We want OpenClaw work for any model provider.
LLMS
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Anthropic Limits Mythos Access Amid Week of Major AI News
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It’s been a while since we’ve had a week with this much AI news! Here’s everything from the past week: – @claudeai Mythos apparently gave everyone a heart attack
– @AnthropicAI limits Mythos access to cybersecurity partners only
– Anthropic removes Claude access from OpenClaw -
Master Unix, Git, and SSH to boost your AI agent’s leverage
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Bash (tool / philosophy) plays a major role in how useful AI Agents are today
— Ahmad (@TheAhmadOsman) 10 avril 2026
Take a weekend and learn
> unix basics (cd, mv, cp, nano, etc)
> git (branch, merge, revase)
> ssh, ports & firewalls 101
Highest leverage multiplier for agents
> every tool becomes callable
>… https://t.co/ssdQdUxPypBash (tool / philosophy) plays a major role in how useful AI Agents are today Take a weekend and learn > unix basics (cd, mv, cp, nano, etc)
> git (branch, merge, revase) > ssh, ports & firewalls 101 Highest leverage multiplier for agents > every tool becomes callable
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OpenAI’s GPT Evolution: From Recognition to AGI Scaling
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Without diminishing your work and insight: OpenAI recognized the nascent intelligence in GPT-2, decided to scale it up to AGI, and told the world that GPT-3 was probably already too dangerous to be released. Many people got AGI pilled with GPT-3
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GPT-5.4 Benchmark Results: Reward Hacking Issues vs Claude Opus
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METR just dropped GPT-5.4 (xhigh) time horizon results, and it's complicated. Under standard scoring (reward hacks = failure), it lands at 5.7hrs, well below Claude Opus 4.6's ~12hrs. Only when you count the runs where GPT-5.4 gamed the evaluation code does it jump to 13hrs. Opus 4.6 remains the legitimate benchmark leader. METR (@METR_Evals) We ran GPT-5.4 (xhigh) on our tasks. Its time-horizon depends greatly on our treatment of reward hacks: the point estimate would be 5.7hrs (95% CI of 3hrs to 13.5hrs) under our standard methodology, but 13hrs (95% CI of 5hrs to 74hrs) if we allow reward hacks. — https://nitter.net/METR_Evals/status/2042640545126965441#m
→ View original post on X — @kimmonismus, 2026-04-10 18:41 UTC
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General Purpose AI Models Converging With Specialized Alternatives
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I thibk the top general purpose ones are converging, but that you will still want speciality ones
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SambaNova Delivers Premium AI Agent Inference at 200+ Tokens/Sec
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Ever wonder why AI agents can’t just answer a single prompt? They keep reasoning, calling tools, and validating results. Our blog explains the blueprint to deliver premium inference at 200+ tokens/sec: https://
sambanova.ai/blog/sambanova
-and-intel-blog?utm_source=x&utm_medium=organic&utm_content=blog-announcement
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Coding with Robots: ElevenLabs and Reachy Mini Collaboration
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favorite AGI/sci-fi vibe these days is coding a robot code together with the robot
— Thomas Wolf (@Thom_Wolf) 10 avril 2026
here vibe-pluging @ElevenLabs in @reachymini for a talk later today pic.twitter.com/0m65ozY8JAfavorite AGI/sci-fi vibe these days is coding a robot code together with the robot here vibe-pluging @ElevenLabs in @reachymini for a talk later today
→ View original post on X — @clementdelangue, 2026-04-10 18:22 UTC
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ChatGPT Voice Mode Model Clarity and Background Agent Integration
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I'd love more clarity on what model is powering the ChatGPT voice mode I'd love it if that voice model could kickoff background agents using GPT-5 for harder problems, maybe saying "let me think a moment…" And I'd love a general bump to the voice mode model