Gamers Nexus's 3-hour GPU smuggling documentary is finally back up after being fraudulently DMCA'd by Bloomberg. Go give them a watch to try to make up for the lost traction!
a year ago by hakase to c/technology
It’s not that surprising that an outlet that makes its entire living on a certain segment of the economy would do a better job in that segment than generalist journalists.
If you’ve ever seen a news article about something you have real world expertise in, you know what I mean. Every time this happens to me I’m like “but they’re giving it such a surface treatment, missing the real point, and getting lots of little things wrong.”
Then I turn to the next article and read it like it’s gospel. It’s a cognitive dissonance I don’t know how to deal with except by becoming an expert in everything, which is impossible.
I hate to bring up AI, but this is exactly what I keep trying to explain to people - when you ask any of these bots questions about things you're an expert in, you see all the flaws. The trouble is people tend not to ask questions about things they already know...
Since we first got easy access to various LLMs, I've been doing the opposite, asking obscure questions I know the answer to, trying to get a better understanding of what various models are really (not) capable of, and what data they're (not) trained on, but it seems that you're right and I'm in a minority. Most people treat the only LLM they know of as an oracle, and don't seem to understand that it can write with confidence and still be incorrect. I've seen countless examples of just that, some funnier than other, so to me it has always been very obvious. It's possible that using GPT-2 (back in the talktotransformer days), which was not configured for chat-style conversation but rather just to generate a continuation to the user's input text, has actually helped me understand LLMs better and avoid using them in that common naive way, but I'm not sure how to make it just as clear to everyone else...
What bugs me the most is I've pointed it out to people in conversations that basically go like this:
Me: You used it for X and caught mistakes - why are you trusting it for Y? Them: That's a good point.
And then they keep doing it anyway.
I'm not an AI hater at all - it can be a great way to accelerate work you are capable of doing on your own. But using it for things you don't understand, and/or not double checking its work is insanity.
I tried to use an LLM to write a script for me. It confidently told me I could split a string in OpenSCAD with the [1:] operator. It works in Python, but isn't an OpenSCAD feature.
Fortunately, programming has a good way of letting you know when the LLM is completely wrong.
The worrying part is that the LLMs can sometimes produce code that runs, but has massive security issues that you don't notice if you just run the code and don't closely analyse it.
100%. I'm a microbiologist so I asked ChatGPT to teach me about CRISPR. It was not great.
Corrupt.
Why not both?
Oops, thanks, I was watching it on my phone and grabbed the wrong link from Duckduckgo. I've corrected the link to point to their video.
Note that it is back up - I'm watching it on their channel on my phone right now.
Seems it is back on GN’s page: https://youtu.be/1H3xQaf7BFI
I've had it on loop (on a muted tab) for the past 2 days.
starshipTroopersImDoingMyPart.gif
I never even thought about data smuggling. China isn't allowed to buy Nvidia GPUs? Ok then China will have someone maintain the Nvidia servers in another country and remote into it to run their AI models.
Norway, last week: Completely scammed: Thieves made off with "AI chips" worth several million kroner (googa translade)
I'll shill for them - if you play DND, the dice set is sick. Nice wooden case too (but the fit is a little jank, the lids don't sit flush). Still, it's an eye pleaser.
This is exactly my experience with their dice sets. I got the transister dice, but I think the cat dice use the same box.
Already watched it when it came out, I guess I'll play it in the background while I work, muted, to help the algorithm.
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This was legitimately fascinating. It’s crazy that Bloomberg reported on the same issue and didn’t find anything. Their reporters are terrible at their jobs or were prevented from doing them properly. Either way Bloomberg looks inept or corrupt.
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