it’s fine as a component in a larger (neurosymbolic) system, which is at last what Anthropic figured out, with Claude Code. but did in fact get stuck when used on its own, as i had predicted.
MACHINE LEARNING
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AI replacing skilled radiologists? Experts share their thoughts
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Is #AI replacing the work of skilled radiologists? They give us their thoughts
by Yuxuan Wu @ConversationUK Learn more: https://
buff.ly/Ih4mStF #ArtificialIntelligence #MachineLearning #ML #DL -
Gary Marcus: Neurosymbolic AI saves deep learning from wall
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L'IA neurosymbolique sauve l'apprentissage profond de la collision contre le mur (*exactement* comme je l'ai dit dans mon article de 2022 « l'apprentissage profond heurte un mur ») Vraiment triste de voir quelqu'un d'aussi intelligent @peterwildeford confondre l'argument
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Alibaba unveils new AI chip as Nvidia access stalls
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Alibaba unveils new #AI chip as Nvidia access remains stalled
by Luna LIN @TechXplore_com Learn more: https://
bit.ly/4nHBnaN #ArtificialIntelligence #MachineLearning #ML -
Fast and High-Resolution Latent Decoding with Pixel Diffusion
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Image models usually VAE decode first, then super-res later, which is slow and mostly reconstructs rather than creates detail. This NVIDIA research makes the decoder itself a pixel diffusion model, so a 512^2
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LLM agents with evolving episodic memory: CASCADE framework
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What if your LLM kept learning after deployment—even without changing its weights? Researchers from Jilin University, King's College London, and UCL introduce CASCADE, a framework that equips LLM agents with an evolving episodic memory. It treats experience reuse like a
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10 Machine Learning Algorithms for Beginners
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10 #MachineLearning #Algorithms for Beginners
by @PythonPr #AI #ArtificialIntelligence #ML #DL -
Types of LLMs in AI Agents from @ingliguori
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Types of #LLMs in #AIAgents by @ingliguori #GenerativeAI #ArtificialIntelligence #MachineLearning #ML
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Small and specialized models will equal out
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As we get closer and closer to Small & Specialized models, it will all equal out (e.g. Qwen 3.5 27B)
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Buy GPU, run real workloads daily: top move in 2026
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The single highest-leverage move an individual can still make in 2026 is this: Buy a GPU and run real workloads on them every day. – Not rent tokens.
– Not fine-tune on someone else’s cluster.
– Own the silicon + the weights + the serving stack. I’ve been doing this since 2023