drittich

I love this and feel it would be greatly enhanced with semantic search.

I have the opposite experience. Plex, nextcloud, minecraft servers, and ~10 websites are all hosted on a Beelink N100. It stays cool and quiet.

Interesting - have you done MiMo-v2.6-flash?

Often the smartest thing is to do nothing.

API Error: 529 Overlorded

Things like the number of GPU layers, whether to use flash attention or not, enabling MTP, playing with context size.

There are certainly challenges. When setting up a new model, I get AI to walk me through the commands using llama-benchmark that determine the best parameters for my particular configuration and needs. Once you've got that it's pretty easy to port those parameters to llama-server. It takes me about an hour to run through this process. It would be great if there was a registry of hardware, models, configuration parameters, and resulting tokens per second. Maybe one day we'll get there.

And I thought I was killing it just saving some install disk images!

Nanobanana for scale.

Or do they? https://www.youtube.com/watch?v=EMNqJQaf08E

...is the camera you have with you.

I used to invent TLAs on the spot for fun, and when someone asked what it was, would respond, "It's a PUA", eventually revealing that meant "previously unknown acronym". It was even more annoying that it sounds.

I think the point is to reproduce the sound of those hundreds of feet of standard run-of-the-mill cabling as faithfully as possible ;)

Voice is everything. Don't relinquish the best part of yourself.

I think it's time for an https://hotornot.com for AI models.

Tell me why they only support Google Pixel phones, v6 through 10.

Yes, shower thinking with warm water on my neck is absolute peak. In those conditions I'm unafraid of tackling the most challenging of thinking.

And of course you can now run local LLMs on your phone as well.

Also a musician and I don't think it's that amusing. IMO this isn't an "AI can't be art" discussion. It's about the fact that AI can be used to extract value from other artists' work without consent, and then out-compete them on volume by flooding the marketplace.

Your description matches my recollection exactly.

Do you have a standard prompt you use for this? I have definitely seen agentic tools doing this for me, e.g., when searching the local file system, but I'm not sure if it native behaviour for tool-using LLMs or if it is coerced via prompts.

This sounds interesting. What about the agent behavior itself? How it decides how to come at a problem, what to show the user along the way, and how it decides when to stop? Are these things you have attempted to grapple with in your framework?

Yes, came to the same conclusion - it's a pain, but solves the problem permanently.

We all just feed the LLMs now.

Looks like it comes from Scientific American: https://spaf.cerias.purdue.edu/~spaf/Yucks/V5/msg00004.html

And recording software applications to cassette off the radio!

I cut my teeth on that language, and still keep a Commodore PET around for old times sake.

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Reference: https://ai.google.dev/gemini-api/terms

For younger users of the internet, it's hard to overstate how omnipresent the AOL brand was. The marketing team was on overdrive, all the time. And their marketing CDs probably caused a noticeable increase in CD-ROM adoption.