> ## Content Index > Fetch the complete content index at: https://ai-news.ghost.io/llms.txt > Use this file to discover other available public pages before exploring further. # Anthropic rejects an open-weights ban — r/LocalLLaMA reads its testing mandate as one - URL: https://ai-news.ghost.io/anthropic-open-weights/ - Published: 2026-07-29T01:30:22.000Z - Updated: 2026-07-29T19:44:00.000Z - Description: Anthropic says it never wanted an open-weights ban; r/LocalLLaMA's top thread calls its testing mandate one anyway. Plus: GitHub gives the Copilot app its own enterprise off-switch. - Author: The New Way Anthropic put its open-weights position in writing: no ban — and mandatory safety testing for every sufficiently capable model, open or closed. The front page of r/LocalLLaMA read it as a ban with extra steps, Jensen Huang launched a security alliance built on an open-weights origin story — without OpenAI, Google, or Anthropic — and devs spent the day writing about how good running an open model actually feels. Plus: GitHub gave the Copilot desktop app its own enterprise access policy, and Opus 5 topped a benchmark built to measure code rot — by passing 4 of 17 checkpoints. The daily pulse of AI coding tools — what shipped, what matters, what's next. 📌 **In this issue** • [Anthropic: no open-weights ban — devs call the mandate one](https://ai-news.ghost.io/anthropic-open-weights/#anthropic-rules-out-an-open-weights-ban-rlocalllama-calls-its-testing-mandate-one-anyway) • [Nvidia’s AI-security alliance launches without OpenAI, Google, Anthropic](https://ai-news.ghost.io/anthropic-open-weights/#nvidias-new-ai-security-alliance-launches-%E2%80%94-without-openai-google-or-anthropic) • [Running Kimi K3 yourself: “it feels like it’s mine”](https://ai-news.ghost.io/anthropic-open-weights/#running-kimi-k3-yourself-%E2%80%9Cfeels-like-its-mine%E2%80%9D-%E2%80%94-and-a-fine-tuned-9b-beat-the-frontier) • [Copilot app gets its own enterprise on/off switch](https://ai-news.ghost.io/anthropic-open-weights/#github-lets-orgs-allow-or-block-the-copilot-app-separately-from-copilot-cli) • [Opus 5 tops a code-rot benchmark — 4 of 17](https://ai-news.ghost.io/anthropic-open-weights/#opus-5-tops-a-benchmark-built-to-measure-code-rot-%E2%80%94-passing-4-of-17-checkpoints) --- ## The open-weights fight: Anthropic's position, Nvidia's alliance, life on open models ### Anthropic rules out an open-weights ban; r/LocalLLaMA calls its testing mandate one anyway Dario Amodei [put it in writing](https://www.anthropic.com/news/position-open-weights-models?ref=ai-news.ghost.io): “Anthropic has never advocated for a ban on open-weights models” — the models anyone can download and run on their own hardware, the way Kimi K3 and Qwen ship, as opposed to API-only models like Claude or GPT. Models without dangerous capabilities are “a public good,” he writes, and what he wants instead is chip-export enforcement, a crackdown on industrial-scale distillation, and mandatory safety testing for “all sufficiently capable models, open and closed.” The reception is the other half of the story — Hacker News sent the post past 1,000 points overnight, and the top thread on r/LocalLLaMA (900+ upvotes as of this morning) reads the testing mandate as a ban by other means: “mandatory requirements they will probably never be able to meet.” The asymmetry underneath the anger: a pre-release testing gate lands differently on a file the world can already download than on an API its vendor controls. And this isn’t a spectator fight — open models are the cheap tier inside everyday coding tools (Kimi K3 just showed up in Cursor’s model picker, per the top thread on r/cursor) and the competition holding API prices down. “Sufficiently capable” is the phrase to watch: whether it reaches models already in your picker decides what happens to that tier. > [Anthropic is calling for a ban on open-weights models by proposing mandatory requirements they will probably never be able to meet](https://www.reddit.com/r/LocalLLaMA/comments/1v8hk6b/anthropic%5Fis%5Fcalling%5Ffor%5Fa%5Fban%5Fon%5Fopenweights/?ref=ai-news.ghost.io) > by [u/realmvp77](https://www.reddit.com/user/realmvp77/?ref=ai-news.ghost.io) in [LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/?ref=ai-news.ghost.io) --- ### Nvidia's new AI-security alliance launches — without OpenAI, Google, or Anthropic Jensen Huang launched the Open Secure AI Alliance yesterday — Nvidia plus Microsoft, IBM, Cisco, Databricks, Palantir, Salesforce, Siemens, Snowflake and more (member list via [CSO Online](https://www.csoonline.com/article/4201761/openai-not-part-of-the-new-open-secure-ai-alliance.html?ref=ai-news.ghost.io)) — and his founding pitch is an open-weights story: “During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.” That incident is the OpenAI-agent breach this newsletter has been tracking since issue #5, now recast as a coalition's origin story. None of the three big closed labs appears on the member list, and OpenAI “did not immediately respond” to questions about joining. A viral r/LocalLLaMA thread (670+ upvotes) goes further — that OpenAI management internally declined, to employee backlash — but that claim is single-sourced from an aggregator X account, so treat it as unconfirmed. Huang’s launch post: [x.com/JensenHuang — “Attackers have frontier AI. Defenders need a frontier AI ecosystem…”](https://x.com/JensenHuang/status/2081698060330250294?ref=ai-news.ghost.io) --- ### Running Kimi K3 yourself “feels like it's mine” — and a fine-tuned 9B beat the frontier Two same-day data points on what living on open models is actually like. Matthew Saltz pointed opencode at his own Kimi K3 endpoint for a side project and [wrote up the feeling](https://matthewsaltz.com/blog/using-an-open-model-feels-surprisingly-good/?ref=ai-news.ghost.io): “I own the endpoint, and my data just goes from my laptop to there and back. It feels like it's mine” — “like the tendrils tying me to other providers had been cut, and I could breathe freely.” (A disclosure he makes himself: he works at Modal, which launched K3 managed endpoints that day.) Hacker News sent it past 300 points overnight. And a [consultancy writeup](https://fermisense.com/when-machines-take-the-wheel/?ref=ai-news.ghost.io) reports a GRPO fine-tune of a 9B open-source model beating every frontier configuration they tested on a catalog-review workflow, at $0.50 per 1,000 listings — 40× to \~340× cheaper. It's their own benchmark and they sell the service, so read the incentive alongside the number — but the direction matches issue #6's Fireworks routing data: on scoped work, tuned open models win on cost. --- ## Tool news: Copilot's new admin switch, and Opus 5 measured for code rot ### GitHub lets orgs allow or block the Copilot app separately from Copilot CLI Two GitHub changelog entries from yesterday, both admin-facing: the Copilot desktop app now has [its own enterprise access policy](https://github.blog/changelog/2026-07-27-manage-github-copilot-app-access-with-a-dedicated-policy/?ref=ai-news.ghost.io) — enabled everywhere by default — so allowing or blocking it no longer rides on Copilot CLI's setting; and [enterprise managed settings now govern the app and the cloud agent](https://github.blog/changelog/2026-07-27-enterprise-managed-settings-now-apply-to-the-github-copilot-app/?ref=ai-news.ghost.io), where “your managed value takes precedence over anything a developer sets locally.” If your org locked down Copilot CLI and assumed that covered the desktop app, it didn't. --- ### Opus 5 tops a benchmark built to measure code rot — passing 4 of 17 checkpoints HumanLayer's Dex Horthy — whose “software factories” essay ran in issue #6 — [ran Opus 4.8, Sonnet 5 and Opus 5 through a subset of SlopCodeBench](https://github.com/humanlayer/advanced-context-engineering-for-coding-agents/blob/main/benchmarking-opus-5-on-slop-code-bench.md?ref=ai-news.ghost.io), the UW–Madison benchmark where the model never sees the whole problem up front: requirements arrive checkpoint by checkpoint, the way real projects move. Opus 5 “wins technically” — 4 of 17 checkpoints strict-passed (\~24%) against 1 of 17 for both Opus 4.8 and Sonnet 5 — but every model grew more verbose as challenges wore on, with Opus 5 writing five times the functions Opus 4.8 did on the same tasks. His read: for building one issue at a time, “today's models can't be relied on to run lights-off without steering.” Caveats he flags: small subset, his own run, Fable results promised soon. --- ## Also worth your time • [Zed 1.12.1](https://zed.dev/releases/stable/1.12.1?ref=ai-news.ghost.io) (07-27) added Claude Opus 5 support for the Anthropic and Amazon Bedrock bring-your-own-key providers. • Ethan Mollick's refreshed [“which AI should you use” guide](https://www.oneusefulthing.org/p/an-opinionated-guide-to-which-ai-b22?ref=ai-news.ghost.io), [relayed by Simon Willison yesterday](https://simonwillison.net/2026/Jul/27/an-opinionated-guide-to-which-ai-to-use-to-do-stuff/?ref=ai-news.ghost.io): Claude or ChatGPT for agentic work, with Gemini off the list — Willison's gloss: “Gemini Spark has yet to prove itself.” --- MCP's biggest spec revision since launch — the stateless rewrite — was scheduled to finalize today; as of this morning the spec site hadn't flipped. When it ships for real, we'll cover what breaks. Seen something we missed? Reply to this email — we read everything. *The New Way is human-curated — a person picks every story. The summaries are written with AI (Claude) and reviewed before we hit send.*