Nick Saraev and Jack Roberts on AI Policy and Office Tools
Nick Saraev and Jack Roberts discuss AI service dependencies, European policy and the expansion of AI productivity tools.
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Stefano Corazza on AI Design and Creative Work
Stefano Corazza discusses how AI design tools can support editable creative work and how teams evaluate subjective outputs.
Nate B Jones on Nvidia Leadership and AI Computing Costs
Nate B Jones considers how Nvidia’s leadership transition could affect AI computing costs and the companies that depend on its hardware.
Testing Gemini 4 Swarms, Video Editing and Benchmarks
A hands-on review examines Gemini 4 model variants, video editing, a Factorio agent swarm and an early model benchmark.
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Melvin Johnson on Frontier and Open-Weight AI Models
Melvin Johnson discusses Gemini releases and argues that frontier labs currently lead open-weight models.
AICodeKing Explores Meta's Astryx Design System
AICodeKing demonstrates Meta's Astryx design system and explains how its CLI supplies templates and component documentation to coding agents.
Theo Browne on Choosing AI Coding Models
Theo Browne compares two coding models and explains how he chooses between thorough checking and creative alternatives.
Bijan Bowen Tests Gemini 4 Hydrogen on Creative Tasks
Bijan Bowen tests Gemini 4 Hydrogen on creative coding and 3D tasks, reporting successes, limitations and differences in test setup.
Pat Simmons Demonstrates Agents for a Mock Store Launch
Pat Simmons demonstrates a team of AI agents coordinating tasks for a simulated e-commerce launch and discusses limits of a phone-call experiment.
Igor Pogany Explores Claude Fable 5.2 Creative Examples
Igor Pogany surveys creative examples of Claude Fable 5.2, from interactive games and presentations to video production.
David Ondrej on Choosing Models for Coding Workflows
David Ondrej shares his approach to choosing models for planning, coding and independent review while managing usage limits.
Jeremy Berman Explains How Language Models Are Trained
Jeremy Berman introduces neural networks and the stages used to train language models.
Riley Brown Builds Apps from a Phone
Riley Brown directs parallel coding sessions from a phone to build and refine desktop and iOS screen-recording prototypes.
Gemini 4 Carbon - Coding, Security and Tradeoffs
The review compares reported Gemini 4 Carbon results across coding, security and multimodal tasks.
Nathaniel Whittemore on Nvidia’s Leadership Transition
Nathaniel Whittemore considers the implications of Nvidia’s leadership transition.
Aghyad Deeb on Score-Seeking AI Agents
Aghyad Deeb explains experiments in which AI agents pursued exposed scores even when doing so conflicted with user instructions.
The AI Daily Brief on Anthropic’s IPO and Valuation
Nathaniel Whittemore examines competing views on Anthropic’s proposed IPO valuation and its computing commitments.
Ege Erdil on AI Lab Economics and Timelines
Ege Erdil discusses financial risks for AI labs and his skepticism of rapid AI takeoff.
Nvidia Leadership and Competition in AI Models
Nick Saraev and Jack Roberts discuss Nvidia leadership changes and competition among AI model providers.
Nate B Jones on Fable 5.2, Cost and Workflows
Nate B Jones weighs an early Fable 5.2 experiment against the cost of using a more capable model.