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Anthropic S-1 leaks π°, Tesla SpaceX merger talks π, increase your slope π
Anthropic's draft initial public offering prospectus recorded a net loss of more than $80 billion in the first half of this year. It also lays
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Sign Up |Advertise|View Online TLDR Together With TLDR 2026-10-21 Live in Berlin NVIDIA GTC: Designing for Flexibility and Efficency Google Cloud (Sponsor) The agentic era demands dynamic, workload-optimized compute, and we are among the first to bring A5X, accelerated by NVIDIA's next-generation Vera Rubin NVL72 rack-scale systems to market. A5X combines cutting-edge accelerators with Google's deep systems innovation. As AI models scale, ML teams need infrastructure that doesn't sacrifice agility or cost. Join Google Cloud in Berlin on Thursday, October 22 at 7:30 AM CEST for an exclusive roundtable on the AI Hypercomputer. π± Big Tech & Startups Tesla and SpaceX Formed Committees to Discuss Potential Merger, Elon Musk Says (6 minute read) SpaceX and Tesla have formed special committees to discuss a potential merger. While Elon Musk thinks there's a lot of merit in combining the companies, the special committees have yet to reach an agreement, and there's no guarantee that they will. Musk is not on either committee. Shareholders will get to vote on the matter. A deal this large will attract regulatory scrutiny. Anthropic S-1 Shows Red-Hot Growth, Risks, and Massive Computing Costs (8 minute read) Anthropic's draft initial public offering prospectus recorded a net loss of more than $80 billion in the first half of this year. It also lays out a long list of risk factors that include uncertainty over how the company plans to prevent its AI models from causing harm and protect itself from those liabilities. Anthropic is generating breakneck revenue growth, but it faces challenges such as uncertain access to compute. It has signaled that it could potentially spend $750 billion in the next few years on obtaining more compute capacity. π Science & Futuristic Technology How Claude designed protein binders against scorpion neurotoxins (16 minute read) Anthropic asked an internal research model to design mini binders, small proteins that attach tightly to a target, against scorpion neurotoxins as part of its work in experimenting with how Claude can accelerate drug discovery. 17 of the 211 designs tested met Anthropic's criteria. Anthropic has not confirmed whether these binders neutralize scorpion venom in a cellular environment, so it is not claiming to have produced an antivenom. However, the study is a promising first step towards using AI to design credible binders against hard-to-target toxins in days, with lab confirmation within weeks. The challenge, as always, will be turning those binders into safe, affordable, and widely accessible drugs. I Paid $60 for Two Humanoids to Clean My Home In San Francisco (8 minute read) You can now pay for human operator-controlled robots to clean your house in San Francisco. This post describes the experience of hiring Tau Robotics' robots to clean a home for an hour. It details what the experience is like, examines the economics for the user and for the company, and tries to predict what a future with humanoids and advanced robots doing productive work would look like. π» Programming, Design & Data Science The results are in: Agentic adoption is outpacing security preparedness (Sponsor) 79% of orgs are evaluating or deploying agentic AI to troubleshoot, process internal data β even to make changes to production code. 3 in 5 orgs have confirmed or suspected an AI-related incident. Teleport conducted the 2026 Infrastructure Identity Survey to discover this information, and more. View their findings β Increase your slope (22 minute read) Become an expert at something small, take ownership of the problems around you, and get comfortable with having opinions. These things build on each other, and new employees can start doing all of them much sooner than they think. Practiced over time, workers will find themselves answering questions they used to ask, making decisions they used to need help with, and taking on problems they wouldn't have known how to approach. How To Use