Can you have one more option: partial? It really depends on the risk factor- what logic you’re touching, how far down the stack.
RESEARCH
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Dense Task Experts in Pretrained Neural Networks Thickets
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RL is no longer needed? "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" This paper argues that large pretrained models don’t sit at a single optimal set of weights but inside a dense “thicket” of nearby task-specific experts. So once pretraining is
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Neural Cellular Automata Pre-Training for Language Models
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Pre-Pre-Training on Neural Cellular Automata? This paper argues that LLMs may not need human text to learn core thinking machinery. So by first training on synthetic neural cellular automata, the model learns transferable rule-and-pattern inference that speeds up and improves
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One person cured cancer with $3,000 and ChatGPT subscription.
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$3,000 and a ChatGPT subscription cured cancer That’s what it cost one person to do what used to require a full oncology research lab, institutional funding, and years of grant applications. The DNA sequencing was $3,000. The protein structure prediction (AlphaFold) is free.
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Two Fast LLM Inference Optimization Techniques Explained
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Two different tricks for fast LLM inference https://
buff.ly/FYkJWvm
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
FlowRVS: Language-Guided Video Object Segmentation
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What if AI could precisely segment any object in a video, guided only by your natural language description? A joint effort by SGIT AI Lab, UC San Diego, HKUST, UTokyo, Cambridge, Zhejiang University of Technology, and Baidu presents FlowRVS. Instead of finding then
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Deep Agents: Beyond Simple LLM Tool-Calling Loops
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Most “AI agents” today are just LLMs calling tools in a loop. LLM → Tool → LLM. That works for simple tasks. But it breaks when workflows become long-running, multi-step, or stateful. A new open-source project from LangChain — Deep Agents — explores a better architecture
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Scaling alone insufficient for AGI development
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FACT: The hypothesis that “Scaling is all you need” for AGI has been the costliest mistake in scientific history.
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AlphaFold Recognized as Greatest AI Achievement for Future Generations
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We will look back on AlphaFold as one of the greatest things to come from AI. Will keep giving for generations to come.
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Claude Code Generating Claude Code: Anthropic’s Future Implications
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What happens to Anthropic when anyone can use Claude Code to generate Claude Code?