Nick Saraev on AI Bubble Claims and Model Effort
Nick Saraev questions AI bubble narratives and considers how model effort settings affect performance and cost.
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Matthew Berman on Building Personal Software With AI
Matthew Berman explores whether AI agents can make custom software practical for individual users.
AI Copium Reviews a Month of Models, Science and Security
AI Copium recaps reported AI developments across models, robotics, science and security.
Nate B Jones on AI Product Design and Ambition
Nate B Jones examines AI product design and lessons for builders from Meta’s Muse.
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Ray Fernando Tests Droid on a Blog Migration
Ray Fernando tests an AI coding agent on planning and implementing a blog migration.
Zachary Blumenfeld on Graph Engineering for AI Agents
Zachary Blumenfeld explains how explicit graphs can guide AI agents through repeatable, auditable workflows.
Taste Skill for AI Website Design
AICodeKing tests a design skill that guides AI agents through visual directions, browser checks and iterative website review.
AI, Scientific Errors and the Verification Challenge
TheAIGRID examines reported AI-assisted discoveries and the growing challenge of checking scientific results.
Nikhil Harithas on Portable Compute for AI Agents
Nikhil Harithas describes an approach to running AI agents across different enterprise compute environments.
Nathaniel Whittemore on AI and Cognitive Abundance
Nathaniel Whittemore discusses an argument that abundant AI could expand demand for human thought.
Building an AI Focus Companion for Phone and Mac
Riley Brown builds a phone and Mac companion that checks screen activity and nudges him when he strays from a chosen task.
Alex Finn Tests Local AI on an RTX Spark Laptop
Alex Finn tests local AI on a laptop and walks through model setup, example tasks and portability tradeoffs.
How AI Is Used in Election Campaigns
Sovorel examines ways campaigns use AI and discusses benefits and risks, including deceptive synthetic media.
AI Explained on Frontier Model Safety and Progress
AI Explained examines frontier model safety claims, containment and benchmarks before arguing that model behavior may remain difficult to understand.
Nick Saraev on AI-Generated Animation and Model Reports
Nick Saraev discusses reported code-generated animations and explores their possible implications for filmmaking, cybersecurity and work.
Daniel King on AI and Space Infrastructure
Daniel King discusses how AI and robotics could shape space infrastructure, orbital computing and strategic competition.
Nebius CTO Danila Shtan on AI Cloud Competition
Nebius CTO Danila Shtan explains the company’s AI cloud strategy, infrastructure tradeoffs and expectations for competition with hyperscalers.
Antonio García Martínez on AI Agents and On-Chain Commerce
Antonio García Martínez discusses tokenized finance and speculative uses of AI agents in payments, publishing and online commerce.
Exploring a Router and Worker Design for Coding Agents
AICodeKing explains a proposed coding-agent architecture that routes events to isolated workers and discusses its limitations.
Anthropic’s Public Benefit Fund and AI Wealth
TheAIGRID examines Anthropic’s proposed public benefit fund, employee giving and ideas for sharing the economic gains of AI.