Yeah I quite like that, though sadly it's confusing given their previous use of that name for something quite different (a demo that included having the LLM operate a mouse end keyboard)
LLMS
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100+ Free Step-by-Step AI Agents and RAG Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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Claude kills AI wrapper SaaS with native file creation
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Anthropic just killed 1000s of AI wrapper SaaS.
— Shubham Saboo (@Saboo_Shubham_) 11 septembre 2025
Claude can now create and edit Excel files, PowerPoint decks, and PDFs directly in your browser.
Just a simple prompt and you get the actual file as output. Insane!! pic.twitter.com/v3nRdnoyG2Anthropic just killed 1000s of AI wrapper SaaS. Claude can now create and edit Excel files, PowerPoint decks, and PDFs directly in your browser. Just a simple prompt and you get the actual file as output. Insane!!
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Claude Code Deploys Real-time Protections Against Sensitive Data Leaks
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We just deployed some real-time protections to Claude Code and it's starting to flag calls that are risky! Just saw it stop an attempt to read .env.development – lots of keys in there, many of which we wouldn't want to be sent over to the LLM.
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Gemini 3 Leaks: Flash Model Outperforms Pro Version
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First Gemini 3 leaks are coming in: – 3.0 flash will be >2.5 pro.
– not this month, but very soon -
Thinking Machines’ Diverse AI Research: From Kernels to Prompts
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Wow, Thinking Machines’ research is so varied. It ranges all the way from kernel numerics to prompt engineering. I can’t imagine needing anything more to solve AI.
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Time-of-Day Effects on AI Model Performance Across Regions
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I’m in Asia right now, on the opposite schedule of almost everyone else I know using Claude Code and Codex. And I have to say, I’ve been getting way better results than when I’m in the States. Time-of-day-driven performance changes are real.
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32B Parameters Model Outperforms Larger Models Reasoning
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Just 32B parameters – proving smaller models can be smarter, beating 10x larger models with deeper reasoning
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K2 Think: Open-Source Reasoning Model 20x Faster on Cerebras
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K2 Think is now available and runs fastest on Cerebras Inference at 2,000 TPS on Cerebras – 20x faster than GPU.
— Cerebras (@cerebras) 10 septembre 2025
Launched by @mbzuai and @G42ai, K2 Think is a world leading open-source reasoning model that beats GPT OSS 120B and DeepSeek on math and reasoning. pic.twitter.com/fsRl5QhlaXK2 Think is now available and runs fastest on Cerebras Inference at 2,000 TPS on Cerebras – 20x faster than GPU. Launched by @mbzuai and @G42ai
, K2 Think is a world leading open-source reasoning model that beats GPT OSS 120B and DeepSeek on math and reasoning.