471–480 of 1001 posts
The story about how they made this happen in such a short period is impressive to say the least. Elon’s strength seems to be making things happen. Getting the largest computer cluster in the world up and running in a matter of months? Unbelievable.
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I have a close friend working in core research teams there. Based on our chats, the secret seems to be (1) massive compute power (2) ridiculous pay to attract top talents from established teams (3) extremelly hard work without big corp bureaucracy.
It was mentioned during the launch that current datacenter requires up to 0.25 gigawatts of power. The datacenter they're currently building will require 1.25 (5x) (for reference, a nuclear powerplant might output about 1 gigawatt). Will be interesting to see if the relationship between power/compute/parameters and performance is exponential, logarithmic or something more linear.
IIRC achieving full AGI requires precisely 1.21 jigawatts of power, since that's when the model begins to learn at a geometric rate. But I think I saw this figure mentioned in a really old TV documentary from the 1980s, it may or may not be fully accurate.
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You don’t understand the Musk business model. It has been the same for years. His wealth doesn’t come from his products, but from his fanbase buying his stock. The purpose of everything he does is to influence the public opinion to make him the tech genius of today in the collective psyche. Of course, he needs to do impressive things, stuff that a normal person wouldn’t have the resources to achieve. It’s similar to…
>his fanbase buying his stock That doesn't make sense as most (66%) of the stock is owned by institutions. [1] [1]: https://www.marketbeat.com/stocks/NASDAQ/TSLA/institutional-...
Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…
Start from here : Stop using Google search and use an AI. No more irrelevant results, no more ads. No more slop to wade through. BTW I find Claude is great at making graphs and diagrams. If you pay ($20) you can hook it up to a local code base.
Huh? More like "slop exclusively generated for you", right? I have seen so much garbage answers from chat AIs.
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Neither seem to be that the OP was lying, but I understand you have a different opinion than they do.
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I asked it to pretend that it's in charge of world government. Here's the whole thing (it got very lengthy): https://gist.github.com/int19h/d90ee1deed334f26e621e57b5768e... Some choice quotes: "The ultimate goal is to enhance human flourishing, protect individual rights, and promote global equity." "The system must account for diverse cultures, languages, and socioeconomic conditions, ensuring no group is marginalize…
Quite a mix of various talking points both from the extreme left and right. Left: - promote global equity - a globally representative body of humans, elected or appointed based on merit and diversity - Establish global standards for environmental protection, enforced through [...] - Transition to a resource-based economy, where resources are allocated based on need, sustainability, and efficiency, rather than profit…
Also I doubt a "resource-based economy" would target YOUR showers specifically. It would probably target stuff like farming thirsty crops in water-deficient areas or similar very inefficient and short-termist allocations of resources, that are bound to create severe issues in the near future.
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I'm very sorry if this isn't the case, but this message really feels LLM-written.
I often write things I want to post in bullets and then have it formulated better than I could by an LLM. But its just applying a style. The content comes from me.
My wife is dyslexic so she passes most things she writes through ChatGPT. Also not everyone is a native speaker.
Karpathy gave his initial impression: https://x.com/karpathy/status/1891720635363254772 The pull quote is: The impression overall I got here is that this is somewhere around (OpenAI) o1-pro capability
Naive question from a bystander , but since DeepSeek is open source and is on par with o1-pro (is it?), shouldn't we expect that anybody with the computer power is capable to compete with o1-pro?
o1-pro is "o1 on steroids" and was the first selling point of the $200/month Pro subscription but they later also added "Deep Research" and Operator to the Pro subscription.
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I keep hearing about Claude's impressive coding skills (compared to its benches) yet, not evident for me (I use the web version, not cline). Compared to 4o it's not that great.
Lol no company is making money using 4o, however thanks to claude sonnet programms like Cursor are usable lol. 4o agents suck, just try it instead of talking