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Metroid Prime Trilogy engineer explains why he thinks the motorcycle sections in Metroid Prime 4 were ‘just a waste’
Jack Mathews thinks the Sol Valley Vi-O-La sections led to a “split focus”…
Scientists may have found new dwarf planet
Rubin Observatory has spotted a distant world beyond Pluto as its decade-long survey begins revealing the hidden solar system.
Ria Health Brings 24/7 Peer Support to Virtual Alcohol Treatment Through Partnership with CHESS Health
Patients in all 50 states now have round-the-clock access to peers, community and crisis support through the Connections app, extending care far beyond the scheduled visitSan Francisco, CA, Oct. 29, 2026 (GLOBE NEWSWIRE) -- Cravings, stress and isolation don’t keep office hours. Ria Health, the nationwide telehealth provider of alcohol use disorder treatment, is making sure its patients never face those moments alone. Through a new partnership with CHESS Health, every Ria Health patient now has
Is Montana holding the key to undoing Citizens United?
A measure on Tuesday's ballot aims to stem the flow of dark money spending in the state—and maybe beyond.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
Biss criticizes government inertia in NU Political Union town hall
Former Mayor Daniel Biss, the Democratic nominee for Illinois’ 9th Congressional District, criticized governmental stagnation in a town hall hosted by the Northwestern Political Union on Wednesday. Days before the Nov. 3 midterm elections, Biss told audience members that lawmakers must move beyond performatively asserting their political stances and instead shift toward passing realistic legislation...
‘That goes beyond party’: Democrat superintendent candidate Jennettie Marshall talks priorities, politics
The Oklahoma general election is days away, and education issues are at the top of voters’ minds. StateImpact’s Beth Wallis sat down with the Democratic nominee for state superintendent, Jennettie Marshall. Marshall is a pastor and former Tulsa Public Schools board member.
'That goes beyond party': Democrat superintendent candidate Jennettie Marshall talks priorities, politics
The Oklahoma general election is days away, and education issues are at the top of voters' minds. StateImpact's Beth Wallis sat down with the Democratic nominee for state superintendent, Jennettie Marshall. Marshall is a pastor and former Tulsa Public Schools board member.
Global Health & WASH
The US National Institutes of Health reopened its center and program-project machinery in force. NIGMS is funding Collaborative Program Grants for interdisciplinary teams, NIAID opened both its Immune Tolerance Network and a next-generation R&D call, the NCI runs its Carcinogen Hazard Assessment Monographs program, the National Library of Medicine is funding institutional training in biomedical AI and data science, and NIH reopened its Centers for AIDS Research. The tell: these pay for standing centers and multi-year consortia at institutions with an existing funded research base, not one-off projects, so the fit is an established US research institution, not a single investigator. Disease-specific foundations are again funding the researcher, not just the research. The Parkinson’s Foundation opened its Paul Oreffice Innovations in Care Award and the National Ataxia Foundation its Research Seed Money Grant. The tell, the same one we flagged last cycle, is a named early-career or seed award that builds a pipeline of scientists committed to one condition, so what wins is a researcher willing to specialize. The post-USAID global-health money is routing through a State Department program statement and multilateral innovation funds. The US Department of State’s Bureau of Global Health Security and Diplomacy opened its Advancing Global Health Annual Program Statement, Grand Challenges Canada opened Nexa Lighthouse for climate and health innovation in Asia and the Pacific at USD $250,000 to $2,000,000, and CEPI opened a rolling call on vaccine-manufacturing analytics. The tell: the largest health money this cycle sits in a standing program statement and in staged innovation vehicles, not in a single bilateral grant. Total Estimated Funding Pool: ~$35.4M across discrete grants. (Separately, large national-formula envelopes not counted in this total: U.S. Department of State, Bureau of Global Health Security and Diplomacy (GHSD).) This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. New opportunities: Paul Oreffice Innovations in Care Award, Parkinson’s Foundation. *New!* *Closing soon!* The Parkinson’s Foundation created the Paul Oreffice Innovations in Care Award to fund clinicians rethinking how people with Parkinson’s disease receive care. The Foundation is using pilot funding to move promising ideas into testable projects, backing work across four lanes: strengthening community clinician capability, redesigning care models, building patient-centered technologies, and defining the minimum clinical datasets that make better standards possible. It wants hypothesis-driven, clinically grounded projects that can generate evidence strong enough to attract further funding. By opening the door to clinicians at every career stage and strongly preferring projects that involve people with Parkinson’s in their design, the Foundation signals that it values practical, patient-shaped innovation over prestige. The strongest fits are US-licensed clinicians with a focus on Parkinson’s and an institutional home for applied care research. Geographies: united states. Who can apply: Clinicians of all career stages, from fellows to established faculty, who are licensed to care for patients in the United States and have a significant focus on Parkinson’s disease. Physicians must have completed a neurology residency (or justify how their training pathway benefits people with PD); allied health professionals must hold an advanced degree, typically a PhD. Fellows, those in mentored positions, and those within two years of starting an independent position require a mentor and a mentor support letter. The sponsoring institution’s grants office is the authorized recipient and funds are disbursed to the institution. Funding amount: Maximum of $200,000 over two years; up to three awards. Targeted Sectors / SDGs: Health; Innovation; Science & Technology. Deadline: November 1, 2026. Learn more and apply here. Design and Deliver the Next EIT Health Bootcamps, EIT Health. *New!* *Closing soon!* EIT Health is opening its call for consortia to design and deliver the next generation of its health start-up bootcamps, funding the curriculum, masterclasses, mentoring, and investor engagement that turn early health ventures into fundable companies. The organization is using these learning paths to strengthen Europe’s health innovation pipeline across digital health evidence, deep tech and AI commercialization, cross-border investment, and patient access. What EIT Health wants to back is not a single course but durable delivery capacity built by partners who span industry, education, and research. Requiring multi-country consortia and a revenue-sharing stake in the programs signals that EIT Health expects these bootcamps to outlast the grant. The strongest fits are established training providers, universities, and industry partners with proven reach into health entrepreneurs. Geographies: Europe. Who can apply: Consortia only (individuals cannot apply), comprising a minimum of two and a maximum of five independent legal entities. Partners must cover at least two sides of the Knowledge Triangle (industry, education, research), including at least one industry organisation, and at least two entities must be legally established in different Horizon Europe countries. Funding amount: Foundational Learning Path: up to EUR €112,000; Thematic Learning Paths: up to EUR €124,500 per path (up to four thematic projects); up to EUR €610,000 total EIT Health funding available under the call. Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. Technology Transfer Offices & Entrepreneurship Support Call (Beyond the Lab: From Research to Venture), EIT Health. *New!* *Closing soon!* EIT Health is opening its Technology Transfer Offices and Entrepreneurship Support Call to fund consortia that will deliver the Beyond the Lab: From Research to Venture program for healthcare researchers. EIT Health is using the grant to build local capacity for turning laboratory science into incorporated start-ups, paying experienced technology transfer offices and entrepreneurship support providers to run masterclasses, structured mentoring, and a closing Pitch Day across two cohorts. It wants to back organizations that can walk researchers from discovery to company formation, not just teach theory. Requiring two transfer offices plus one venture-building provider signals that EIT Health values proven commercialization experience alongside academic reach. The strongest fits are European research-commercialization teams with a track record of moving health innovations toward investable ventures. Geographies: Europe. Who can apply: A consortium of two Technology Transfer Offices (representing higher education institutions or research organisations) and one Entrepreneurship Support Provider with demonstrated experience in venture building and start-up support. Applicants may apply for more than one learning path where they can demonstrate the required expertise and capacity for each. Funding amount: Up to EUR €77,000 in 2027 and up to EUR €77,000 in 2028 (up to EUR €154,000 total per consortium over two years). Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. EIT Health RIS Country Representatives Call (2027-2028), EIT Health. *New!* *Closing soon!* EIT Health is seeking organizations to serve as Country Representatives across eleven Regional Innovation Scheme countries in central and eastern Europe for the 2027 to 2028 period. The money funds a national anchor in each country, an organization that maps the local health innovation ecosystem, connects startups and researchers to EIT Health programs, and builds the stakeholder relationships that let health ventures grow. EIT Health is backing local capacity rather than individual projects, which is why it accepts both single organizations and national consortia that span education, research, and industry. The requirement for co-financing signals that it wants representatives already embedded in their national systems. The strongest fits are established ecosystem builders with deep ties to health innovation stakeholders in one eligible country. Geographies: Croatia; Czech Republic; Estonia; Greece; Hungary; Latvia; Malta; Romania; Serbia; Slovenia; Turkey. Who can apply: Registered legal entities established in one of the eligible EIT RIS countries. Single organisations or national consortia may apply. Consortia must include at least two sides of the Knowledge Triangle (education, research and industry), and all consortium partners must be established in the same eligible country. Suitable applicants have demonstrated experience in healthcare innovation ecosystem development, innovation support and entrepreneurship, start-up acceleration, technology transfer, research and higher education, business support, and stakeholder engagement, with strong links to national innovation stakeholders. Funding amount: Up to EUR €182,000 per Country Representative (maximum funding per project); total call budget up to EUR €1,274,500; EIT Health funds up to 60% of total eligible project costs. Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. Architects of Trust: Community-Driven Demand Creation for New TB Vaccines, Treatment Action Group (TAG). *New!* *Closing soon!* Treatment Action Group, with funding from Wellcome, is opening its Architects of Trust call to help communities prepare for the new tuberculosis vaccines now moving through late-stage trials. The money backs civil society and community-based organizations to raise awareness, surface local questions and concerns, and press policymakers toward equitable national rollout. By pairing each grantee with an advocacy mentor and running a strategy workshop alongside the Global TB Vaccine Forum, Treatment Action Group is building a durable advocacy bench rather than funding one-off outreach. The two-stage design, starting with a short expression of interest, signals that fit and community rootedness matter more than polished proposals. The strongest fits are locally trusted groups with real TB, immunization, or health advocacy experience and a committed project lead. Geographies: Brazil; Ethiopia; India; Indonesia; Kenya; Malawi; Mozambique; Nigeria; Peru; Philippines; South Africa; Tanzania; Vietnam; Zambia. Who can apply: National, subnational, or regional civil society organizations (CSOs) or community-based organizations based in one of the 14 eligible countries or in Eastern Europe/Central Asia regional networks, with experience in TB, immunization, or other health advocacy and in community engagement or policy advocacy; well integrated into stakeholder networks with membership or affiliation to other CSO or community networks; naming a dedicated project lead (’architect of trust’) who can attend the April 2027 Zaragoza forum in person; and holding (or committing to adopt) organizational policies on safeguarding (bullying, harassment, abuse, and harm), equity, diversity and inclusion, and legal compliance, research practice and governance. Funding amount: Grants of up to US$45,000 will be awarded to 8 CSO partners across 14 high-TB-burden countries plus regional networks in Eastern Europe and Central Asia; each grant funds 12 months of work. Targeted Sectors / SDGs: Health; Governance; Policy & Advocacy. Deadline: November 4, 2026. Learn more and apply here.
Medical waste management in home health: What agencies should consider
As more healthcare shifts from clinical settings into patients’ homes, home health agencies must consider how to safely manage waste generated during care delivery, a challenge that extends beyond their core clinical responsibilities.
Legends Radio highlights Claudio Jaffé’s musical passion
Claudio Jaffé COURTESY PHOTO This week's Legends Radio Local Artist Spotlight shines on internationally celebrated cellist Claudio Jaffé.For Claudio, a lifelong passion for music began at an early age. At just eleven years old, he made his orchestral debut in his native Brazil, launching a career that would take him to celebrated stages across the globe, including New York, London and Tokyo.A prizewinning performer and Yale University graduate, Jaffé has dedicated much of his career not only to musical excellence but also to sharing his knowledge with aspiring musicians. He previously served as Dean of the Lynn University Conservatory of Music.Today, Claudio serves as principal cellist of the Palm Beach Symphony, performing in the orchestra's Masterworks Concert Series at the Kravis Center. He also hosts “Symphony Sessions: Lunch & Learn,” giving music lovers an opportunity to explore the stories, composers, and preparation behind upcoming concerts. His scheduled sessions for the 2026–2027 season include February 4 and April 22.Beyond the stage, Jaffé remains deeply involved in community outreach and music education. Through school residencies, student coaching, and educational performances, he continues to share his experience with young musicians throughout Palm Beach County.His contributions reflect a career dedicated not simply to performing beautiful music but also to ensuring its appreciation continues for generations to come. His commitment to both performance and education continues to make a lasting impact on South Florida's cultural community.That is why Claudio Jaffé is this week's Legends Radio Local Artist Spotlight.
From Business to Beluga Whales: Inside Briana Maltez’s Marine Biology Journey
Beneath the hum of filtration pumps and the rhythmic trickle of saltwater tanks, Briana Maltez is completely in her element. The Texas A&M University at Galveston marine biology major is following her lifelong love of animals—and that passion drives her pursuit for a second bachelor’s degree in a field that endlessly ignites her curiosity.As a native of nearby Sugar Land, Maltez did not initially set out toward coastal science. She initially earned a degree in agricultural business through the Texas A&M RELLIS campus in Bryan, but her subconscious fascination with ocean life grew into an unignorable question during her time there: What if? Photo courtesy of Briana MaltezThe query continued to plague her until a turning point came during a Florida trip to near the end of her first degree. Up-close encounters with marine life reignited a childhood dream and shifted her trajectory toward the sea. Yet, stepping into an entirely new field required a leap of faith. Faced with the daunting prospect of starting over, Maltez placed her trust in Texas A&M Galveston as the premier marine biology program in the state. Deciding that she would never feel satisfied unless she tried, she applied—finding the resolve to face the demanding science curriculum head-on.Any lingering doubts vanished during her first semester on the island campus. The close-knit campus environment and small class sizes allowed Maltez to build immediate connections with her professors and peers—a welcoming backdrop where her love for ocean stewardship could truly take root.“I instantly fell in love with the campus and the small classes,” Maltez recalled. “I was like, ‘Yep, I’m so happy I came here.'”Before long, Maltez found a second home inside the university’s Sea Life Facility. Designed to mirror complex, large-scale aquarium infrastructure on a manageable scale, the space offered Maltez a safe training ground to grow familiar with system maintenance and water chemistry under the tutelage of Sea Life Facility Manager Katie St. Clair. While tending to the tanks there, she grew especially fond of watching the facility’s resident clownfish breed and care for their clutches.“Katie definitely wants us to learn, ask questions, and get hands-on experience,” said Maltez. “So, it has been great having her help with getting pre-experience before doing it in the real world.”That hands-on experience quickly sparked a deeper interest in animal husbandry—the daily art of monitoring the animal’s diets, observing their behavior, and maintaining the aquarium’s overall health. Eager to turn those newfound practical skills into technical credentials, Maltez even earned certifications in life support systems and water quality management through Aquatic Animal Life Support Operators courses.Maltez’s passion soon extended beyond campus boundaries. During a summer study abroad program in South Caicos, Turks and Caicos, Maltez immersed herself in underwater field research. In addition to learning about local history and ecotourism impacts, she snorkeled daily, utilizing drones and hydrophones to record underwater bioacoustics and listen to the often-missed crackles of snapping shrimp, fish, and lobster larvae. Maltez at SeaWorld San AntonioPhoto courtesy of Briana Maltez“What you don’t realize is that there’s so many animals around you, but because they sense, you already, they run away,” Maltez explained. “I think that’s really cool to experience, because you don’t even think about that when you travel.”Yet, among all her academic adventures, a week-long course at SeaWorld San Antonio through MARB 302 stands out as a defining milestone. Camping on-site alongside fellow marine biology majors, Maltez gained behind-the-scenes access to professional veterinary and husbandry operations, building lasting friendships and even interacting with penguins in the snow.The undeniable highlight of the trip was face-to-face interaction with beluga whales. Having admired the titanic cetaceans for years, getting to learn directly from their trainers solidified her ultimate aspiration: to care for belugas and contribute to conservation research supporting wild populations in Alaska.“They are one of my favorite animals, and I had heard so much about them,” said Maltez. ”Getting to see them up close was an amazing experience.”When she is not analyzing marine environments, Maltez documents campus life through her camera lens. As a photographer for the Nautilus student newspaper, the Yell Leaders at Midnight Yell, and the Shark Scholars club, she brings the university’s passionate energy into sharp focus. With less than a year remaining until graduation, Maltez looks back on her decision to return to school with gratitude. Taking her journey one day at a time helped her push through demanding coursework, unlocking opportunities she once thought were out of reach. Today, Maltez stands as a compelling example of what happens when passion meets purpose: By trusting her drive and embracing every hands-on experience, she has transformed a second chance at college into an opportunity to dive into a career beneath the waves.
How political polarization creates business uncertainty
New research by a Florida State University professor in the Herbert Wertheim College of Business finds that America's increasingly polarized political system reaches far beyond the ballot box, creating ...
How political polarization creates business uncertainty
New research by a Florida State University professor in the Herbert Wertheim College of Business finds that America's increasingly polarized political system reaches far beyond the ballot box, creating ...
Meta says it’ll probably delay its controversial new business terms again
Meta says conversations with partners could extend beyond November 20th.
October is Dental Health Month
The month of Halloween is also Dental Health Month. We talk to a dentist and author about how benefits of brushing go beyond a gleaming smile.
October is Dental Health Month
The month of Halloween is also Dental Health Month. We talk to a dentist and author about how benefits of brushing go beyond a gleaming smile.
Opinion: What would you tell your children about your lowest-paid employee?
Former Exelon executive Sonny Garg argues that business leaders need to look beyond spreadsheets and understand how their decisions affect workers' lives.
Beyond Horizon: Science and competitiveness brief
Read the latest news and analysis from Science|Business.
Steelers vs Browns: Big storylines in NFL Week 8
This week, the Pittsburgh Steelers and Cleveland Browns square off, but the storylines go way beyond Acrisure Stadium.
How the end of “Roe” is reshaping medical care
In her new book “Side Effects,” Alice Miranda Ollstein shows that the impact of abortion bans goes far beyond reproductive health care.
Why won’t candidates debate? The reasons go beyond this viral gaffe.
Politicians are trading unscripted scrutiny for safe appearances and attack ads.
Astronomers Discover a Giant New Dwarf Planet Candidate Hiding Beyond Pluto
What else could be out there?
Farm Family of the Week
The Crider crowd may be scattered across central and eastern Illinois, but they farm from Gibson City and Argenta to St. Joseph and beyond. Dan Crider, a St. Joseph native,
Greenland Beyond Bases: Business Opportunities at the Top of the World
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The Bar Harbor Story is generously sponsored by Birch Bay Retirement Village. NORTHEAST HARBOR—Food’s ability to be a social cornerstone is one of the founding premises of one of Mount Desert Island’s newest, and perhaps most unique, endeavors in cuisine based catering. From intimate gatherings to large functions, Olive & Pearl creates charcuterie boards that can not only astound the tongue but also the eye. Many would agree that food can bring people together. In fact, culinary delights, and sometimes adventures, have been utilized as the centerpiece for social and business occasions of all kinds for centuries. Often times it even has the ability to start conversation, temper differences, and build new relationships. Settings can vary, from a multi-course sit down meal, a backyard barbecue, or a couple of bowls of chips and dip in front of a television, but the result can be the same. Humans come together, they share food, and the whole process is a catalyst for thought, communication, and a shared experience. Imagined and created by the mother and daughter team of Dr. Susan Scanlan (formerly MacCready) and Kayla Musetti, Olive & Pearl was started in June of this year and has been creating, delighting, and growing since. We gave the two an opportunity to answer some questions about themselves and their new venture. The love, passion, and pride for what they are doing and the fact that they are doing it as a mother and daughter team came through so strongly in their answers that we decided to present the question and answer session in its entirety. The Interview What did you do prior to Olive & Pearl? We’re a mother-daughter team, and food, family, and hospitality have always been a big part of our lives. Susan grew up in a large family in Pennsylvania, where the table was always at the center of everything. There were multiple dishes, little bites, stories, and plenty of conversation. Food was never simply about eating. It was about gathering, celebrating, and spending time together. After living in several Southern states, Susan relocated to Maine more than 20 years ago, and Maine has truly become home. She loves its sense of community, natural beauty, and connection to local food and makers. Professionally, Susan is a registered nurse and holds a doctorate in health administration. She has worked in a variety of clinical, nonclinical, and leadership roles and currently works as a faculty academic director. Building Olive & Pearl has been an exciting creative venture alongside her career. Kayla is also a registered nurse and works in the ambulatory surgery unit at Mount Desert Island Hospital. While healthcare is an important part of both of our professional lives, Olive & Pearl has given us an entirely different way to connect, collaborate, and create something together. Tell us about the business. Olive & Pearl is a mother-daughter charcuterie business centered around beautiful food, thoughtful presentation, and bringing people together. We create curated charcuterie boards designed for everything from intimate gatherings and dinner parties to weddings, showers, corporate events, boat days, and celebrations of all kinds. We think of our boards as more than food. They’re an experience and an invitation to gather, slow down, and enjoy time with the people around you. We’re intentional about quality ingredients, artful presentation, and personalization. Whenever possible, we also incorporate Maine-made and locally sourced products, including cheeses, jams, honey, seasonal produce, and baked goods. What inspired you to start Olive & Pearl? In many ways, Olive & Pearl grew out of something we had been doing our entire lives —bringing people together around food. We’ve always loved creating beautiful spreads for family and friends. There was something special about watching people gather around a table, graze, talk, laugh, and simply enjoy being together. Friends and family began telling us, “You should do this as a business,” and one day, we stopped laughing it off and started mapping it out. We realized we had an opportunity to combine our different strengths and create something that reflected what we both value: hospitality, creativity, quality, and connection. Charcuterie felt like the perfect expression of that. It’s beautiful and creative, but it’s also communal and approachable. At its heart, it brings us right back to where the idea began, a table filled with food and people gathered around it. Do you have a business partner(s)? Our business partner is each other! Olive & Pearl is truly a mother-daughter partnership, and building it together has been incredibly meaningful and sometimes hilarious! We know each other extremely well, which can be both a strength and, occasionally, a challenge. We have different personalities and strengths, but we’ve learned to lean into those differences and use them to our advantage. There’s a lot of trust between us, and we’ve learned how to communicate, collaborate, and occasionally laugh at ourselves along the way. We’re also building Olive & Pearl while continuing our careers in healthcare and education, so we’re taking things thoughtfully and growing the business one step at a time. We all have to start somewhere. One of the most rewarding parts has been having something that belongs to both of us. We get to learn from one another, celebrate the small wins together, and create something that we hope will become part of our family’s story for years to come. When exactly did you launch the business? Recently, in June 2026, we launched Olive & Pearl, turning an idea we had talked about for years into real business. It has been incredibly rewarding to watch something that started around our own family table and begin to find a place within the community. How is it going so far? How do you feel it has been received? It has been going very well, and we’ve been incredibly encouraged by how warmly Olive & Pearl has been received. As more people hear about us, our orders have continued to increase, and we’re seeing growing interest in boards for events and celebrations. It’s exciting to watch something that began as an idea between the two of us start to grow within the community. One of the most rewarding parts is hearing from customers after their events or seeing photos of our boards being enjoyed. Knowing that something we created became part of someone’s celebration is incredibly meaningful to us. Is there a brick-and-mortar location or is it all online? Olive & Pearl is currently an online business. We’re intentionally starting this way so we can build relationships with our customers, learn what they love, and grow thoughtfully. Our long-term dream, if the business continues to grow, is to eventually have a sit-down space where people can experience Olive & Pearl in person. Do you have any future plans if things go well/keep going well? Absolutely. For now, our focus is on continuing to grow Olive & Pearl, getting to know our customers, and becoming part of more celebrations and gatherings throughout the area. Long term, we would love to have our own physical space where people can come together and experience Olive & Pearl beyond the boards themselves. We can imagine a place that combines food, hospitality, creativity, and community. Ultimately, we want to build something that continues to grow while still feeling personal and connected to the people and community around us. Is there an aspect of the business that you really love? There are so many things we love about it, but the people and the connection are probably at the top of the list. We love creating something beautiful, but what really matters to us is what happens after we hand it over to the customer. We picture our boards on kitchen islands, at backyard gatherings, on boats, at weddings, or around a long dinner table—with people laughing, talking, and lingering a little longer. We also love the creative side. Every board is an opportunity to play with color, texture, shape, seasonality, and flavor. We don’t just want to fill a board, we want to curate an experience. And supporting local makers is especially meaningful to us. Whenever possible, we love incorporating Maine-made cheeses, local jams and honey, seasonal produce, and products from nearby bakeries and businesses. It allows us to showcase some of what makes Maine so special. Perhaps most importantly, we love doing this together. Building something as a mother and daughter has given us another way to spend time together, learn from one another, celebrate small wins, and create memories. Is there anything regarding any aspect of Olive & Pearl that you may think is important that is not reflected on the website? One thing that may not always come through online is just how personal this business is to us. Olive & Pearl isn’t something we created simply because charcuterie was popular. It grew very naturally from our family, our traditions, and the way we’ve always enjoyed gathering with people we love. There is a lot of heart behind every board. We think about the people who will be enjoying it, the occasion they’re celebrating, and how we can make the experience feel special. We also want people to know that we care deeply about supporting locals whenever possible. Using Maine products isn’t just about sourcing ingredients, it’s about telling a little story about where we live and the talented people who make and grow wonderful things here. Is there anything that we have not asked that you think is important/relevant that would like readers to know? We hope people see Olive & Pearl as more than just a charcuterie business. At its heart, it’s about gathering. Our goal is to make it easier for people to create those moments when everyone gathers around the table, conversations last a little longer, and people simply enjoy being together. We also hope people see the mother-daughter story behind the business. We’re building Olive & Pearl alongside our careers, one step at a time, and there is something incredibly special about creating a shared family legacy in the process. For us, success isn’t just about how many boards we make. It’s about becoming part of people’s special moments - birthdays, weddings, weekends with friends, quiet evenings at home, or a beautiful day on the Maine coast. If one of our boards helps people put down their phones, linger a little longer, laugh a little more, and enjoy the people around them, then we feel like we’ve done exactly what we set out to do. All photos courtesy of Olive & Pearl. LINKS TO LEARN MORE Olive & Pearl website Olive & Pearl Facebook Olive & Pearl Instagram RECENT PRESS RELEASES AND BRIEFS To see all the press releases, click here. To see our news, click here. For the full archive, click here. All of these are on our dedicated website. [ ](https://barharborstory.substack.com/p/pemetic-students-share-thoughts-on) [ Pemetic Students Share Thoughts on Declaration of Independence Oct 22 ](https://barharborstory.substack.com/p/pemetic-students-share-thoughts-on) [ Read full story ](https://barharborstory.substack.com/p/pemetic-students-share-thoughts-on) [ ](https://barharborstory.substack.com/p/fall-festival-at-the-noreaster-for) [ Fall Festival at the Nor’Easter for Mount Desert Nursery School, October 24. Oct 22 ](https://barharborstory.substack.com/p/fall-festival-at-the-noreaster-for) [ Read full story ](https://barharborstory.substack.com/p/fall-festival-at-the-noreaster-for) [ ](https://barharborstory.substack.com/p/explore-career-opportunities-where) [ Explore career opportunities where you make a difference for Maine’s natural resources—and the people who enjoy them. Oct 22 ](https://barharborstory.substack.com/p/explore-career-opportunities-where) [ Read full story ](https://barharborstory.substack.com/p/explore-career-opportunities-where) [ Cranberry Isles Comprehensive Plan Committee Oct 22 ](https://barharborstory.substack.com/p/cranberry-isles-comprehensive-plan) [ Read full story ](https://barharborstory.substack.com/p/cranberry-isles-comprehensive-plan) [ ](https://barharborstory.substack.com/p/community-school-hosts-a-pancake) [ Community School Hosts a Pancake Breakfast Fundraiser October 25! Oct 22 ](https://barharborstory.substack.com/p/community-school-hosts-a-pancake) [ Read full story ](https://barharborstory.substack.com/p/community-school-hosts-a-pancake) HELP SUPPORT THE BAR HARBOR STORY When we started The Bar Harbor Story, we didn’t know if anyone would read it. But you showed up. You shared. You sent tips. Now—over 400,000 views every month later—it’s clear: people here care about their community and each other. We’ve kept everything free because news should never be out of reach, but every one of our stories takes time to write, and your support keeps The Bar Harbor Story going. If you value our work, please consider a paid subscription, a founding membership, or a sponsorship. It truly helps us cover one more meeting, tell one more story, shine one more light. Even $5 a month makes a difference. Click here to become a one-time supporter now. Thank you so much for being here. Founding member information can be found here. Have questions about sponsorships? Just send Shaun an email at sfarrar86@gmail.com, he’d love to hear from you. Subscribe Share Bar Harbor Story Share Leave a comment
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The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
Commentary: The slime machine in Ohio politics has reached a despicable new low in the 2026 election
I knew 11 years ago that our public discourse would be degraded down into unfathomable levels. The 2026 campaign in Ohio has now confirmed it beyond anything I could've imagined.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
Meta (META): Can WhatsApp Become a Meaningful Business Beyond Advertising?
Meta Platforms, Inc. (NASDAQ:META) is turning business conversations into revenue. Paid WhatsApp messaging helped Family of Apps other revenue grow 73% to $1.01 billion in the second quarter of 2026, following 74% growth in the first. That category includes subscriptions and other services and represented just 1.7% of group revenue. Expanding messaging alternatives make merchant […]
Expanding Iowa State students' poultry knowledge
Dawn Koltes wants to increase Iowa State students’ awareness of the many opportunities available within the poultry industry in Iowa and beyond.
'Office Space' star Richard Riehle dies at 78
Actor Richard Riehle arrives at the premiere of New Line Cinema's 'A Very Harold & Kumar 3D Christmas' at Grauman's Chinese Theatre on November 2, 2011 in Hollywood, California. (Jason Merritt/Getty Images)Richard Riehle, known for his role in the 1999 film Office Space, has died. He was 78.A statement shared by Artists & Representatives and Wright Entertainment, Inc. announced Riehle's passing on Monday, writing, "Our industry has lost an exceptional talent, and our community has lost a truly wonderful man.""We are deeply saddened to confirm the passing of our beloved client, Richard Riehle, this past weekend," the statement said. "A remarkable actor whose career in theater, film, and television spanned nearly five decades and more than 400 projects, Richard leaves behind an extraordinary legacy."The statement continued, "Beyond his immense talent, he will be remembered for his genuine goodness, boundless kindness, and unwavering generosity, particularly toward emerging actors and filmmakers, whom he encouraged and supported at every opportunity."Born on May 12, 1948, Riehle starred in many television series and films over the years.Notable projects include Casino, The Man from Earth and Deuce Bigalow: Male Gigolo.He got his start as an actor at the University of Notre Dame, where he was involved in the University Theatre and starred in several stage productions. He went on to earn a Master of Fine Arts in acting and directing from the University of Minnesota.While he's played characters that have an "average Joe" presence, he always made the most of his brief screen time.Some roles that he is remembered for include The Quartermaster in Glory, the train guard in The Fugitive, Reverend Scroggins in Fried Green Tomatoes and Bill Cozbi in Bridesmaids.On television, he starred as Principal Ed Rooney in the 1990 series Ferris Bueller and as grandfather Walt Finnerty in the early 2000s sitcom, Grounded For Life.In 2023, he also played Warden Reynolds in Barry.Riehle is survived by his wife, Jane Latham, and their four children.Copyright © 2026, ABC Audio. All rights reserved.
Beyond Moneyball: What the Milwaukee Brewers Can Teach Businesses About Teamwork
The Milwaukee Brewers’ sweep of the defending champion Los Angeles Dodgers stunned the baseball world. But the series also showed that assembling the biggest collection of stars isn’t the only path to success, says University of Delaware researcher Kyle Emich. The Brewers' run to the World Series – which continues this week against the Tampa Bay Rays – demonstrates how a team can combine its strengths, adapt to an opponent and operate as a system, Emich says. That same p
Spotify launches paid podcast memberships with perks beyond bonus content
Spotify's new paid memberships let podcasters offer fans exclusive perks, including ad-free listening, early access, and bonus content, while keeping 90% of the revenue.
“There is life after death.” Why science has no theory that can prove it
Science has studied people who came remarkably close to death, but the hardest question still remains beyond direct measurement. That gap is exactly where the debate becomes most interesting.
ChartHop expands organizational intelligence beyond HR data, connecting the business to the people who run it
New Salesforce, Zendesk and Google Sheets connections, finance-facing planning, portfolio-wide headcount visibility and
A week of disgraces dominates state politics
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A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
List of DVD release dates for Oct. 20 and beyond
Following is a partial schedule of coming movies on DVD. Release dates are subject to change: OCTOBER 20: Masters of the Universe 20: Hadestown: The Musical 20: One Night Only
Beyond the textbook: Bringing real science into the classroom
Forget baking soda volcanoes! Some high school students are getting hands-on experience with real genomic research. We talk with educators about how partnerships with working scientists are bringing cutting-edge science into the classroom.
Generous paternal leave policies improve maternal and newborn health, family finances and workplace equality
Paternity leave benefits extend beyond dads, supporting maternal recovery, child health, family finances and a more equitable workplace.
Toppenish School District receives $7.5 million federal grant to expand mental health services for students
The BriefThe Toppenish School District has been awarded up to $7.5 million through Project AWARE (Advancing Wellness and Resiliency in Education), a federal grant administered by the Substance Abuse and Mental Health Services Administration (SAMHSA).The grant will provide up to $1.5 million annually over five years to expand mental health services, strengthen substance use prevention and intervention, and improve access to support for students.District officials say the funding will help address identified gaps in services, particularly drug and alcohol counseling at the high school level, and will allow the district to build capacity for long-term mental health support.TOPPENISH, WASHINGTON — The Toppenish School District has been awarded up to $7.5 million through Project AWARE (Advancing Wellness and Resiliency in Education), a federal grant administered by the Substance Abuse and Mental Health Services Administration (SAMHSA), to expand mental health services and substance use prevention for students.District officials said access to mental health resources has been limited, making it difficult for some students and families to get the support they need. The federal Project AWARE grant will help address those challenges by bringing schools and local healthcare providers together to better support students.The grant will provide up to $1.5 million annually over five years to expand mental health services, strengthen substance use prevention and intervention, and improve access to support for Toppenish students. Deputy Superintendent Dr. Jeff Camero said the district is focused on coordinating with service providers in the area to work as a unified team."We made the awareness with the grant. But looking at all the service providers in the area and how can we all together work as a team?" Camero said.Camero said the district wants to use those resources to reach students earlier and provide more support for those struggling with their mental health. The district plans to address a range of mental health challenges, from anxiety and depression to youth suicide risk. Camero emphasized the importance of supporting students in grades eight through twelve, where suicide rates are a particular concern."Making sure from anxiety to depression, making sure that we can help support our students at those levels, but also the youth suicide risk, looking at that as a top in this area, in our grades, you know, eight, for example, eight through 12, looking at suicide rate and looking at how whether we look at the ACES or whatever program we're looking at, that's federal, how that connects and how we can better serve our students with this extra funding," Camero said.The funding will allow the district to bring in additional staff, including mental health and substance use specialists, to work directly with students and connect families with community resources. The district is already posting positions, including a director role, with additional positions expected to follow.District officials are also thinking beyond the grant's five-year timeline. Brittany Kaple, Director of Public Relations for the Toppenish School District, said the intent is to build capacity and establish connections that will sustain mental health services even after the grant funding ends."We do have the director position already posted, with some of our other positions following really close behind that. But the intent is to, you know, it's a five-year grant, so those positions would be funded for that five years. But there's also the intent to build capacity and make those connections so that at the end of the grant, when that money, you know, if that money is not renewed," Kaple said.As student mental health needs continue to evolve, access to drug and alcohol counseling has become an important priority for the district. Kaple said teachers and staff have been raising concerns about the need for more support, especially at the high school level."And that was something that was also an identified need by our high school staff when the superintendent met with them last school year. They said that that was a really great need, something that they felt was a gap in services that we were providing for our students. And so this is going to be one way to help support that need," Kaple said.The Toppenish School District says its goal is to ensure students and families have access to the support they need, both now and in the years ahead. Additional positions, including drug and alcohol counselors and family engagement specialists, are expected to be posted in the coming weeks. News Sunnyside City Council navigates 2027 budget planning Monique Garcia News "Dancing with the Stars" champion J.R. Martinez shares message of resilience during Central Washington visit Tyler Wargo News Toppenish, Mattawa educators honored at state Educator of the Year Awards Erin Wencl News Kennewick educator named 2027 Washington Teacher of the Year Erin Wencl News Voters to decide the next Yakima County Sheriff Monique Garcia COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
Brain drain beyond Israel: Scientists are leaving the US, too
Delays in research grants and concerns about the future of American science are pushing researchers to seek opportunities overseas; One scientist who was sure she would spend her entire career in the US: ' I don’t think here is our home anymore '