981–990 of 1001 posts
Am I the only one who isn't impressed by this? Grok3 is failing basic OCR, react/sql coding excercises that Sonnet and Gemini completes successfully. I'm also skeptical of lmarena as there is a large number of Elon Musk zealots trying to pass off Grok as a proxy for Tesla shares.
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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-...
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The impression seems to be warranted: Grok 3 has directly jumpted to the top of all leaderboard categories in Chatbot Arena: https://lmarena.ai/?leaderboard In math it shares the top spot with o1 and is just a few points behind (well within errors). In creative writing it is basically ex-aequo with the latest ChatGPT 4o and in coding it's actually significantly ahead of everyone else and represents a new SOTA.
What do we do to assess the intelligence of these models after they are smarter than any human? From the kinds of questions it's answering seems like they are almost there. Do we have a way to tell if one model is smarter than another at that point?
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There was this joke about rich Russians that I heard maybe 25 years ago. Two rich Russian guys meet and one brags about his new necktie. "Look at this, I paid $500 for it." The other rich Russian guy replies: "Well, that is quite nice, but you have to take better care of your money. I have seen that same necktie just yesterday in another shop for $1000."
Can you explain that joke for me? I keep reading it and I don't get it.
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What do we do to assess the intelligence of these models after they are smarter than any human? From the kinds of questions it's answering seems like they are almost there. Do we have a way to tell if one model is smarter than another at that point?
Almost there? Are we looking at the same thing?
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There was this joke about rich Russians that I heard maybe 25 years ago. Two rich Russian guys meet and one brags about his new necktie. "Look at this, I paid $500 for it." The other rich Russian guy replies: "Well, that is quite nice, but you have to take better care of your money. I have seen that same necktie just yesterday in another shop for $1000."
Can you explain that joke for me? I keep reading it and I don't get it.
Interesting thing about this is that because of all the Musk-related overhyping that's gone on and because the launch is a video, the thread that marks the entry of another company into the select group of serious AI companies will go off the front page with possibly only 200 points!
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The only plausible explanation for the amount of resources poured into these language models is the hope that they somehow become the origin of AGI, which I think is pretty fanciful. I can feel the cold wind of the next AI winter coming on. It's inevitable. Computers are good at emulating intelligent behavior, people get excited that it's around the corner, and the hype boils over. This isn't the last time this will…
I think this still applies https://x.com/dwarkesh_sp/status/1888164523984470055 , LLMs now are useful but we need something else for AGI.
Interesting thing about this is that because of all the Musk-related overhyping that's gone on and because the launch is a video, the thread that marks the entry of another company into the select group of serious AI companies will go off the front page with possibly only 200 points!
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