471–480 of 768 posts
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In particular, it's odd that the greatest software developer in the world (ChatGPT) hasn't made progress with LLM swarm computation.
How is "LLM swarm computation" different that single bigger LLM?
From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…
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Amen. It outrages me that someone would waste my time making me listen to a regurgitated, averaged-out, speech written without any emotional fire or depth at an occasion that is profoundly meaningful. A speech as a best man should be personal, heartfelt, it should be funny and a little cringy maybe, and it should mean something. Same with eulogies; this is a moment to celebrate someone's life, to state what that pers…
Some people are just bad at this kind of thing, and sometimes saying nothing is not an option if there is a social expectation that you say something. Which can create a lot of anxiety.
And I'm sure you can still make something heartfelt with the help of a chatbot, but I'm afraid that people won't.
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English speakers tend to miss a huge use case: Translation.
A 'use-case' done worse with LLMs especially with reliability. Translation is already done without a hallucinating LLM and can be done offline. Summarization of existing text is the *only* safe and serious use-case for LLMs.
The use-case is anything where occasional bullshit output is an acceptable downside to speeding up. More reliable outputs will enable more use-cases.
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You don't need a full-blown LLM to find answers to questions on StackOverflow. You can do that today with any search engine. > "I’ve even gotten it to walk me through things like installing WSL 2 without using the Microsoft Store after I nuked all Appx packages." That's a search engine query you can issue already today, without involving any LLMs. It will cost a fraction of the cost of running this with an LLM, and i…
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1. Cost: it's much easier to build and serve a traditional search index for questions/answers at scale
2. Speed
3. Quality: with search engines you don't just get one answer (you get a spectrum of answers). You have access to the "source" of those answers, which often include additional data that can help you choose the most appropriate solution to a problem.
In this specific case, the "horse" is the LLM - and the "car" is the traditional search engine with modern indexing technologies. But please, don't let simple textbook facts about technology take you off your trip.
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That's very cool, and right now it's a good idea, but I strongly suspect GPT only looks clever and does a good job in isolation . If everyone starts using it product announcements will start looking very similar, and they'll lose a lot of their impact. This is definitely the case with cover letters for jib applications. The ones written by GPT appear to be pretty obvious - my guesses could be wrong, but after seeing…
I find it interesting it’s very hard to make it do typos. The type of errors humans make. It can do typos but even those seem weird. If I push it to make errors it either over- or undershoots. The “correctness” of it is a definite give away IMO.
I am sure it can at least do very common mistakes like it's vs its or "would of" if prompted right since there's a huge body of that kind of work. Or maybe a human needs to add the finishing touches to make it look more human. :)
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For translations, I use Google translate. Should I switch?
Yo, check this out! DeepL is like way better than Google Translate, so you should totally use it. But, GPT-4 is like a game-changer, dude! It's obvi way better than DeepL, and it can do all sorts of stuff like rewording, explaining in detail, and changing up the style. This text was translated from Japanese to gamer-style English by ChatGPT-4, no joke!
From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…
Text redaction - if any part of job is about writing, you can now just brain dump everything, structure it more or less, throw into chatgpt, and make it produce a clear and readable article. In my case, the output is better than anything I would ever write. Ditto all the redacting work in newspapers, intranet etc. The whole field of proofreaders was virtually extinguished overnight. Marketing agencies - and I spoke t…
Nevertheless offline models should alleviate some of this.
From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…
From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…
Most impactful is how it destroys the blank page/getting started barrier, second how easy it is to substantially change/adapt/refocus produced work.
It is like having an incredibly efficient, patient and encyclopedic junior collaborator 24/7 at your disposal. It can't be trusted to fully automate without knowledgeable supervision, but it saves a boatload of time and effort.