Why don't you just read it and see how it does? I gave it my book. It read it. Learned what I like, and how I think. Then I talked to it for many hours to have it learn how to read the news and each list. It's extremely complex at this point. Looks simple, but it is a much
AI
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Prompting vs RAG vs Training: Understanding Model Adaptation Methods
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When you paste your company data into ChatGPT, you are not retraining the model. You are giving it temporary context for that conversation.
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 1 avril 2026
Same with RAG and embeddings: you are not injecting knowledge into the model’s brain, you are giving it access to external memory it can… pic.twitter.com/KllVuKY7kTWhen you paste your company data into ChatGPT, you are not retraining the model. You are giving it temporary context for that conversation. Same with RAG and embeddings: you are not injecting knowledge into the model’s brain, you are giving it access to external memory it can search when needed. Training is the part that actually changes the model’s internal weights and reshapes how it behaves. That is why prompting is great for context, RAG is great for controllable memory, and training is best when you need the model to truly adapt to a new style, skill, or domain. Huge difference, and it matters a lot when you are deciding where to spend time and money. Curious where fine-tuning fits in this stack? I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
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llmfit tool helps match local hardware capabilities with LLM requirements
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Stop downloading LLMs your machine was never going to run.
— AlphaSignal AI (@AlphaSignalAI) 1 avril 2026
llmfit scans your hardware and tells you exactly which models will run.
It scans your RAM, CPU, GPU, and VRAM first.
Then it scores every model across four dimensions:
1. Quality, based on parameter count and… pic.twitter.com/XK5lK7yUgFStop downloading LLMs your machine was never going to run. llmfit scans your hardware and tells you exactly which models will run. It scans your RAM, CPU, GPU, and VRAM first. Then it scores every model across four dimensions: 1. Quality, based on parameter count and
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Neural Cartography: Real-time Mapping Engine with Distributed Agents
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Neural Cartography – a real-time city mapping engine powered by distributed rendering agents
— SHAHNAB AHMED (@AhmedShahnab) 1 avril 2026
Agents work in parallel. City name gets drawn in the center. Urban fabric assembles around it.
The idea behind Neural Cartography – a WebGL visualization where 7 specialized agents are… pic.twitter.com/5L7NYhvTFENeural Cartography – a real-time city mapping engine powered by distributed rendering agents Agents work in parallel. City name gets drawn in the center. Urban fabric assembles around it. The idea behind Neural Cartography – a WebGL visualization where 7 specialized agents are dispatched simultaneously to reconstruct any city from raw geospatial data, tracing roads, waterways, railways, and city boundaries in real-time – right in your browser. #CreativeCoding #ThreeJS #ReactThreeFiber #DataVisualization #Geospatial #AgenticAI @reactthreefiber @threejs #builders [Translated from EN to English]
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Idea for Using Claude Code to Interview the Designer
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I’m building several apps right now with Claude Code, and this trick has been useful: After you describe your app idea to an LLM (ChatGPT, Grok, etc.), ask it to interview you. Have it generate follow-up questions about features, edge cases, and things you didn’t think through. Go
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Frontier Data and Evaluation: Essential Infrastructure for Creative AI
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Frontier data and evaluation is the infrastructure the creative AI space desperately needed.
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Contra Labs: Frontier Data and Evaluation Lab for Creative AI
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Models do not improve without better judgment.
— AI Highlight (@AIHighlight) 1 avril 2026
Everyone is training models.
Almost no one has access to real creative taste. @Contra Labs is where that judgment comes from. https://t.co/5sjl04bsIeModels do not improve without better judgment. Everyone is training models. Almost no one has access to real creative taste. @Contra Labs is where that judgment comes from. ben (@contraben) Introducing Contra Labs. The first frontier data and evaluation lab for Creative AI. — https://nitter.net/contraben/status/2039021014244262000#m
→ View original post on X — @aihighlight, 2026-04-01 11:46 UTC
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Autonomous vehicles as an evolution of AI capability
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There are several driving around Austin with no humans inside already. Many more on the way. AI always starts worse than a child and keeps getting better until it beats the best human.
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ASML’s Journey to Europe’s Most Valuable Tech Company
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Key takeaways: The science was clear, but the market justification took years. Despite delays, they never lost hope in a project that was win or die for the company. ASML is now Europe’s most valuable tech co ($525B+).
→ View original post on X — @wellingmax, 2026-04-01 11:32 UTC
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ASML’s EUV Bet: Innovation Before AI Necessity
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Hindsight is a luxury, but the biggest innovations are rarely obvious at the start.
— Max Welling (@wellingmax) 1 avril 2026
I sat down with former @ASMLcompany President Martin van den Brink to discuss how they bet the company on EUV technology long before the AI boom made it essential. pic.twitter.com/vPR8fhX7Z9Hindsight is a luxury, but the biggest innovations are rarely obvious at the start. I sat down with former @ASMLcompany President Martin van den Brink to discuss how they bet the company on EUV technology long before the AI boom made it essential.
→ View original post on X — @wellingmax, 2026-04-01 11:32 UTC