Recent submissions

Comment · 26 days ago
Much of this goes way above my head, but I found it interesting nonetheless. Q I had was why textbooks would need to be re-written? From your account it doesn't seem like results are upended, but rather confirmed?

I suppose when people do re-write the textbooks they'll say "this is confirmed now" not "if this conjecture is true...", but usually re-writing the textbooks would imply that things have been shown to be false?

May have misunderstood. Thank you for the post though, it was very interesting to someone who doesn't know much about the topic.

Comment · 2 months ago
I can't be the only person who never finds these made up dialogues funny, right?
Comment · 4 months ago
The absolute worst name for a model I've seen
Comment · 4 months ago
After plotnine, with a solid & performant (more than the R versions) Python version of Purrr and Dplyr I might never reach for R again!
Comment · 4 months ago
They weren't freaked by anything, it's a retaliatory shakedown after ideological differences and Anthropic not doing exactly what they're told/what the Admin wants them to do.
Comment · 4 months ago
After a day or so this is the first model that really feels next level compared to how Opus 4.5 felt on release
Comment · 5 months ago
Great person and great company

I hope he still gets to do some educative stuff on the side too

Comment · 6 months ago
Anthropic releases used to feel thorough and well done, with the models feeling immaculately polished. It felt like using a premium product, and it never felt like they were racing to keep up with the news cycle, or reply to competitors.

Recently that immaculately polished feel is harder to find. It coincides with the daily releases of CC, Desktop App, unknown/undocumented changes to the various harnesses used in CC/Cowork. I find it an unwelcome shift.

I still think they're the best option on the market, but the delta isn't as high as it was. Sometimes slowing down is the way to move faster.

Comment · 6 months ago
Likewise, I foolishly assumed everybody else was just doing it wrong.

But this week I've lost count of the times I've had to say something along the lines of: "Can you check our plan/instructions, I'm pretty sure I said we need to do [this thing] but you've done [that thing]..."

And get hit with a "You're absolutely right...", which virtually never happened for me. I think maybe once since Opus 4-6.

Comment · 7 months ago
This looks like a Claude-generated SVG to me, is it not?
Comment · 7 months ago
Fair push back, but I do think the LSTM vs Transformers point kinda supports my position in the limit, not refutes. Once the compute bottleneck is removed, LSTMs scale favourably. https://arxiv.org/pdf/2510.02228 (I believe there's similar work done on vanilla LSTMs, but I'd have to go digging)

So the bottleneck was compute. Which is compatible with 'data or compute'. But to accept your point, at the time the algorothmic advances were useful/did unlock/remove the bottleneck.

A wider point is that eventually (once compute and data are scaled enough) the algorithms are all learning the same representations: https://arxiv.org/pdf/2405.07987

And of course the canon: https://nonint.com/2023/06/10/the-it-in-ai-models-is-the-dat... http://www.incompleteideas.net/IncIdeas/BitterLesson.html

Scaling compute & data > algorithmic cleverness

Comment · 7 months ago
There are better techniques for hyper-parameter optimisation, right? I fear I have missed something important, why has Autoresearch blown up so much?

The bottleneck in AI/ML/DL is always data (volume & quality) or compute.

Does/can Autoresearch help improve large-scale datasets? Is it more compute efficien than humans?

Comment · 8 months ago
As a non-US citizen, I'm quite glad in the knowledge that Claude won't be used to kill other non-US citizens with autonomous weapons
Comment · 8 months ago
"Regardless, these threats do not change our position: we cannot in good conscience accede to their request."

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton