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FDA wants feedback on how to regulate generative AI in medicine
“Generative AI-enabled medical devices are poised to reshape the health technology landscape, and the FDA has an important responsibility to provide thoughtful leadership for this new era,” says radiologist Rick Abramson, MD.
AI Helps Researchers Win NIH Grants. Will Science Suffer?
A new analysis of thousands of NSF and NIH grant applications—including some confidential rejected submissions—illuminates new patterns in generative AI’s relationship with federally funded research.
Op-Ed | A New Future for Farming, Food, and Health
Regenerative farming systems focused on building soil health offer the potential to chart a new path toward a sustainable future.
Internationally Recognized Scientists Expand Miller School of Medicine’s Strength in Disease Modeling and Regenerative Science
New chair Dr. Leor Weinberger is building a team that values fundamental scientific discovery and entrepreneurial energy.
FDA approves new Alzheimer’s PET imaging agent from Lantheus
Tauklarify, also known as MK-6240, is a radiodiagnostic agent indicated for positron emission tomography scans of adults suspected of having the degenerative brain disease.
30 New Things Your iPhone Can Do in iOS 27
Apple will release iOS 27 in September, and despite the company's focus this year on refining its flagship operating system and nixing bugs, there are still many additional features on the way, not least of which is Apple's new context-aware Siri, re-tooled for the generative AI era. This year's major iPhone software update isn't all about AI, though, as the following feature list testifies.
Stanford GSB Tops New AI Readiness Index; 42% of Business Schools Require No AI Coursework
A PR firm's new index scores 60 global B-schools on AI readiness and finds none teaches generative engine optimization.
Twitch Is Now Using Your Content To Train Amazon AI Models And Has Hidden The Option To Opt Out
For now at least, you can stop Amazon from using your streams and chat to train its generative AI tools
Shopify Inc. (SHOP) Soars as Jim Cramer Applauds AI-Driven Business Formation
Software platforms faced selling pressure due to concerns that generative AI tools would replace traditional software architectures. However, Shopify Inc. (NASDAQ:SHOP) broke away from sector headwinds after second-quarter financial results showed AI tools driving business formation rather than displacing its e-commerce infrastructure. Because Shopify serves small and medium-sized businesses requiring turnkey checkout, payment processing, and […]
Twitch is Mining Peoples' Streams to Train Amazon's AI
Here's how to opt out of Twitch's new generative AI training setting.
The adult brain can repair itself better than scientists thought
The adult brain may be far better at repairing itself than scientists once believed. In mice, researchers discovered a special group of support cells called astrocytes that respond to damaged brain tissue by rebuilding lost cellular networks. Rather than simply moving into the injured area, these cells perform a remarkable maneuver: they create new nuclei and send them traveling through long cellular extensions to repopulate damaged regions.
Nature Medicine Just Published the AI Mental Health Audit Framework the FDA Hasn’t Written Yet
Nature Medicine's clinically validated AI chatbot audit framework arrives as FDA still lacks generative AI mental health approval standards—here's what trial…
Bruce Willis' wife backs California bill to track rare brain disease
Emma Heming Willis, wife of actor Bruce Willis, visited the California State Capitol this week to advocate for legislation that would add frontotemporal dementia (FTD) to the state’s neurodegenerative disease registry.
The creatures born from code: Generative AI threatens to upend citizen science records
You need to tread carefully among the leaf litter of the Indonesian scrubland and its tropical rainforests. The dead leaves might seem caught in a gentle breeze, but there's more here than meets the eye. ...
Keeping Colorado’s kids’ trust online
By Stuart Jenkins Almost every day, the kids and teens we serve across Colorado are introduced to new generative artificial intelligence and other emerging technology, including conversational AI systems designed to simulate human conversation. These tools are no longer a novelty; they’re a fixture of daily life. At the Colorado Alliance for Boys & Girls […]
PET imaging links psychosis to Alzheimer's-related brain findings
New imaging research suggests that many adults who develop psychosis-related hallucinations or delusions later in life show brain changes associated with AD and other neurodegenerative disorders.
Commentary: AI-obsessed filmmakers are making a crucial miscalculation
Established filmmakers haven’t minced words about their opposition to AI: Guillermo del Toro said he’d “rather die” than use generative AI, while James Cameron has called AI actors “horrifying.” Industry
How scientists are trying to repair the body from within: Regenerative medicine and anti-aging
At Scripps Research and its drug discovery arm, the Calibr-Skaggs Institute for Innovative Medicines, scientists are developing regenerative medicine therapies designed to help the body repair itself from within. Unlike traditional medicines that primarily manage symptoms or slow disease progression, regenerative medicine aims to restore damaged tissues and rebuild function lost to aging and disease. Researchers are advancing programs focused on the heart, lungs, digestive tract and eyes, including investigational therapies for heart failure, idiopathic pulmonary fibrosis, inflammatory bowel disease, age-related macular degeneration and other chronic conditions that become more common as we age. Learn how scientists are activating the body’s natural repair mechanisms to explore a future where medicine may not only treat disease, but help reverse its damage.
Natural Grocers® Named 2026 Sustainability Retailer of the Year by Produce Business
Industry recognition highlights the company's longstanding commitment to organic agriculture, regenerative practices and sustainable retail operations LAKEWOOD, Colo., July 31, 2026 /PRNewswire/...
Nvidia GPUs see yet another price hike of up to 30 percent, as the generative AI hardware crisis worsens
In response Samsung announced another price increase across DRAM as the personal computing nightmare deepens.
AI Tokenomics Explained: What Every Business Leader Needs To Know
AI tokens determine how generative AI systems process information, calculate usage and generate costs, making tokenomics essential for effective AI budgeting.
All The Video Game Studios That Refuse To Use Generative AI
People made games before it existed, and they'll keep doing so long after its gone
Game AI Expert on Where AI Actually Belongs in Game Development
Luke Dicken has been researching AI technology for gaming for decades, and he joined us to share his perspective on the history of AI in games, modern generative AI, game development, production pipelines, player personalization, and why the industry's biggest opportunity doesn't lie in replacing human talent.
The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
I Hate Adobe
Adobe is a wretched, exploitative company that loves generative AI. Many are coerced into paying money for their software and the software runs like garbage.
CEOs and execs can't agree on what AI means for Gen Z workers
For young Gen Zers entering the workforce, the rise of generative artificial intelligence has brought no shortage of uncertainty.
How U.S. Audiences Feel About Gen AI in Entertainment Content
A central question facing all media industries has been what role generative AI should have in content creation. Yet business decisions about AI use aren’t insulated from public opinion. As generative AI begins to enter aspects of content creation, media industry leaders, producers and creatives increasingly need to understand how audiences will respond to its […]
Adobe’s ‘natural look’ camera app embraces generative AI
The update leans on Google’s Nano Banana model.
Creative Life Science Showcases Regenerative Medicine Manufacturing Capabilities at BIO Asia–Taiwan 2026
Creative Life Science Showcases Regenerative Medicine Manufacturing Capabilities at BIO Asia–Taiwan 2026
CHAI seeks to support public health agency uptake of genAI
Its new national initiative will engage 2,000 public health practitioners to arrive at and pilot five key generative artificial intelligence use cases with large language model access through enterprise licenses donated by Anthropic and OpenAI.
UT Health San Antonio study links sleeping long hours with higher levels of an Alzheimer’s-related protein
Findings could signal early neurodegenerative processes at work Contact: Steven Lee, (210) 450-3823, lees22@uthscsa.edu SAN ANTONIO, July 16, 2026 – Regularly sleeping long hours each night is associated with higher levels of an Alzheimer’s-related protein in the blood, even accounting for other health factors, suggests a new study from UT Health San Antonio, the academic […]
Every Hit Counts: The new science behind football and dementia
After decades of debate fueled by courtroom battles, documentaries, and heartbreaking personal stories, the scientific picture linking repetitive head impacts to neurodegenerative disease is becoming sharper. A landmark study of nearly 20,000 NFL players replaces speculation with one of the strongest population-level analyses yet of how football, career length, and playing position influence the long-term risk of brain disease.
AI companies are creating "generative ghosts" of deceased loved ones
Oxford Brain Diagnostics Advances Vision for Measuring Brain Health and Neurodegenerative Disease with Five New Studies at AAIC 2026
New findings demonstrate the potential of OBD's MRI-based Cortical Disarray Measurement (CDM®) technology to support patient identification, disease characterization, treatment monitoring, and therapeutic development across Alzheimer's disease OXFORD, United Kingdom, July 13, 2026 (GLOBE NEWSWIRE) -- Oxford Brain Diagnostics (OBD), a leader in MRI-based measurement of brain health and neurodegenerative disease, today announced the presentation of five new studies at the Alzheimer's Association I
Columbia scientists discover surprising link between serotonin and heart valve disease
Scientists have uncovered evidence that serotonin, the chemical best known for regulating mood, may also speed the progression of a common heart valve disease in some people. The research suggests that patients with degenerative mitral regurgitation who take SSRI antidepressants and carry a specific genetic variant may develop severe valve damage sooner, potentially requiring surgery at a younger age.
UConn Professor Sir Cato T. Laurencin Has Audience with Pope Leo XIV
Sir Cato T. Laurencin presented the Cato T. Laurencin Regenerative Engineering Founder’s Award Medal to Pope Leo XIV at the Vatican.
New study finds NFL players nearly four times more likely to die of neurodegenerative disease
"A fourfold increase in dementia rates from a presumed environmental cause is immense."
Explosive Growth Anticipated: Generative AI in Media and Entertainment Market Set to Surpass $8 Billion by 2030
Key market opportunities in generative AI for media and entertainment include integration with VR/AR, cloud-based AI services, real-time personalization, and growth in interactive gaming. Trends involve AI-powered content creation, personalization, and storytelling. The market seeks innovation to enhance user experiences and content efficiency. Generative AI in Media and Entertainment Market Generative AI in Media and Entertainment Market Dublin, July 07, 2026 (GLOBE NEWSWIRE) -- The "Generative
Could Your AI Content Land Your Business In Court?
Generative AI is helping businesses create content faster, but it is also creating new copyright and intellectual property risks that many companies do not understand.
Pre-Deployment Simulations Are Vital To Developing Generative AI That Can Best Provide Mental Health Advice
Pre-deployment simulation is a new technique from OpenAI. It can be used to better shape AI-led mental health guidance. An AI Insider analysis and scoop.
Danny Glover Reveals Alzheimer’s Diagnosis on TODAY: EXCLUSIVE
The 79-year-old “Lethal Weapon” star shared with Lester Holt that he was diagnosed with the progressive neurodegenerative disease a few years ago.
Generative AI chest X-ray models offer new approach to radiology reporting and quality improvement
While the technology remains investigational in many practices, researchers say it has the potential to improve diagnostic accuracy, streamline AI development and strengthen radiology quality assurance.
Entertainment Firms Face AI Copyright Uncertainty
Editorial analysis: For AI and ML practitioners, unclear copyright rules raise the legal risk and compliance cost of using generative models in production content pipelines. According to The Economic Times, Indian entertainment firms are investing heavily in AI for content creation, but current copyright law, which is tied to human creativity, may not clearly protect AI-assisted or AI-generated works. The Economic Times reports lawyers warn that, without specific legislation or case law, such works face risks of duplication and misuse, complicating licensing, attribution, and monetization for studios and creators. The article highlights that creators and rights holders in India currently have limited legal recourse under existing statutes, per The Economic Times.
How to use AI in your dating life responsibly and effectively
Whether you love or loathe generative AI chatbots, they’re becoming increasingly involved in the business of romance.
Science Can Fully Explain Consciousness? By 326 Theories…
It’s supposed to be a given that machines or brain organoids might be conscious despite not knowing what that is or how it works — but preborn children can’t be…
OHSU advances massive leap in medical science with cellular therapies
Patients are benefiting from CAR-T to treat neurodegenerative diseases, cancer, lupus and other autoimmune conditions.
Generative artificial intelligence creates delicious, sustainable, and nutritious burgers
npj Science of Food - Generative artificial intelligence creates delicious, sustainable, and nutritious burgers
President Trump Signs Executive Order Advancing Regenerative Agriculture as Part of Make America Healthy Again Agenda
President Trump Signs Executive Order Advancing Regenerative Agriculture as Part of Make America Healthy Again Agenda
FDA's breakthrough pipeline fills up with generative AI devices
In this edition of STAT Health Tech: FDA drops enforcement against Whoop, more AI devices get FDA 'breakthrough' label, and more.
AI for Small Business: The Quick-Win Approach
Voice of Business Blog Guest post from Greater Rochester Chamber member IT Insights of Rochester In 2025, 58% of small businesses report using generative AI tools, up from 40% in 2024 and 23% in 2023, according to the U.S. Chamber of Commerce. Adoption has grown quickly in just a few years and is now delivering…
Regenerative Agriculture and Population Health
Regenerative agriculture can enhance food quality and reduce harmful exposures through improved soil biology, biodiversity, and ecosystem health, yielding downstream benefits for agriculture, food systems, and human health. It may improve profitability through greater land resilience and lower input costs and may deliver benefits to farms, farmers, communities, and the broader environment. More research is warranted to understand the full range of potential health benefits of regenerative agriculture.
Why healthcare CIOs must fix their foundations before scaling AI
Healthcare leaders are focused on generative AI innovation, but the organizations most likely to succeed may be those investing first in architecture, governance and interoperability.
Nvidia Unveils Science Reasoning AI Suite with BioNeMo Agent Toolkit
The toolkit has applications across generative chemistry, genomic analysis, protein design, and biomarker discovery.
U.S. Bank Survey Finds Gen Z Small Business Owners Are Making Bigger Bets to Drive Growth
Gen Z Momentum: Gen Z owners are nearly twice as likely as Gen X and Baby Boomer owners to make bigger bets on growth, while also reporting stronger business performance Growth Continues, But Less Widespread: Many small businesses are still expanding, though fewer are doing so as economic pressures persist AI Adoption Gap: Businesses adopting generative AI and digital tools are more likely to be in a growth phase U.S. Bank released its fourth annual Small Business Perspective survey report today, highlighting how small business owners are navigating a more constrained environment, and how a new generation is building businesses differently. The nationwide survey of 1,000 small business owners, including an oversample of 200 Gen Z owners, shows that while many small businesses are still expanding, fewer are growing than a year ago amid ongoing economic pressures and rising costs. U.S. small businesses are still seeking to grow, despite economic concerns. “Growth may not be as
Take-Two's ex-AI boss says the generative AI hype is "poisoning the well" and could ward off all use of traditional AI in the future
According to the former head of AI at Take-Two, the hype around generative AI is not healthy, but he doesn't want you to write off AI entirely.
AI lab Midjourney investing over $74M to launch whole-body ultrasound screening business
Radiologists, meanwhile, took to social media to criticize the endeavor, noting that the generative AI company lacks clinical evidence to back its marketing claims.
‘If there’s no fertility, there are no farms’: Why big food is exploring regenerative agriculture
Food and drink companies are getting involved in regenerative agriculture, which aims to improve soil and cut carbon emissions. But not all experts are convinced of the benefits
Vampire Survivors studio Poncle is "reviewing" its Fortnite collaboration after the State of Unreal show and Epic's focus on generative AI
Poncle is seemingly reconsidering its Vampire Survivors Fortnite collaboration after seeing how Epic is using generative AI to help design assets.
Google bets on Gemini to reinvent the smart home speaker
Google is betting generative AI can breathe new life into the smart speaker. The company's new $99.99 Google Home Speaker replaces the rigid commands of the Google Assistant era with more conversational Gemini interactions.
Epic Games Is Using Generative AI In Fortnite To Make Mistakes
1,000 people were laid off from Epic Games three months ago
More than a thousand games in Steam Next Fest feature a generative AI disclosure of some kind
SteamDB offers insight into the true scope of AI's use in the latest PC store promotion.
South Korea’s Floundering Movie Business Turns to AI for Help
Two films built largely with generative AI tools are on view in South Korean theaters
Apple’s Camera Chief Thinks AI Can Give You Superpowers
The generative features in iOS 27’s new Photos app will add fake pixels to some of your shots, but Apple’s Jon McCormack says the company isn’t using AI “for the sake of AI.”
Why better AI doesn't always mean better outcomes
Users who adapt their prompting strategies can capture dramatically more value when generative AI tools improve, especially on tasks that require precision and control.
LifeNet Health Expands Its Global Regenerative Medicine Platform, Transitioning HCM Medical into LifeNet Health Advanced Xeno-Therapeutics
/PRNewswire/ -- LifeNet Health announced today that HCM Medical has transitioned into LifeNet Health Advanced Xeno‑Therapeutics ("LifeNet Health AXT"), marking...
World Ocean Day: From risk to prosperity
The ocean is central to life on Earth. As World Ocean Day is marked on 8 June, a new Forum report says a regenerative blue economy can protect ecosystems and livelihoods.
Crazy Taxi World Tour officially announced, Sega immediately upsets everyone by announcing it used generative AI
A rollercoaster day for one of Sega's most anticipated titles.
Sega Confirms And Responds To Generative AI Content In New Crazy Taxi Game
"Generative AI was used to support our teams during the development of background assets for 'Crazy Taxi: World Tour'," Sega confirms.
Building Structured Generative AI Evaluation at Enterprise Scale
How Oracle built Veritas, a scalable GenAI evaluation framework for structured benchmarking, reusable pipelines, reproducible testing, and enterprise AI evaluation workflows.
This scientist learned he has a devastating brain disease. He set out to cure it.
Jeff Carroll is part of a new effort to accelerate the development of targeted cures for a handful of neurodegenerative diseases.
Vanderbilt ALS Research Center hosts second Reporting the Research event
Attendees gathered at Fat Bottom Brewing Company on May 20 for the event to raise awareness about the neurodegenerative disorder, amyotrophic lateral sclerosis (ALS).
Infringement risks of generative AI in entertainment industry (Part 1)
From digital identity licensing to training data provenance, artificial intelligence generative content (AIGC) is pushing ownership, liability and due diligence to the forefront of business decision-making
Scientists Think They’ve Discovered How Humans Could Recover Lost Vision
Mammals aren’t known for the ocular regenerative powers, but a study shows that nature has a few tricks up its sleeve.
Scientists Think They’ve Discovered How Humans Could Recover Lost Vision
Mammals aren’t known for the ocular regenerative powers, but a study shows that nature has a few tricks up its sleeve.
Google I/O 2026: tech giant launches autonomous AI era, transforming search at cost to core business
Google unveils Gemini agents and a generative search overhaul in a direct push against OpenAI and Perplexity, risking ad revenue, publisher ties, privacy and margins as it tries to preserve its internet dominance
Epic Games Removes Porsche "Concept Image" That Sure Looks Like AI
This week, Epic Games published a concept-art image showing what appeared to be a Porsche vehicle dropping into Fortnite. However, it was quickly removed after players theorized it had been made with the use of generative AI. And while Epic has since offered an explanation for what happened, something still seems … off. Almost immediately...
Three Monarchs Earn Prestigious National Science Foundation Graduate Research Fellowships
By Robyn Sidersky Three recent Old Dominion University graduates are preparing to tackle some of society’s biggest scientific challenges, from developing sustainable pharmaceuticals to restoring wetlands and advancing regenerative medicine, with help from one of the nation’s most prestigious graduate fellowships.
AI-generated images are making it impossible to distinguish truth from fiction. We need laws and AI watermarks to protect our shared reality.
Generative AI is destroying the baseline assumption that photographs bear some causal connection to reality. That's bad news for democracy.
AMD Announces Ryzen AI Halo, the Compact DGX Spark and Mac Mini Rival
AMD today released Ryzen AI Halo, a compact AI development computer designed by AMD to serve as a nearly full-stack machine for AI development, inferencing, and generative AI content creation. Ryzen AI Halo is designed to strike a unique balance of price, performance, and capabilities that rival App...
YouTube overhaul broadens search with ‘Ask YouTube,’ adds Gemini Omni to recreate someone else’s Shorts
Gemini Omni, the latest generative model announced at Google I/O, is coming to YouTube within the Shorts Remix tool. It...
Gemini Omni, the ‘create anything’ model, starts today with lifelike video
Google has unveiled Gemini Omni, a new family of generative models designed to “create anything,” and you can use it...
Scientists reversed memory loss by recharging the brain’s tiny engines
Researchers have shown for the first time that malfunctioning mitochondria — the cell’s energy generators — may directly cause cognitive decline in neurodegenerative diseases. By creating a new tool that temporarily boosts mitochondrial activity in the brain, scientists restored memory performance in mouse models of dementia. The discovery hints that energy failure inside neurons could happen before brain cells die, potentially offering a new target for future Alzheimer’s treatments.
A grad student’s wild idea sparks a major aging breakthrough
A casual conversation between graduate students helped spark a breakthrough in aging research at Mayo Clinic. Researchers discovered that tiny synthetic DNA molecules called aptamers can selectively attach to senescent “zombie cells,” which are linked to aging, cancer, and neurodegenerative disease. The method could eventually help scientists identify and target these cells in living tissue with far greater precision.
New Harvard Business School Research Takes Aim At Some Of AI’s Biggest Assumptions
From market research to investor behavior, HBS faculty are testing what generative AI actually changes (and what it doesn’t).
PlayStation is partnering with Bandai Namco for a "collaborative initiative" focused on generative AI
Sony and Bandai Namco have announced a "collaborative initiative" focused on AI and the latest technologies can aid game development.
PS5 sales expected to decline due to generative AI memory drought and rising prices
Sony has released its financial results for the past fiscal year. Inside, it predicts a decrease in PS5 hardware sales in the next 12 months.
How AI is transforming entertainment
AI is reshaping Hollywood, from scriptwriting to acting, with generative AI models creating new opportunities and challenges for the entertainment industry.
Small Business AI Measure Approved » CBIA
SB 417 authorizes a study of a Small Business Artificial Intelligence Grant Fund, an important and forward looking step.
Streamers And Voice Actors Refuse To Work With Popular New Gacha Game Over Gen AI Concerns
Just days after launch, popular streamers and voice actors that worked on the game are distancing themselves from Neverness to Everness over concerns that it was created with generative AI.
Translating biodiversity into chemical diversity
Nature Computational Science - DeepSeMS, a transformer-based generative framework, translates biodiversity into chemical diversity by predicting microbial secondary metabolite structures directly...
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
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