Absolutely, I haven’t seen anyone in this thread say anything suggesting otherwise, everyone deserves that. But that means not throwing people out of a university without evidence.

I don’t know about this case, if that is true then its terrible and he should have been arrested, convicted and thrown out of the university. But the larger point stands, denying some people of due process because others are harmed in other ways is not something to strive for.

So two wrongs make a right? This person had their life horribly disrupted for reason A so an unrelated person should have their life horribly disrupted for reason B?

People should not be subject to arbitrary harm from others and we should be against all forms of it, whether that’s sexual assault, economic coercion or lack of due process.

The “sharks” are actually Russian submarines.

Well sure, but a pre buyout hugging face would have too, you dont get to say no to the US government if it decides to throw its weight around and you want to do business in the west.

if you’re willing to lie why even bother with that, just make up the results wholesale. Polling companies don’t because their entire business relies on their reputation.

1000 people is enough to get a good estimate of opinion providing it is sampled well. Its one of the counter intuitive results of statistics that a few thousand opinions is enough to get a small percent margin of the average opinions of the sampled population no matter its size. The trouble with polling is that “average opinion of people who answer polls when asked” is not “average opinion of the group that you want to represent”, the whole art of polling is in finding the mapping between those two groups. But that isn’t helped by polling 10 or 100 thousand people instead of 1000.

Well done you, so am I as it happens, but that doesnt change that the vast majority of LLMs are running on Nvidia cards so they still would be suppressing demand for their own product. talking about subscription fees is just nonsensical here, hugging face is a mirror to host other people’s weights, if they started charging people to just download (as opposed to running models, which they already seem to have a decent business for) people would like choose to host their weights elsewhere.

Those go against pro-corporate values (at least the ones that they outwardly want to show). Currently your only choice are let the corporations pick what is acceptable for you, or have an anything goes model and take responsibility for yourself.

Why would Nvidia want to ban people from downloading things that need their products to run? They dont even run the risk of reputational damage from other people running scary uncensored models on their own hardware.

The issue there is that yo are using a model that is well behind the frontier for coding (google havent released a new pro model for a year now) and using the chatbot interface. When people talk about using LLMs for coding it is using agents that can take action, see when things go wrong, do their own research and correct their failures. If you had been doing that I doubt you would have lost a day having to fix things up.

You still might have had to do the work by hand, thats an outcome that can happen, but it would have got to the point of “this service cant do that” by itself without time wasting back and forth with you.

Brain rot comes for us all, human or fly.

The “original sense” of AI is that it was the term used by computer scientists as an umbrella term for efforts into machine decision making. It didn’t turn into HAL from 2001 or EDI from mass effect for decades after that.

If Elon musk contributed 90% as much as all of Germany would you be equally happy saying Germany’s 80 million people held more responsibility than Musk for their emissions? Per capita is the only measure that makes sense as it is how much each person is contributing.

Another way of looking at it, Yunnan creates far less CO2 than the USA so by your logic the USA is worse than it. Repeat for every other Chinese province.

They are not only using human written data any more. Reinforcement learning through human feedback (RLHF) is a big part of it now, that’s the AI running through a problem multiple times with a human picking the best attempt and then using that best attempt as training data going forwards. The model collapse stuff from a few years ago was from an AI repeatedly ingesting its own input with no guidance over many training iterations.

Neither python or JS are “rigidly” OOP, they have support for them but you can very easily do functional or imperative programming in either. out of those I believe Java is the only one that “rigid OOP” is a fair descriptor for, and I could be wrong on that as its not a language I’ve used (c# which I have and started as essentially microsoft Java has moved away from that style by incorporating numerous functional features from f#)

huh fair enough, I hadn’t seen those before, they’re from before deepseek made a name for themselves (which as you say was with R1). They are very out of date though, as is R1 (from the end of 2024 and start of 2025 respectively). the current set of models from Deepseek come in 291B and 1.6T varieties and the previous version only was released in 685B

You’d almost certainly be better off upgrading to qwen or Gemma4 for a local model of that kind of size.

You almost certainly weren’t using a Deepseek model offline (unless you have 100s of GB of RAM/VRAM). You might have been using a small model distilled on Deepseek responses, but the smallest model made by Deepseek is about a 300B param model.

Honestly, as long as the functions you are creating are pure and reasonably named, I think its pretty much always a win to wrap any coherent operation up into one.

I’ve done this for a game I play. I’ve no interest in learning unity, but had a bunch of mods I’d like to make that are more than config edits. I was able to vibe code about 5 of them in an evening or two that do exactly what I want. They’re probably terrible code, but nothing else is built on top of them, I’m not distributing them and if they break they break no big deal. So pretty happy with it.