How AI Agents Could Change Investing
Frank Long breaks investment decisions into information-gathering, analysis and action, and explains how agents fit alongside code and people.
One-sentence takeaways and concise summaries of important AI videos.
How AI Agents Could Change Investing
Frank Long breaks investment decisions into information-gathering, analysis and action, and explains how agents fit alongside code and people.
Secure and Durable AI Agent Workflows
Kim Maida and Mason Egger demonstrate scoped agent credentials, user delegation and durable execution in an expense workflow.
Igor Pogany on AI-Assisted Video Animation
Igor Pogany outlines his team’s workflow for generating and reviewing video animations.
Alexander Shevchenko on Applied AI for Finance
Alexander Shevchenko describes Ramp’s applied research on finance models and agent systems.
Alex Finn Builds a Game with AI Tools
Alex Finn demonstrates building and refining a game with AI coding and asset tools.
Dillon Rolnick on Open AI Agent Foundations
Dillon Rolnick argues that businesses should build AI agents on foundations they can control.
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.
How OpenClaw Knowledge Organizes Agent Memory
The ClawCast team explains an optional agent memory system that organizes information into linked entities and keeps it current.
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.