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d3m0t3p

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d3m0t3p
·10 日前·議論
They are using Qwen, so this is decoder only.
d3m0t3p
·11 日前·議論
This is exactly the same with providers from the USA.
d3m0t3p
·17 日前·議論
It was 15 years ago. Whole management got replaced, they are quite ambitious. Let's see if how this works out now.
d3m0t3p
·先月·議論
I don't think so, faster trains are overtaking slower trains. There is simply not enough space between the station to overtake without having an acceleration that would damage the trains or the tracks. For example in western switzerland the maximal train speed for the fastest trains are ~130 Km/h while the same train can go up to 200 in some swiss-german part, only due to more congestion on the western part. Trains cannot be bigger, some of them are already too big for the smaller train station and in case of rerouting / unexpected stop this causes issue. You cannot make them higher too.

You could get ride of the smaller train , only allowing big city to survive or decrease the commodity traffic or increase the rail network or increase the train station (more tracks allowing to overtake there, and have bigger trains) There is no easy solution otherwise it would have been done.
d3m0t3p
·2 か月前·議論
Interesting to see clearml but not its bigger counterpart mlflow
d3m0t3p
·2 か月前·議論
I think this is due to their AI insight, they run locally a model and it start to burn the whole computer.
d3m0t3p
·2 か月前·議論
It is really fun that the navbar has unaligned elements. (Docs is lower)
d3m0t3p
·5 か月前·議論
Yea but the goal it not to bloat the context space. Here you "waste" context by providing non usefull information. What they did instead is put an index of the documentation into the context, then the LLM can fetch the documentation. This is the same idea that skills but it apparently works better without the agentic part of the skills. Furthermore instead of having a nice index pointing to the doc, They compressed it.
d3m0t3p
·7 か月前·議論
Same, Firefox iOS
d3m0t3p
·7 か月前·議論
The model is fined tuned for chat behavior. So the style might be due to - Fine tuning - More Stylised text in the corpus, english evolved a lot in the last century.
d3m0t3p
·7 か月前·議論
Is that really the only thing you managed to remember ?
d3m0t3p
·9 か月前·議論
Because the ML ecosystem is more mature on the NVidia side. Software-wise the cuda platform is more advanced. It will be hard for AMD to catch up. It is good to see competition tho.
d3m0t3p
·9 か月前·議論
In my own studies, software engineering was mostly about structurig code, coding pattern such as visitor, singleton etc. I.E how to create a maintainable codebase
d3m0t3p
·9 か月前·議論
Would you have some literature about that ?
d3m0t3p
·9 か月前·議論
This sounds a lot like what the Muon / Shampoo optimizer do.
d3m0t3p
·2 年前·議論
I'm not complaining about the indexing (you can start the indexing by starting spotlight on and off). I'm complaining about having to search for "ghos..." instead of "term...". Because I don't don't like to remember the specific app name. But this complaint is the same for everything; when searching for Excel, I would like "Numbers" to also show up in the results. When looking for vscode I would like "Visual Studio code" to also show up, but I need to type either code, visual or studio.
d3m0t3p
·2 年前·議論
Just try it. I tried and the launch was so smooth that I'm keeping it a few days to test it. My current biggest problem is that I launch my terminal using the spotlight shortcut (⌘-space on mac) and while iterm2 is found when I search for term, ghostty isn't.