Want ONE BILLION free LLM tokens a month without juggling a dozen different APIs? Now you can *legally* unlock that massive inference capacity by combining the free tiers of Google, Groq, SambaNova, Mistral, and GitHub Models. The only problem is the headache of managing all
SOFTWARE
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OpenAI for self-improving tax agents: A revolutionary approach to tax administration.
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OpenAI for self-improving tax agents:
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WordPress categories covering AI topics
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Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026Web designers after reading this:
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Codex for parallel browser-using subagents
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Codex for parallel browser-using subagents: https://t.co/Iqa3RgcBwD
— Greg Brockman (@gdb) 27 mai 2026Codex for parallel browser-using subagents:
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5-second video generation in 4.2s on single Blackwell GPU open-sourced
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You should read this thread.
— NVIDIA AI (@NVIDIAAI) 27 mai 2026
It used to take about 25 seconds to generate a 5-second video on 8 Blackwell GPUs. The legends at @haoailab brought that down to just 4.2 seconds on a single Blackwell GPU… and then open sourced the tech behind it. https://t.co/egQnhx0N1eYou should read this thread. It used to take about 25 seconds to generate a 5-second video on 8 Blackwell GPUs. The legends at @haoailab brought that down to just 4.2 seconds on a single Blackwell GPU… and then open sourced the tech behind it.
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Fleet AI Agents Now Capable of Secure Code Execution and Analysis
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Fleet agents can now securely write and run code. With computer use in LangSmith Fleet, agents get isolated execution environments. Analyze data, transform files, generate & write code, and run shell commands all within a secure virtual computer. Now in public beta.
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Opus 4.7 degradation suggests imminent Anthropic model release
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There must be another Anthropic model release coming out soon. Opus 4.7 has been performing noticeably poorly for 2 days now, and temporary model degradation has preceded a new Anthropic model release for several releases now.
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AI Encoder Tokenizer Performance: 5× Latency Improvement
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At production input lengths, the encoder cuts p50 latency by roughly 5× vs. HuggingFace tokenizers, 2× vs. SentencePiece C++, and 1.5× vs. IREE C. At 514 tokens, it runs in 63 µs with zero heap allocations.
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Codex for real-time meeting transcription and Q&A
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Codex for transcribing and answering questions about a meeting in real time:
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Lyft Enhances AI Agent Development with LangGraph and LangSmith
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@Lyft accelerated agent development from 6 months to just a few weeks with LangGraph and LangSmith. Hallucinations decreased by 20% AI Resolution rate up by 16%