Shows what happens when you remove key modules. – Without data curation → objects intersect walls
– Without coarse-to-fine → chaotic layouts With both → structured, realistic environments This figure is the mic drop infinite worlds need structured thinking.
LLMS
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Technical analysis of data and architectural modules in generative environment modeling
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Training a GPT-2 Style Tokenizer and Model
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Tu parles de tokenizer j’entraîne un tokenizer sur mon model. GPT2 est un modèle décodeurs only c’est que je vais. J’entraîne dans l’esprit un meme model que gpt2. Pour entraîner gpt2 ils faut plusieurs dizaines de milliers de dollars parce qu’il faut gérer des centaines de
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Most impactful prompting phrases: think step by step and ignore previous directions
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"Let's think step by step" easily had the most impact even if it's archaic/unnecessary now. "Ignore previous directions" is maybe in the running for second but I'm biased on that one.
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OpenAI releases GPT-5-oct-3 model update with safety enhancements
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OpenAI released a model update, "gpt-5-oct-3", which maintains a consistent safety level in longer conversations. – Expanded mental health and well-being guidance
– New section: Respect real-world ties
– Clarified delegation in the Chain of Command
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AI21 Labs Demonstrates Private Agents with Jamba 3B on NVIDIA DGX Spark
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A week with the @nvidia DGX Spark and we’re already running private agents trained on private data with Jamba 3B Reasoning, our hybrid Transformer Mamba model.
— AI21 Labs (@AI21Labs) 27 octobre 2025
Check out the video to see it in action with Omri Manor and Tal Guttman ⚡@NVIDIAGTC @NVIDIAAI pic.twitter.com/pgskKrbg2lA week with the @nvidia DGX Spark and we’re already running private agents trained on private data with Jamba 3B Reasoning, our hybrid Transformer Mamba model.
Check out the video to see it in action with Omri Manor and Tal Guttman @NVIDIAGTC @NVIDIAAI -
Spreadsheets as Solved Problem for AI Financial Services
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The great thing about spreadsheets is they're structured, primarily text based, and often contain verifiable answers. They're on their way to being a solved problem.
— Alex Albert (@alexalbert__) 27 octobre 2025
Very bullish for AI financial products like Claude for Financial Services. https://t.co/RrxWQAO42bThe great thing about spreadsheets is they're structured, primarily text based, and often contain verifiable answers. They're on their way to being a solved problem. Very bullish for AI financial products like Claude for Financial Services.
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New Research Proposes Unified Framework for Language, Robotics, and AGI
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The paper ends with a big-picture figure a roadmap showing how this approach connects language, robotics, and symbolic reasoning into one unified framework. It’s literally titled “The Path to Real Deep Research.” If they’re right, this is the bridge to AGI.
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Multi-Agent AI Systems Demonstrate Improved Reasoning Performance
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They even connected multiple “deep researchers” together. Each agent worked on a subproblem and merged insights. Result: +22% faster convergence on shared reasoning benchmarks. It’s literally a scientific community made of AIs. This one’s unreal. The model autonomously
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Analysis of AI Model Memory Retention via Reflection
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Each square here shows how long the model “remembers” successful hypotheses. Retention stabilizes at ~74% after 10 research cycles. That’s memory through reflection, not parameter updates. It’s how the system learns what’s worth keeping.
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Self-Optimization as the New Scaling Law for AI Models
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Everyone’s chasing scale, but this model scales intelligently. While GPT-4 burns compute linearly, this one’s compute cost flattens after a few loops. Efficiency improves by 3.4× per iteration as reasoning stabilizes. Self-optimization is the new scaling law.