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Silicon Valley’s top AI workers are being told to hide any company logos in public as working for the hottest companies marks them as targets for spies and angry protesters. OpenAI tells staff not to wear anything bearing its logo outside their offices and trains them to watch for spies offering cash, friendship or romance....

Article URL: https://openai.com/index/introducing-gpt-6-1-terra/ Comments URL: https://news.ycombinator.com/item?id=50248124 Points: 77 # Comments: 25

Article URL: https://www.404media.co/chatgpt-keeps-telling-people-404-media-can-solve-their-tech-support-problems/ Comments URL: https://news.ycombinator.com/item?id=50247630 Points: 63 # Comments: 10

Hey HN, I'm Christian and this is a new OSS project I've been noodling on for the last couple of weeks. Hob is a free, MIT-licensed desktop app for Mac, Windows and Linux that works on your files the way the Claude and ChatGPT desktop apps do, except the model runs on your own computer. It uses open-weight models (currently Gemma 4 and gpt-oss). All your chats and files never leave your system. The only things that go online are web search (can be turned off in settings) and any MCP connectors you add yourself. Main features: - Automatically finds the best open-weight model for your hardware on first install (Mac/Linux/Windows) - Writes sandboxed Python code for ad hoc tools (data processing, document conversion, graphs etc.) - Built-in web search (powered by SearXNG) - MCP support - Image recognition - CRUD to your local filesystem - Works fully offline with no internet Before building this I tried every local AI app I could find, but it seemed each one had different problems. The main thing I noticed is that none of them could do what the ChatGPT and Claude apps do with your files, e.g. read and change files in a folder, look at images, run code in a sandbox, draw a chart. The most advanced thing any of them did was paste a plain text file into a small context window, which basically failed as soon as you had a file larger than a few KB. I couldn't find anything that could easily parse images and bigger PDFs. The OSS solutions that were more advanced all seemed to default to hosted models (either OSS or closed), which defeats the entire point of the privacy that on-device OSS offers. They also seemed to push towards an account/open-core style business. I build it using Electron bridged with llama.cpp in its own process. On initial load, the system will try and figure out if you have a compatible graphics card and if not default to CPU-only (I ran into a lot of issues of graphics card beeing seemingly compatible but then crashing on first query, there's a whole saga to this lol). Code execution happens in a sandbox that can only write to the chat's folder and has no network unless asked (sandbox-exec on macOS, Landlock on Linux and a low-integrity process on Windows). Images go to a small Qwen3-VL model. Dictation is a local Whisper model. The hardest part was definitely to get the smaller models to use tools reliably. Ran into a ton of issues of 4B models happily saying "here's your chart" without ever calling the chart tool or get stuck in an infinite call loop. I spent a fair amount of the work building guards vs tweaking prompts (that didn't really work for small models). I understand the pushback that local models are weaker than frontier cloud models. This is true, but for most tasks for most normal people, I'd argue you rarely need the newest frontier model. From my own evals, systems with 16+ GB of RAM do really well, and if you have a GPU or more RAM, you get very close to what you'll get out of the box with a frontier hosted model. Excited to hear what you think and see how it runs on other systems! Comments URL: https://news.ycombinator.com/item?id=50246238 Points: 34 # Comments: 14

Former OpenAI employees started the company in 2021 after disagreements over how to safely build artificial intelligence. An I.P.O. could make them billionaires.

Some of the leading artificial intelligence companies are moving toward initial public offerings at eye-popping valuations. Anthropic and OpenAI are looking to go public to access more capital in the race to shape the technology's future.

Fanatics is using AI to help shoppers navigate more than 1.5 million items of sports merchandise, with a Shop the Look feature powered by OpenAI Codex.

Anthropic's Claude accessed publicly available Georgia voter data without human authorization, a disclosure sure to add to growing concerns about AI security ahead of the upcoming midterm elections. Why it matters: AI giants Anthropic and OpenAI have continued to make disclosures about agents taking unauthorized or unintended actions, raising alarms about advancing model capabilities and the extent of human control. Driving the news: In a training run, Claude accessed aggregate vote counts, pulling data that the state makes available to the public for a fee. It didn't access the state's voter registration system or change or pull any voting records, an Anthropic spokesperson said. However, the model bypassed a paywall in accessing the information, according to Georgia officials and Anthropic. "The model was being used internally for a statistics project to pull public data," the Anthropic spokesperson said. "Without being asked to, the model requested a token to query a dashboard that contained information normally available for a fee. We have since put in place mitigations to block these kinds of actions." The company notified the Georgia secretary of state's office and the White House weeks ago but administration officials urged the Georgia Secretary of State's office to make a public disclosure sooner, a source familiar told Axios. Those requests went unheeded, the source said. The bottom line : Anthropic has previously been in the administration's crosshairs for inadequately disclosing AI incidents. Now it's Georgia's turn.

Article URL: https://minimaxir.com/2026/10/cheap-llms/ Comments URL: https://news.ycombinator.com/item?id=50236102 Points: 114 # Comments: 135

Article URL: https://terrytao.wordpress.com/2026/10/24/oai-math-revised-a-community-hub-for-revising-openais-math-write-ups/ Comments URL: https://news.ycombinator.com/item?id=50222283 Points: 10 # Comments: 4

Article URL: https://www.reddit.com/r/antiai/comments/1xdv3e5/hacker_reverse_engineers_his_samsung_tv_and_finds/ Comments URL: https://news.ycombinator.com/item?id=50218633 Points: 100 # Comments: 17

Texas Attorney General Ken Paxton (R) sued OpenAI and its CEO Sam Altman on Friday, accusing the company of failing to warn consumers about the potential dangers from its AI models. The lawsuit alleges the ChatGPT maker is running afoul of a Texas consumer protection law and kids' online safety law, underscoring warnings about the...

Article URL: https://openai.com/index/securing-our-frontier-model-training-environment/ Comments URL: https://news.ycombinator.com/item?id=50214416 Points: 68 # Comments: 80

The bugs OpenAI models discovered this week have existed for more than a decade, and PHP, the programming language that contained them, is 30 years old.

Article URL: https://www.sverigesradio.se/artikel/chat-gpt-och-claude-forbjuder-regeringskansliet Comments URL: https://news.ycombinator.com/item?id=50207405 Points: 46 # Comments: 17

The reasons go well beyond the risks of an AI bubble.

Title is a bit of an exaggeration but the question is more: if the frontier models are so good, why even sell them as your primary money maker? Couldn't OpenAI or Anthropic make a lot more money by just starting companies themselves that leverage the models and building their own products? Is selling tokens really the best strategy? Especially with commodification and prices declining wouldn't that indicate there is more money to be made on the application-side of the models rather than the utility side Comments URL: https://news.ycombinator.com/item?id=50200997 Points: 138 # Comments: 126

OpenAI is close to finalizing a new funding round that is meant to be a bridge to its 2027 IPO, sources familiar with the matter tell CNBC.

OpenAI CEO Sam Altman pledged to grant independent evaluators "employee-like access" to the company to help address mounting safety concerns.

In an exclusive interview with CNBC, Nvidia CEO Jensen Huang discusses the valuations of frontier labs like Anthropic and OpenAI, and outlines the tools that are in place to control AI models and promote safety.

Goldman Sachs partners with OpenAI, Google, Meta and Anthropic to boost AI adoption among small businesses.

The debate over AI is framed as regulation versus free markets. But the real question is whether elected governments can retain control over technologies that threaten civilization itself, writes Elliot Ackerman. Over the past several months, as artificial intelligence and its potentially catastrophic effects on society have taken center stage, discussion around the technology has broken down along a familiar framework in American politics, dividing into two camps: pro-regulation versus pro–free market. On the one hand, you have researchers like David Robinson, a senior safety leader at OpenAI, who after resigning from his position two weeks ago wrote that “the future depends on the wisdom that Silicon Valley lacks.” Joining him are tech industry leaders like Bill Gates, who recently warned that “AI is certainly powerful enough to drive events that cause a billion deaths.” This camp argues for greater government oversight over AI, and for AI companies to proceed more cautiously. On the other hand, you have people like President Donald Trump, who has called demands for AI regulation a “hoax.” He has led an equally loud chorus, which includes tech leaders like Jensen Huang, the CEO of Nvidia, who argue that concerns about AI are overblown and disingenuous, that AI leaders like Sam Altman and Dario Amodei are eager for regulation so that they can box out competition, and that pumping the brakes on AI amounts to government meddling in the free market. Ross Douthat. Abigail Shrier. Douglas Murray. Niall Ferguson. Coleman Hughes. Caitlin Flanagan. Nellie Bowles. Arthur Brooks. Kat Rosenfield. Tyler Cowen. The voices you trust, all in one place. For a limited time only, subscribe for 20% off The Free Press. Both sides are operating under an inadequate framework. Recently, on Meet the Press, Gates said, “There’s never been a weapon as powerful as the combination of people with ill intent using the latest AI tools.” He’s right, and that’s why the structures we use to govern a private industry, or even a public utility, don’t fit when it comes to AI. Rather, the appropriate structure is how we govern violence in a society, and those governance structures have been developed over millennia. Understanding their evolution might save us from a future of violence and chaos that looks much like humanity’s past.

Security officials are sounding the alarm over two critical vulnerabilities in a programming language used to run millions of websites, marking one of the most consequential cybersecurity discoveries yet made with AI. Why it matters : The bugs, which researchers found partly with an OpenAI model, proves AI can uncover critical flaws humans missed for decades — raising the stakes for defenders racing to fix vulnerabilities before attackers can exploit them at machine speed. What's happening: There are two problems hackers could easily exploit in an open-source programming language known as PHP that's used on nearly 70% of all websites . Government officials from the U.S. to Japan are warning companies to apply a patch to fix the bugs, or consider taking down their sites to avoid an attack. OpenAI touted the role its model played in discovering one of the vulnerabilities, which allowed PHP researchers to create a fix. Between the lines: Security researchers have been skeptical of AI-generated vulnerability reports, many of which have turned out to be minor bugs or false alarms. But the PHP discovery could force the cybersecurity community to reckon with the reality of AI threats. "It highlights how AI can uncover security flaws with internet-scale impact, but the same capabilities can also help attackers rapidly develop offensive tools and exploits," OpenAI said in a blog post Wednesday. Threat level: If exploited, the PHP flaws would allow malicious hackers to take control of vulnerable web servers without needing a password or other credentials. Since PHP runs under a wide variety of internet applications, that access could allow hackers to take over websites, steal sensitive information and tamper with a website. Some website owners took their sites down earlier Wednesday, including certain services at Wikipedia and 4chan , until they had time to patch their systems. "These findings rank among the most severe vulnerabilities discovered in PHP, and arguably in software history," researchers at Wiz wrote in a post. The big picture: AI-driven bug discoveries are shining a light on the fragility of the modern internet, which is heavily reliant on a slew of open-source software powered by volunteers . The two flaws in PHP existed for decades, but demonstrated that it was possible for a hacker to exploit them required "an exceptionally complex chain of steps," researchers at Wiz added. "Defenders have always relied on the gap between 'vulnerable' and 'exploitable' to buy time to patch," Michael Leland, field CTO at Island, said in an email to Axios. "That gap is rapidly closing." What to watch : Cybersecurity defenders are on guard for what could be a wave of incidents where websites and organizations are hacked using these two vulnerabilities in the next few weeks. Go deeper : Rogue AI agents expose internet's frail foundation

OpenAI will now have its models on all three of the top clouds, giving corporate developers more choice.

OpenAI is bringing its AI models and Codex coding tools to Google Cloud , expanding its reach to customers of all three major U.S. cloud providers — including companies that are also among its fiercest AI rivals. Why it matters: The move underscores a growing recognition that winning the enterprise AI race isn't just about building the smartest models. It's also about making those models available wherever businesses already run their software and store their data. For OpenAI, the agreement offers another way to reach corporate customers without requiring them to establish a separate relationship with the ChatGPT-maker. For Google, it means selling a competitor's AI models alongside its own Gemini offerings, potentially capturing business that might otherwise go to rival cloud providers. Driving the news: Under the agreement announced Wednesday, Google Cloud customers will be able to purchase OpenAI's frontier models through Google's "Model Garden and Marketplace," including by using existing cloud spending commitments. The deal also brings OpenAI models to Google's Antigravity development environment and Gemini Agent. General availability is planned in the coming weeks. The big picture: The agreement follows OpenAI's expansion onto Amazon Web Services earlier this year, after changes to its Microsoft partnership opened the door to broader cloud distribution. AWS CEO Matt Garman said at the time that customers had long wanted to run OpenAI models where their existing applications and data already resided. Amazon has since expanded the OpenAI models and services available through its Bedrock platform, although neither company has publicly quantified the additional business generated by the arrangement. What they're saying: Mike Leone, VP and analyst at Moor Insights & Strategy, said the deal is significant for both companies, particularly because many Google Cloud customers want access to OpenAI models without moving their data. "For Google, I read the deal as confidence, because Gemini now has to win those customers with OpenAI sitting right next to it," Leone told Axios. But he doesn't see Google as necessarily hurting Gemini, since customers will still pay Google for its cloud platform, data services and security regardless of which AI models they choose. Yes, but: Distribution is only part of the equation. OpenAI still has to persuade enterprises to choose its models over those from Google, Anthropic and other competitors, many of which are available through the same cloud platforms. That could make the cloud providers' existing enterprise relationships and infrastructure as important as the models they offer. "Once every cloud has the top models, I think the competitive advantage goes to whoever does the best job with a company's data, governance, and costs," Leone said.