drittich

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.

tl;dr

HN values efficiency

Perhaps that's a false dichotomy?

Also exists in LM Studio.

I played with gemma-3-4b-it-qat recently using a mid-tier graphics card and a few things stood out to me:

1. It was very fast, between 35 and 70 tokens per second, with initial response in under 200ms. That kind of speed is a feature.

2. It was very useful. I had a brainstorming session with it that was both fluid and fruitful

3. I can't wrap my head around so much knowledge being contained in about 3GB of data. It seems to know something about everything. Imperfect, but very useful.

False dichotomy. An alternate position is to do it in a measured, planned way, not under duress as the economy tanks and international relations are soured.

I think the main point stands, though, which is that you can't undo to the previous state. E.g., rolling back all tariffs/deportations/firings/budget cuts would not undo the damage done.

It's like when you are in a traffic jam. It's the other drivers fault, not you!

I am going to hazard a guess that it's because the closer the services are to your data, the easier they are to implement, and you often get great speed too. FTS in Postgres has been fantastic for me, and combining it with vector search and RAG gives you a pretty sweet deal for low effort.