I’m glad we agree. I don’t know how much mental energy we should devote to these things, but I guess I’m happy to see discussion on this platform. I kind of miss the days when I had to respond to people who watched I, Robot and think I’m trying to destroy humanity, instead of… I don’t know what to call this except basically the same thing they did in the 60’s before the first AI winter, but with more drastic consequences.
Actually no. As someone who prefers academic work, I very heavily prefer Deepseek to OpenAI. But neither are open. They have open weights and open source interpreters, but datasets need to be documented. If it’s not reproducible, it’s not open source. At least in my eyes. And without training data, or details on how to collect it, it isn’t reproducible.
You’re right. I don’t like big tech. I want to do research without being accused of trying to destroy the world again.
And how is Deepseek over-hyped? It’s an LLM. LLM’s cannot reason, but they’re very good at producing statistically likely language generation which can sound like its training data enough to gaslight, but not actually develop. They’re great tools, but the application is wrong. Multi domain systems that use expert systems with LLM front ends to provide easy to interpret results is a much better way to do things, and Deepseek may help people creating expert systems (whether AI or not) make better front ends. This is in fact huge. But it’s not the silver bullet tech bros and popsci mags think it is.
That… Doesn’t align with years of research. Data is king. As someone who specifically studies long tail distributions and few-shot learning (before succumbing to long COVID, sorry if my response is a bit scattered), throwing more data at a problem always improves it more than the method. And the method can be simplified only with more data. Outside of some neat tricks that modern deep learning has decided is hogwash and “classical” at least, but most of those don’t scale enough for what is being looked at.
Also, datasets inherently impose bias upon networks, and it’s easier to create adversarial examples that fool two networks trained on the same data than the same network twice freshly trained on different data.
Sharing metadata and acquisition methods is important and should be the gold standard. Sharing network methods is also important, but that’s kind of the silver standard just because most modern state of the art models differ so minutely from each other in performance nowadays.
Open source as a term should require both. This was the standard in the academic community before tech bros started running their mouths, and should be the standard once they leave us alone.
After you hit full time student, the rest of the classes are free, so I filled my schedule way too full. All my favorite teachers were in the math department too. No regrets. That and I ended up using my math skills when I switched to machine learning engineering.
That must have been cathartic as hell.
As someone with a degree in math and a degree in engineering… One of those degrees got me a job.
That being said, that’s the way engineers look at managers, as generally they want to build something that works and is safe, but all managers care about is getting it done quickly and under budget, which means any micromanaging gets pushed down to the technician to have to deal with… And trying to argue gets you fired.
It depends on how far the doctors went when they removed a part of you without permission or consent. There are levels of skin tightness that some people are on the unfortunate end of, if the doctor took an excessive amount. And in general, there are a huge number of nerves in the foreskin which are significantly more sensitive, so cut members will need more stimulation than they would have, and that can lead to chaffing when attempting to receive the same results as they could have with foreskin.
I love discord, for what it’s for. Quick synchronous talks you will never refer back to again. So not software development where indexable logs of information are necessary. I know discord has indexing, and now some form of forum. But every discord I’ve been to for development (especially modding communities) has a large corpus of synchronous logs where people get annoyed if you ask a question that was answered one before a long time ago with extremely common language making it nearly impossible to search for because the keywords have been used out of context of your question hundreds of times since the question was asked.
If the Dev communities used the forums mode in discord more, it wouldn’t always solve it, but it’d be much better. There are better places than discord for these things, but I have been trying to meet people where they’re established.
Hm. I speak like a bot, do I? Maybe I am autistic after all.
I am aware, my boyfriend and I have already had this conversation, but I guess he’s not on Lemmy, so you can’t ask him.
Yes, DeepSeek caused a drop in the stock price, but you were saying that believing that LLM’s are over-hyped would lead to having insider knowledge and could give us an advantage in the stock market. Particularly with their already tanked stock. However, the stock market fluctuates based on hype, not value, and will do whatever the fuck it pleases, so the only way to have insider knowledge is by being on a board who controls the price or by managing to dump hype into the system. That is not something a lot of people have the power to do individually.
But since you think I’m a bot and I have no way to disprove that thanks to what the world is now, I bid you adieu. I hope you’re having a good one. And stop antagonizing people for talking differently, please.
Edit: I took a look at your recent comment history, and you do come off as trying to troll and be disingenuous. If you want to have a less inflammatory conversation, you can DM me, but I do recommend you tone it down. You’re not helping anyone with how you’re approaching this, buddy.