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LLM space is so cringe so much excitement from supply side and no excitement/cringe from supposed demand side
by matmulbro 3y ago
LLM space is so cringe so much excitement from supply side and no excitement/cringe from supposed demand side
- huytersd 3y agoI don’t know what you’re talking about. I use chatGPT extensively. Probably more than 50 times a day. I am extremely excited for anything that can top the already amazing thing we have now. They have a massive paying customer base.
- 4death4 3y agoWhat do you use it for?
- sjfjsjdjwvwvc 3y agoNot OP but I used it very successfully (not OpenAI but some wrapper solution) for technical/developer support. Turns out a lot of people prefer talking to a bot that gives a direct answer than reading the docs. Support workload on our Slack was reduced by 50-75% and the output is steadily improving. I wouldn’t want to go back tbh.
- dartos 3y agoI usually go to it before google now if I’m looking for an answer to a specific question. I know it can be wrong, but usually when it is, it’s obviously wrong
- kozikow 3y agoNot OP, but For me: - Writing: emails, documentation, marketing - Write a bunch of unstructured skeleton of information. Add a prompt about the intended audience and a purpose. Possibly ask it to add some detail. - Coding: Especially things like "Is there a method for this in this library" - a lot quicker than browsing through documentation. Some errors - copy-paste the error from the console, maybe a little bit for context, and quite often I get the solution. And API based: - Support bot - Prompt engineering of some text models that normally would require labeling, training, and evaluation for weeks or months. A couple of use cases - unstructured text as an input + prompt, JSON as an output.
- marstall 3y ago> "Is there a method for this in this library" more efficient than just googling "<method description> <library name>"?
- s1artibartfast 3y agoI used it to write my wedding vows
- huytersd 3y agoBased
- ipaddr 3y agoBash scripts
- huytersd 3y agoA lot of very varied things so it’s hard to remember. Yesterday I used it extensively to determine what I need to buy for a chicken coop. Calculating the volume of concrete and cinder blocks needed, the type and number of bags of concrete I would need, calculating how many rolls of chicken wire I would need, calculating the number of shingles I would need, questions on techniques, and drying times for using those things, calculating how much mortar I would need for the cinderblocks (it took into account that I would mortar only on the edges, the thickness of mortar required for each joint, it accounted for the cores in the cinderblocks, it correctly determined I wouldn’t need mortar on the horizontal axis on the bottom row) etc. All of this, I could’ve done by hand, but I was able to sit and literally use my voice to determine all of this in under five minutes. I use DALLE3 extensively for my woodworking hobby, where I ask it to come up with ideas for different pieces of furniture, and have constructed several based on those suggestions. For work I use it to write emails, to come up with skeletons for performance reviews, look back look ahead documents, ideas for what questions to bring up during sprint reviews based on data points I provide it etc.
- aantix 3y agoIt’s replaced Google for me, for most queries. It’s just so much more efficient in getting the answers I need. And it makes a great pair programmer partner.
- jay-barronville 3y ago100%. ChatGPT is used heavily in my household (my wife and I both have paid subscriptions) and it’s absolutely worth it. One of the most interesting things for me has actually been watching my wife use it. She’s an academic in the field of education and I’ve seen her come up with so many creative uses of the technology to help with her work. I’m a power user too, but my usage, as a software engineer, is likely more predictable and typical.
- deleted 3y ago[deleted]
- rogerkirkness 3y agoMicrosoft Cloud AI revenue went $90M, $900M, $2.7B in three quarters. How much more hard dollar demand growth could there possibly be at this point?
- matmulbro 3y agoit's shovels all the way down
- sjfjsjdjwvwvc 3y agoshovelling what in your opinion? Or it’s just a giant house of cards?
- cgearhart 3y agoRight now they’re shoveling “potential”. LLMs demonstrate capabilities we haven’t seen before, so there’s high uncertainty about the eventual impact. The pace of progress makes it _seem_ like an LLM “killer app” could appear any day and creating a sense of FOMO.
- shrimpx 3y agoThere's also the race to "AGI" -- companies spending tens of billions on training, hoping they'll hit a major intelligence breakthrough. If they don't hit anything significant that would have been money (mostly) down the drain, but Nvidia made out like a bandit.
- quickthrower2 3y agoI think there are enough genuine use cases. People are saving time using AI tools. There are a lot of people in office jobs. It is a huge market. Not to say it won't overshoot. With high interest rates valuations should be less frothy anyway.
- echelon 3y agoThey're selling to startups, not consumers. The good startups are building, fine tuning, and running models locally.
- Xenoamorphous 3y agoI can’t think of any software/service that’s grown more in terms of demand over a single year than ChatGPT (in all its incarnations, like the MS Azure one).
- deleted 3y ago[deleted]
- itronitron 3y agoYeah, the demand side consists solely of those that think they will be supply side.