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Julien_r2

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Julien_r2
·il y a 5 mois·discuss
Seems to be simple enough (just plain JS not minimified, and CSS), that you can just look at the source view-source:https://www.clocksimulator.com/

Good ol' days spirit
Julien_r2
·il y a 8 mois·discuss
I could imagine that even a small task at NASA might involve more knowledge and logic than the smallest task for a Hanoi's tower problem.

Depends on what is considered as small enough for the LLM to be resolved with a high confidence.
Julien_r2
·il y a 8 mois·discuss
If the framework is used, eventually there will be 3rd party lib adding new features (from the top of my mind, maps), and someone will need to write the bridging with the native SDK. It means the bridge will most likely need to be written in objective-C instead of Swift
Julien_r2
·il y a 9 mois·discuss
I actually hope to find better answers here than on cursor forum where people seems to be basically saying "it's you fault" instead of answering the actual question which is about trust, process, and real world use of agents..

So far it's just reinforcing my feeling that none of this is actually used at scale.. We use AI as relatively dumb companions, let them go wilder on side projects which have loser constraints, and Agent are pure hype (or for very niche use cases)
Julien_r2
·il y a 12 mois·discuss
Arf seems I'm one of those :).. thanks for the heads up!
Julien_r2
·il y a 12 mois·discuss
Super good idea!!

Luc Julia (one of the main Siri's creators) describe a very similar exercice in this interview [0](It's in french, although the au translation isn't too bad)

The gist of it, is that he describes this exercice he does with his students, where they ask chatgpt about Victor Hugo's biography, and then proceed to spot the errors made by Chatgtp.

This setup is simple, but there are very interesting mechanisms in place. The student get to learn about challenging facts, do fact checking, cross reference, etc. While also asserting the reference figure of the teacher, with the knowledge to take down chat gpt.

Well done :)

Edit: adding link

[0] https://youtube.com/shorts/SlyUvvbzRPc?si=2Fv-KIgls-uxr_3z
Julien_r2
·l’année dernière·discuss
Reminded me of this job offer from the city [0], 2 years ago! Seems it paid off then!

Searching for this post, I ended up scrolling through the HN result of "new York rats" [1]. It paints quite a story! Couldn't imagine it was such an intense topic (running for more than a decade!)

[0] https://news.ycombinator.com/item?id=33819860

[1] https://hn.algolia.com/?q=new+York+rats
Julien_r2
·l’année dernière·discuss
A pro could have been an extra narrative about carbon footprint savings.

I'm surprised it hasn't been raised when talking about saving 2Tb/year only for React. It represents costs, which doesn't seem to be an issue, but also computing power and storage. (Event with a higher/longer computing power due to slower compression, it's done once per version, which isn't really comprable to the amount of downloads anyway)

Hard to calculate the exact saving, but it would represent a smaller CO2 footprint..
Julien_r2
·l’année dernière·discuss
Which is, then, supporting the fact that scale matter, isn't it?

Here the scale of time is larger and does make the 5$ significant, while it isn't at the scale of a few days.