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Even of the people invested in these tools, hype only benefits those attempting a pump and dump scheme, or those selling training, consulting or similar service
by fhd2 1y ago
Even of the people invested in these tools, hype only benefits those attempting a pump and dump scheme, or those selling training, consulting or similar services around AI.
People who try to make genuine progress, while there's more money in it now, might just have to deal with another AI winter soon at this rate.
- bluefirebrand 1y ago> hype only benefits those attempting a pump and dump scheme I read some posts the other day saying Sam Altman sold off a ton of his OpenAI shares. Not sure if it's true and I can't find a good source, but if it is true then "pump and dump" does look close to the mark
- aeronaut80 1y agoYou probably can’t find a good source because sources say he has a negligible stake in OpenAI. https://www.cnbc.com/amp/2024/12/10/billionaire-sam-altman-doesnt-own-openai-equity-childhood-dream-job.html https://www.cnbc.com/amp/2024/12/10/billionaire-sam-altman-d...
- bluefirebrand 1y agoInteresting When I did a cursory search, this information didn't turn up either Thanks for correcting me. I suppose the stuff I saw the other day was just BS then
- aeronaut80 1y agoTo be fair I struggle to believe he’s doing it out of the goodness of his heart.
- spookie 1y agoThink the same thing, we need more breakthroughs. Until then, it is still risky to rely on AI for most applications. The sad thing is that most would take this comment the wrong way. Assuming it is just another doomer take. No, there is still a lot to do, and promissing the world too soon will only lead to disappointment.
- Zigurd 1y agoThis is the thing of it: "for most applications." LLMs are not thinking. They way they fail, which is confidently and articulately, is one way they reveal there is no mind behind the bland but well-structured text. But if I was tasked with finding 500 patents with weak claims or claims that have been litigated and knocked down, I would turn into LLMs to help automate that. One or two "nines" of reliability is fine, and LLMs would turn this previously impossible task into something plausible to take on.