this post was submitted on 28 Oct 2024
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As a fervent AI enthusiast, I disagree.
...I'd say it's 97% hype and marketing.
It's crazy how much fud is flying around, and legitimately buries good open research. It's also crazy what these giant corporations are explicitly saying what they're going to do, and that anyone buys it. TSMC's allegedly calling Sam Altman a 'podcast bro' is spot on, and I'd add "manipulative vampire" to that.
Talk to any long-time resident of localllama and similar "local" AI communities who actually dig into this stuff, and you'll find immense skepticism, not the crypto-like AI bros like you find on linkedin, twitter and such and blot everything out.
After getting my head around the basics of the way LLMs work I thought "people rely on this for information?", the model seems ok for tasks like summarisation though
I don’t love it for summarization. If I read a summary, my takeaway may be inaccurate.
Brainstorming is incredible. And revision suggestions. And drafting tedious responses, reformatting, parsing.
In all cases, nothing gets attributed to me unless I read every word and am in a position to verify the output. And I internalize nothing directly, besides philosophy or something. Sure can be an amazing starting point especially compared to a blank page.
That and retrieval and the business use cases so far, but even then only if the results can be wrong somewhat frequently.
It's good for coding if you train it on your own code base. Not great for writing very complex code since the models tend to hallucinate, but it's great for common patterns, and straightforward questions specific to your code base that can be answered based on existing code (eg "how do I load a user's most recent order given their email address?")
It's wild when you only know how to use SELECT in SQL, but after a dollar worth of prompting and 10 minutes of your time, you can have a significantly complex query you end up using multiple times a week.