Laplace's demon needs to deal with a branching universe. Structures within the universe need to deal with a stochastic substrate.
MACHINE LEARNING
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Brain Nondeterminism: Redundancy and Error Correction Mechanisms
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Brains are not deterministic, but the nondeterminism is not magically adding higher powers. It is deleting bits you already computed, the brain has to combat it with redundancy and error correction.
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ChatGPT o3 solves task requiring web search and multi-hop deduction in 2m54s
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* = the answer to the next question A task meant to require web and computational search guided by multi-hop deduction starting from a partial SHA1, answered in 2m 54s by ChatGPT o3 featuring Tom Cruise and Addison Rae
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NVIDIA DeepMind Disney Partner to Train Humanoid Robots in Simulation
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🇫🇷À Vivatech, Jensen Huang a annoncé un partenariat entre NVIDIA, DeepMind et Disney.
— VISION IA (@vision_ia) 19 juin 2025
Objectif : créer la simulation physique la plus réaliste du monde… pour entraîner des robots humanoïdes.
L’IA apprend désormais dans des mondes virtuels soumis aux lois de la physique.
C’est… pic.twitter.com/o5aUkbb7prAt VivaTech, Jensen Huang announced a partnership between NVIDIA, DeepMind, and Disney. Objective: to create the world's most realistic physical simulation… to train humanoid robots. AI now learns in virtual worlds subject to the laws of physics. That's where it truly
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Computers and Brains as Mathematical Computing Systems
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Computers don't imitate brains at all. The computer is a very general mathematical idea: a system that can execute functions via arbitrary sequences of state transitions. Both brains and GPUs are in this category.
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GitHub Pull Request #38621 to Hugging Face Transformers Repository
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https://
github.com/huggingface/tr
ansformers/pull/38621
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Stanford CS336: Complete LLM Development from Data to Deployment
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Stanford CS336 – Language Modeling from Scratch Excellent new lectures on "language modelling from scratch" class from Stanford just dropped. Covers a whole LLM stack from data collection, cleaning, transformer modelling and training, evals and deployment.
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Stanford CS336 Language Modeling Course Now Available on YouTube
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Stanford CS336 – Language Modeling from Scratch, all lectures on youtube.
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Next Generation AI: From GPT2 to the 6502 Moment
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GPT2 was not super programmable yet. Even GPT4 or o3 still fall short a bit. I suspect it’s either nextgen or the one after that that will be considered 6502 in hindsight. Fully multimodal, really smart, reasoning, tool using, agentic, with memory. A first “basics” package.
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Data Wrangling Delays Business Value Creation in Data-Intensive Applications
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Get a FREE @pecan_ai DEMO here: https://
dataleadership.biz/3G2GCQY The goal of a data-intensive business application—business value creation—can be delayed by the process (data wrangling). So if the wrangling phase leads to weeks of lost time that slow down achieving the desired outcomes,