AI News: October 27, 2026

1. Anthropic’s S-1 Shows Founder Control, an $80.7 Billion Net Loss, and a Cross-Selling Playbook

Anthropic. TechCrunch’s read of the IPO filing shows the operating loss narrowed to $693 million in the first half of 2026, while the net loss hit $80.7 billion, mostly from noncash adjustments tied to convertible debt. Seven co-founders will hold 50.1% of shareholder voting power through a “Founder LLC,” and the Long-Term Benefit Trust appoints most board members, leaving public shareholders little practical control; more than half of $100,000-plus customers already use both the Claude Platform and a first-party app. Bloomberg’s October 27 market wrap credits the filing with reviving the AI trade, with SK Hynix and Samsung both up more than 4%. Source

2. SpaceX Locks In $40 Billion GPU Lease Financing With Apollo

SpaceX. A regulatory filing shows a binding commitment for roughly $40 billion in what SpaceX calls the “largest committed GPU financing,” where an Apollo-managed entity buys AI chips and servers, including Nvidia Vera Rubin parts, and leases them back for about five years. The deal is expected to close by year end, with leases starting in the first half of 2027, and the compute will serve Grok and SpaceX’s cloud business. Sale-leaseback structures like this let AI builders scale compute without relying only on traditional debt markets. Source

3. High-Frequency Traders Race for AI Compute, From Finnish Data Centers to Etched Chips

Jane Street, Hudson River Trading, XTX Markets. Citing Bloomberg, The Decoder reports one executive saying trading firms’ compute spending is now 10 to 20 times pre-ChatGPT levels. Jane Street runs a Texas data center with more than 4,000 Nvidia GPUs, invested $1 billion in CoreWeave plus a $6 billion compute commitment, and led a round in chip startup Etched as its first customer, while Hudson River spends about $1 billion a year on AI and XTX is building a data center in Finland. Source

4. Toyota Plans to Spend $6.4 Billion a Year on Humanoids and Factory Automation

Toyota. Per the Financial Times, Toyota aims to become a global robotics company with $6.4 billion in annual spending and a plan to deploy 400,000 robots, starting in its own factories where conditions are easier to control. Goldman Sachs estimates Toyota could take 3 to 8% of the humanoid market by 2035, competing with Tesla, Xpeng, and Hyundai, which plans US production of Atlas from 2028. Source

5. Study Identifies Six Linguistic Patterns That Make Frontier Model Prose Hard to Read

NYU and UT Austin. Researchers compared 14 models against human writing and found frontier models overuse patterns such as noun stacking, dropped connecting words, distant related clauses, nouns used as verbs, and odd word combinations (arXiv). Llama and the Olmo base model wrote closest to humans, and the authors trace the problem to post-training on code and math that rewards correctness over clarity. Source

Reddit. Moderators of r/opensource banned posts about projects built with AI, powered by AI, or designed for AI, and now also require projects to be at least a year old with multiple contributors, while excluding non-English posts. Critics call the rules vague, noting AI-generated code already exists in the Linux kernel, and r/TrueOpenSource launched as an AI-tolerant alternative. Source

7. Boston Dynamics Employees Petition Against Sale of Robot Dogs to ICE

Boston Dynamics. More than 300 employees signed a petition asking executives to halt a sale of modified Spot quadrupeds to US Immigration and Customs Enforcement, after DHS awarded a $1.3 million contract to Connecticut reseller Radeco on September 25. Executives stood by the deal, saying the robots will not be weaponized. Source

8. Cargo Thieves Have Stolen Over $100 Million in Data Center Hardware Since June

NBC News via Ars Technica. Investigators say thieves hijack freight broker accounts with phishing links, bid on real data center shipments, and route goods to accomplice drivers, in one case spoofing GPS coordinates to defeat tracking. The thefts show how the AI buildout’s high-value GPU and server freight has become a target in the physical supply chain. Source

9. Resolution Autoformalizes Hironaka’s Resolution of Singularities for About $135,000 in Tokens

Resolution. The AI safety startup (formerly Sequent) used an orchestrator agent working from a 112-page plan to produce about 600,000 lines of Lean in roughly a week, consuming around 100 billion input tokens and 300 million output tokens. The team says the library is already helping it extend singular learning theory, which it uses to study how loss landscape geometry shapes generalization. Source

10. ProgramBench Scores Jump From 0% to 18.5% in Five Months

ProgramBench. The benchmark asks models to rebuild programs such as SQLite, DuckDB, FFmpeg, ripgrep, and Lua interpreters from a compiled binary and its documentation. Every model scored 0% fully resolved at launch in May, and Claude Opus 5.5 (xhigh) now resolves 18.5% of the 200 tasks and passes more than 95% of tests on 70.5%, with Jack Clark predicting saturation by the end of 2027. Source

11. Mirendil Says One Researcher Pretrained a Competitive Base Model for Under $10 Million

Mirendil. The AI R&D startup’s Mirendil-Base, in the 100B to 500B parameter range, was built by a single researcher in 3.5 months on public data with code written from scratch, and reportedly beats Nemotron-550B-Base, GLM-5.3, and DeepSeek-V4-Pro-Base while trailing Kimi K3. Larger Base-Large and Base-XL runs are 80% and 19% through training, and Mirendil says both already exceed Kimi K3. Source

12. Tesla Bets on Autonomy and Software as Its Next Profit Engine

Tesla. An Ars Technica analysis says Tesla is moving away from relying on vehicle sales toward recurring revenue from software and AI services. Days after a viral Roadster stunt, Elon Musk said Tesla and SpaceX were exploring a merger that could speed up his autonomous driving push. Legacy automakers facing Chinese competition are trying to build similar software revenue. Source