Bootvis

Joined 16 years ago

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3,670
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1,013
Member since
Jun 12
Mail: [email protected]

Project: ibexlang.org // Fast data frames

Blog: bobjansen.net

Moderator at http://quant.stackexchange.com

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Recent submissions

Comment · 8 days ago
Your own comment:

> It was certainly assisted by AI, but there isn't an agent out there that does that kind of cheating without deliberate prompting by the operator.

We can agree that the pgrust project messed up and should have been more careful but your blanket statement lacks support.

Comment · 8 days ago
Anecdote: I have seen it cheat / bend the rules with my own eyes.

In hindsight, this shouldn’t be surprising. The prompt requests to make a certain operation faster, the LLM will try to find a way and isn’t even informed on the wider context so it myopically chases the goal.

Comment · 11 days ago
You can buy CDS on Oracle, as many did already.
Comment · 25 days ago
I don’t think the apps are ugly at all but the kerning of the first letter of the headers feels very off on the website. Maybe it’s intentional but I find it distracting and inappropriate for a note taking app. (latest iOS, Firefox, iPhone 17)
Comment · 28 days ago
Comment · 1 month ago
The early GPTs were supposedly reasonable at chess but it indeed is not a very useful skill to have for an LLM (Elo 1800 IIRC) which is stronger than most players and for them it could be a useful tool.

Even at higher levels, I think there could be use. The Dvoretsky example on my GitHub is real but it’s not a guarantee you get it and it could just be reiterating from training. What didn’t work for me was forcing it to look at lines in detail, but maybe with larger context and better engineering, you can get the LLM to extract themes from the search tree. With compare and contrast, it could maybe figure out why a move works in one variant and not in another and produce a coherent explanation of this nuance.

I’m not trying this yet because it would take a lot of tokens and I don’t have the time.

Comment · 1 month ago
Already a year ago I vibe coded Babelfish: https://github.com/bobjansen/Babelfish

It integrates an LLM of your choice with StockFish to analyze games. Back then, the results weren't very good and I abandoned the project but a lot has changed (the LLM's got better and I did too) so maybe it is time to take another stab at it.

Comment · 1 month ago
In the examples above, that’s really your own loss? There will only be one or two events in your local village, it seems self defeating to ignore what they offer because you don’t like the medium. At least these posters are well laid out and easy to read.
Comment · 1 month ago
Nothing was derailed, they put pipes on the rails that tricked the system into believing there was a train on the track, shutting it down
Comment · 1 month ago
GP is saying it’s not a very good one.
Comment · 1 month ago
Everyone in AI used to know this.
Comment · 1 month ago
It’s a joke. Mt. Scenery is in the Caribbean, part of the Netherlands but not in the flat mainland.
Comment · 1 month ago
That’s an API design question. What is the more common use case.

You seem to suggest they did it for benchmarking reasons only. They could use the option there themselves without changing the default so that is unlikely to be the motivation.

Comment · 1 month ago
Or you know, just better performance for people that know how to use their tool of choice.

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