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NLP Highlights NLP Highlights
03:27
  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
MLOps.community MLOps.community
03:27
  1. 1 Logs Are All You Need: Rethinking Observability with AI Agents
  2. 2 AI Is Fast. AI Projects Are Slow. Let's Fix That.
  3. 3 Architecting Modern AI Systems: Platforms, Agents, and Integration
  4. 4 [Special Announcement] MLOps Community Linux Foundation
  5. 5 Inside Just Eat's AI Lab: Voice Agents & Agentic Commerce
  6. 6 Autonomous Agents at Work: From OpenClaw Hype to Enterprise Reality
  7. 7 Agents are Just While Loops
  8. 8 The Latency Goldilocks Zone Explained
  9. 9 Building MCP Before MCP Existed: Inside Despegar's Sofia Agent
  10. 10 Voice Agent Use Cases
  11. 11 The Creator of Superpowers: Why Real Agentic Engineering Beats Vibe Coding
  12. 12 It's 2026, and We're Still Talking Evals
  13. 13 Why Agents are Driving Software Development to the Cloud
  14. 14 The Modern Software Engineer
  15. 15 We Cut LLM Latency by 70% in Production
Gradient Dissent: Conversations on AI Gradient Dissent: Conversations on AI
03:27
  1. 1 He Raised $70M to Cure Every Disease With AI | Samuel G. Rodriques, Edison Scientific
  2. 2 Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve
  3. 3 Why Netflix, Uber, and Spotify Never Lag: The Database Nobody Talks About | Aaron Katz
  4. 4 The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom
  5. 5 What a $42B Software Co. Really Spends on AI Tools
  6. 6 Inside the $41B AI Cloud Challenging Big Tech | CoreWeave SVP
  7. 7 Why Physical AI Needed a Completely New Data Stack
  8. 8 The Engineering Behind the World’s Most Advanced Video AI
  9. 9 The CEO Behind the Fastest-Growing AI Inference Company | Tuhin Srivastava
  10. 10 The Startup Powering The Data Behind AGI
  11. 11 Arvind Jain on Building Glean and the Future of Enterprise AI
  12. 12 How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski
  13. 13 GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development
  14. 14 From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey
  15. 15 Inside Cursor: The future of AI coding with Co-founder Sualeh Asif
Geomob Geomob
03:27
  1. 1 Ken Field and Ian Muehlenhaus: A Map a Day with AI
  2. 2 Elena Field: British Antarctic Survey
  3. 3 Tom Foxley: Modelling Bat Distributions
  4. 4 Christian Rouffaert: Teragence
  5. 5 Ed/Steven: Geomob Cologne and Berlin Summary
  6. 6 Annie Reardon-Smith : GEO Business London, June 3-4, 2026
  7. 7 Ed Parsons & Rollo Home: GeoFutures - British Cartographic Society Event
  8. 8 Benjamin Trigona-Harany: Mapping Ottoman Transportation Networks
  9. 9 Prof. David Unwin: Geospatial Origins: Geography Quantitative and GIS
  10. 10 Ben Abelshausen: Geomob Belgium and the Bike Data Project
  11. 11 Jeremy/Steven: Geospatial Origins (1)
  12. 12 Keiko Nomura: viewtif, A Tool for Visualizing Geospatial Data"
  13. 13 Ed/Steven: Geomob Berlin summary, vibe coding and more
  14. 14 Rhiannon Price and Bill Greer: The Common Space Initiative
  15. 15 Dennis Bauszus: UK bidding for FOSS4G27
Data Skeptic Data Skeptic
03:27
  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
03:27
  1. 1 The propaganda algorithm (Ep. 308)
  2. 2 AI tips & tricks (Ep. 307)
  3. 3 AI and videogames: Conversational NPCs (Ep. 306)
  4. 4 AI and videogames (Ep. 305)
  5. 5 Europe, wake up! You Can't Be a Superpower on Someone Else's Servers (Ep. 304)
  6. 6 Social media is an ant mill (Internet is a disaster) (Ep. 303)
  7. 7 About Apple's Privacy (Ep. 302)
  8. 8 Productivity is the new data breach (Ep. 301)
  9. 9 Programmable Money: The Cage They'll Call Convenience (Ep. 300)
  10. 10 There Is No AI. There's a Stateless Function on 10,000 GPUs Pretending to Know You (Ep. 299)
  11. 11 Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB]
  12. 12 Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 297) [RB]
  13. 13 AGI: The Dream We Should Never Reach (Ep. 296)
  14. 14 When Data Stops Being Code and Starts Being Conversation (Ep. 297)
  15. 15 Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
Daily Dose of Data Science Daily Dose of Data Science
03:27
  1. 1 Introduction to Deep RL and DQN
  2. 2 Function Approximation
  3. 3 Model-Free Learning
  4. 4 Hermes Agent Masterclass
  5. 5 Bellman Equations and Dynamic Programming
  6. 6 Markov Decision Processes and Value Functions
  7. 7 How to Beat GRPO Without Touching Model Weights
  8. 8 How Top AI Labs Are Building RL Agents in 2026
  9. 9 Foundations of Reinforcement Learning
  10. 10 Reinforcement Learning Course
  11. 11 How We Cut Our Claude Code Token Usage 2.8x!
  12. 12 Diffusion LLMs from the Ground Up: Training, Inference, and Practical Engineering
  13. 13 72 Techniques to Optimize LLMs in Production
  14. 14 10 Must-use Slash Commands in Claude Code
  15. 15 Build Agents That Never Forget
AI Accelerator Institute AI Accelerator Institute
03:27
  1. 1 5 questions AI agent vendors hope you don't ask
  2. 2 6 things to fix before RLHF turns your biases into features
  3. 3 Is multi-turn reasoning broken?
  4. 4 The AI-first GTM strategist: agents, workflows, and knowing when to stop
  5. 5 The 3 reasons your AI never makes it to production
  6. 6 AI agents keep breaking in production. Here's why nobody's fixed it yet
  7. 7 Is your AI is evaluating you?
  8. 8 Your data engineers may be more influential than you think
  9. 9 The future AI team: What enterprise AI organizations may look like by 2030
  10. 10 8 ways self-evolving AI agents are about to change how we build software
  11. 11 Becoming AI ready: Building a company with 12 AI agents as my first hires
  12. 12 7 signs your AI agent system needs to start building its own tools
  13. 13 5 ways to prepare for physical AI, today
  14. 14 What's shaping frontier AI in 2026? Find out in London, May 21st
  15. 15 The rise of agent experience (AX)
KnowTechie AI KnowTechie AI
03:27
  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
AIModels.fyi AIModels.fyi
03:27
  1. 1 Can your AI agent actually learn from its mistakes or just keep repeating them?
  2. 2 Can your AI agent remember your secrets without the cloud ever seeing them?
  3. 3 Can we build elite search agents without the massive industrial RL pipelines?
  4. 4 Xiaomi just open-sourced a 1T-parameter model and almost nobody noticed
  5. 5 The prompt isn't hiding inside the image
  6. 6 Google’s Best Open Model Yet Has a Memory Problem
  7. 7 Meta traded its biggest community asset for a commerce engine
  8. 8 Netflix's VOID shows video editing has finally learned the laws of physics
  9. 9 Why wait until the end to realize your model’s code won’t actually run?
  10. 10 Why pay for proprietary search APIs when you can synthesize research agents offline?
  11. 11 Can you *really* train AI to "get" videos just by showing it a million of them?
  12. 12 Can AI *really* research like us? This new framework puts it to the test.
  13. 13 Can an AI *finally* react like a real person during a video call?
  14. 14 Model of the Month: chatterbox-turbo
  15. 15 Can text *finally* make robots dance exactly how we want them to?
Timescale Blog Timescale Blog
03:27
  1. 1 The Engineering Calendar Is the Database Bill Nobody Tracks
AINOW AINOW
03:27
  1. 1 Nurses Sound Alarm as ‘Uber for Nursing’ Apps Push to Deregulate Healthcare
  2. 2 ‘Uber for nurses’: gig-work apps lobby to deregulate healthcare, report finds
  3. 3 ‘Safety first’ puts Anthropic ahead in game of AI spin
  4. 4 The Great AI Grift
  5. 5 AI Giants Go on Charm Offensive to Avert Public Backlash
  6. 6 U.S. military is using AI to help plan Iran air attacks, sources say, as lawmakers call for oversight
  7. 7 The one question everyone should be asking after OpenAI’s deal with the Pentagon
  8. 8 Iran and AI on the battlefield
  9. 9 Can Anthropic’s AI Claude be trusted in combat? | The Take
  10. 10 Key Questions on the Role of Technology in the Expanding Middle East War