Long-form analysis at the intersection of AI and life sciences — all spells, sorted by time.
AI tools speed up the coding part. They leave code review, testing, CI/CD, and deployment completely untouched. Your team's AI adoption might be at 100%. Your shipping speed improvement might be at 0%. That is a systems problem, not a model problem.
# A $15 Paper That Fooled Peer Reviewers — The AI Scientist Has Arrived > **TL;DR**: An AI system that conceives ideas, writes code, runs experiments, and prod
A new model drops. You upgrade. The outputs still make you wince.Here's the uncomfortable truth: the problem was never the AI.Think about it this way. Take the
One bee can't find nectar. Fifty thousand bees can pollinate an entire forest. AI is learning the same lesson.Picture this: a single assistant sitting at a desk
Gabriel Petersson dropped out of high school at 17 and joined OpenAI's Sora team without a degree. Three learning shifts that bypassed the credential ladder.