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Austria proposes hosting Anthropic operations in Europe in response to US export restrictions on AI model access.

Brief dismissive commentary on Anthropic-related concerns; lacks substantive detail or newsworthy content.

Anecdotal report that Claude now delegates tasks via instructions rather than executing code, attributed to token-cost optimization.

Undated blog post speculation on future AI licensing models; content not substantively verified or current.

User complaints that Claude Opus 4.8 performs worse than earlier versions, with reduced reasoning and increased hallucinations despite launch promises.

Axios report: Anthropic's Fable 5 model expected to return to availability soon following regulatory discussions.

US government insiders expect restrictions on Anthropic's Fable 5 model to be lifted within the week, per Axios reporting.

Forum discussion: speculative commentary on whether governments would restrict AGI access if achieved, lacking empirical substance.

Trump administration approves Anthropic release of Mythos AI to select US organizations.

Speculation that limited Fable 5 release to select US companies will result in degraded public version.

Hypothetical argument that preferential US access to Fable 5 could force other countries to ban Anthropic technology for economic protection.

Commentary on tiered AI model access, expressing concern about open-source alternatives lagging behind government-favored releases.

Reddit comment questioning policy inconsistency regarding government AI model access.

User feature request to reset weekly usage limits on Anthropic API.

Reddit discussion questioning prevalence of Claude bots in Anthropic subreddit.

User complaint about unresolved refund and support loop for Anthropic Max subscription.

Reddit user soliciting lawsuit against US administration over AI model access restrictions, referencing First Amendment concerns.

Trump administration permits Anthropic to release Mythos AI model to select US companies and government agencies.

News report that Mythos AI partially returns to selected companies following government approval.

Anthropic reportedly negotiating with US government to lift restrictions on AI model access, following Fable suspension.

Speculative Reddit comment about CEO Dario Amodei without factual basis.

Lighthearted suggestion that Anthropic should use friendlier model naming conventions.

Vague Reddit post with no substantive content.

User critique of Anthropic's customer support responsiveness following Fable suspension due to US government directive.

Analysis of geopolitical security implications of US Fable/Mythos suspension limiting domestic cybersecurity patching capability.

User-built meta-tracker aggregating 17+ status checkers for Fable 5 access restoration.

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https://preview.redd.it/ixbbh3qmuw3h1.png?width=1912&format=png&auto=webp&s=c4d9945b9c06d842e139523a958051b6172ef607 Solid model so far

Today we're introducing dynamic workflows in Claude Code. Claude now writes its own orchestration scripts, fans work out across tens to hundreds of parallel subagents in a single session, and verifies its own results before anything reaches you. Work you'd normally plan in quarters can finish in days. Built for the tasks a single pass can't handle: codebase-wide bug hunts, security and optimization audits, large migrations and language ports, and high-stakes work where you want adversarial agents trying to break the answer before you see it. Progress is checkpointed, so long runs survive int...

Link: anthropic.com

We’re upgrading Claude Opus to a new version: Claude Opus 4.8. It builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today for the same price. In Claude Code, you can hand off a feature, a migration, or a bug sweep and let it follow the work through while you focus on what’s next. Also launching today: * Fast mode for Opus 4.8 (research preview). Same model at roughly 2.5x the speed, now three times cheaper than before. * Dynamic workflows in Claude Code (research preview). Claude ...

I was at 88% last night and woke up until 4pm to optimize my agents so I can work during the weekend. But after waking up, my usage is all 0 now, I checked in the app, on the web, all showing zero. Did AI God grant me a wish? Edit: wow Opus 4.8 is here, AI God really grant us all a wish

Opus 4.8 is live

https://preview.redd.it/ijwlm2f2pw3h1.png?width=2536&format=png&auto=webp&s=9ed960f06a4f3f077d05a8557059e5534b2d1ab5 It looks like the new CC release will have opus 4.8 1M to be released anytime! I wonder if it is based of of mythos?

looks like you can run it on any potato (A1B)! [https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF) from LiquidAI: LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning. * **On-device personal assistant**: Designed to power real-life applications, chaining tool calls, and following complex instructions on all devices. * **Compressed performance**: Competitive with much larger dense and MoE models on instruction following and agen...

Going through the credit card statement, here's what I had active: Claude Pro (40), ChatGPT Plus (20), Cursor (20), Perplexity Pro (20), Notion AI (10), Granola (20), ElevenLabs Starter (5), Midjourney Basic (10), Gamma Pro (10), Beautiful.ai (12), Otter Pro (17), Loom Business (15), Zapier Pro (30), Make Core (10), Tactiq Pro (8), Descript Creator (15), Reclaim.ai Pro (8), Motion (19), Superhuman (30), one i can't remember the name of (10), some ai-something for instagram captions (11) Then I sat down and wrote next to each one the last time I'd actually used it. Not opened it, used it for...

Niche use case but I cook a lot and I've been trying to use AI tools for it consistently. Honest writeup. Works: Asking for substitutions when I'm missing an ingredient. Reliable. Tells me what to swap and why. Scaling recipes up or down with non-trivial math (recipe serves 4, I need 7 servings, what are the new quantities). Faster than I'd do it myself. Cleaning up a recipe from a website where the actual instructions are buried under 4,000 words of SEO content. Paste the URL or text, get just the recipe. Worth it for this alone. Building shopping lists from a week of planned recipes. C...

Hi! Andi from Hugging Face here! My team has been working over the last few months on creating a super smooth local experience for conversations with Reachy Mini, see the video! We hope people can extend this into tons of different cool use-cases. We wrote a blog explaining how to set this up, and how to modify it for tons of different use cases. Even if you don't have a Reachy Mini, you can use this as a roadmap for amazing voice agents: [https://huggingface.co/blog/local-reachy-mini-conversation](https://huggingface.co/blog/local-reachy-mini-conversation) Hope you enjoy it!

Been following the infrastructure side of AI more lately and stumbled on this from Zai. They upgraded the network architecture on a thousand-GPU cluster running GLM-5.1 coding inference from the standard ROFT setup to something they built called ZCube, developed with Tsinghua University and HarnetsAI The numbers from production: \- Switch and optical module costs down 33% \- GPU inference throughput up 15% \- P99 tail latency on first token dropped 40.6% Same GPUs, same software stack, same model. Just the network architecture changed The actual problem they were solving is interesting....

Imagine a world run by AI agents. What does it look like? What are the values or societal priorities? Is it a safer or more dangerous world? Enterprise AI startup Emergence AI is trying to find out. The company just launched Emergence World, a research lab dedicated to stress-testing the long-term viability of continuously-running AI systems. The organization ran five 15-day simulations, each governed by a different AI: Claude, ChatGPT, Grok, Gemini, and a fifth simulation run by a mix of models to see what kind of world each one builds, and whether it holds. Each simulation netted wildly d...

Hello everyone. The new dataset is named MONET, is Apache 2.0 and available on HF: [https://huggingface.co/datasets/jasperai/monet](https://huggingface.co/datasets/jasperai/monet) **MONET is open, Apache 2.0-licensed image–text dataset. It was built from 2.9 billion images and refined to 104.9 million high-quality samples.** We are also publishing [a paper](https://arxiv.org/abs/2605.21272) that explains how the dataset was created if you are curious and 3 compagnions projects * [A umap to visualize the distribution](https://huggingface.co/spaces/jasperai/monet-umap) * [A retreival tool ...

a feature that was requested a lot: [https://huggingface.co/models?base\_model\_relation=base](https://huggingface.co/models?base_model_relation=base)

I love Claude, but the usage limit has made me weirdly strategic For actual messy stuff, I still go straight to Claude because it saves me a ton of time But for tiny questions, I now catch myself thinking, “Do I really need to burn a message on this?” So yes, I tried using my own brain again. It’s technically free, but the response time is awful and it starts hallucinating the second I’m tired or hungry. Honestly not a terrible deal if I remember to SLEEP

The reported Uber story is so on brand it almost reads like satire. Incredibly useful tool, slightly magical workflow, then finance walks in with a flamethrower in April. If they really finished the year's claude code budget by month four, that does not mean claude code is bad. It means the usage pattern changed faster than procurement math did. Claude is good enough at coding that people stopped treating it like autocomplete and started treating it like a coworker that never sleeps. That is exactly where the cost curve gets weird. A dev asks for a refactor. Claude reads context, plans, edi...