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Here is today's Hacker News Daily for Tuesday October 27th. Yesterday, Anthropic filed its S-1 registration statement, setting the stage for what Hacker News expects could be one of the defining AI IPOs of the decade. The filing highlights extraordinary growth, with revenue reportedly adding a zero each year, but also enormous spending: commenters seized on an $81 billion net loss for the first half of 2026, though others noted that figure is heavily affected by accounting changes in convertible notes and related liabilities. [1]
The discussion was torn between amazement and dread. Bulls saw evidence that demand for frontier models is real and expanding at historic speed. Bears saw a company racing toward public markets while consuming unprecedented capital, potentially making ordinary investors “exit liquidity” for early backers. One commenter captured the surreal mood by feeding the filing into Claude and asking it to reconstruct Anthropic’s corporate strategy and build a trillion-dollar startup plan. Another concern was Anthropic’s public-benefit structure: readers wondered whether its stated mission can survive the pressure to maximize shareholder returns. The vibe was part market spectacle, part anxiety about whether AI economics can ever justify AI valuations.
OpenAI’s announcement of three alleged research discoveries in mathematics, computer science, and physics generated an even more intense debate, especially around the claim that the Exponential Time Hypothesis is false. ETH broadly holds that 3-SAT cannot be solved in subexponential time. If the proof survives scrutiny, commenters said it would be a major complexity-theory result—“not quite P equals NP but in the same league,” as one put it. [2]
But HN was careful not to overstate it. The paper does not prove P equals NP, nor does it mean all NP problems now have subexponential algorithms. Readers also questioned whether the technique has immediate practical effects on SAT solvers, whose real-world performance often depends more on unusually friendly inputs than worst-case theory. OpenAI is releasing the work through different academic-review approaches for math, computer science, and physics, rather than presenting it as settled fact. That drew criticism from people wary of researchers being asked to validate AI-generated output, alongside excitement that models may now be making genuinely surprising mathematical contributions. The overall mood was astonished, skeptical, and determined to wait for expert verification. [3]
In a smaller but warmly received AI education story, author Sebastian Raschka released an eleven-hour, eight-video course on building reasoning models from scratch in Python and PyTorch. It covers evaluating a pretrained LLM, inference scaling, reinforcement learning, and distillation. Readers repeatedly praised Raschka’s ability to make difficult material click. The disagreement was over audience: skeptics wondered whether tutorials can prepare someone for the costs and complexity of training real models, while defenders argued that lectures are a necessary start, not a substitute for projects. The thread’s tone was encouraging and practical. [4]
Finally, CSS-Tricks is independent again after DigitalOcean’s 2022 acquisition. Its new owner hopes to make the veteran frontend publication a sustainable community business, but commenters immediately worried about advertising, courses, and AI reshaping developer education. Still, longtime readers were simply happy to see a beloved resource back with someone focused on the craft. [5]
The shared theme today is verification and independence: whether testing AI research claims, judging trillion-dollar business models, learning model internals, or trying to preserve a community publishing institution. Thank you for listening to Hacker News Daily from The Daily FM. See you tomorrow!
- Anthropic S-1
Hacker News story: Anthropic S-1 1628 points, 1554 comments. Discussion: https://news.ycombinator.com/item?id=50242939 Article: https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm Article excerpt: As filed with the Securities and Exchange Commission on October 26, 2026. Registration No. 333- UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, D.C. 20549 FORM S-1 REGISTRATION STATEMENT UNDER THE SECURITIES ACT OF 1933 Anthropic, PBC (Exact name of registrant as specified in its charter) Delaware737286-1696045(State or other jurisdiction ofincorporation or organization...
- Three new discoveries in mathematics, computer science, and physics
...nce, and physics about harmonic analysis, complexity theory, and quantum field theory.Our release process continues to evolve in response to feedback from the associated academic communities. In our view, these manuscripts are best understood as a form of raw research data. To convert this raw research data into scientific understanding, in this release we are experimenting with a new approach. We reached out to external experts and asked them to act as shepherds, organizing groups to understand the new results. They advised three different release strategies:For the math result, release the AI output, leaving researchers free to organize their own efforts to explain the result.For the computer science result, form an external group of collaborators to explain the result, while making the AI output publicly available for anyone to examine and build on.For the physics...
- The Exponential Time Hypothesis Is False [pdf]
...baggy_trough: [flagged] > freecodeio replies: math major here, I can't read the paper for shit criemen: Wow. Complexity class separations are really really rare. Can an expert in sat solving comment if there's any immediate applications of the method from the paper? Or is SAT solving in general pretty far away from worst-case times, and this is a theoretical algorithm which would be hard to apply in practice. > infamouscow replies: The data you put into a SAT solver has substantial effect on it's performance in practice. Real world inputs tend to be much nicer than pathological ones, so I don't think there's much practical application, but I also haven't read the paper yet. strommec: It's surprising that Exponential Time Hypothesis would be false. Quoting a paper from 2022[1]: > We pr
- Sebastian Raschka's from-scratch video course on building reasoning models
...nt Build Reasoning Model (From Scratch), which implements these from the ground up in PyTorch, which, in my experience, is still the best way to understand and learn how things really work.Now, in the last few months, I also sat down and recorded accompanying lectures I wanted to share with you. So, below, you will find eight reasoning model-from-scratch coding videos (11 hours of content).We start with a pre-trained LLM and implement methods to evaluate and improve it in Python and PyTorch. So, if you enjoyed my Coding LLMs from the Ground Up course last year, this is essentially the sequel (but you can also watch it without the prior course as a prerequisite).I’m currently taking a short break and will be back soon with more exciting LLM research roundups next month. In the meantime, I hope you enjoy coding along!As a small side note, and since I often get asked how...
- CSS-Tricks has a new owner
Hacker News story: CSS-Tricks has a new owner 493 points, 106 comments. Discussion: https://news.ycombinator.com/item?id=50245831 Article: https://css-tricks.com/css-tricks-has-a-new-owner/ Article excerpt: This is pretty wild, but let’s get right to it because it’s big news: CSS-Tricks is an independent site once again! Just to recap: DigitalOcean purchased CSS-Tricks in 2022 from Chris Coyier, who founded the site in 2007. Chris ran it all the way up to that purchase. Here we are in 2026, and I’m taking independent ownership of the site. So, wait, who owns the site? That’d be me. (Wow, never imagined I would get to say that...