Greg Clarke

Mastodon: @greg@clar.ke

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  • 19 Comments
Joined 2 years ago
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Cake day: November 9th, 2022

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  • But I don’t think it’s the best option if you consider everyone involved.

    Can you expand on this? Do you mean from an environmental perspective because of the resource usage, social perspective because of jobs losses, and / or other groups being disadvantaged because of limited access to these tools?


  • It is the best option for certain use cases. OpenAI, Anthropic, etc sell tokens, so they have a clear incentive to promote LLM reasoning as an everything solution. LLM read is normally an inefficient use of processor cycles for most use cases. However, because LLM reasoning is so flexible, even though it’s inefficient from a cycle perspective, it is still the best option in many cases because the current alternatives are even more inefficient (from a cycle or human time perspective).

    Identifying typos in a project update is a task that LLMs can efficiently solve.




  • Greg Clarke@lemmy.catoTechnology@lemmy.worldThe Generative AI Con.
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    1 month ago

    except genAI has proven no purpose

    Generative AI has spawned an awful amount of AI slop and companies are forcing incomplete products on users. But don’t judge the technology by shitty implementations. There are loads of use cases where when used correctly, generative AI brings value. For example, in document discovery in legal proceedings.



  • Greg Clarke@lemmy.catoTechnology@lemmy.worldThe Generative AI Con.
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    1 month ago

    The author seems to think that OpenAI having an unsustainable business model means generative AI is a con. Generative AI doesn’t mean OpenAI 🤦‍♂️ There is a good chance that the VC funds invested in OpenAI will have evaporated in 5 years. But generative AI will exist in 5 years, it will be orders of magnitude more useful, and it will help solve many problems.