We also found evidence for cognitive control, where models deliberately "think about" something. For instance, when we instruct a model to think about "aquariums” in an unrelated context, we measure higher aquarium-related neural activity than if we instruct it not to.
MACHINE LEARNING
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Visualizing Llama 3.1 Tensor Operations Through GGML Debug Output
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The three.js visualization parses the output of llama-cpp's ggml debug output (of unsloth llama 3.1) to directly obtain all the tensor calculations happening under the hood. Operations (MUL_MAT, ROPE, RESHAPE, ADD) are grouped into query, key, value, MLP, and residual stream
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Compute Trade-offs: Factual Knowledge vs Dense Core Efficiency
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There are two kinds of people in AI: those who are happily surprised a model would know random facts like these (worth burning compute and parameters), and those who think it's a complete waste of both for a dense core.
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Jeff Dean Praises Team Pushing Machine Learning Boundaries
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I love working with members of this team, who are pushing the boundaries of machine learning!
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DeepSeek-OCR OmniDocBench: Document Recognition Benchmark
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Detailed report + code: https://
github.com/alphaXiv/DeepS
eek-OCR-OmniDocBench/blob/main/REPORT.md
… Datasets page: http://
alphaxiv.org/datasets/shang
hai-ai-laboratory/omnidocbench
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Which open-source model is criminally underrated?
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Which open-source model is criminally underrated?
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Evolution of AI: From Chatbots to Computer Environments
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2023 was the year of the chatbot.
2024 was the year of RAG and finetuning.
2025 has been the year of MCP and tool use.
2026 will be the year of the computer environment and filesystem. -
Fine-tuning and Reinforcement Learning for LLMs Course Launch
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An exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by @realSharonZhou, VP of AI at @AMD. Available now at https://t.co/R0m408f8CA.
— Andrew Ng (@AndrewYNg) 28 octobre 2025
Post-training is the key technique used by frontier labs to turn a base LLM–a model trained on… pic.twitter.com/79nnfAc63AAn exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by @realSharonZhou
, VP of AI at @AMD
. Available now at http://
DeepLearning.AI. Post-training is the key technique used by frontier labs to turn a base LLM–a model trained on -
IBM SPSS Statistics Named Top 50 Analytics Product by G2
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We're honored that IBM SPSS Statistics was named one of the Top 50 Analytics Product in @G2dotcom’s 2025 Best Software Awards.
— IBM Data, AI & Automation (@IBMData) 28 octobre 2025
Learn how it turns complex data into actionable insights, from forecasting to supply chain efficiency: https://t.co/UnRYbJRSXr pic.twitter.com/YeIS7lner1We're honored that IBM SPSS Statistics was named one of the Top 50 Analytics Product in @G2dotcom’s 2025 Best Software Awards. Learn how it turns complex data into actionable insights, from forecasting to supply chain efficiency: ibm.co/6018Bzp9a
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Humachineology: Designing Human-Machine Integration and Optimization
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Humachineology provides an innovative approach for designing, creating, and optimizing the interaction and integration of humans and machines.