323 karma · joined April 2, 2012
This is an OpenPGP proof that connects my OpenPGP key to this Hackernews account. For details check out https://keyoxide.org/guides/openpgp-proofs [Verifying my OpenPGP key: openpgp4fpr:E3A878624A8C0A996D1926F2033C1FEBE1ED3881]
The size of the quantization you chose also makes a difference.
The GPU driver also plays an important role.
What was your approach? What software did you use to run the models?
This has also been my experience. But isn't the harness sending the instructions on how to invoke a tool? Maybe it is missing the formatting part. What do you think?
I have tried the same approach with Kimi K2.5 and GLM 5 but I keep going back fo Qwen3.
I also have access to Perplexity which is quite decent to be honest, but I prefer to keep everything in Kagi.
1: https://help.kagi.com/kagi/ai/assistant.html#available-llms
Is this fine-tunning process similar to training models? As in, do you need exhaustive resources? Or can this be done (realistically) on a consumer-grade GPU?
I can only speak for myself: it can be daunting for a beginner to figure out which model fits your GPU, as the model size in GB doesn't directly translate to your GPU's VRAM capacity.
There is value in learning what fits and runs on your system, but that's a different discussion.
Does anyone have an idea as to why this would be a feature? don't you want to have a discussion with your agent to iron out the details before moving onto the implementation (build) phase?
In any case, looks cool :)
EDIT 1: Formatting EDIT 2: Thanks everyone for your input. I was not aware of the extensibility model that pi had in mind or that you can also iterate your plan on a PLAN.md file. Very interesting approach. I'll have a look and give it a go.
They paid for the access the same as any other.
If anything, this makes them more legit than Anthropic because they are paying for the content, whereas Anthropic just stole *all* the data they got a hold of. So, in this case the Chinese AI labs stand on higher moral ground LOL.
I see that not all models available in my Github subscription are available (all models should be visible).
Further, is it possible to use openrouter with the current implementation? I couldn't figure it out by reading the documentation alone.
Thank you!
Have you investigated more on this topic? like, anything similar in concept that competes with Serena? if so, have you tested it/them? what are your thoughts?
The whole immutable distro felt like a hinder for my workflow (running docker containers, etc.), so that's why I went for CachyOS.
But with the enshitification of Windows (first all the spam and ads on the Start menu, then Microsoft forcing you to have an account to be able to use the machine and the expensive license for Windows Professional if you want access to Hyper-V, which I did), I did some research, tried a few new distros (Manjaro, Bazzite and CachyOS) and settled for CachyOS (gaming support was the main driver, based on Archlinux was secondary).
I do everything I did on Windows and some more: all the terminal stuff plus browsing, CAD modeling, 3D printing / slicing, Office stuff... I miss nothing. No more double partition to boot into Windows when I want to game.
My RX 9070 XT runs smoothly with no driver issues whatsoever. I even have tested the waters running some LLMs with LM Studio and that also worked out of the box.
The only thing that has been a bit meh are Teams and Slack and I believe that has to do with the fact that I ran them in Firefox. Once I ran Slack on Chromium, noise canceling was again available.
2009 was the year of Linux on desktop for me. 17 years later, after going back and forth between macOS and Windows, it feels good to be back home.
One last note in my random ramble is that I do not have as much spare time as before, and I had heard this from other people back in the day whenever I'd say I ran Archlinux on my machines, so I am going to repeat what others have said to me: it's really nice to not have to worry about much, be able to sit down and get productive right away. To me, CachyOS and KDE have made that idea my actual experience and for that I am grateful.
Has this also been your experience?
When I was in college I didn't have my own computer so I relied on the Windows machines from the library.
That's when I discovered Slax and Puppy Linux [1] and all its different variants. Such a beautiful thing to boot into these pendrive distros and discover the world of Linux through them without altering the host system.
Good times.
It supports multiple images at the same time, unlike the other solutions where one image take over the whole USB stick.
Love it.
It should be easy to do with thr Github CLI tool and some bash scripting.
Not sure how easy it'll be to parse the logs to look for a base64 string but it shouldn't be that complicated either.
The longer you use it, the cheaper it gets.
If they are talking about an individual cell with a nominal voltage of 3.7V, then "any" modern fast charger will do.
I don't think they were talking about a full-blown EV power bank.
Others have mentioned Signoz which I have tried but for my homelab it just feels like too much.
OpenObserve might be the solution that I have been looking for.
Imagine being a criminal and now you want to find your victim's personal information and you directly call Skatteverket...
Less compelling than going to hitta.se from a public, open wifi network