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Microsoft (MSFT) Is Building A Billion Dollar AI Business In China
Microsoft (NasdaqGS:MSFT) is building a large AI and cloud business in China, supplying OpenAI models through Azure to major local technology companies. ByteDance is reported to spend over US$1b annually on Microsoft AI and cloud services, with Ant Group, Meituan, and Tencent also using Microsoft models. Microsoft has emerged as a key provider of OpenAI technology in China at a time when several US competitors are not active in the region. For investors watching Microsoft, this growing AI...
OpenAI's health care threat is getting real
Generalized LLMs outperform specialized models, a new study finds.
OpenAI's Karan Singhal on how he's driving ChatGPT health advancements
Researcher Karan Singhal drives OpenAI's goal to elevate ChatGPT's health advice, reaching millions of users weekly for wellness guidance.
A Google veteran who founded character.AI is jumping to OpenAI
Noam Shazeer, a co-lead at Gemini and the founder of Character.AI is leaving Google to join OpenAI in the latest AI talent war move.
Microsoft Makes Big AI Inroads in China by Selling OpenAI Models
Microsoft Corp. has built a big business selling AI models to Chinese companies despite the growing rivalry between the US and China over artificial intelligence.
OpenAI launches scheduled tasks in ChatGPT, details here
OpenAI is updating ChatGPT with a new scheduled tasks feature. The new ability is rolling out starting today. Scheduled tasks...
Anthropic CEO Dario Amodei throws shade at Sam Altman
Anthropic CEO Dario Amodei, who famously left OpenAI in 2020, says he's "at peace" on where things stand with his chief AI rival.
OpenAI Just Started Selling What Your Consulting Business Sells
OpenAI and Anthropic just launched their own AI consulting firms. Here is what independent advisors and small firms should do to keep their clients.
Japan's tech business SoftBank rolls out OpenAI 'patches' against cyberattacks
TOKYO (AP) — Japanese technology giant SoftBank Group Corp. is launching a service using OpenAI technology to protect against the looming threat of cyberattacks, both companies said Tuesday.
Japan's tech business SoftBank rolls out OpenAI 'patches' against cyberattacks
Japanese technology giant SoftBank Group Corp. is launching a service using OpenAI technology to protect against the looming threat of cyberattacks
Japan's tech business SoftBank rolls out OpenAI 'patches' against cyberattacks
Japanese technology giant SoftBank Group Corp. is launching a service using OpenAI technology to protect against the looming threat of cyberattacks. Chief Executive Masayoshi Son called Japan’s...
Businesses feeling strain from AI spending, so OpenAI reportedly weighs price cuts
OpenAI CEO Sam Altman acknowledged the cost concerns he’s hearing from customers, with some corporate users blowing through their annual AI budgets in a fraction of their fiscal years. “That went from, at the beginning of this year, an iss…
States launch investigation into ChatGPT's impact on young users
New York State Attorney General Letitia James served OpenAI a subpoena on Friday seeking a wide range of documents, The Wall Street Journal reported.
AI leaders shift how they talk about AI job impact
OpenAI CEO Sam Altman said the focus on maintaining the "human" part of roles means the AI job wipeout some expected is going to happen.
A Price War Is Brewing Between OpenAI and Anthropic — And It Could Make AI a Lot Cheaper for Your Business
OpenAI is weighing drastic cuts to what it charges for AI tokens. It expects Anthropic to do the same.
Trump’s strange flirtation with AI socialism, explained
Uncle Sam and OpenAI may go into business together.
Businesses feeling the pain from AI spending, so OpenAI reportedly weighs price cuts
An artificial intelligence price war between OpenAI and Anthropic might be brewing, with The Wall Street Journal reporting that OpenAI, the maker of ChatGPT, is considering "drastic" price cuts for business clients.
As OpenAI leans into enterprise business, Apple and Google set sights on the masses
OpenAI's aggressive push into the enterprise, where it competes with Anthropic, coincides with efforts by Apple and Google to bring advanced AI to consumers.
OpenAI and Anthropic keep warning about a future they're building
Both Anthropic and OpenAI have released papers warning that frontier models are being deployed before government regulation can catch up.
OpenAI suspects China-linked campaign tried to sway data center debate
OpenAI said the effort "sought to exploit and amplify existing public concerns about energy prices and local impacts of data center development."
Large language model helps radiology department boost patients’ report comprehension
Emory University has utilized OpenAI’s GPT-5 to create LLM-produced radiology report summaries, clickable terms with embedded educational content, and AI-generated videos.
Chip stocks bounce back as OpenAI files for Wall Street float
Rolling coverage of the latest economic and financial news
Perplexity stays course on 2028 IPO amid OpenAI, Anthropic IPOs
Investors are closely watching whether OpenAI and Anthropic can justify their lofty valuations.
OpenAI files confidential S-1, but says IPO 'may be a while'
OpenAI has filed its confidential S-1, the first official step on its path to a blockbuster IPO. The ChatGPT-maker announced the filing on Monday.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
H-1B visa filings rise for Anthropic, OpenAI, Nvidia
Anthropic, OpenAI, and Nvidia increase H-1B visa applications as other tech giants cut back, highlighting the AI talent demand.
Miami luxury home seller considers AI shares as payment
A Miami home seller is open to accepting shares in OpenAI, Anthropic, or SpaceX as payment, reflecting a trend in investment strategy.
OpenAI plans ChatGPT 'superapp' overhaul ahead of listing, FT reports
OpenAI is planning its biggest ChatGPT overhaul yet, aiming to turn it into a "superapp" with coding tools and AI agents to boost revenue ahead of a planned share listing, the Financial Times reported on Sunday.
New ChatGPT Lockdown Mode Limits Tools That Could Enable Data Exfiltration
OpenAI Lockdown Mode limits outbound ChatGPT requests to reduce prompt injection data exfiltration risk for eligible accounts.
OpenAI is now rolling out Lockdown Mode to more ChatGPT users
Originally restricted to enterprise executives and security teams, OpenAI is now expanding its Lockdown Mode to all ChatGPT users worldwide.
Microsoft AI chief says company was “set free” from OpenAI to pursue superintelligence
Microsoft AI chief Mustafa Suleyman says the company was “set free” from OpenAI as it unveils seven in-house models and pursues superintelligence.
Trump says he’s considering government stake in top AI companies
Industry leaders will soon gather at the White House to discuss the idea, the president said. The comments come as SpaceX, Anthropic and OpenAI prepare to go public.
What to Expect From WWDC 2026: Gemini-Powered Siri, iOS 27, macOS 27 and More
Apple's 2026 Worldwide Developers Conference is just days away, and it's going to be an interesting event because it will give us a look at Apple's AI plans. We'll see how Apple is going to compete with OpenAI, Anthropic, and Google in the months to come with an AI version of Siri and new AI features for its apps. Subscribe to the MacRumors YouTube channel for more videos.
Microsoft and OpenAI broke up — now they’re ready to fight
“We have to prove that we can do everything that we need to from the ground up,” said AI chief Mustafa Suleyman.
Microsoft launches MXC, an OS-level sandbox for AI agents, with OpenAI and Nvidia already on board
Microsoft launches MXC, an OS-level sandbox for AI agents in Windows, giving enterprises secure runtime controls, identity, and policy enforcement.
Flush With Cash From OpenAI, Opal Is Making an AI-Powered Audio Gadget
Opal, the company famous for making a fancy webcam, has pivoted to making other consumer electronics. Fueled by big investments from OpenAI and Samsung, it’s working on an audio gadget first.
OpenAI and Anthropic have a new rivalry: who rings the bell first
Conventional wisdom holds that going public first is better because there is only so much capital to go around. But what if it's better to go second?
OpenAI distances itself from cofounder Brockman's political donations
Greg Brockman and his wife donated $25 million to a pro-AI political network — and OpenAI says the company has nothing to do with it.
OpenAI distances itself from cofounder Brockman's political donations
Greg Brockman and his wife donated $25 million to a pro-AI political network — and OpenAI says the company has nothing to do with it.
Silicon Valley's new slogan: Let's get physical
Silicon Valley's AI boom is moving into robotics as OpenAI, Meta, Tesla, and startups race to give AI a body.
Sam Altman weighs in on IPO race after Anthropic files to go public
Hours after Anthropic filed paperwork for an IPO, Altman said OpenAI is not focused on the timing of who goes public first.
James Uthmeier files civil lawsuit against Sam Altman and OpenAI
The legal challenge against the artificial intelligence company comes as Uthmeier is also pursing criminal charges.
Tesla Stock Drops. OpenAI Is Coming for One Line of Its Business.
OpenAI wants to get into humanoid robots, just like Tesla.
Nvidia-backed $5 billion AI company tells CNBC it's launching major expansion in London
Runway follows U.S. AI giants including Anthropic and OpenAI in announcing big London growth plans.
Small Business Tech News This Week: Uber, Starbucks, OpenAI, TikTok And 20 Great AI Tools
AI hype meets reality: Uber questions ROI, Starbucks drops AI inventory, TikTok shopping booms, and 20 AI tools worth exploring.
OpenAI’s Revenue Chief Barnstorms for Business Customers
Before former Slack CEO Denise Dresser joined OpenAI in December as its chief revenue officer, the company’s efforts to sell its products to business customers were sometimes clunky. Earlier in 2025, for example, the company had struck an agreement with Databricks, which would sell OpenAI ...
The $900 Billion Giant: How Anthropic Got So Big, So Fast
The artificial intelligence giant was just valued at $900 billion, surpassing OpenAI. Here are the numbers behind its rise — and headwinds it faces.
OpenAI's ChatGPT ad tests reveal new advertising trends
OpenAI's ad rollout is now generating data, which shows ChatGPT has become a hot spot for software ads.
In Graphic Detail: Why OpenAI’s ad business is still a work in progress
As OpenAI is reportedly gearing up to go public, Digiday has charted the promise, and early tensions behind its ad business.
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
AI's COVID shutdown moment: SpaceX IPO, Anthropic, OpenAI, Nvidia
From SpaceX's IPO to Anthropic's massive revenue number, it looks like AI just had the day when the hype became real.
OpenAI hires in preparation for AI that could train itself
OpenAI and Sam Altman aim to automate AI research. They are now hiring for a role to prepare the company for self-training AI.
Codex for Mac updated with new Appshots feature that instantly gives chat context
OpenAI just released this week’s Codex desktop app update, and it includes a brand new feature on Mac called Appshots....
OpenAI IPO Filing Could Come 'Very Soon:' Report
An OpenAI IPO filing could come later this week as the ChatGPT parent works with bankers, according to a new report.
Xbox expands leadership team with major hires
Xbox has added two big names to its leadership team: Matthew Ball and Scott Van Vliet. The new recruits are part of an on-going drive from Xbox CEO Asha Sharma to move faster, build better products, and make more focused business decisions. The Game Business can reveal that Ball is joining as Chief Strategy Officer. He is a popular industry analyst who is responsible for the annual The State of Video Gaming report, which is widely read across the business. His first job will be to strengthen the console side of Xbox, which is facing significant pressures, not least from the rising costs of memory and storage. In an interview with The Game Business earlier in the year, he admitted he was “pretty frightened” by the situation for the console sector. Ball had previously worked as head of strategy and planning for Amazon Studios, and wrote the 2022 international best-seller The Metaverse. He is currently CEO of Epyllion, a venture partner at investment group Makers Fund and senior advisor at KKR & Co. Meanwhile, Scott Van Vliet joins as Chief Technology Officer. He was previously in charge of Azure OpenAI and AI Core infrastructure at Microsoft, and he also led engineering for Microsoft Teams during the COVID 19 pandemic. But he has a games background. He previously worked across games for Amazon, including Alexa, Amazon Game Studios and the Amazon App Store. He directly worked on the Minecraft: Fire TV Edition. Prior to that, he was VP of Digital Play at Mattel, and worked across brands such as Batman, Barbie, Angry Birds, Fruit Ninja and Cut The Rope. His job will be to improve how Xbox builds products so teams can move faster and deliver stronger results. For more breaking stories, sign-up to The Game Business today Subscribe In addition to these new hires, Xbox has promoted Chris Schnakenberg to Corporate Vice President, Partnerships & Business Development. He was previously VP of partnerships and business development, and joined from Activision Blizzard, where he spent 12 years in various strategy, business development and partner relations role. His focus is on third-party games, publishers and developers working with Xbox. The news follows a number of new hires and promotions earlier in the month, including Jason Ronald taking leadership over Xbox’s upcoming Project Helix console. “These changes are about strengthening our foundation by creating more clarity and improving execution,” Sharma said in an email to staff. “As we head toward Showcase and beyond, we’ll continue making the changes needed to position XBOX for the future.” Matthew Ball is speaking with Christopher Dring at The Game Business Live on Monday, June 8. More details on the event can be found here.
Xbox expands leadership team with major hires
Xbox has added two big names to its leadership team: Matthew Ball and Scott Van Vliet. The new recruits are part of an on-going drive from Xbox CEO Asha Sharma to move faster, build better products, and make more focused business decisions. The Game Business can reveal that Ball is joining as Chief Strategy Officer. He is a popular industry analyst who is responsible for the annual The State of Video Gaming report, which is widely read across the business. His first job will be to strengthen the console side of Xbox, which is facing significant pressures, not least from the rising costs of memory and storage. In an interview with The Game Business earlier in the year, he admitted he was “pretty frightened” by the situation for the console sector. Ball had previously worked as head of strategy and planning for Amazon Studios, and wrote the 2022 international best-seller The Metaverse. He is currently CEO of Epyllion, a venture partner at investment group Makers Fund and senior advisor at KKR & Co. Meanwhile, Scott Van Vliet joins as Chief Technology Officer. He was previously in charge of Azure OpenAI and AI Core infrastructure at Microsoft, and he also led engineering for Microsoft Teams during the COVID 19 pandemic. But he has a games background. He previously worked across games for Amazon, including Alexa, Amazon Game Studios and the Amazon App Store. He directly worked on the Minecraft: Fire TV Edition. Prior to that, he was VP of Digital Play at Mattel, and worked across brands such as Batman, Barbie, Angry Birds, Fruit Ninja and Cut The Rope. His job will be to improve how Xbox builds products so teams can move faster and deliver stronger results. For more breaking stories, sign-up to The Game Business today Subscribe In addition to these new hires, Xbox has promoted Chris Schnakenberg to Corporate Vice President, Partnerships & Business Development. He was previously VP of partnerships and business development, and joined from Activision Blizzard, where he spent 12 years in various strategy, business development and partner relations role. His focus is on third-party games, publishers and developers working with Xbox. The news follows a number of new hires and promotions earlier in the month, including Jason Ronald taking leadership over Xbox’s upcoming Project Helix console. “These changes are about strengthening our foundation by creating more clarity and improving execution,” Sharma said in an email to staff. “As we head toward Showcase and beyond, we’ll continue making the changes needed to position XBOX for the future.” Matthew Ball is speaking with Christopher Dring at The Game Business Live on Monday, June 8. More details on the event can be found here.
The company behind ChatGPT hopes to win the national AI fight
As Washington dithers on AI safety, OpenAI’s top lobbyist is persuading blue states to pass laws that advance his plan for a national AI framework — and he says he’s just getting started.
OpenAI launches Guaranteed Capacity program for businesses
The new program lets customers lock in compute access for up to three years, with discounts tied to the length of commitment
Google to release smart glasses and add AI ‘agents’ to search engine
CEO Sundar Pichai says features powered by new Gemini model will close gap with Anthropic and OpenAI
Google Antigravity 2.0 goes after Claude Code and OpenAI Codex with a full agent-first rebuild
Google has taken the IDE off Antigravity. What is left, announced at I/O 2026, is a standalone desktop app built around agents rather than a code editor with AI bolted on.
Google's SynthID AI watermarking tech is being adopted by OpenAI, Nvidia, and more
AI content is getting good, but SynthID might be able to help tell truth from fiction.
OpenAI’s Legal Win Against Musk Still Stings | AI & Business for May 19
Plus, a Wall Street-backed cloud-computing effort and rising opposition to AI
Anthropic hires former OpenAI and Tesla AI boss Andrej Karpathy
Andrej Karpathy, the OpenAI founding member who was formerly Tesla's AI boss, announced on Tuesday that he had joined Anthropic.
Elon Musk vows to appeal after losing his lawsuit against OpenAI
Elon Musk wrote on X that there was "no question" that Sam Altman and Greg Brockman "did in fact enrich themselves."
Federal jury delivers verdict on Musk's lawsuit against OpenAI
A jury in federal court reached a verdict in Elon Musk's lawsuit against OpenAI after Musk accused the maker of ChatGPT of violating its founding mission as a nonprofit.
OpenAI and Sam Altman found not liable in Elon Musk trial verdict
A jury rendered its verdict in Elon Musk's trial against OpenAI and Sam Altman.
OpenAI Bought Company That Offered A.I. Tools for Cloning Voices
The acquisition, Weights.gg, was a sort of social network for creating and sharing artificial intelligence algorithms.
The biggest surprise I saw from Sam Altman's testimony at Musk trial
A Business Insider tech reporter was in the courtroom for CEO Sam Altman's testimony in the Elon Musk and OpenAI trial. Here's the biggest surprise.
OpenAI's Codex on mobile is good news for open-laptop walkers
OpenAI announced a Codex tab in the ChatGPT app. The mobile interface could help reduce the need to take your open laptop with you, a recent trend.
OpenAI says Codex is coming to your phone
The update gives users enhanced flexibility over how they can manage their workflows.
OpenAI brings Codex control to ChatGPT for iPhone and Android
OpenAI has announced a new way to interact with its Codex system from your iPhone. An update to ChatGPT for...
Google is about to release a new Gemini model
Sources say that Google plans to announce a new Gemini model at its annual I/O conference on Tuesday. I’m told the release will land roughly in the class of OpenAI’s recent GPT-5.5. and well short of Anthropic’s Mythos, which, despite not being widely available, has reset how every lab talks about what “leading” means.
Microsoft’s multi-agent AI system tops Anthropic’s Mythos on cybersecurity benchmark
Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing single-model systems from Anthropic and OpenAI by using more than 100 specialized AI agents across multiple models.
Anthropic tops OpenAI in business AI adoption for the first time
Anthropic surpassed OpenAI in AI business spending, according to Ramp's AI Index, marking a significant shift in AI adoption for the Claude creator.
Anthropic now has more business customers than OpenAI, according to Ramp data
For the first time, Anthropic has more verified business customers than OpenAI, according to this month’s AI Index from the fintech firm Ramp.
Axios interview: Reimagining government + business + AI
Chris Lehane laid out OpenAI's political playbook.
Thinking Machines Lab sees key talent leave for Meta, OpenAI, xAI
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, faces talent loss to rivals like Meta amid Silicon Valley's competitive AI sector.
Sam Altman testimony in Elon Musk trial: Biggest takeaways
Sam Altman testified that he considered going to Microsoft to make 'a ton of money' during his ouster from OpenAI.
Sam Altman faces awkward grilling over 'toxic culture of lying'
OpenAI CEO Sam Altman was bombarded with questions from Elon Musk's attorney over whether he lies to advance his business interests.
Nvidia Is Spending Big On its Supply Chain | AI & Business for May 12
Plus, OpenAI’s employee payouts and tech’s growing unemployment
Sam Altman’s Business Dealings Under GOP Scrutiny Ahead of OpenAI’s IPO
The Republican-led House Oversight Committee says it is investigating, and six GOP state attorneys general are calling for SEC review after a WSJ article.
What people are saying about OpenAI's big investment in enterprise AI
OpenAI is working with some big names to start a new company focused on advising businesses on how to build and deploy AI.
OpenAI launches the OpenAI Deployment Company to help businesses build around intelligence
OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.
Fake OpenAI Privacy Filter Repo Hits #1 on Hugging Face, Draws 244K Downloads
Fake OpenAI Privacy Filter hit #1 on Hugging Face with 244,000 downloads, spreading infostealer malware to Windows users.
SoftBank cuts target for OpenAI margin loan by 40% to $6 billion, Bloomberg News reports
SoftBank Group has downsized plans for a $10 billion margin loan backed by its OpenAI stake after hesitation from some creditors, Bloomberg News reported on Friday, citing people familiar with the matter said.
OpenAI's Codex Now Works in Chrome With New Extension
OpenAI today launched Codex for Chrome, a Chrome extension that lets Codex work directly in the browser on Macs and PCs. With the extension, Codex can use the browser to test web apps, get context across multiple tabs, use web DevTools, and more without taking over the browser from the user. OpenAI says that after it launched Computer Use in the desktop Codex app, it saw that most common workflows happened in the browser.
OpenAI Debuts A Codex Plugin For Chrome
The new feature could turn Codex into more than a coding aid.
Elon Musk witness testimony hits Sam Altman in trial
From claims of safety taking a back seat to the "toxic culture" he created, OpenAI CEO Sam Altman faced a tough day in court.
OpenAI introduces new 'Trusted Contact' safeguard for cases of possible self-harm
The company is expanding its efforts to protect ChatGPT users in cases where conversations may turn to self-harm.
The OpenAI trial is exposing a brutal truth about workplace texts
Sam Altman and Mira Murati texts, revealed in the Musk v. Altman trial, are a reminder of the risks of putting sensitive info in writing.
Former OpenAI Researcher To Raise $500 Million For AI Science Startup
Periodic Labs, which plans to push breakthroughs in physics and chemistry using artificial intelligence, has seen its valuation jump sixfold in just eight months.
See Sam Altman's frantic texts after 2023 OpenAI ouster
Sam Altman pleads for return as OpenAI CEO during 2023 ouster, Mira Murati interim CEO, revealed at Musk v Altman trial. Key text exchange.
OpenAI's health policy wishlist, CGM news from Dexcom, and more
In this edition of STAT Health Tech: A health policy blueprint from OpenAI, CGM updates from Dexcom, and push back against whole body scans.
What 3 Ex-OpenAI execs testified about Sam Altman's management style
From complaints of "chaos" to poor communication, see what 3 witnesses said about Sam Altman's management style at the Musk v. Altman trial.
The ChatGPT-ification of American Business
Companies like Starbucks and Lowe’s are hoping to get closer to customers with new apps that integrate into OpenAI’s ChatGPT interface.
Shivon Zilis clears the air around her relationship with Elon Musk
Elon Musk's lawsuit against OpenAI's Sam Altman features Shivon Zilis as a key witness. Zilis discusses her ties to Musk and denies leaking info.
The Download: seafloor science and military chatbots
Plus: Elon Musk pushed OpenAI to go commercial, its president has testified.
OpenAI wants to ‘have their cake and eat it too’ with health AI policy recommendations
Policy recommendations in OpenAI's blueprint for unlocking AI’s potential to change health care are reasonable, but also self-serving, experts say.
The 7 biggest revelations from Greg Brockman's second day of testimony
The OpenAI president's testimony revealed Elon Musk confrontations with the company's founders and the OpenAI's skyrocketing computing costs.
OpenAI founder details partying with Elon Musk before parting ways
OpenAI President Greg Brockman told the jury about an explosive meeting with Musk days after celebratory drinks at the Tesla CEO's 'haunted mansion.'