Reminder that Nvidia is still the only company making any money out of the "AI revolution".
I see it playing out one of two ways. Either Nvidia are selling shovels in a gold rush, the rush will end, and the business will dry up (after they have made a lot of money!). Or AI sticks/takes off, and Nvidia are selling a commodity too far from the value, like most electronic component manufacturers, and they'll maintain significant market share but have their margins reduced to a fraction of what they were before (after they made a lot of money!).
The human value doesn't come from ML training or inference, it comes from taking a better photo. The business value comes from drafting a better email. Those companies closer to that value will likely do better in the long run, as they always have done.
Midjourney is profitable. All the acquired startups (i.e. Streamlit or MosaicML) who made millions per employee "made money" for the people who cared.
OP was likely talking about profitability.
FWIW I wouldn’t really count streamlit as an ai company
Also Klarna threw out 700 people, they probably make money with AI.
And i found this article: https://www.ft.com/content/a9a192e3-bfbc-461e-a4f3-112e63d0b...
There was never ever any technology like LLMs close to what chatgpt and co can do in regards of understanding random human input.
My startup doesn't need to make money with it directly, but for us it increased our data quality on text and images.
I'm also quite happy to pay 10-20$ per month for random things LLMs do quite well for different use cases like creating some scripts etc.
There is a reason why CUDA works on every NV gpu but ROCm support is spotty at best and only guaranteed on data center GPUs.
AMD and Intel insisted on selling only flimsy garden shovels.
I'm saying that Intel and AMD made single-purpose GPUs useful only for graphics. Whether that's because of the software or hardware is immaterial. Effectively, it's one product in the same sense that an iPhone is one product to a consumer, but technically it's the iPhone device + iOS the software + Apple services such as iCloud, music, etc...
The distinction is one of business strategy not technology.
only exception im excited about is the non-main characters from video games, where a lot of the random NPCs, can now actually bring some more fun to the game.
And translation and grammar/spell checking is also at a level which was unthinkable before LLMs hit.
But thats it, really. The "talking machine" aspect of it is more and more uncovered as totally useless.
you built a robot that sorts laundry? Tell us more!
Do you have any more info or links about the setup?
I would have answered earlier, but the silly HN rate limiter prevented me from passing the link to you.
I dont want to look it up yet agan.
And I dont want to use HN anymore,, this rate limit time-waster really just killed my sympathy for this site.
Sorry if I came off negatively.
I think many underestimate the true usefulness the current generation of AI has already achieved because a lot of it is in traditional, boring, bespoke or inhouse LoB systems whereas the press always focuses on public B2C
I used chatgpt 3 days ago to generate a script for me. Saved me probably an hour too.
We use it also in my startup for tasks which we wouldn't even tried without ML models because the quality of old libraries were to bad. Like pdf catalog to text, image classification and segmentation.