PCBs made in America. Twice as fast as Shenzhen. Today @CircuitHub is unveiling The Grid, our factory-scale robot in Massachusetts that builds circuit boards on demand. No changeovers, no per-design setup. Prototypes and production batches, fully automated.

While AI has advanced in mathematics, we believe there’s still a major gap in the physical sciences. @warpsciences co-founders @kevinweil and Solomon Reisberg joined Lightspeed Partner @guruchahal to discuss how their labs could generate the experimental data needed to advance scientific AI. The company recently emerged from stealth and is building US chemistry labs to make research compounds for biotech and pharma companies. “First be the hands, then build the nervous system, and then over time become the brain,” says Warp’s CEO Kevin. The plan starts with expert chemists making molecules for customers. Cameras and sensors would record the work, helping Warp automate tasks and train models to improve how compounds are made. More capable labs could let researchers pursue ideas for new medicines that time and cost currently put out of reach. The experiments could also produce more evidence for scientific AI to learn from. Thank you to Kevin and Solomon for joining us! Full episode below. 0:00 The Future Of Automated Labs 0:43 Introducing Warp Sciences And Founders 1:48 Kevin's Journey And Sol's Background 5:03 Building Warp's Founding Team 10:54 What Is A CRO And How Drug Discovery Works 13:24 The Pain Points: IP, Single Supplier And Geopolitical Risk 15:58 How Warp Is Taking On The Challenge 21:45 Threading The Needle On IP And Data Sharing 25:14 The Future Of Automated Labs, Business Plan And Funding 33:21 Closing Thoughts

Everyone’s hyped up about digital twins and simulation technology but nobody is building transparent benchmarks in the space. Today, in partnership with @GoogleDeepMind and @kaggle, we’re launching the first public human behavior benchmark. Why is this important? How did we make it? Read 🧵

We're giving away $1,000,000 of pizza right now all across the U.S. It's pizza night, on us. To celebrate the launch of Hark Pro. Download the app and tell Hark to order a free pizza. hark.com/download Instructions in thread to order yours now.

I am starting to think in anti-scale. if something can be done by anyone using Claude, it’s probably zero alpha. instead, what’s an approach that is too much effort for everyone else? do that

Introducing DeepRSI, a new industry standard for measuring recursive self-improvement. On preexisting benchmarks, tasks are contributor-based and short-horizon (~12 hrs). In DeepRSI, we push agents to work 48 hours on ML tasks actually derived from ongoing proprietary research.

Unlike bio, physical sciences/engineering have a powerful simulation infrastructure so "simulator + lab in the loop" is the paradigm. very rich idea space.

last week, @CompoundVC, hosted the biggest data factory event ever. @benchling hosted their amazing space and talked about the future of bio with AI Scientists @scale_AI spoke about recent SOTA benchmarking judgement built around data sales @FabioZB_I talked about the Polyphron tissue foundry @contra showcased their work on creativity training @TryBrickroad and @Freeman_Lewin are some of the most sophisticated data sellers @QuickrBio wow'd us with their better, faster, cheaper platform Dynamical Systems for materials science data factories and Ambitious for their healthy bill of materials. So much happening here. TY @shantenuagarwal for organizing and @nlarusstone for speaking!