AI is literally going to change everything. It's already started, don't you feel it?
Comment on *LLMs and AI art stepping over the corpse of NFTs*
kitonthenet@kbin.social 1 year agoYou lot would’ve said the same thing about self driving cars, crypto, NFTs, solar-freaking-roadways etc
Kantiberl@kbin.social 1 year ago
kitonthenet@kbin.social 1 year ago
No, and that’s exactly what the crypto, NFT, metaverse, self driving cars, solar roadways guys said. Show me
I’m not buying Sam Altmans fucking crypto coin
PlatinumPangolin@kbin.social 1 year ago
Yea, if only there were real world applications for AI. Like image/video generation and editing, text generation including code, audio processing and generation, object recognition and image classification, fraud detection, medical diagnosis, predictions in general, protein folding, or even just general data analysis. Then it might actually take off.
OpenGPT is just an LLM but that's only one small facet of AI. When people talk about AI and only mean LLMs or even one specific guy/company, it's a clear sign they don't know any more about AI than that one Vox article they read 2 months ago.
kitonthenet@kbin.social 1 year ago
Go on then, write me an app, AI boy
Kantiberl@kbin.social 1 year ago
Jesus you are dense. AI is already the most advanced and versatile tool we've ever made and it's only the beginning. They've already used LLMs to decode the brain waves of people looking at an image and were able to replicate the image JUST from brain waves and LLM algorithms. You seem like you don't want to understand just how huge AI is so I guess all I can say is wait and see. It's going to change every single thing about human society while you're blabbering on about crypto and NFTs. The ignorance of people is astounding sometimes.
kitonthenet@kbin.social 1 year ago
Why not get an AI to explain it to me then
Fried_out_Kombi@lemmy.world 1 year ago
Yeah, I’m working at a company that traditionally makes digital signal processors for telecommunications, and even we’re using AI for actual practical applications. The current project I’m working on is applying an object detection model to detect different signal types in 2D spectrograms. The old way takes like 15 minutes to scan and detect across a wide band. This technique is likely going to be an order of magnitude faster (at least based on preliminary results) and lower-power, as you only need to capture one set of samples, then let the computer vision do most of the rest. The old way to scan for signals required taking a bunch of RF samples, which was very wasteful of time and energy, but there wasn’t really an alternative until now.