#addiction

Anthropic accused Alibaba of illicitly extracting Claude's model capabilities, drawing 829 Hacker News comments and raising fresh questions about AI IP enforcement. OpenAI unveiled Jalapeño, its first custom inference chip built with Broadcom, a move that reshapes its dependency on Nvidia. GLM-5.2 crossed a threshold Nathan Lambert called the step change for open agents. Google introduced computer use in Gemini 3.5 Flash, and U.S. health spending rose 7.3% in 2025, driven by GLP-1 drug adoption and higher care utilization. A bipartisan bill would expand methadone access by letting physicians prescribe it outside specialty clinics.

AbbVie agreed to acquire Apogee Therapeutics for nearly $11 billion, the latest in a pharma M&A wave that has totaled $123 billion in 2026 deals so far. Definium's LSD therapy met its primary endpoint in a Phase 3 trial for major depression, and the FDA reversed a four-month-old rejection of Regenxbio's gene therapy for Hunter syndrome. In AI, Samsung deployed ChatGPT Enterprise and Codex to employees worldwide in one of OpenAI's largest enterprise rollouts, while Nathan Lambert and Kevin Xu argued that banning open-source AI would damage US interests. Patrick Boyle examined how SpaceX humiliated Wall Street and Cuba announced its most sweeping economic reforms in decades, including private banking and the end of fuel subsidies.

Z.ai released GLM-5.2, a 753-billion-parameter open-weights LLM under MIT license, which Simon Willison called the most powerful text-only open-weights model available. Separately, a White House report on the Fable 5 export control jailbreak drew pushback from cybersecurity expert Kate Moussouris, who said the restriction harms US cyber defense. OpenAI and Molecule.one published results from a near-autonomous AI chemist using GPT-5.4 that improved a challenging medicinal chemistry reaction. In pharma, nitazene overdose deaths confirmed by the CDC rose from 27 in 2020 to 409 in 2024, while the FTC and four state AGs sued WPATH over its gender-affirming care standards. Tyler Cowen flagged new research showing AI-native startups are organized differently from conventional venture-backed firms, drawing on Y Combinator data from 2020 to 2024.