Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autonomously. The headline result: on a CS research QA task, an Agentic Self-Instruct loop produces a 34-point gap between weak and strong
LLMS
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User instruction on using Grok AI for text summarization
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New Redis data type just dropped – arrays, accessible by index, with a new text grep search mechanism
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Aroma-GPT LLM Applied to Nuclear Reactor Monitoring
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Aroma-GPT: A Large Language GenAI for Nuclear Reactor Monitoring! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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GPT 5.5 vs Claude Opus 4.7 Performance Comparison Observed
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Last week I perceived GOT 5.5 as moving ahead of Claude Opus 4.7 but last 2 days GPT 5.5 seems to have dropped and Claude Opus 4.7 upped performance levels
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Building applications with AI agents using natural language
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Most people still think you need to “learn to code” before you can ship real products with AI. They’re already behind. @claudeai Code now lets non‑technical builders go from idea → working app in a single session, entirely in natural language. In our latest video, we
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Developers Switching from Claude to OpenAI GPT-5.5 and Codex
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“Developers Switch from Claude to OpenAI’s GPT 5.5 and Codex” Still a long way to go – Trust the plan!
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LLM perfectly explains tweet about prompt injection origins
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Excerpt from a Claude 4.7 Research report; prompt: “Explain the origins of prompt injection.” Surreal to see an LLM perfectly explain a tweet I made specifically about text that tricked then-SoTA LLMs, accurate down to my use of doubled exclamation points:
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AI Agents Are Multi-Model Systems Powered by Orchestration
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AI Agents ≠ single LLM They’re systems of models • General LLMs → reasoning
• Domain LLMs → expertise
• RAG → real-time data
• Tools → actions & automation
• Open-source → control & privacy Real power = orchestration of multiple LLMs Via Giuliano Liguori -
Inside the Leaked Claude Code Codebase: Key Findings
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This was one of the most interesting things I found in the leaked Claude Code codebase. I covered a lot more in my full breakdown here: https://
youtu.be/uctTuckWGEw?si
=qrhvU9uDJ5i-AB_t
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Brief ChatGPT Like a Consultant for Better Results
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💡 Most people use ChatGPT like a search box. You will get far better results by briefing it like a smart consultant.
— Bernard Marr (@BernardMarr) 4 mai 2026
In this video, I share a simple method:
✅ In one prompt, provide 3 things
✅ Context, who you are, what you are doing, who the audience is
✅ Constraints,… pic.twitter.com/TQKojW74OCMost people use ChatGPT like a search box. You will get far better results by briefing it like a smart consultant. In this video, I share a simple method: In one prompt, provide 3 things Context, who you are, what you are doing, who the audience is Constraints,