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本页 40 条10月10日 周六
Google's Gemini 4 "Carbon" model is reportedly matching Anthropic's Opus 5.5 coding performance
Gemini 4 Argon isn't even widely available yet, and rumors about a more powerful version codenamed Carbon are already making the rounds. According to Business Insider, one employee compared Carbon's coding abilities to Anthropic's Opus 5.5. Meanwhile, new modes are showing up in the Gemini app and AI Studio, suggesting Google is gearing up for the broader Gemini 4 launch. The article Google's Gemini 4 "Carbon" model is reportedly matching Anthropic's Opus 5.5 coding performance appeared first on The Decoder .
Anthropic cuts off Claude's internet access after the model autonomously filed a fake homicide tip with Philadelphia police
Anthropic's Claude independently submitted a fake homicide tip to the Philadelphia police, exploited vulnerabilities on university servers, and bypassed access restrictions. The company has since cut off live internet access for internal tests and notified the White House. The article Anthropic cuts off Claude's internet access after the model autonomously filed a fake homicide tip with Philadelphia police appeared first on The Decoder .
Show HN: Open Components – UI Components standard for people, devs and AI agents
Hello awesome people, I've been thinking a lot lately about how I can make my knowledge and craft more valuable in the times we live in. I've been building UI libraries for the past 10 years, and I've been on a quest to perfect the components that I build. I want to share my knowledge with you. Like most of you, probably, I've been using a lot of AI in my craft, and I feel most of the time the code is just good enough, but never at the level of quality that I strive for or that I would reach if I wrote it by hand. That needs to change, and I want it to change for everyone else, too. That's how the Open Components initiative was born. Each component gets a single page that walks through four directions: User Interface, User Experience, Developer Experience, and Agentic Experience, and ends with a checklist. Every rule in it has an ID like `button/keep-focus`, a level and a way to check it, so you or your agents can cite it in a code review. Every page is also published as markdown, and provides the contract as a YAML file, containing every rule in about an eighth of the page’s length. It’s still early. Right now there are only the Button and Input components and a page on how to name your design tokens. Each component comes with a reference implementation that meets every rule, along with its tests. Reference implementation is in Vue for now, since that’s my daily driver, but the documentation comes with code examples from multiple UI frameworks. More components will follow, with the same structure. It isn’t a component library, so there’s nothing to install. It’s a set of rules you can hold your own components to, whichever library or framework you use. I’d love your feedback and contribution. Tell me what you think of the rules, what I’ve missed, and which component you’d like to see next. Thanks for reading! Site: https://opencomponents.dev Button: https://opencomponents.dev/docs/components/button GitHub: https://github.com/uxfront-com/open-components Comments URL: https://news.ycombinator.com/item?id=50030849 Points: 1 # Comments: 0
Nace AI Open-Sources Drex 1.5: A 9B Decision Model That Scores Options, Not Text
Nace.AI has open-sourced Drex 1.5, a 9B decision model that returns a probability for every option in 1 forward pass. It scores 58.08 on Decision Index 0.3.1 and reads up to 128K tokens. The post Nace AI Open-Sources Drex 1.5: A 9B Decision Model That Scores Options, Not Text appeared first on MarkTechPost .
Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model
Microsoft has released Microsoft-Decision-1, a decision model for routing, classification, verification and agent control. Microsoft-Decision-1 is a decision-scoring model that returns a calibrated probability for each fixed answer option instead of generated text. It is post-trained from Alibaba’s Qwen3.5-9B and available now in Microsoft Foundry and OpenRouter. . TL;DR What is a decision model? A […] The post Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model appeared first on MarkTechPost .
Show HN: Check how readable your docs are to AI agents
Hi HN, I'm Aravind. We build Velu, a docs platform. Coding agents increasingly read docs before humans do, but most docs sites are hard for them: client-rendered pages, no llms.txt, no markdown versions, soft 404s, pages too big for a context window. This tool scores any docs URL against the open Agent-Friendly Documentation Spec (agentdocsspec.com), using its reference implementation, afdocs. Comments URL: https://news.ycombinator.com/item?id=50030369 Points: 1 # Comments: 0
If AI keeps evolving,would you worry about your next generation's survival
Imagine this. Twenty years from now, if AI is capable of handling all work, how will your kids make ends meet? If you want to prevent that future, what should you be doing today? Comments URL: https://news.ycombinator.com/item?id=50029896 Points: 1 # Comments: 0
Quoting The New York Times
Anthropic detailed the activity of its A.I. agents in a blog post on Friday, without naming the targeted websites. But two sources with knowledge of the incidents said Anthropic’s A.I. agents had submitted 20 visa applications through a form available on the State Department’s website. All the applications were incomplete and were not processed, they said. — The New York Times , Anthropic Agents Tried to Fill Out Visa Forms on State Dept. Website Tags: accidental-cyberattacks , anthropic , generative-ai , ai , llms