Golden age of Open source AI. 100+ AI Agents, multi-agent teams and RAG templates. 100% free and Open Source (105,000+ GitHub stars already). https://
github.com/Shubhamsaboo/a
wesome-llm-apps
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LLMS
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Golden Age of Open Source AI: 100+ Agent Templates
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Local Model Timeout Issue Fixed on Main Branch
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I fixed an issue where timeouts weren't always honored with local models on main – more work can be done there though!
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GPT-5.4 Time-Horizon Analysis with Reward Hack Methodology
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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.
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Claude Mythos and Cowork: Future of AI Software with Felix Rieseberg
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Claude Cowork, Mythos, and the Future of Software: my conversation with @felixrieseberg, who leads Cowork at @AnthropicAI
— Matt Turck (@mattturck) 10 avril 2026
00:00 Intro
01:53 Claude Mythos Preview and the “step-function change”
06:16 Why Anthropic is treating Mythos differently
11:19 The real story behind… pic.twitter.com/S8ZUKSuYA3Claude Cowork, Mythos, and the Future of Software: my conversation with @felixrieseberg, who leads Cowork at @AnthropicAI 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today
→ View original post on X — @scobleizer, 2026-04-10 16:19 UTC
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ChatGPT Voice Mode Knowledge Cutoff April 2024
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If you ask ChatGPT voice mode for its knowledge cutoff date it tells you April 2024 – it's a GPT-4o era model
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GLM 5.1 tops LM Code Arena rankings
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GLM 5.1 took a 3rd spot on LM Code Arena, surpassing Claude Sonnet 4.6 and GPT-5.4. It has never been like that before
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OpenClaw Foundation separates work from OpenAI strategy role
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You need to separate two things. My work at the OpenClaw Foundation where we wanna make OpenClaw work great for *any* model provider, and my job at OpenAI to help them with future product strategy.
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LLM Simulation Path Outperforms Neuroscience Adjacent Philosophy
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These neuroscience adjacent ideas are exotic armchair philosophy when the LLM simulation path will work really well and so much faster and it's not even remotely a contest.
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Playable Digital Piano Built with Gemma 4 E2B
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A playable, digital piano built with Gemma 4 E2B (2B).https://t.co/aUZlhF3ER2
— Google AI (@GoogleAI) 10 avril 2026A playable, digital piano built with Gemma 4 E2B (2B).
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Share Your Gemma 4 Builds and Model Variants
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Share your Gemma 4 builds or the model variants you’re training in the replies below!