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With critical CVEs surging as LLMs get better at finding vulnerabilities, Gavin Anderegg argues that most content sites never needed a CMS or a server-rendered Node stack: clients rarely edit them, nobody patches them, and statically generated HTML is faster, nearly free to host and has a far smaller attack surface.
5 min · 1,136 words
OpenAI and Anthropic Wanted to Replace Engineers. Instead, They Shot Their Own Customers.
Techbro Nerd argues that by selling AI coding agents, OpenAI and Anthropic let anyone clone established software, using Adobe versus the vibe-coded ArtCraft as the example, which erodes the enterprise software customers the labs depend on and drives the price of their own product toward zero.
6 min · 1,409 words
Freelance security consultant Lucas Luitjes digs into the public php2shell proof of concept and argues mass exploitation is far harder than vendors claimed: it needs four requests to the same PHP worker and the exact build, which means days of DoS-like brute forcing against real sites behind load balancers and WAFs. Patch fast, but the '15 minutes or die' hype was overblown.
3 min · 608 words
No Need for Retirement When Utopia Is Around the Corner
Jim Nielsen compares Daniel Ellsberg's account of RAND's missile-gap years, where staff felt a quasi-religious mission and doubted they'd live to collect retirement, with today's rhetoric from AI labs like Anthropic.
2 min · 425 words
I can't believe PowerShell is actually good
Corbin Davenport of The Spacebar admits he underestimated PowerShell after Bash scripting frustrations, showing how its native data types, easy web API parsing, and .NET objects made a real scripting job, migrating old Tumblr posts with their metadata, far easier.
10 min · 2,286 words
There isn't an easy exploit for this PHP vulnerability
Elias Taylor argues that the much-hyped PHP vulnerability behind this week's emergency security releases is a real bug but hard to exploit in practice, nowhere near Log4Shell or Heartbleed, and explains why the panic outruns the risk in the LLM era.
4 min · 808 words
Alex Ewerlöf dissects Jev's 30-day hype cycle: what the general-purpose classifier actually does, how it was marketed, how it compares with traditional LLMs and schema-validation loops, and what the episode says about the state of AI innovation.
13 min · 3,024 words
If you don't run your own LLM proxy, how do you even know what's going on?
Jared Siegel argues that anyone using LLMs at home or at work should route traffic through their own proxy, so they can see prompts, responses, token spend and data paths instead of trusting a provider's black box.
2 min · 496 words
Personal software factories are a waste of time
Peter Piekarczyk argues that software engineers should stop building personal AI 'software factories' for side projects and instead spend their time experimenting with AI on real problems, the way non-developers are already doing in surprising ways.
3 min · 698 words
How the Fed Is Quietly Inflating the AI Bubble While Hiking Your Electric Bill
Matt Stoller argues that Federal Reserve rate hikes raise electricity bills, property taxes, mortgage and auto costs and the price of working capital while favouring cash-rich AI giants, and that it is time to drop illusions about the central bank as the only answer to inflation.
8 min · 1,887 words
Dark Enlightenment: The Authoritarian Trajectory Being Taken by Tech Giants
Sydney Criminal Lawyers argues that Silicon Valley elites are normalizing Dark Enlightenment ideas—technocratic rule, privately run city-states, and hostility to democracy—with little pushback from authorities.
5 min · 1,160 words
Everything Is a Leaky Abstraction (in machine learning)
Elijah Potter, building on Andrej Karpathy's case for understanding backprop by hand, argues that unlike sealed abstractions such as TCP/IP, TLS or PostgreSQL, every part of a machine learning system leaks into the cost function, so practitioners should understand the whole model and training regimen before they start.
2 min · 402 words
Mistral AI co-founder and CEO Arthur Mensch argues it would be a fundamental mistake for Europe to leave frontier AI models to the US and China. Pointing to the €260B+ Europe pays yearly to American cloud and software providers, he says whoever controls a model sets the terms, that open models only partly help, and that frontier AI is now a matter of security and science.
4 min · 864 words
Mac and iOS developer Jeff Johnson explains why he still avoids passkeys and sticks with randomly generated passwords. Even with the new credential exchange protocol, he argues passkeys tied to iCloud Keychain fail his requirements of logging in from an unfamiliar device and keeping independent backups, and that big platform vendors oversimplify security for everyone.
6 min · 1,273 words
It Ain't AGI Until H100s Go for $30 an Hour
October 15, 2026 Kyle Corbitt with Claude Opus Greg Brockman claimed that GPT-6 Astra marks the start of the “AGI era.” We may be in the AGI era, but if AGI means an agent that can “outperform humans at most economically valuable work” it isn’t here yet. You’ll know it is when the price of AI compute jumps 10x from where it is now.
5 min · 1,095 words
Anthropic’s Scion is heavily inspired by Mononoke
A former Mononoke engineer compares Anthropic's description of 'derived data' in its new Scion version control system with how Meta's open-source Mononoke source control server used the same idea years earlier, and argues that Anthropic should have credited Mononoke as prior art.
4 min · 855 words
Scott Helme responds to the viral 'Passkeys are a trap' post, explaining what passkey attestation actually does, why it rarely restricts users in practice, and why passkeys remain the best protection available for accounts.
4 min · 880 words
Stop Telling AI What It Can't Do
Cal Evans argues people only hand AI tasks they already know how to do — and that describing the problem and letting the conversation explore solutions unlocks more than pre-limiting what AI “can’t” do.
2 min · 426 words
Why is every rationalist blog post way too long?
Alex Wennerberg argues that rationalist bloggers such as Scott Alexander and Eliezer Yudkowsky write posts that are far too long, spending effort on layers of detail and nuance instead of questioning their premises, and says what the verbose style lacks is wisdom: the discretion to know which ideas are worth pursuing and what needs saying.
2 min · 371 words
Ben Recht looks at the result in OpenAI's math repository claiming to compute Fourier transforms faster than the FFT, with tutorial material on the FFT and computational complexity, and argues it is less a breakthrough than an exploit of theoretical computer science's habit of proving galactic algorithms that never run on a computer.
8 min · 1,732 words