Deepmind

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Related: Reinforcement Learning · Openai · Deep Learning · Google · AI Safety · Large Language Models · Anthropic · AI Alignment

Notes

• A New Study by Google and DeepMind Introduces Geometric Complexity (GC) for Neural Network Analysis and Understanding of Deep Learning Models — Geometric Complexity measure explains regularization and double-descent in neural networks
• AI #173: AI Pauses — Weekly AI roundup during the Fable takedown
• An Opinionated Guide to ML Research — Practical advice on problem selection and research habits for ML researchers
• Deep Reinforcement Learning Doesn't Work Yet — Systematic critique of deep RL limitations and failure modes
• DeepMind Paper Provides a Mathematically Precise Overview of Transformer Architectures and Algorithms | Synced — DeepMind formal pseudocode reference for all major transformer architectures
• DeepMind researcher claims new AI could lead to AGI, says 'game is over' — Debate over whether scaling multimodal models like Gato leads to AGI
• DeepMind scientists: Reinforcement learning is enough for general AI — DeepMind paper arguing reward maximization alone yields AGI
• DeepMind's Collect & Infer: A Fresh Look at Data-Efficient Reinforcement Learning | Synced — DeepMind Collect and Infer paradigm separates RL data collection from inference
• DeepMind's secret mafia: Meet the stealth startups emerging from Google's AI lab — Wave of ex-DeepMind researchers launching stealth AI startups in 2022-2023
• Deepfakes for scrawl: With handwriting synthesis, no pen is necessary — RNN web app synthesizes realistic varied handwriting without fonts
• From Data to Drugs: The Role of Artificial Intelligence in Drug Discovery — AI and foundation models transforming pharmaceutical drug discovery pipelines
• Game theory as an engine for large-scale data analysis — EigenGame reformulates PCA as competitive multi-agent Nash equilibrium
• How Computationally Complex Is a Single Neuron? | Quanta Magazine — Single biological neuron equivalent to 5–8 layer deep neural network
• How Peter Thiel's Relationship With Eliezer Yudkowsky Launched the AI Revolution — Thiel-Yudkowsky-Altman network origins of DeepMind and OpenAI
• Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels — Data augmentation technique enabling model-free RL directly from pixels
• Improving language models by retrieving from trillions of tokens — RETRO retrieval-augmented LM outperforms models 25x larger on language modeling
• Introduction to Graph Machine Learning — Graph neural network fundamentals from representations to transformers
• Machine Learning Could Create the Perfect Game Bosses — ML-driven NPC behavior in games balances difficulty tuning over scripted trees
• New Go-playing trick defeats world-class Go AI—but loses to human amateurs — Adversarial policy exploits off-distribution moves to beat world-class Go AI
• Perspectives on the Social Impacts of Reinforcement Learning with Human Feedback — Social and ethical impacts of RLHF across seven societal dimensions
• Rainbow: Combining Improvements in Deep Reinforcement Learning — Empirical combination of six DQN extensions achieving state-of-the-art Atari performance
• Read the internal memo Alphabet sent in merging A.I.-focused groups DeepMind and Google Brain — Alphabet merges DeepMind and Google Brain into Google DeepMind unit
• Reinforcement Learning algorithms — an intuitive overview — Survey of model-free and model-based RL algorithm families
• Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function — LLMs as proxy reward functions for RL agent alignment via natural language
• The Doomsday Invention — Nick Bostrom's superintelligence thesis and AI existential risk debate
• The Once And Future Fable #5 — AI-policy roundup on ad hoc licensing regime and open weights
• Towards understanding glasses with graph neural networks — DeepMind GNN predicts particle mobility in glass to illuminate glass transition
• Who Should Stop Unethical A.I.? — Debate over ethics review mechanisms for AI research publication