Thanks @xeophon and @natolambert for your kind words on @interconnectsai LFM2.5-1.2B-Thinking is even more impressive in terms of instruction following. Please check it out!
OPEN SOURCE
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Expert users skip basic explanations
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7/ DON'T assume I'm a beginner
— God of Prompt (@godofprompt) 2 février 2026
"Don't explain basic concepts. I'm [expert level/familiar with X]. Skip the 101 explanations."
When asking Claude about RAG systems, I don't need it to explain what embeddings are.
This unlocks the AI's full technical depth. pic.twitter.com/a6Vha11SOe7/ DON'T assume I'm a beginner "Don't explain basic concepts. I'm [expert level/familiar with X]. Skip the 101 explanations." When asking Claude about RAG systems, I don't need it to explain what embeddings are. This unlocks the AI's full technical depth.
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Ant Group Releases LingBot-World Open Source Video World Model
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Following Google's Genie 3, Ant Group released an open source alternative: LingBot-World! This video trained world model can also be steered like a game (WASD + camera), with sub-1s latency at 16fps in its real-time setup, and demonstrates coherent rollouts up to 10 minutes,
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OpenClaw Overtakes Vercel’s Next.js Framework
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The day @openclaw overtook @vercel
's nextjs has come -
Types of Algorithms for Artificial Intelligence and Machine Learning
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Types of #Algorithms for Artificial Intelligence. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Types-Artifici
al-Intel
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Python Data Science Handbook: Master Jupyter Notebooks for ML
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Python #DataScience Handbook #Jupyter Notebooks! #BigData #Analytics #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Python-Noteboo
ks
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AI Prompt for Knowledge Extraction and Analysis
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The solution:
One prompt that: > Extracts atomic knowledge units (not summaries – actual knowledge)
> Builds a knowledge graph of people, projects, concepts
> Creates a decision log with rationale
> Saves your best prompts to a library
> Analyzes your AI collaboration patterns -
Building AI Agents: Learn by Writing Code and Building Projects
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Building AI agents?
— Akshay 🚀 (@akshay_pachaar) 1 février 2026
> don’t read blogs
> don’t watch videos
> write code
> and build things from scratch
I've open-sourced 90+ projects on AI Agent, RAG, MCP, and context engineering (27k+ stars already) pic.twitter.com/bdaraBqKB4Building AI agents? > don’t read blogs
> don’t watch videos
> write code
> and build things from scratch I've open-sourced 90+ projects on AI Agent, RAG, MCP, and context engineering (27k+ stars already) -
GPT Paper-Reader at Big Data Conference Panel Discussion
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GPT Paper-Reader! @bigdataconf & Key Panel #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysOfCode
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120 GUI Python Projects Covering Data Science and Machine Learning
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120 GUI Projects in Python-220 Concepts in Python! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysOfCode https://
geni.us/Python-120