AI

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Simon Willison's Weblog Simon Willison's Weblog
01:28
  1. 1 datasette-ip-rate-limit 0.1a0
  2. 2 Welcome to the Datasette blog
  3. 3 Quoting Boris Mann
  4. 4 CSP Allow-list Experiment
  5. 5 datasette 1.0a29
  6. 6 Quoting Mo Bitar
  7. 7 Quoting Mitchell Hashimoto
  8. 8 llm 0.32a2
  9. 9 Thoughts on GitLab's workforce reduction" and "structural and strategic decisions"
  10. 10 Quoting James Shore
  11. 11 Your AI Use Is Breaking My Brain
  12. 12 Using LLM in the shebang line of a script
  13. 13 Learning on the Shop floor
  14. 14 Quoting New York Times Editors’ Note
  15. 15 Quoting Andrew Quinn
Qdrant - Vector Database Qdrant - Vector Database
01:28
  1. 1 TurboQuant in Qdrant
  2. 2 How Sapu Indexed 28 Million PubMed Abstracts to Accelerate Cancer Research with Qdrant
  3. 3 Qdrant 1.18 - TurboQuant
  4. 4 Presenting Sentinel - Gen AI Zürich Hackathon Winner
  5. 5 Now Available on Qdrant Cloud: GPU Indexing, Multi-AZ, and Audit Logging
  6. 6 How Data Graphs Built a True Hybrid Graph RAG Platform
  7. 7 Announcing Vector Space Day 2026 in San Francisco
  8. 8 Qdrant Skills for AI Agents
  9. 9 Master Multi-Vector Search With Qdrant
  10. 10 Start with pgvector: Why You'll Outgrow It Faster Than You Think
  11. 11 Video Anomaly Detection From Edge to Cloud With Qdrant
  12. 12 We Raised $50M to Build Composable Vector Search as Core Infrastructure
  13. 13 Qdrant Meets Google Gemini Embedding 2
  14. 14 Fine-Tuning Sparse Embeddings for E-Commerce Search | Part 4: Specialization vs Generalization
  15. 15 Fine-Tuning Sparse Embeddings for E-Commerce Search | Part 1: Why Sparse Embeddings Beat BM25
Not So Standard Deviations Not So Standard Deviations
01:28
  1. 1 190 - Indefinite Leave
  2. 2 189 - LLMs and Data Science
  3. 3 188 - Everyday Statistics Terms
  4. 4 187 - Building Robot Hilary
  5. 5 186 - Humanoid Robots
  6. 6 185 - Consultation Lessons Learned
  7. 7 184 - Unknown Unknowns
  8. 8 183 - What's an Informative Tool?
  9. 9 182 - The Best CEOs Not Named Hilary
  10. 10 181 - Welcome to the Parkerverse
  11. 11 180 - Lessons from T2
  12. 12 179 - AI Grand Strategy
  13. 13 178 - Hilary is Cranky About Everything
  14. 14 177 - We're Back!
  15. 15 176 - Is R the Worst?
NLP Highlights NLP Highlights
01:28
  1. 1 Are LLMs safe?
  2. 2 "Imaginative AI" with Mohamed Elhoseiny
  3. 3 142 - Science Of Science, with Kyle Lo
  4. 4 141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld
  5. 5 140 - Generative AI and Copyright, with Chris Callison-Burch
  6. 6 139 - Coherent Long Story Generation, with Kevin Yang
  7. 7 138 - Compositional Generalization in Neural Networks, with Najoung Kim
  8. 8 137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal
  9. 9 136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani
  10. 10 135 - PhD Application Series: After Submitting Applications
  11. 11 134 - PhD Application Series: PhDs in Europe versus the US, with Barbara Plank and Gonçalo Correia
  12. 12 133 - PhD Application Series: Preparing Application Materials, with Nathan Schneider and Roma Patel
  13. 13 132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek
  14. 14 131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski
  15. 15 130 - Linking human cognitive patterns to NLP Models, with Lisa Beinborn
MLOps.community MLOps.community
01:28
  1. 1 The Latency Goldilocks Zone Explained
  2. 2 Building MCP Before MCP Existed: Inside Despegar's Sofia Agent
  3. 3 Voice Agent Use Cases
  4. 4 The Creator of Superpowers: Why Real Agentic Engineering Beats Vibe Coding
  5. 5 It's 2026, and We're Still Talking Evals
  6. 6 Why Agents are Driving Software Development to the Cloud
  7. 7 The Modern Software Engineer
  8. 8 We Cut LLM Latency by 70% in Production
  9. 9 Getting Humans Out of the Way: How to Work with Teams of Agents
  10. 10 Fixing GPU Starvation in Large-Scale Distributed Training
  11. 11 Spec Driven Development, Workflows, and the Recent Coding Agent Conference
  12. 12 Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable
  13. 13 arrowspace: Vector Spaces and Graph Wiring
  14. 14 Agentic Marketplace
  15. 15 Durable Execution and Modern Distributed Systems
Gradient Dissent: Conversations on AI Gradient Dissent: Conversations on AI
01:28
  1. 1 Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve
  2. 2 Why Netflix, Uber, and Spotify Never Lag: The Database Nobody Talks About | Aaron Katz
  3. 3 The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom
  4. 4 What a $42B Software Co. Really Spends on AI Tools
  5. 5 Inside the $41B AI Cloud Challenging Big Tech | CoreWeave SVP
  6. 6 Why Physical AI Needed a Completely New Data Stack
  7. 7 The Engineering Behind the World’s Most Advanced Video AI
  8. 8 The CEO Behind the Fastest-Growing AI Inference Company | Tuhin Srivastava
  9. 9 The Startup Powering The Data Behind AGI
  10. 10 Arvind Jain on Building Glean and the Future of Enterprise AI
  11. 11 How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski
  12. 12 GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development
  13. 13 From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey
  14. 14 Inside Cursor: The future of AI coding with Co-founder Sualeh Asif
  15. 15 Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future
Geomob Geomob
01:28
  1. 1 Christian Rouffaert: Teragence
  2. 2 Ed/Steven: Geomob Cologne and Berlin Summary
  3. 3 Annie Reardon-Smith : GEO Business London, June 3-4, 2026
  4. 4 Ed Parsons & Rollo Home: GeoFutures - British Cartographic Society Event
  5. 5 Benjamin Trigona-Harany: Mapping Ottoman Transportation Networks
  6. 6 Prof. David Unwin: Geospatial Origins: Geography Quantitative and GIS
  7. 7 Ben Abelshausen: Geomob Belgium and the Bike Data Project
  8. 8 Jeremy/Steven: Geospatial Origins (1)
  9. 9 Keiko Nomura: viewtif, A Tool for Visualizing Geospatial Data"
  10. 10 Ed/Steven: Geomob Berlin summary, vibe coding and more
  11. 11 Rhiannon Price and Bill Greer: The Common Space Initiative
  12. 12 Dennis Bauszus: UK bidding for FOSS4G27
  13. 13 Jeremy Morley: Introducing Geospatial origins
  14. 14 Katy Whitaker: Historic England Aerial Mapper
  15. 15 Ed and Steven: A strong start to 2026
Data Skeptic Data Skeptic
01:28
  1. 1 Student Spotlight: Aaron Payne, Data Analyst
  2. 2 The Future is Agentic in Recommender Systems
  3. 3 Book Ratings and Recommendations
  4. 4 Disentanglement and Interpretability in Recommender Systems
  5. 5 Collective Altruism in Recommender Systems
  6. 6 Niche vs Mainstream
  7. 7 Healthy Friction in Job Recommender Systems
  8. 8 Fairness in PCA-Based Recommenders
  9. 9 Video Recommendations in Industry
  10. 10 Eye Tracking in Recommender Systems
  11. 11 Cracking the Cold Start Problem
  12. 12 Designing Recommender Systems for Digital Humanities
  13. 13 DataRec Library for Reproducible in Recommend Systems
  14. 14 Shilling Attacks on Recommender Systems
  15. 15 Music Playlist Recommendations
Data Science at Home Data Science at Home
01:28
  1. 1 AI and videogames: Conversational NPCs (Ep. 306)
  2. 2 AI and videogames (Ep. 305)
  3. 3 Europe, wake up! You Can't Be a Superpower on Someone Else's Servers (Ep. 304)
  4. 4 Social media is an ant mill (Internet is a disaster) (Ep. 303)
  5. 5 About Apple's Privacy (Ep. 302)
  6. 6 Productivity is the new data breach (Ep. 301)
  7. 7 Programmable Money: The Cage They'll Call Convenience (Ep. 300)
  8. 8 There Is No AI. There's a Stateless Function on 10,000 GPUs Pretending to Know You (Ep. 299)
  9. 9 Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB]
  10. 10 Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 297) [RB]
  11. 11 AGI: The Dream We Should Never Reach (Ep. 296)
  12. 12 When Data Stops Being Code and Starts Being Conversation (Ep. 297)
  13. 13 Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
  14. 14 From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294)
  15. 15 Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)
Daily Dose of Data Science Daily Dose of Data Science
01:28
  1. 1 Bellman Equations and Dynamic Programming
  2. 2 Markov Decision Processes and Value Functions
  3. 3 How to Beat GRPO Without Touching Model Weights
  4. 4 Foundations of Reinforcement Learning
  5. 5 Reinforcement Learning Course
  6. 6 How We Cut Our Claude Code Token Usage 2.8x!
  7. 7 Diffusion LLMs from the Ground Up: Training, Inference, and Practical Engineering
  8. 8 72 Techniques to Optimize LLMs in Production
  9. 9 10 Must-use Slash Commands in Claude Code
  10. 10 Build Agents That Never Forget
  11. 11 Diffusion LLMs from the Ground Up: Theory, Math, and Why They Work
  12. 12 Advisor Strategy in Agents
  13. 13 The Anatomy of an Agent Harness
  14. 14 MLOps and LLMOps: Case Studies
  15. 15 Anatomy of the .claude/ Folder
AI Accelerator Institute AI Accelerator Institute
01:28
  1. 1 Your data engineers may be more influential than you think
  2. 2 The future AI team: What enterprise AI organizations may look like by 2030
  3. 3 8 ways self-evolving AI agents are about to change how we build software
  4. 4 Becoming AI ready: Building a company with 12 AI agents as my first hires
  5. 5 7 signs your AI agent system needs to start building its own tools
  6. 6 5 ways to prepare for physical AI, today
  7. 7 What's shaping frontier AI in 2026? Find out in London, May 21st
  8. 8 The rise of agent experience (AX)
  9. 9 How observability keeps AI systems reliable at scale
  10. 10 Is this the rise of the AI scientist?
  11. 11 Are your agents quietly draining your budget?
  12. 12 AI Builders Summit: Healthcare Boston 2026
  13. 13 Agentic AI: The pathway architecture to GenAI
  14. 14 AIAI Summits, Silicon Valley 2026
  15. 15 Is the AI value gap wider than anyone is admitting?
KnowTechie AI KnowTechie AI
01:28
  1. 1 OpenAI launches ChatGPT Health: Here’s what to know
  2. 2 Google, Character.ai settle lawsuits over teen suicides
  3. 3 Deepfakes are fooling everyone—what you need to know now
  4. 4 ChatGPT becomes WebMD—40M Americans seek health advice online
  5. 5 Grok chatbot’s safety fails, releases explicit images of minors
  6. 6 AI threatens 200,000 banking jobs in Europe
  7. 7 OpenAI’s new audio device aims to reduce screen time soon
  8. 8 Meta buys another AI startup and promises to cut all ties with China
  9. 9 AI is getting a budget increase, and workers aren’t
  10. 10 AI ruined the job market, so people are using dating apps to find work
  11. 11 ChatGPT might get ads (again), and they might sit next to your advice
  12. 12 OpenAI’s new job pays $555K to stop AI from ruining everything
  13. 13 AI gets the blame for 55,000 layoffs, but CFOs are the real culprits
  14. 14 OpenAI says AI browsers are smart, helpful, and extremely gullible
  15. 15 Experts say ChatGPT Wrapped is a privacy nightmare