Social Media Briefing — August 3, 2026

Speculates on optimizing performance in extremely small code spaces, questioning if classical decision trees or ngrams can beat neural networks in 25KB packages.

Continuing our coverage from yesterday, Shares Simon Willison's pelican-on-bicycle test and links to browser-playable source code, discussing interactive storytelling benchmarks.

Following yesterday's News coverage, Proposes a defensive policy roadmap for AI cybersecurity, emphasizing open models, incident disclosure, and strong legal penalties to protect defenders.

Allie Miller discusses how AI unlocks entirely new workflows rather than just speeding up old ones, sharing personal examples involving daily voice conversations, mental offloading, and revenue engineering workflows.

Following yesterday's News coverage, Argues that success in math benchmarks does not translate to general intelligence because math easily permits symbolic verification and synthetic data generation, unlike the open-ended world.

Advocates combining traditional procedural code for storyboard control with video-to-video generative models for high-quality texturing and aesthetics.

Highlights a research paper indicating that modern large language models fall short of executing genuine scientific discovery.

Proposes a list of major, empirical questions in the social sciences, specifically entrepreneurship, that advanced AI could solve if it becomes capable of deep empirical research.

Suggests using ChatGPT as a core utility for generating interactive educational tools.