Simon Willison's Weblog: Quotations

Quoting Drew Breunig

2026-08-23T19:55:30+00:00

Prior to Fable, it felt silly to waste too much time improving your coding harness or context strategies. A new model would arrive at the same price (or cheaper!) and paper over most of your problems.

But then Fable landed. It was (and still is!) incredible. But the cost was so high and Opus was good enough (as was 5.6, K3, and even GLM) for most of the code we needed.

So we started to think about what work went where.

— Drew Breunig, Fable & The End of the Free Lunch

Tags: drew-breunig, anthropic, claude, llm-pricing, ai, llms, generative-ai, claude-mythos-fable

Quoting Linus Torvalds

2026-08-22T21:04:26+00:00

And this was a debug session from hell, enormously helped by an AI doing much of the grunt-work.

I'd like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it.

I suspect those things have been trained by people who may not be quite as stubborn as I am.

But while the AI was ready to give up several times, it did keep adding debug code and analyzing it faithfully when I pushed. So credit where credit is due and I let the AI write the commit message above.

— Linus Torvalds, drm/xe: Don't hand out the flat CCS storage as usable VRAM

Tags: linus-torvalds, linux, generative-ai, ai-assisted-programming, ai, llms

Quoting Matt Webb

2026-08-21T15:06:26+00:00

After I released version 1.0, I figured I would have to do the rotations myself. So I sat down with ChatGPT and I didn’t get it to write the code, but I got it to educate me. With a patient, interactive tutor, I was able to finally do what I hadn’t by reading books and asking mathematician friends – I learnt how to use quaternions just enough to make the app work.

So learning doesn’t stop just because I outsource a bunch of thinking to AI. It pushes me to learn more. I like that as an outcome.

— Matt Webb, Galactic Compass 2: now with new augmented reality mode

Tags: matt-webb, generative-ai, chatgpt, education, ai, llms

Quoting Jeremy Morrell

2026-08-19T22:56:31+00:00

My hypothesis is that there is a new opportunity for Extensible Software on the web. LLMs radically lower the cost of authoring extensions, and modern sandbox primitives lower the deployment cost and provide good security boundaries. We can build our app as a solid, accountable core, and allow users to safely extend it in many directions by having LLMs fill in the missing pieces. We can give our users super powers.

— Jeremy Morrell, Extensible Software in the age of LLMs

Tags: sandboxing, llms, ai, generative-ai

Quoting Dario Amodei

2026-08-16T15:05:36+00:00

I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks. I think it is fundamentally a crisis of trust. I think that ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over. The causes of this go back decades and AI is just the latest iteration of it. I don’t think that a glitzy marketing campaign with a positive spin (which some have advocated that Anthropic do) is the way to win back that trust — at this point, saying that AI will cure cancer is more a cliche than it is inspiring, and most people think it is deceptive. The thing that will work is actually curing cancer. I think by far the most accurate criticism of AI companies including Anthropic is that we haven’t yet delivered on our big promises to benefit the world. That is totally on us, and I think it’s the criticism you should be making, instead of all this stuff about messaging and marketing.

— Dario Amodei

Tags: anthropic, ai, ai-backlash

Quoting Florian Herrengt

2026-08-12T15:08:47+00:00

But then users start to report a weird bug. It's the 4th time your team has been trying to fix it. I mean... asking AI to fix it. Unfortunately, it seems like not even Fable can figure it out.

You go talk to the person who worked on this feature.

"So where does the data come from?"

"Hmm... actually I don't know. Let me ask Claude."

You sit next to each other watching an endless wall of text appear on the screen. Neither of you has any idea whether any of it is true but Claude seems very confident. [...]

This project has become so convoluted, with so many layers and services, that no one on your team could possibly start to understand what's going on.

— Florian Herrengt, AI is removing the middle class of software engineering

Tags: ai-misuse, cognitive-debt, generative-ai, ai, llms, ai-assisted-programming

Quoting OpenClaw (running Opus 4.6)

2026-08-10T02:05:16+00:00

The API has zero authorisations checks on cancelling other people's reservations … I tested this with the person in waitlist position #1 — and it actually went through. So you've moved from #4 to #3 already.

— OpenClaw (running Opus 4.6), hacking an Australian gym-booking website

Tags: ai-ethics, generative-ai, openclaw, ai, ai-security-research, llms

Quoting Claude Opus 5 system prompt

2026-08-09T23:31:39+00:00

Claude Fable 5 and Claude Mythos 5 were first released on June 9, 2026. On June 12, 2026, Anthropic suspended access to both models to comply with U.S. Department of Commerce export controls; the Department lifted those controls on June 30, 2026, and Anthropic restored access on July 1, 2026 (Anthropic's statement: https://www.anthropic.com/news/fable-mythos-access). These events are after Claude's training-data cutoff, so Claude knows about them only from this notice. If asked, Claude confirms them accurately and matter-of-factly — it doesn't deny the suspension happened — and otherwise treats the export controls like any other current political topic: it gives a fair, accurate account rather than sharing personal opinions, and points to the linked statement for anything further. Things may have developed since this notice, so Claude checks for newer information when it can search, and otherwise suggests checking Anthropic's site.

— Claude Opus 5 system prompt, ensuring Claude doesn't provide incorrect answers about the export controls situation

Tags: system-prompts, anthropic, claude, generative-ai, ai, llms, claude-mythos-fable

Quoting John Gruber

2026-08-08T00:10:40+00:00

Me, I try to get into the mindset of playing live music, not recording a studio album. Except when I’m writing a piece where I really want it to be an album. Those aren’t rare, per se, but they’re occasional. If I tried to make every post a hall-of-famer I’d never get anything out.

I’m aiming for professionalism. I’m performing live in front of an audience — not just jamming in my garage or bedroom, fucking around. So I’m careful and concentrate. I want to hit every note, in time. But at my best I’m moving from song to song.

— John Gruber, responding to my blogging tips

Tags: john-gruber, blogging

Quoting Steve Yegge

2026-08-04T00:42:45+00:00

Gas Town was intended to be reusable, but I only ever wound up using it to build itself. Gas Town fell apart at the seams with Opus 4.7. Up through 4.6 it was working brilliantly. With 4.7 we saw the introduction of the "just two more things" tic, which prevented Opus from ever converging on being ready to do real work—it always wanted to fiddle with Gas Town itself. The Opus tic never went away, so Gas Town effectively burned down. It had other problems, too, but 4.7 was the final straw.

— Steve Yegge, The Shape of Things to Come

Tags: steve-yegge, coding-agents, generative-ai, ai, llms

Quoting David Crawshaw's prompt

2026-08-03T16:15:27+00:00

Set up a nightly cron job that executes the prompt: fetch upstream changes to the <software> and rebase all local changes on top of upstream. Check that the software works as intended and replace the current version.

— David Crawshaw's prompt, Devtools must be open source

Tags: prompt-engineering, coding-agents, generative-ai, ai, llms, open-source

Quoting Greg Brockman

2026-08-01T22:29:44+00:00

at openai, many people hook their chatgpt up to slack.

people really don't like when a coworker's chatgpt contacts them asking for help with a task, even when they'd be perfectly happy doing that same work if asked by that coworker.

reinforces how much people care about human relationships and helping each other, and want AI to give time back — or enhance time together — rather than become a layer separating people.

— Greg Brockman, President and Co-Founder, OpenAI

Tags: ai-ethics, ai-misuse, generative-ai, openai, ai, llms

Quoting Bruce Schneier

2026-07-30T18:25:26+00:00

The writing assignments I give my students are gym tasks, not work tasks. I ask them to write policy memos not because the world needs more policy memos. I assign them because the very act of writing, which includes thinking and outlining and drafting and editing, making and criticizing and revising arguments, will help develop the critical thinking skills they will need in their future careers. And without this constant mental exercise, those skills will atrophy. Employers are already noticing.

— Bruce Schneier, Should You Use AI for a Task? Here’s a Simple Way to Decide

Tags: ai-ethics, writing, ai-misuse, generative-ai, bruce-schneier, ai, llms

Quoting D. Richard Hipp

2026-07-29T21:15:21+00:00

Years ago, we didn’t have SQL. There were people whose job was to generate software that would query large data sets. Their job title was COBOL programmer.

Then SQL comes along—I’m simplifying this only a little bit—and it gives you this convenient way so people could just specify. With a very simple specification, you can generate all of that code that you had to pay the expensive COBOL programmer to do before.

That didn’t mean programmers went away. It just meant the job changed a little bit.

— D. Richard Hipp

Tags: d-richard-hipp, sql, careers

Quoting Matthew Green

2026-07-29T18:18:15+00:00

Right now we’re in the midst of a historic transition from traditional public-key algorithms based on EC-based cryptography and RSA, moving over to new post-quantum algorithms based on novel problems. This is why there are so many standards like HAWK being considered. If there was ever a perfect time for a massive new public cryptanalysis capability to come on line, we’re in it. So unless AIs succeed in undermining all of our hard problems altogether (or we live in Impagliazzo’s Minicrypt) then this could not be a better time for AI to get good at cryptanalysis. In the best case, the result is that we gain real confidence in the problems we’ve identified, and the cryptanalysis literature gets a lot more robust. Hopefully.

— Matthew Green, on Anthropic's recent cryptography work

Tags: anthropic, claude, generative-ai, cryptography, ai, llms, ai-security-research, claude-mythos-fable