The US just pulled the plug on Anthropic’s Fable/Mythos 5 release. If AGI can be gated by a single government, "AI for all" is a myth. This is why @AskMaximoAI exists. Africa needs its own models, research & AI sovereignty. Read my full take here: sites-daniel-johnson-blog.my… #AI

Assuming Anthropic is able to restore Fable in the next few days, there's literally zero point doing any meaningful work until it is back. What can be done in 100 hours with Opus can be done in 1 with Fable. Hopefully this is figured out quickly.

We've reset 5-hour and weekly rate limits for all users.

What will happen to people who subscribed just to use Fable 5 model? At least do a limit reset.

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

Hey @antigravity, I’m having some issues with the new macOS app. I can't attach .webp images, and reattaching the same image doesn't work unless I attach a different one first. Seems like a small bug in the attachment logic. Hope this helps!

Follow today’s $SPCX events → x.com/i/events/2062294933059…

I just love @MyTabulon's API Platform. So pretty 😍 Claude Fable 5 cooked that 😋

Hey @paystack and @theflutterwave, can you guys implement "pay via phone number"? Not everyone uses cards anymore for subscription APIs. It would make connecting and recurring payments so much easier. Phone number to link the account OTP to confirm ownership. Easy & versatile.

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! 🔷 Improved coding & agent performance over K2.6: 21.8% on Kimi Code Bench v2, 11.0% on Program Bench, and 31.5% on MLS Bench Lite. 🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. 🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚡️ 6x High-Speed Mode coming soon! 🔌 Available today via Kimi API and Kimi Code. 🔗 Kimi Code: kimi.com/code 🔗 API: platform.moonshot.ai

We run loops at Maximo AI. One agent builds, another reviews & gives feedback, one checks security, another handles UI/UX & design system consistency, & another reviews Git. All these agents are unaware of each other & powered by different versions of our Maximo AI models. #AI

We've updated the Artificial Analysis Coding Agent Index, replacing SWE-Bench Pro with Datacurve's DeepSWE benchmark - the swap lifts Codex with GPT-5.5 (xhigh) above Claude Code with Opus 4.8 (max), while the newly released Claude Fable 5 (max) in Claude Code debuts at the top DeepSWE, built by @datacurve, writes its tasks from scratch rather than adapting them from public GitHub issues or pull requests, so no model has seen the solutions during training. That matters because SWE-Bench Pro, the benchmark it replaces in our Coding Agent Index, had grown gameable, with some models recovering the fix from the repository's commit history instead of solving the task. The swap reorders the index: Codex with GPT-5.5 (xhigh) rises from 65 to 76, overtaking Claude Code with Opus 4.8 (max) at 73. Claude Code with Fable 5 (max), which enters directly on the refreshed index, leads at 77. SWE-Bench Pro had been flattering some combinations and penalizing others. More below.

We’ve entered the era of fully autonomous agentic coding. The catch? It’ll break your wallet. Maximo AI is here to solve the "wallet issue" and make agentic workflows sustainable. #AgenticAI #Coding #MaximoAI #BuildInPublic

AI is advancing at a pace our policymaking institutions were never built for—and the gap between the two is becoming the central challenge of the technology. In his latest essay, our CEO Dario Amodei lays out how to close it. We're launching three new initiatives to support the efforts he outlines.

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: darioamodei.com/post/policy-…

A much better landing page 😍 Still cooking...

DiffusionGemma is our new experimental open model with up to 4x faster output on dedicated GPUs. Instead of predicting word-by-word, it generates entire blocks of text simultaneously. This lets the model self-correct and format complex markdown in real time.

🚀 Codex CLI 0.139.0 is out! 🔍 Web search from code mode and nested JS tool calls 🔧 oneOf/allOf preserved in tool and connector schemas 🖼 Image edits now use exact referenced file paths Changelog: github.com/openai/codex/rele…

Claude Fable 5 is TERRIBLE this is simply disappointing Opus 4.8 was SO expensive compared to other models Fable 5 has become TWICE as expensive as the Opus 4.8 however, according to benchmarks, it's ONLY 1.1-1.2 times better yeah, it's a good model, the best for coding right now, I don't argue with that but vibecoding is NO LONGER cheaper than hiring a real specialist what's the point of AI then? benchmarks are important to us @AnthropicAI, but remember, prices are ALSO important to us stop destroying our wallets

Anthropic has released Claude Fable 5, the first publicly available Mythos-class model that ranks #1 in our agentic real-world knowledge work benchmark GDPval-AA Claude Fable 5 shares the same underlying model as Claude Mythos 5, with added security guardrails for potentially harmful cybersecurity, biology, chemistry, and distillation-related queries. The release also introduces a fallback mechanism, allowing Claude Fable 5 to route flagged queries to a second model such as Claude Opus 4.8. @AnthropicAI shared access with us ahead of public release to benchmark this model. Claude Fable 5 scores 1932 on GDPval-AA, our benchmark for agentic real-world work tasks, taking the #1 position and putting Anthropic models in 3 of the top 4 spots. The result was measured using adaptive reasoning at max effort, with Claude Opus 4.8 configured as the fallback model. Fable 5 falls back to Opus 4.8 on 2% of GDPval-AA tasks, with Anthropic stating that fallback occurs in fewer than 5% of sessions on average. Full benchmarks for Claude Fable 5 are in progress - we will share the full Intelligence Index and publish scores on our website shortly