🟡 The future of biology

Semafor Technology · Semafor Technology · 2026-07-17

Semafor's technology newsletter reports that biology is absorbing AI's 'bitter lesson' as automated labs and brute-force data analysis displace hypothesis-driven science, while also covering Kimi K3's threat to frontier lab business models, Apple's trade-secrets lawsuit against OpenAI, and divergent teen AI safety approaches.

Extraction

Topics: ai-in-biologybiotech-aiai-business-modelsteen-ai-safetyus-china-ai-competition

Claims

Biology is undergoing a paradigm shift analogous to AI's 'bitter lesson,' with brute-force computational methods, nanotechnology measurement tools, and robotic automation outperforming expert-driven hypothesis testing.
Fully automated cloud labs will soon allow AI agents to conceive, execute, analyze, and iterate physical experiments in continuous loops, enabling 24/7 operation and dramatically lowering the cost of discovery.
The established pattern of American frontier labs releasing models that Chinese firms distill into open-source versions is unsustainable for frontier lab business models, potentially pushing them toward closed, conglomerate-style software businesses.
Apple's trade-secrets lawsuit against OpenAI reflects the existential threat AI poses to Apple's core identity as a seller of ecosystem simplicity.
AI companies are taking divergent approaches to teen safety, with OpenAI favoring age-gated access with parental controls and Anthropic requiring birthday-based age verification before allowing product access.

Key quotes

What comes next is going to be strange and, at times, controversial (imagine animal studies in this coming era). It will also save a lot of lives.

Instead of building powerful AI models and then releasing them to the public, frontier labs could keep them locked up, and use them to build their own software businesses. Eventually, they'd become like holding companies.

AI is not social media. (Lauren Jonas, OpenAI head of youth well-being)