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AI-powered robots can be tricked into slicing off fingers
One secret code word is all it takes.
Business and politics: how Italy drives the transatlantic trade in the U.S.
The 51st anniversary gala of the National Italian American Foundation (NIAF) highlighted the importance of political and economic cooperation between Italy and the United States. The event showcased the breadth of Italian economic interests in the US, including defense, energy, and consumer goods, while emphasizing the significance of business diplomacy in sustaining the relationship. The gala also featured discussions on Italy-US relations and recognized the contributions of individuals and organizations to the transatlantic partnership
Can this Democrat crack the code for universal healthcare?
Amanda Janoo is running for governor of Vermont. Her health reform proposal has a twist.
Linus Torvalds "Did What I Preach", Used AI To Make Code Decipherable & Uncovered More Bugs
After using Claude Code to draft code to help make a fundamental improvement to the Linux kernel, Linux creator Linus Torvalds continued using AI this weekend and talking up its benefits
Lightsprint secures funding to enhance AI coding for non-techies
Lightsprint, a San Francisco startup, raises $6.1M to help non-engineers like designers and product managers edit code using AI tools.
Fox Entertainment, Kevin Hart's Hartbeat Sign Vertical Drama Deal
Fox takes a first-look option to develop original vertical series made under the Codeblack, Essence and Revolt brands into future film and television projects.
Google makes it easier to launch your vibe-coded apps
Google will eventually allow you to share your vibe-coded apps, too.
Streaming deal: Get 2 months of Paramount+ Premium for $0.99/month
Lock in two months of the ad-free Premium tier for less than $2 total with this code.
New CPT codes are expanding reimbursement for AI-powered CCTA tools
New codes for these technologies have made a world of difference for clinicians. Reimbursement for the use of AI is an area where cardiology is far ahead of most other healthcare specialties.
Deutsche Telekom Leverages AudioCodes VoiceAI Connect to Bring AI-Powered Services to Mobile Business Customers
/PRNewswire/ -- Highlights Deutsche Telekom is leveraging AudioCodes VoiceAI Connect for Voice AI Notes Mobile, its new service that automatically summarizes...
Vibe-Coded Browser Ports Of Games Work Perfectly, Unfortunately
Call of Duty: Black Ops, Halo: CE, Grand Theft Auto: Vice City, Skate 3 and many more titles have been decompiled and ported to web browsers overnight
Valve Employee Seemingly Slips Up And Says Rumored Half-Life 3 Codename On Stage
Wait a minute, what's HLX?
Google could soon solve Pixel's biggest face unlock flaw
Android 17 QPR3 beta code hints that Google could soon solve Pixel's biggest face unlock flaw in low light with Face Active Illumination.
Physical PS3 Discs Can Now Emulate Games On PS5s Too
Coder Swordpdf has released a video showing a physical PS3 copy of Gran Turismo 5 being used to boot the game on PS5s, only three days after dropping the PS5SX2 emulator
Apple invites developers to submit iPhone Duo-ready apps to the App Store
With the iPhone Duo launch fast approaching, Apple is now accepting submissions of iPhone Duo-optimized apps and games built with Xcode 27.1.
Ubisoft plans cuts at German studios, adding to wave of workforce reductions
Ubisoft is planning to reduce its workforce in Germany, where it operates a trio of studios, by about 100 workers, Game File has learned. The company wants to offer employees buyouts to, should enough people accept, avoid having to lay anyone off. “In Germany, we initiated discussions with the Works Council last week regarding a proposed voluntary departure plan across Ubisoft Dusseldorf, Ubisoft Berlin & Ubisoft Mainz,” a company rep told Game File. A “works council” is a union-like group representing employees. “The voluntary plan is the primary measure being proposed to support the intended organizational changes,” the Ubisoft rep added. The company declined to confirm the scale of the potential headcount cut. Of the impacted studios, Mainz might be the best known to the public. It leads development of the Anno series and shipped the well-reviewed strategy game Anno 117: Pax Romana in November 2025. Berlin and Dusseldorf operate as support studios within Ubisoft’s creative network. Berlin recently supported the development of Rainbow Six Siege and the Rayman Legends Retold remake. Dusseldorf also contributed to those projects, as well as The Settlers and Ubisoft-branded escape rooms. Dusseldorf is the biggest of the three studios, with some 400+ workers, compared to just over 100 at the other two, a source familiar with the reductions and the teams told Game File. More than half of these new reductions of about 100 people are expected to happen at Dusseldorf. The planned cuts were announced at a town hall for the German studios on Tuesday of last week. In an email follow-up, the studio group’s managing director, Benedikt Grindel, said the cuts were intended to “best position our German studios for the future... with a clearer focus on their role, capabilities and organizational setup needed for the work ahead.” The email was an echo of the past. In January 2025, Grindel had emailed the Ubisoft developers in his region (or studio “zone”) to explain that a round of 185 cuts at the time, including about 65 at Dusseldorf, were “essential to improve our operational efficiency and ensure the long-term sustainability of our studios, the zone and the company.” A half-decade of continued job cuts Ubisoft has been aggressively cutting its headcount for years. At the end of September 2022, it had 20,729 workers. By the end of March 2026, that total was down to 16,590. Studio management is trying to trim costs as it grapples with a changing industry and a drought of releases, let alone hits. The company announced earlier this year that it had reduced its costs since 2022 by “nearly €325 million” ($362m) and planned to lower them through 2028 by another €180 million ($200m). In June the company said it was closing down its Winnipeg and Belgrade studios and cutting roles in its Barcelona team. Even commercial and creative success hasn’t spared studios from this ongoing company-wide contraction. As Game File was nailing down details around the proposed cuts in Germany, Ubisoft management was informing workers of cuts in its Singapore studio, which shipped a hit remake of Assassin’s Creed IV: Black Flag this past July. Some 70 positions in Singapore are being eliminated “to align the studio with upcoming production needs,” per a company rep’s statement to Game File. In early 2024, a large team in the Singapore studio launched the multiplayer pirate game Skull & Bones. It performed poorly but has been supported with regular content updates since. Many of Ubisoft’s studios around the world are heavily subsidized via regional grants and tax breaks. Singapore had been among them for years, but received no such local assistance in the 12 months ending this past March. News of the Singapore cuts broke today alongside word that Ubisoft is also proposing the closure of RedLynx, pending negotiations with officials. The Finnish studio behind the motorbike series Trials was founded in 2000 and sold to Ubisoft in 2011. As reported by VGC (and corroborated by Game File), Ubisoft management told employees it could not come up with a new, sustainable assignment for RedLynx. The 2025 workforce at Ubisoft Dusseldorf were straight-up cuts. This time, Ubisoft is hoping the reductions at its trio of German studios will largely come from workers taking a payout to leave. The company offered such voluntary dismissals at its Massive Entertainment studio (The Division) a year ago. For the German studios’ buyouts this time around, Ubisoft and the Works Council had discussed a formula that’d pay a worker’s monthly salary multiplied by 1.5 and by the number of years they’ve worked at the company, according to Game File sources. The formula is still subject to negotiations with the Works Council and has not yet been part of an official offer to workers. It could be adjusted up or down, and it could be supplemented with additional bonuses. Asked about the floated payout formula, a Ubisoft rep told Game File, “The terms of a potential voluntary departure program remain subject to negotiation with employee representatives. No final agreement has been reached, and we won’t comment on specific proposals while discussions are ongoing.” Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Epic’s AI adventures Epic Games (Fortnite, the Unreal engine) is all-in on using AI to try to transform the way it makes video games and game-making tools. It’s leaders appear to be undeterred by any resistance among gamers and some game developers around generative AI—and instead emboldened by advances, particularly in AI-assisted programming. A recap of the last three days: On Monday, Bloomberg reported that Epic management told workers last week that development of an upcoming game combining Star Wars and Marvel characters would be “AI first.” Employees would be expected to use AI models such as Claude to code the game. A manager told Epic’s developers there would be “[n]o more hand-written code” and that art for the game would be “generated with full AI workflows,” per the outlet. Just ahead of that story running, Epic founder Tim Sweeney tweeted: “We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration. The aim isn’t to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.” In a follow-up, Sweeney predicted that most game development processes would be at least three times faster a year from now than they were in January 2026, thanks to AI. To a person on X who told him he was failing to read the room, Sweeney said: “Much of the room wants it to be 2016 again, but it’s not. Our job, as the provider of tools and technology to much of the industry, is to design for the present that is and the future that will soon be.” On Wednesday, Epic announced it was releasing a faster launcher for its Epic Games Store marketplace. It did so by stating in a blog post as clear as could be that the launcher is an AI-enabled, vibe-coded project: Programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher that’s way faster and more responsive than the current one, and has a new look. Programming is hard? That was unexpected phrasing from a company founded by a legendarily great programmer. Back in 2011, Sweeney told me that he’d picked up programming quickly as a kid and rejoiced at the power it gave him. “I could look at any program that anybody else had written and, with enough effort, build something cooler.” Item 3: The Xbox Labs experiment (and one of the people behind it) Microsoft’s Xbox division, which is flooding the zone with announcements lately, yesterday revealed a new internal tech-tinkering team called Xbox Labs. In the words of Xbox boss Asha Sharma Labs is “a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience.” Conventional wisdom coming out of the announcement is that Labs is a team that’ll focus on ideas driven by generative AI. In her announcement, Sharma cited some of the dizzying achievements in tech and gaming over the past month as AI agents and other AI tools have been deployed to swiftly figure out how popular games work, then rebuild them and mix them up. She mentioned seeing ”games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support” and said “[p]erhaps more surprisingly, we’ve seen many of the biggest games in the world have been remixed into the source code of another.” (Minecraft plus Elden Ring, for example, or Fortnite + Super Monkey Ball + Overwatch + Diablo + others.) Sharma also cited the work of Windows PC games being ported to run in browsers, a seeming reference to a recent AI-assisted fan port of Halo. Or perhaps Call of Duty or GTA. Sharma didn’t use the specific term “AI” in her memo, but she came close, citing AI “agents” and their potential for game-making tools that Labs could help craft: I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We’ve spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. When I asked an Xbox rep if Labs was an AI-centric team, they said genAI was not the focus, describing it as having a broader mandate for using new tech in new ways in gaming. As an example, they pointed to Xbox’s recently launched disc-to-digital gaming usage rights program. Microsoft didn’t specifically name anyone involved full-time in Xbox Labs yesterday, but on social media and LinkedIn, I spotted Adrian Mato IDing himself as leading the creatio of tools at Labs and talking up the launch. Mato first caught my attention in late September, when he said on X that he was “starting to build a new team at Xbox focused on products and tools for how games get built and distributed as agentic tools become more capable.” At the time, he framed AI-based tools as a supplement to traditional game dev tools. “I don’t think we need to replace them,” he said. Since then, he’s publicly shown interest in AI and in games. He’s recently spent some of his X feed marveling at the power of AI agents and praising the lighting in the latest Gears of War. Following the Labs announcement yesterday, he enthused about the Xbox Labs’ stylish landing page. He wrote: “We built some fun tools to art-direct shaders in real time, experimented with interactive ASCII art, and sprinkled in lots of tiny details. “Move your mouse to leave a colorful trail that reveals the original footage, or interact with the video to trigger bursts of particles. “A lot of love went into making it all feel just right. “More to come”
Google Play adding ‘personal library’ to access your vibe-coded Android apps
Google today announced a slew of Play Store updates across vibe-coding, game discovery, social features, and more.
True Food Kitchen Initiates Voluntary Chapter 11 Proceedings to Position Business for Long-Term Success
True Food Kitchen (the "Company") today announced that it and certain affiliates have filed voluntary petitions for relief under Chapter 11 of the U.S. Bankruptcy Code in the U.S. Bankruptcy Court for the Southern District of Texas (the "Court").
Google lets you make personal Android apps for free now - with just prompts
It just got a whole lot easier to vibe code the exact Android app you need - no developer experience required.
Your Plex Server Could Be Mining Crypto for Hackers
Remote code execution is now available on non-updated Plex servers.
Linus Torvalds Working On A Hefty Linux Kernel Improvement With Claude Code
Linux creator Linus Torvalds has been known to use AI to help with kernel debugging and outside of the kernel tree has also done some vibe coding with Google's Antigravity
Spotify is cracking down on Family plans again, and the penalty can lock you out for a year
Spotify is rolling out in-person QR-code checks for some Premium Family members, with a seven-day deadline and a 12-month restriction for those who fail verification.
Dragon Quest Creator Yuji Horii Thinks AI Is Amazing As He No Longer Needs To Code Or Draw To Make A Game
The director has released his own Claude-driven adventure having spent months praising the technology
Google Play now supports private, vibe-coded apps built just for you
Google is making it easier to build and use personal Android apps created with AI, without having to make them available to everyone on the Play Store.
Before Computer Science Became a Boys’ Club, Margaret Hamilton Wrote the Code
The woman who helped put astronauts on the moon was a software engineer when the field was not prestigious or lucrative.
SAASTEPS Secures Key Patent Allowance and Launches CODEN.com
DENVER--(BUSINESS WIRE)--Oct 13, 2026--
Xbox Forms Labs Group for Vibe-Coded Game Ports
We're approaching a critical mass - is Xbox putting itself on the right side of history?
Epic throws shade at Steam, admits to vibe-coding the new Epic Games Launcher with AI "to be faster than the other guy"
Days after pushing an AI-first game development pipeline, Epic has vibe coded the Epic Games Launcher in an effort to outrun Steam.
New Steam Update Puts Startup Times Back Ahead of Epic's Vibe-Coded Launcher
Epic Games released a preview of its rebuilt, "vibe coded" Epic Games Launcher on October 14, and took a direct shot at Steam while at it. Epic's own chart shows the new launcher cold starting in 5.47 seconds against 10.07 seconds for Steam, which the company bills as 46% faster. That lead...
Nintendo Switch 2 Gets Its First Software-Only Jailbreak, With Help From OpenAI Codex
Sammy Hajhamid, a security researcher who goes by pepsipu online, has released ns2jb, a software-only jailbreak for the Nintendo Switch 2 that runs on the latest 23.0.1 firmware. To show it off, Hajhamid modded Mario Kart World, a Switch 2 exclusive, and also dropped Peter Griffin, Hatsune Miku,...
Valve Developer Mistakenly Mentions Rumored Half-Life 3 Codename
A Valve developer mistakenly slipped up and made mention of Half-Life 3's long rumored codename during a recent conference.
Following 'millions' of computations, a coder is convinced they've deciphered the mysterious plaque in Super Mario 64
Serious Computer Business
Maven’s Kate Ryder on using AI to help solve long-unanswered questions in women’s health-care
Maven CEO and founder Kate Ryder says AI has already dramatically lowered administrative costs and is writing all of the health benefits’ company’s code, but for patients, the greater promise of AI is in closing information gaps, a particularly frustrating issue women have always faced when seeking care.
Greenwood considers updates to development fees, property codes
Greenwood officials are working to update the city’s rules governing development, property maintenance and code enforcement, an effort Mayor Doug Kinslow said is needed after years without some regulations being...
Anthropic's Claude Science creates the first complete ultraviolet map of the sky
Astrophysicist Brice Ménard of Johns Hopkins University used Anthropic's Claude Science to map the entire sky in ultraviolet light for the first time. AI agents downloaded data from multiple space missions, calibrated it, and filled in gaps using inpainting. Predictions averaged about ten percent deviation from actual measurements. Ménard sees the project as an example of research that simply wouldn't have gotten done without AI.
BUSINESS UPDATE: All About Cannabis
SUNY Oswego’s cannabis studies prepares for growing business opportunities By Mary Beth Roach [caption id=attachment_11114 align=alignright width=383] Marthinus (Martin) Koen is associate professor of criminal justice and cannabis studies at SUNY Oswego. He and the chair of the SUNY Oswego’s Criminal Justice Department, Roger Guy, created the program.[/caption] As the cannabis industry in New York state continues to grow, so do the business opportunities. New York’s legal cannabis market is projected to hit $3 billion in annual sales this year and more than 600 licensed dispensaries are operating across the state, according to budpedia.com. It’s estimated that New York will add about 16,160 new cannabis jobs in 2026, according to the 2026 U.S. Cannabis Jobs Report. SUNY Oswego, realizing the potential, now offers two programs to acquaint both matriculated and non matriculated students with aspects of this multi-billion-dollar business. Its cannabis studies microcredential came out last year and a minor was introduced this fall. The microcredential allows traditional students to add electives to their degree. Students who are not enrolled in the college can sign up to take classes to learn more about the field, growing the crop and managing or opening a dispensary, according to Marthinus (Martin) Koen, associate professor of criminal justice and cannabis studies at SUNY Oswego. The classes are designed to give those who wish to pursue business opportunities in the field a much broader understanding of cannabis and a more overall perspective of the various aspects of running a business, such as supply chain management, customer service and best practices. “When you’re trying to market it, when you’re trying to make sales, you’re understanding will be a lot more vast and nuanced,” he said. “The last 10 years especially, the hard science on cannabis increased and we have a lot more nuanced understanding right now that hasn’t yet permeated the pop culture,” he added. Koen’s team is also hoping to develop an independent study class that will help somebody who wants to apply for a license. That the classes fill up quickly should come as no surprise. “I think there’s a lot of people who are excited about it because it’s a new industry,” he said and they see an opportunity to make some money. Matriculated students may look at it as fun to learn about and stack on top of their existing major or minor. According to the college’s website, students interested in a microcredential would take cannabis law and policy and cultivation of cannabis, along with two other electives. For the first elective they could select either the economics of cannabis or manufacturing, distribution, and logistics of cannabis; and the second elective would be either cannabis science, analysis, and well-being or cannabis and society. The idea for a microcredential in cannabis studies at SUNY Oswego began in 2023, Koen said, as SUNY statewide was advocating for these types of initiatives. Koen and the chair of the SUNY Oswego’s Criminal Justice Department, Roger Guy, began brainstorming on ideas. Catching their attention was the legalization of full recreational marijuana use in New York state in 2021 and the problem-riddled rollout of the state’s Office of Cannabis Management. Guy and Koen created a Criminal Justice Elective called CRJ 420, called cannabis and society, to see if there was any interest. It shouldn’t surprise anyone that there was interest —a lot of it. Further discussions led to the microcredential, cannabis studies, which incorporated science, business and anthropological perspectives, Koen said. They were allowed to create their own prefixes for the classes, such as CAN 310; CAN 320; and CAN 420. Yes, the 420 was intentional — it’s a slang term and symbol used to refer to cannabis consumption and counterculture — but it’s also meant to reflect that the course, being on the 400 level, is “very academically involved,” Koen explained. The term 420 was coined in 1971 by a group of California high school students as a secret code to meet at 4:20 p.m. at a campus landmark to search for an abandoned cannabis crop nearby. The phrase has evolved, to say the least. It is now associated with cannabis use worldwide. For more information, visit ww1.oswego.edu/academics/microcredentials/cannabis-studies.
Candidates for Austin City Council District 9 discuss affordability, public safety and homelessness
Current City Council member Zo Qadri will face off with four challengers on the ballot in November.
Kevin Hart's Hartbeat Inks Deal With Fox Entertainment For Vertical Content, Microdramas
Fox Entertainment and Hartbeat announced a multi-faceted partnership that leverages new, original vertical series as a development pipeline for film and television content. The partnership pairs Codeblack’s record of building film and television businesses for underserved audiences with Fox Entertainment’s studio operations, worldwide sales organization and growing vertical video ecosystem. It also extends vertical storytelling … Continue reading "Kevin Hart’s Hartbeat Inks Deal With Fox Entertainment For Vertical Content, Microdramas"
Brazil: Lessons from a Disaster
By Antonio Martins (Outras Palavras) Defeats become deeper and more prolonged when we misunderstand what caused them, avoid correcting course, and embrace “solutions” that only compound our mistakes. Lula’s government and the Brazilian left suffered a disaster in Sunday’s election. Contrary to every poll, the president finished the first round 2.2 million votes behind Flávio Bolsonaro—and, more significantly, 3.4 million votes below his total four years ago, when the machinery of the state was working against him and in favor of his opponent. His vote share declined in 98 percent of Brazil’s municipalities. The PL, the main party of the far right, elected 121 deputies and 28 senators, becoming the largest caucus in both houses of Congress. The parties aligned with the Centrão—Brazil’s bloc of transactional center-right parties—were somewhat diminished, but will still hold roughly 250 seats in the Chamber of Deputies and 35 in the Senate. That will make it easier to assemble the majorities needed to amend the Constitution or impeach Supreme Federal Court justices. If elected, Flávio Bolsonaro could appoint four members of the Court, substantially altering its internal balance of power. What produced these results? How can the far right be prevented from consolidating them into a prolonged political hegemony? And what is the essential change of direction the left now needs? Explaining the Disaster Across the commercial media and the exuberant chaos of digital platforms, interpretations are multiplying. Some focus on specific episodes: Lula’s absence from the Globo debate, his very close relationship with Alexandre de Moraes, or his emphasis on issues supposedly remote from most people’s everyday concerns, such as rare earth minerals. Among the more systemic interpretations, three seem especially questionable. One argues that the principal defeat was not the left’s, since its congressional representation declined only slightly. The decisive movement captured at the ballot box, according to this view, was a shift within the right itself—from the more moderate and transactional forces of the Centrão toward the more ideological and radicalized forces of the PL and Novo. A second interpretation holds that the nature of electoral and political processes has changed. The material interests and aspirations of society, it argues, no longer play the central role they once did; they have given way to forms of subjective self-identification that the left has yet to understand. And a third concludes that, because of these two developments, we should expect a political winter: a prolonged period in which the far right and the broader right dominate Brazilian political life. There are important elements in all three interpretations. The problem lies in what they deny or leave out: Lula’s third government was a small-bore government. It offered the majorities that elected it neither a clearly better life nor reasons to believe again in politics and its power to transform society. These failures flowed from two fatal accommodations, which I will examine below. As a result, the government suffered a slow but steady erosion of support. And, as has happened in so many Western countries, it gave the far right the opportunity to present itself as anti-system and to benefit from popular frustration and distress. The interpretation that emphasizes the migration of votes from the center-right and traditional right toward the far right has been advanced, among others, by the courageous journalist Leonardo Sakamoto. In his UOL column on Monday, October 5, he highlights the miserable behavior of the traditional conservative parties. Over the past four years, they repeatedly joined forces with the “neo”-fascists, helping to “normalize” them—a criticism that could equally be directed at almost the entire corporate media. Believing they could use the far right as a stepping stone, they instead ended up partly devoured by it. This was especially true in the Senate, where the PL’s gain of 13 senators and Novo’s gain of two came at the expense of the PSD, which lost nine; the MDB, which lost two; the PSDB, which lost two; and the PP, which lost one. Sakamoto’s observation is accurate and necessary, but it leaves uncomfortable questions unanswered. Why did the erosion of the Centrão benefit the far right rather than, for example, producing growth for the left—as has happened so many times before, both in Brazil and elsewhere? The answer is not difficult. Throughout its four years in office, Lula’s third government was almost invariably associated with the Centrão. Here lies its first accommodation: accepting the limits imposed by conservative institutions; avoiding, as much as possible, any attempt to strain those limits through popular pressure; and believing only in the modest changes that could be squeezed through openings in Congress. The failure of the campaign to end the six-day workweek is emblematic. Lula could have electrified the presidential race by pairing it with a popular campaign for passage of the measure. Instead, he chose to place his hopes in the hands of Senate president Rodrigo Alcolumbre. He generated no mass mobilization, did not force his opponents onto an uncomfortable defensive, and won no victory. In September 2025, the government squandered the greatest of its many opportunities to shake up conservative power in Congress. Popular opposition to the so-called Shielding Amendment—which, if approved, would have restricted criminal proceedings against members of Congress—brought crowds into the streets, mobilized primarily by artists and social movements. This opened the possibility for a broader political education: a campaign that could begin exposing the limits and dysfunctions of Brazil’s political system while putting Bolsonaro’s movement on the defensive for its predictable support of political privilege. The amendment was defeated. But the executive branch then backed away from the fight. It remained associated with an institutional world widely seen as corrupt, elitist, and indifferent to ordinary people’s struggles. In doing so, it forfeited its credibility as a vehicle for the protest vote. On Sunday, it reaped the bitter fruits. Are We Doomed? Taking a different approach from Sakamoto, the philosopher Moysés Pinto Neto and other writers have drawn attention, in their first analyses of October 4, to the fragmentation of the public sphere produced by Big Tech platforms. Through their algorithms, these platforms present each person with a different view of social reality. As a consequence, it becomes much harder to identify common material problems and demands—for example, the fight for labor rights or for a properly funded public health system. Voters no longer embrace such demands, these authors argue, because they no longer see themselves as part of a collective. Instead, they tend to value the identities assigned to them by neoliberal subjectivity—the role of the entrepreneur, for example. On this interpretation, the left’s possible error lies in clinging to outdated illusions. Moysés’s warning is highly relevant and resonates with arguments such as Naomi Klein and Astra Taylor’s “Apocalyptic Fascism and the Billionaires’ Bet.” Unlike a century ago, the far right no longer promises a radiant future. It concentrates instead on resentment—especially that of young men. “They belong to a generation that fears it may never own a home, but compensates with the pleasure it gets from constantly provoking progressives online. Convinced their future has been stolen, they share memes romanticizing historical authoritarian regimes,” the authors write. But Moysés seems to confuse this danger with inevitability. He fails to see that the left’s answer cannot be adaptation. On the contrary, it must strengthen the possibility of politics as collective action. Nor does he recognize that precisely such a reversal is already becoming possible in some of the most promising mobilizations of the twenty-first century: the election, at the end of 2025, of the young Muslim Zohran Mamdani as mayor of New York, on a platform centered on the intensely material fight for an affordable city; the Left Party’s victory in Berlin two weeks ago, built around the demand to expropriate private real-estate corporations; and the very recent wave of demonstrations in Spain—including an occupation of Madrid’s Puerta del Sol—in which tens of thousands of young people mobilized by the Tenants’ Union have demanded limits on rents. By putting itself in the straitjacket of the “fiscal framework” in the first months of 2022, Lula’s third government adopted the second fatal accommodation of its term. Faced with conservative institutions and a country devastated by four years of Bolsonaro, increased public investment was the government’s remaining weapon for offering a more dignified life to the majority and forging an anti-conservative pact with them. The same state that disburses 1 trillion reais a year to enrich a small class of rentiers could instead spend money to extend the Family Health Strategy to every Brazilian, at a cost of 30 billion reais; provide full-day public schooling and childcare to all adolescents and children—and, especially, relief to their mothers; achieve universal sanitation while cleaning up polluted urban rivers; multiply metro systems; begin transforming the urban peripheries; and undertake many other urgently needed projects. In April 2023, an article in Outras Palavras warned that the fiscal framework could “shrink the Lula government and preserve the forces that condemn the country to inequality and regression.” A year later, another article showed that restraints on public spending were strangling policies vital to ordinary people and undermining the president’s popularity. In November 2024 came a reality check, in the form of the government’s humiliating defeat in the municipal elections. Even then, the fiscal lock was neither removed nor loosened. On the contrary: throughout the government’s four years, fiscal restraint remained central to its political narrative. The administration proudly proclaimed that it had “put the state’s accounts in order,” without grasping either how misleading that phrase was—given the payment of 1 trillion reais in interest—or how badly the message was hurting it politically. Lula finally woke up in September 2026. The increase in Bolsa Família benefits, after four years of being frozen; the announcement that anti-obesity drugs would be offered through Brazil’s public health system; and the ban on online betting showed that the state has the power to act decisively on behalf of the majority when those in government are willing to confront obstacles. The huge marches that closed the campaign in Fortaleza, Salvador, Rio de Janeiro, and São Paulo on the eve of October 4 showed how such initiatives can mobilize activists and the broader public. But it was too late—and too little to change the outcome of the first round. History has not ended The possibility of a turnaround in the three weeks leading up to November 25 cannot be ruled out. It will not be simple or easy. Lula must not only make up a deficit of 2.2 million votes; he must also offset the movement of voters who backed other right-wing candidates in the first round, most of whom are likely to move toward Flávio Bolsonaro. Pulling that off will require a broad, grassroots effort to win over voters, potentially reinforced by new initiatives from Lula. The coming hours and days will be decisive. If Bolsonaro’s movement also wins the presidency, the result will create a high-risk situation for Brazilian sovereignty and democracy. The enormous challenges posed by such an outcome would require the left to reexamine, in depth and with a genuine willingness to engage in self-criticism, its political projects—or its lack of them—and its practices. But would that mean we are condemned to the long winter of far-right hegemony that some analyses are beginning to forecast? It is far too early to say, suggests a recent text by Álvaro García Linera, the thinker who served as vice president of Bolivia under Evo Morales. His central hypothesis is that this political current will prove short-lived. At a moment when the entire world is once again talking about sovereignty and protecting national economies, the far right offers a stale, recolonizing neoliberalism. Its submission to the United States is as blatant and pathetic as Flávio and Eduardo Bolsonaro’s overtures to Donald Trump. Its project amounts to something like every man for himself: greater inequality, capitalism without limits, devastation, and supremacism. Will it work? In the United States, just two years into his second term, Trump himself is reaching record levels of unpopularity and may be on the verge of losing Republican control of both the House and Senate in November. Every new beginning is difficult. Whatever the outcome of the second round, the defeats of October 4 show how profoundly the Brazilian left will have to rethink and rebuild. But just as it would be foolish to underestimate the seriousness of its mistakes, it would be equally foolish to conclude that rebuilding a political project is no longer possible. History has not ended. The times are moving faster than ever. Originally published in Portuguese by Outras Palavras. English translation by Eric Blanc; I’ve added the subtitles. More We can’t stop the far right at home or abroad without a revitalized labor movement, which is yet another reason why you should become a sustaining supporter of the Emergency Workplace Organizing Committee (EWOC) — one of US labor’s pivotal bright spots. Relatedly, Jacobin published a short piece of mine reflecting on a decade of Bernie Sanders inspiring a whole new generation of young worker organizers.
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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.
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Registration is open for high school winter sports
Registration is now officially open for high school winter sports for the City School District of Albany! Any student in grades 9-12 who is interested in trying out for boys' basketball, girls' basketball, bowling, cheerleading, boys' indoor track, girls' indoor track, spirit team, boys' swimming and diving, boys' wrestling and girls' wrestling is invited to register via Final Forms. Important: please note that registration for winter sports ends on Friday, Nov. 13. Practices and tryouts for winter sports begin on Monday, Nov. 16. FINAL FORMS Each season, the following must be done prior to the first day of tryouts and practices: A parent or guardian must initiate the registration process for their student-athlete in Final Forms, filling out the required forms such as Interval Sports Health History and the Athletic Consent Form. The student-athlete must sign and complete their required forms. A reminder that all students who would like to play an interscholastic sport need to have a current physical conducted within a year on file. PHYSICALS A physical conducted within the last 12 months is mandatory for any student interested in trying out for an athletic team and must be uploaded into the Final Forms platform. Families are encouraged to get a completed physical from their child's physician. If you are unable to get a physical from your child's physician, you can schedule a free physical with Whitney Young's school-based health center by calling (518) 573-2556. Additionally, the district physician will also be available to facilitate sports physicals at Albany High in room 4253 on the following dates: Thursday, Nov. 12 from 10:30 a.m.-2:30 p.m. Friday, Nov. 13 from 10:30 a.m.-2:30 p.m. Sports physicals on Nov. 12 and 13 are free and no appointment is necessary. ACADEMIC ELIGIBILITY REQUIREMENTS Please note that students must have a good attendance record and be in good standing academically to be eligible to participate in an athletic team. Eligibility is determined based on quarterly grades, and interim progress reports will serve as an important academic checkpoint for all student‑athletes. For additional details about academic eligibility, please see our Athletic Code of Conduct. For our winter teams, academic eligibility to start the season will be based on final first-quarter grades. The first marking period ends Nov. 13. Albany High offers free tutoring facilitated by Albany High teachers Monday-Thursday from 3:30-5 p.m. for students who need extra help with their academics. See this flyer for additional details. IMPORTANT DATES Seniors, please mark your calendars for Senior Media Day for winter sports, which will take place on Monday, Nov. 30. All student-athletes playing winter sports will also participate in our winter sports picture days, which will take place Tuesday, Dec. 15–Thursday, Dec. 18. Specific dates and times for each team will be shared once rosters are finalized. OPEN GYM SESSIONS Student-athletes are encouraged to check out our open gym sessions as they prepare for upcoming sports seasons. We’re looking forward to a rewarding winter sports season this year! If you have any questions, please contact the Athletic Department at (518) 475-6310. Go Falcons!
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Oracle AI Agent Studio for Industry Applications Helps Accelerate Business Outcomes
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Gears of War: E-Day sells 230K copies
Gears of War: E-Day has sold 230K copies since its advance-access launch on October 1 and full release on October 6. Steam accounts for 168K of those, with Xbox (console and PC) selling 62K. But there’s more to this story, as Xbox makes up the bulk of revenue. E-Day is the best-reviewed Gears game in nearly two decades (and the best one ever made, in my opinion). The Coalition has made a banger here (it’s currently in my top 10 of the year). Despite E-Day’s undeniable quality, this is a soft result. And it’s down to the business model, really. E-Day has made $37M so far, thanks to the Premium upgrade On Xbox, Game Pass is cannibalising much of the premium revenue. Our estimates show that 1.7M folks accessed E-Day via their subscription rather than a copy. But Xbox is having it both ways – or having it halfway, at least – via its Premium Edition Game Pass upgrade. Game Pass subscribers could pay $30 (or their local equivalent) for up to five days of early access starting October 1. Our estimates show that of the 1.7M who accessed E-Day through Game Pass, 722K paid for the upgrade. Between the review embargo lifting on October 1 and the full release, E-Day managed to shift another 250K early-access upgrades – no doubt helped by the campaign’s rave reviews. So despite selling far fewer copies on Steam, Xbox accounts for almost three-quarters of the revenue (roughly $26M of the $37M, versus about $11M on Steam). So “230K copies” undersells the paying audience. Including the 722K upgrades, nearly 950K people actually paid something for E-Day. The $30 upgrade is a halfstep from cannibalisation, but will Xbox go all the way? While E-Day is a sublime game, these are soft numbers for a flagship when Xbox badly needs revenue wins. E-Day sold 62K copies on Xbox against 722K Premium upgrades, so for every one copy sold on Xbox, nearly 12 Game Pass upgrades were sold. The $70 premium SKU is – functionally – dead on Xbox. Normally you can’t see what a Game Pass player would have paid, because the game’s just there in the subscription. But the $30 early-access upgrade estimate shows that 722K people demonstrated they’ll spend real money on this game. In a world without day-one Game Pass, many of these folks would have bought E-Day at $70. They paid $30 for five days early access to something they don’t own. Xbox is, in effect, charging its most valuable customers the least, based on a hangover from a tried-and-exhausted strategy from a previous administration. Those 722K willing-to-pay players generated about $21.7M via the upgrade. If three quarters of this group – mostly US and European audiences – bought E-Day outright, that’s nearly $40M. Of course, Game Pass does bring in meaningful recurring revenue, and E-Day is adding value for hundreds of thousands of subscribers. However, Game Pass is no longer growing, so Xbox is at a crossroads. Xbox is reportedly looking to do a Netflix and bolt on an ad-supported tier to pad it further. But that will just set a new floor, and leadership keeps telling us the priority now is revenue growth, which is subscriber-speak for ARPU. Xbox has already pulled Call of Duty from day-one Game Pass after day-one inclusion hammered its sales, with new CoD titles now arriving on the service around a year late. We know that some Microsoft executives believe the service devalues games outright, and rumours (which Microsoft has dismissed so far, to be fair) suggest that day-one releases could be taken off Game Pass. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe When a game this well-reviewed does this softly on its home platform, the model – not the game – gets brought into question. What else E-Day’s early adopters have played (including this month so far) Looking at E-Day‘s players on Xbox, most have played the franchise before (86% have played Gears 5, 76% Gears 4), and every game on the crossover list is either a shooter or a title from an Xbox-owned studio (though Game Pass is inflating those numbers, of course, more on that later): As for what else Xbox’s E-Day players have played this month, the top three are Fortnite (16%), Roblox (7%), and Call of Duty (6%). Another 5% played Minecraft Dungeons II, which is also on Game Pass and launched a couple of days before Gears‘ advance-access date. Many Game Pass players are happy to check out most big new additions. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Over on Steam, the top crossover games are also mostly shooters (slightly more PC-coded ones), including Space Marine 2, which was itself heavily inspired by Gears: Looking at what E-Day‘s Steam players are into this month shows who they are – as subscriptions don’t skew the data. The top three are Wardogs (13%), Deadlock (12%), and CS2 (10%), so you’ve got the restless shooter crowd checking out the new hotness. A little further down are Helldivers 2 and Space Marine 2, your co-op PVE shooter players who’ll feel right at home in Horde mode. Game Pass is skewing the playtime distribution on Xbox Looking at the playtime distribution in our platform, E-Day players on Steam are – relatively speaking – playing for longer: 54% of E-Day players on Xbox have played for five hours or less (versus 32% on Steam) 19% of Xbox players played for over 15 hours (versus 33% on Steam) 14% of Xbox players played for over 20 hours (22% on Steam) The absolute number of people playing for over 15, 20, and 50 hours is, of course, bigger on Xbox, thanks to the sheer volume of folks who came in through Game Pass (upgraders included). None of that is cause for alarm. Game Pass is the reason Xbox playtime skews lower, as when a game is free to try, people try it and bounce without putting in even an hour (17% under an hour on Xbox versus 6% on Steam). Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe The subscription brings in tourists alongside the committed, dragging down the average even when the game is excellent (but also perhaps winning over the uninitiated). It’s standard across every subscription-included title, on PS Plus too. Forza Horizon 6, for instance, had 11% of its Xbox players bounce under an hour, versus just 2% on Steam. So, Xbox’s crossroads So there we have it. Gears of War: E-Day is an incredible game whose revenues have been stifled by subscription inclusion and exclusivity. It’s the best-reviewed entry in the series in fifteen-odd years, but it still turned into one of the year’s softer flagship launches, not because players didn’t want it, but because Xbox’s own storefront gave its most willing buyers a reason not to pay. Which leaves Xbox at a crossroads. Will it keep making Gears games when the financial returns are this thin and the margins this low? And if it does, does the next one arrive off Game Pass at day one – the way CoD now does, or even on PlayStation? I think it should. Alright, back to E-Day for me! The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
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Gemini 4 Argon Arrives With Big Claims for AI Agents and Scientific Discovery
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I tried replacing Photoshop, Lightroom, and Acrobat with free vibe-coded alternatives, and they're surprisingly good
Got to give credit where credit's due
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Check your inbox: Google is quietly handing out Pixel 11 discount codes
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Google Quietly Sent Out 30% Off Pixel 11 Codes Today
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SACE’s $31 billion US portfolio underscores the strength of Italy-US business ties
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More on Radiacode 110
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There's a vibe-coded Adobe Creative Suite vibecoded clone, and it's pretty good
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Delegate work to ChatGPT agent
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