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jpcompartir

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jpcompartir
·18 日前·議論
The absolute worst name for a model I've seen
jpcompartir
·18 日前·議論
After plotnine, with a solid & performant (more than the R versions) Python version of Purrr and Dplyr I might never reach for R again!
jpcompartir
·25 日前·議論
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.
jpcompartir
·先月·議論
After a day or so this is the first model that really feels next level compared to how Opus 4.5 felt on release
jpcompartir
·2 か月前·議論
Great person and great company

I hope he still gets to do some educative stuff on the side too
jpcompartir
·3 か月前·議論
[flagged]
jpcompartir
·3 か月前·議論
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.
jpcompartir
·3 か月前·議論
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.
jpcompartir
·4 か月前·議論
This looks like a Claude-generated SVG to me, is it not?
jpcompartir
·4 か月前·議論
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
jpcompartir
·4 か月前·議論
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?
jpcompartir
·4 か月前·議論
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
jpcompartir
·4 か月前·議論
"Regardless, these threats do not change our position: we cannot in good conscience accede to their request."
jpcompartir
·5 か月前·議論
This is great, brings clear benefits to both sides and the rest of us.

Always rooting for Hugging Face
jpcompartir
·5 か月前·議論
Yep, Gemini is virtually unusable compared to Anthropic models. I get it for free with work and use maybe once a week, if that. They really need to fix the instruction following.
jpcompartir
·5 か月前·議論
Thanks for the long and considered response, but this is a really ugly UX decision.

As others have said - 'reading 10 files' is useless information - we want to be able to see at a glance where it is and what it's doing, so that we can re-direct if necessary.

With the release of Cowork, couldn't Claude Code double down on needs of engineers?
jpcompartir
·5 か月前·議論
Yeah 100%

This won't change my decision, but it is still impeccable timing
jpcompartir
·5 か月前·議論
This is great, not 10 minutes before this outage did I present Railway as a viable option for some small-scale hosting for prototypes and non-critical apps as an alternative to the Cloud giants
jpcompartir
·5 か月前·議論
4.6 is a beast.

Everything in plan mode first + AskUserQuestionTool, review all plans, get it to write its own CLAUDE.md for coding standards and edit where necessary and away you go.

Seems noticeably better than 4.5 at keeping the codebase slim. Obviously it still needs to be kept an eye on, but it's a step up from 4.5.
jpcompartir
·6 か月前·議論
I've been working with a claude-specific directory in Claude Code for non-coding work (and the odd bit of coding/documentation stuff) since the first week of Claude Code, or even earlier - I think when filesystem MCP dropped.

It's a very powerful way to work on all kinds of things. V. interested to try co-work when it drops to Plus subscribers.