GPT-5.4 Thinking and GPT-5.4 Pro are rolling out now in ChatGPT. GPT-5.4 is also now available in the API and Codex. GPT-5.4 brings our advances in reasoning, coding, and agentic workflows into one frontier model.
LLMS
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GPT-5.4 Thinking & Pro boosts coding, reasoning, and agent use
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BOOOOM! Introducing GPT-5.4 Thinking & Pro in Codex, API & ChatGPT It combines GPT-5.3-Codex-level coding with stronger reasoning, better knowledge-work generation, native computer use for agents, and up to ~1M token context! > Tool search cuts token usage by ~47% on
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Chatterbox by Resemble: Open-source voice cloning with 5-second audio.
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Chatterbox by Resemble. Open-source, clone with ~5sec of audio.
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Man Builds Camera Hat, Grok Explains It to a Nine-Year-Old
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This guy built a hat with cameras.
— Robert Scoble (@Scobleizer) 5 mars 2026
What does it all mean? I asked Grok to explain it like if I was a nine-year-old: https://t.co/yjJWALOLqV
Helping translate nerd to English. 🙂 https://t.co/dXH0QEditSThis guy built a hat with cameras. What does it all mean? I asked Grok to explain it like if I was a nine-year-old: https://
x.com/i/grok/share/0
7288a1006aa4d20958b173fd3a64315
… Helping translate nerd to English. 🙂 -
Grok AI Feature Available for Premium Subscribers Only
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20 years of Yamanaka stem cell factor research culminates in 2 conditional approvals for heart disease and Parkinson's disease in Japan https://
sciencedirect.com/science/articl
e/pii/S1934590926000731?viaihub
… by Shinya Yamanaka @CellStemCell https://
science.org/content/articl
e/stem-cell-therapies-come-age-two-conditional-approvals-japan
… @ScienceMagazine -
Debating AI-assisted coding vs. waiting for new model release
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Debating whether to keep vibe coding or just wait for 5.4 to drop.
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Intelligent Compute Allocation for Agent Test-Time Scaling
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Test-time compute scaling for agents isn’t just running multiple full trajectories and picking a winner. Duplicate a 50–150 step workflow and you multiply tool calls, latency, and cost.
— AI21 Labs (@AI21Labs) 5 mars 2026
Our take: allocate compute at high-uncertainty steps + use strong reducers to close the… pic.twitter.com/IG4Q240iTrTest-time compute scaling for agents isn’t just running multiple full trajectories and picking a winner. Duplicate a 50–150 step workflow and you multiply tool calls, latency, and cost. Our take: allocate compute at high-uncertainty steps + use strong reducers to close the
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Open Agent Skills Ecosystem Boasts 85,000+ AI Skills
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An open agent skills ecosystem: (85,000+ skills and growing)
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MCP vs. Skills for AI Agents: A Technical Breakdown
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MCP vs. Skills for AI agents, clearly explained!
— Akshay 🚀 (@akshay_pachaar) 5 mars 2026
People treat MCP and Skills like they're the same thing.
They're not.
Conflating them is one of the most common mistakes I see when people start building AI agents seriously.
So let's break both down from scratch.
Before MCP… pic.twitter.com/QVJm6RHM0bMCP vs. Skills for AI agents, clearly explained! People treat MCP and Skills like they're the same thing. They're not. Conflating them is one of the most common mistakes I see when people start building AI agents seriously. So let's break both down from scratch. Before MCP
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Evolution Strategies as an Alternative Method for Fine-Tuning LLMs
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RL isn’t the only way to fine-tune LLMs In our most recent AI4Science talk “Evolution Strategies at Scale”, Xin Qiu (
@realVsonicV
), Principal Research Scientist and Senior Director at Cognizant AI Lab, walked through the first research showing that Evolution Strategies can be