Anthropic S-1 leaks 💰, Tesla SpaceX merger talks 🚀, increase your slope 📈

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 ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 

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. 📱 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. 🚀 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. 💻 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 – 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 → 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 Decision Models for Evals (23 minute read) Decision models are an appealing alternative to LLM judges for automated evals. However, whether they're the right choice depends on the cost, performance, and latency requirements of the use case. Many people leave the default decision threshold at 0.50 without checking whether that's appropriate for the task, leaving a lot of performance on the table. This post shows how to tune thresholds to get the best results from decision models, compares cost and performance between models, and explores how to interpret model scores and how calibration can make them more useful. 🎁 Miscellaneous Senior Software Engineer, Applied AI at TLDR ($300k base + $60k bonus, Fully Remote) TLDR is hiring a senior engineer to build the agent-first operating layer used across the company. We're looking for a builder who has taken an LLM agent to production and still owns it. Click here to learn more. Some final words on Foursquare (10 minute read) Foursquare was acquired about a month ago, marking the end of a 17-year story. The acquisition was a $0 outcome for equity holders. This post captures the ending from a founder's point of view and details lessons learned from starting, scaling, and losing the company. In the end, the company was unable to survive a leadership change, leading to employee frustration and the zero-dollar outcome for equity holders. 30 Months on the Exponential (in Charts) (7 minute read) AI's gains have been so large that how we work with it has to change. Before, the work was divided between AI and humans. Now, humans summon agents when needed, assign them work, and evaluate what comes back. While it is the most powerful way to use AI, it carries new risks as we lose control over what AI is doing to get those results. ⚡ Quick Links Reach 8 million tech professionals reading TLDR (Sponsor) Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually pay attention. Learn more about sponsorship opportunities. Can a Million AI Agents Create Superintelligence (40 minute read) Today's feedback loop is probably too weak, as improving AI faces diminishing returns at every step. The Internet goes on high alert after discovery of 8 compromised TLS certs (4 minute read) The eight intermediate certificates, which belong to India-based certificate authority eMudhra Limited, were defective at a level thought not possible by engineers studying the incident. PHP warns admins of two critical flaws, emergency patches coming tomorrow (4 minute read) CVE-2026-109618 and CVE-2026-109619 are remote code execution flaws believed to affect PHP versions 5, 6, 7, and 8. What Shall I Teach My Son? (6 minute read) The way we teach is often more important than the what. Publish stats, get cited: The tactic that put my data all over the web (15 minute read) Research means fanout queries asking for statistics, and a number looks like evidence that can fill knowledge gaps. Bits and bobs (631 page read) This document contains a collection of proto-insights that mirror and accentuate one another over time. Love TLDR? Tell your friends and get rewards! Share your referral link below with friends to get free TLDR swag! https://refer.tldr.tech/c4b06755/ Track your referrals here. Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of tech executives, decision-makers and engineers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here, create your own role or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! TLDR is one of Inc.'s Best Bootstrapped businesses of 2025. If you have any comments or feedback, just respond to this email! Thanks for reading, Dan Ni & Di Wu Manage your subscriptions to our other newsletters on tech, startups, and programming. Or if TLDR isn't for you, please unsubscribe.