Comments URL: https://news.ycombinator.com/item?id=48511468

Points: 3

# Comments: 0

This is simply untrue. Using agentic orchestration I was writing production code daily 3 years ago. Hallucinations happened sometimes and context window was smaller (so you had to do some funky workarounds to deal with larger codebases), but it was workable. There have been a lot of marked improvements from a code perspective then - a lot model related yes, but also a lot in the ease of use, interfaces, etc.

> Another thing I'd say is that you clearly have no clue what 'consumer hardware' means, or what consumers that can even get this stuff running locally would have to do to get it to even rival the frontier models in terms of their usability (most consumers are't going to just boot into Ubuntu and run this thing from a command line) flow, to say nothing of the hardware requirements.

You've moved the goalposts. My point was that the "danger" of no new open models being released isn't that high as the existing ones are already impressive. Their ease of use or daily driving isn't relevant to that. If there were a need, someone could wrap a clean interface and support around it, or run it as their own cloud solution.

You seem to be arguing something adjacent to my point, which is fine I guess but I have little to say. Also multiple of your comments have come across quite aggressive and rude. Just food for thought if you want to work on that or not.

I'm not, you've actually illustrated my point. LLMs in 2022 were very impressive. By 2024 the general public was finding them an acceptable replacement for many research driven tasks and massive shortcuts for other tasks (coding, image work, document preperation, etc).

Those models are absolutely runnable on consumer hardware now, and we were extremely happy with the results. It's no different to how we used to think CRTs were amazing or early smartphones, but going back now they seem awful.

We're long past "danger". If what we have is the best we'll ever have open source, we're already in an excellent position.

What stops you from running the best open weighted LLMs currently available on consumer grade hardware for the rest of time? They're good enough for 95% of use cases, and they don't have a used by date. From what I can see, the "danger" is not having the next tier that comes out, but the impact of that is very low.

Does anyone have a list of affected schools?

From skimming, I see at least 5 places where this is reiterated on the page.

Once I tried to help an open source project with a bug and was rejected because I didn't agree to support the Ukraine, that all sexual orientations are equal, or whatever else the long winded contributor rules were.

The issue isn't that I don't support those things, it's more that it's like someone handing me a 3 page form to fill out for picking their keys up for them.

There also may be conventions on disclosure and exploits, but they're not based on the law or rules of society.

> Carrot Disclosure, dangling a metaphorical carrot in front of the vendor to incentivise change. The main idea is to only publish the (redacted) output of the exploit for a critical vulnerability, to showcase that the software is exploitable. Now the vendor has two choices: either perform a holistic audit of its software, fixing as many issues as possible in the hope of fixing the showcased vulnerability; or losing users who might not be happy running a known-vulnerable software. Users of this disclosure model are of course called Bugs Bunnies.