Office space meme:
"If y'all could stop calling an LLM "open source" just because they published the weights... that would be great."
this post was submitted on 28 Jan 2025
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I mean if you both think this is overhyped nonsense, then by all means buy some Nvidia stock. If you know something the hedge fund teams don’t, why not sell your insider knowledge and become rich?
Or maybe you guys don’t understand it as well as you think. Could be either, I guess.
Because over-hyped nonsense is what the stock market craves... That's how this works. That's how all of this works.
Ok. How does that apply to DeepSeek?
Your anti-AI talking points are so embedded with anti-Big Tech arguments, that now you can’t pivot when it’s a publicly available, communist developed, energy efficient AI.
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.