The internet has been so scrubbed of references to Dario Amodei’s wife, Cami Clark, that if you Google her, you get a picture of his sister instead. Not even Claude can say if he’s married. But she has been an influential force in his career, introducing him to Eric Schmidt, one of Anthropic’s first investors, with whom she had previously been in a three-year relationship, and serving as a key sounding board and networker. To get to this point, she overcame much: dropping out of college, a brief early marriage when she was 20 to a man more than 40 years her senior, a bankruptcy and an entrepreneurial path that included trying to get Jeffrey Epstein to invest in her “revolutionary porn company.” w/ @LukeJKummer

BIG news for Physical AI! We’re proud to announce $85M in new funding to accelerate our vision and scale Physical AI — bringing our total raised to $355M. Led by Maverick Capital with new participation from StepStone Group, this round fuels global expansion and continued AI innovation across robotics, automotive, industrial automation, aerospace & defense, healthcare, and more. #PhysicalAI# #EdgeAI# #SiMaai# #AIHardware# #FundingNews# #MLSoC# #GenerativeAI#

More than 200 of the world's elites registered for a retreat whose agenda runs from panels on cult-building and sex to prepping for World War III. An associated app offers matchmaking.

you can now control things with your brain. literally. we're building the most wearable BCI on the planet, with @sabi, backed by @khoslaventures @accel @initialized & @kevinweil. we collected the world’s largest neural dataset and trained the most capable Brain Foundation Model. then we invented a new class of biosensors powered by custom ASICs. type without typing. click without clicking. a cap that lets your brain do the work. we’re sabi.

turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised. Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola We’d be nowhere without them. We work like hell to exceed their expectations.

@alexshander03 and the entire @JudgmentLabs team have been quietly pushing the limits these past few months. Thrilled for what’s ahead for this exceptional group—big things are coming. Read more below:

This is the year of agents in biology. What you're seeing in code is already unfolding in molecular data analysis, reorganizing workflows in basic research and drug development. Path forward is focused benchmarking + engineering scoped to specific types of assays. Just as coding agents had to reliably write JavaScript before they could build a browser, biology agents must first learn to accurately process and interpret concrete measurements, (eg. spatial assays), before they can reason about disease, drug mechanism, or patient response. Our roadmap reflects this progression: procedural skill in analysis -> emergent biological reasoning -> synthesis across data types, translational context, and realistic ambiguity. Towards systems that can eventually support expensive, high-stakes decisions in drug programs or research projects. Diffusion in biology is slower than software and needs to be thought through carefully. We work directly with the teams building measurement tech (eg. TakaraBio and Vizgen) and package assay-specific agents alongside their kits and instruments. Scientists complete sample preparation, then use these tech-specific agents to move from raw data to answers and figures. Our partners white-label our platform; we do not run a direct biotech sales motion. Now hiring rapidly across major assay categories, prioritized by which we believe will contribute most to the area under the molecular data curve over the next several years - Spatial - Single Cell - Epigenomics - Genomics - Perturbation/Screening - Diagnostics Looking for talented scientists and engineers with strong foundations in theory and deep experience in these areas to help us build scientifically accurate agents.

MITIMCo (MIT's endowment investment office) is hiring for an investor role on our team! Please share if you would like to support MIT and MITIMCo One of the really cool things about our job is the unusual team structure that the Global Investment Staff (GIS) has: