AI prose is distinguishable by word and punctuation choice as well as sentence and paragraph structure. But its hallmarks are not what you might expect. Read our full investigation

AI is getting very good at writing code. But writing code was never the whole job. Architecture. Security. Observability. Testing. Cost. Operations. Incident response. The better AI gets at coding, the more obvious the rest of software engineering becomes.

AI coding agents might create an unexpected problem: More code. Less shared knowledge. If an engineer solves a problem through an AI agent, a lot of the reasoning can stay inside a private human-agent loop. No Stack Overflow answer. No GitHub discussion. No detailed issue thread. Sometimes not even a meaningful commit message. We may become dramatically better at producing software while becoming worse at producing the public knowledge that future engineers learn from. That tradeoff deserves much more attention.

AI JUST LEARNED TO WRITE LIFE Scientists used AI to create genetic code that never existed before. The same technology that writes code and creates images is now learning the language of life. - Evo 2 was trained on the genomes of millions of living organisms - AI can generate new DNA sequences that never existed in nature - Researchers created AI-designed viruses that successfully attacked bacteria - The breakthrough could help discover new medicines faster AI is no longer just predicting the future. It is starting to build it.