Did you look at the reasoning trace? I'm curious whether it did a wide scan and saw that suspicious line, or whether it reasoned from the symptoms to that as a cause. A lot of bugs can be proven incorrect locally, and LLMs are great at that
LLMS
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AI Soulja Boy Phone Demo Impresses with Responsive Conversation
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Not only do I kind of love this ad, but I just had a 3min conversation with AI Soulja Boy at that phone number, and it actually made me laugh out loud twice.
— Allie K. Miller (@alliekmiller) 19 février 2026
Very responsive, perfect demonstration of the tech, passed my initial QA testing. https://t.co/OwhULR0OfiNot only do I kind of love this ad, but I just had a 3min conversation with AI Soulja Boy at that phone number, and it actually made me laugh out loud twice. Very responsive, perfect demonstration of the tech, passed my initial QA testing.
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LLM-assisted development risks and prevention strategies
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Mate I'm well aware of that risk, you can read some my thoughts about LLM-assisted development here: https://
honnibal.dev/blog/llm-style
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…. Deleting my home directory would definitely be inconvenient so I'd like to take steps to prevent it. -
Framework for effective AI prompting
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The difference between these prompts and random AI use: → You give it a role with real stakes
→ You force it to be honest, not polite
→ You ask for specific output, not general advice
→ You treat it like a senior expert, not a search bar That's the whole framework. -
Phoenix-4 Behavioral Model Advances Conversational AI Dynamics
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What makes Phoenix-4 interesting is not real-time rendering at 40 FPS, but the behavioral model behind it.
— Antonio Grasso (@antgrasso) 19 février 2026
Full-duplex listening, explicit emotional control, and independently generated listening states bring conversational AI closer to real human dynamics.@tavus partner. https://t.co/Nd4PIPZFtMWhat makes Phoenix-4 interesting is not real-time rendering at 40 FPS, but the behavioral model behind it. Full-duplex listening, explicit emotional control, and independently generated listening states bring conversational AI closer to real human dynamics. @tavus partner.
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Google’s multi-agent AI framework showcased
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Holy shit… Google just published one of the cleanest demonstrations of real multi-agent intelligence I’ve seen so far. Not another “look, two chatbots are talking” demo. An actual framework for how agents can infer who they’re interacting with and adapt on the fly. The
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Elon Musk: Ask Grok not yet on version 4.20, update soon
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Ask Grok is not yet on the 4.20 version. Should happen within a day or two.
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Identical agents with random expertises may converge via Grok
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The agents are actually identical, the names are whimsically applied and their “expertises” are random at inference start. However, there could be a personality convergence and subsequent sticking due to Grok reading about them on 𝕏.
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Lex interviews Steinacker: GPT 5.3 Codex vs Claude Opus comparison
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这是前几天 Lex 访谈 @steipete 的片段，bro 真的端水大师。
— 艾略特 (@elliotchen100) 19 février 2026
从 1:38:52 开始讲 GPT 5.3 Codex vs Claude Opus 4.6。
这期是 Peter 去 OpenAI 官宣前的采访，但从语气看，他那时大概率已经决定去 OpenAI 了。
也正因为这样，他在对比 Codex 和 Opus… https://t.co/dNgIOTOhMI这是前几天 Lex 访谈 @steipete 的片段，bro 真的端水大师。 从 1:38:52 开始讲 GPT 5.3 Codex vs Claude Opus 4.6。
这期是 Peter 去 OpenAI 官宣前的采访，但从语气看，他那时大概率已经决定去 OpenAI 了。
也正因为这样，他在对比 Codex 和 Opus -
Gemini 3.1 Pro Preview confirmed for today
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Gemini 3.1 Pro Preview today confirmed. Would be breaking
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