Igor Pogany on AI-Assisted Video Animation
Igor Pogany outlines his team’s workflow for generating and reviewing video animations.
One-sentence takeaways and concise summaries of important AI videos.
Igor Pogany on AI-Assisted Video Animation
Igor Pogany outlines his team’s workflow for generating and reviewing video animations.
Alex Finn Builds a Game with AI Tools
Alex Finn demonstrates building and refining a game with AI coding and asset tools.
Greg Isenberg on Building Businesses in an AI World
Greg Isenberg discusses possible sources of defensibility for businesses in an AI-driven economy.
Pim de Witte on Training Robots with Video Games
Pim de Witte describes training action models on video-game footage and player inputs.
Mo Bitar Tests AI Reasoning Effort Levels
Mo Bitar informally compares AI effort levels across coding and video-generation tasks.
Olivio Sarikas on AI and Independent Games
Olivio Sarikas weighs AI’s creative potential against copying and automated game spam.
Matthew Berman on Weight Space Programming
Matthew Berman explains experiments in inspecting and editing neural-network weights with language models.
Nick Saraev on Local AI Compute and Work
Nick Saraev discusses local AI computing access and the possible effects of AI on work.
Nate B. Jones on Measuring AI Agent Value
Nate B. Jones argues that AI agents should be evaluated by the value of the work they complete.
Mo Bitar on AI Tools and a Security Incident
Mo Bitar comments on a reported security incident and the access given to internal AI tools.
Richard Ngo on AI Reliability and Safety
Richard Ngo discusses uneven AI capabilities and argues for clearer concepts and stronger coordination in AI safety.
Ray Fernando Reviews an AI-Built App for Security
Ray Fernando reviews an AI-built PDF app and discusses security checks and responsible reporting.
Pierce Freeman and Richard Diehl Martinez discuss a silent speech wearable and the technical and practical questions it raises.
Nathaniel Whittemore examines personal agent economics and debate around research into AI model improvement.
Kristian Fagerlie Reviews AI Midterm Forecasts
Kristian Fagerlie reviews his AI model’s midterm forecasts and compares them with prediction-market estimates.
Don't Approve the AI Model. Approve the App - Doneyli De Jesus, Langfuse
Doneyli De Jesus describes how a bank can evaluate and gate AI applications using its own data and domain-specific requirements.
Deepseek is Actually Redefining Harnesses!
AI Code King examines seven creator mode plugin prompts and draws lessons for specifying and refining agent-built interfaces.
Raj Bakhru on AI Document Pipelines
Raj Bakhru and Adit Abraham discuss building AI systems on large collections of financial documents.
Mitchell Troyanovsky on Making AI Agents Reliable at Work
Mitchell Troyanovsky argues that consistent processes and behavior supervision help organizations trust AI agents at scale.
Theo Browne on Using AI Agents to Improve Interface Design
Theo Browne describes using iterative AI review to refine an interface and evaluate agent tool descriptions.