They're just jumping on the hype train but can you really blame them? They've been hearing about how their job will be replaced, how they need to upskill with AI, and they see everyone else doing it. Many probably have no real skills so they're just trying to survive.
My first memory was meeting my parents for the first time when I was around two (I'm adopted). I don't remember anything before it, probably for the better.
Below is the "Attention is all you need" paper. Transformers and their attention mechanism was the major breakthrough for modern LLMs. ML has been around for a long time, I'd suggest joining kaggle or something and learn by doing. You'll retain more and realize how broad the category is anymore.
The problem I'm currently trying to solve, building a business around a novel data protection mechanism using ML based encoding while continuing to do research on it.
Production service for digital content attestation and verification utilizing bespoke neural encoding models. Will be looking for beta testers soon. Reach out if you're interested!
Although incredibly rare, it's not impossible so probably best to just plan for collisions. A simply retry should suffice. But I agree I feel like something is going on somewhere else ...
Hang in there. It does take longer than you think and it's a marathon with a lot of peaks and valleys.
You do need a market, not just a product. You also need to network to get input, partners, and build a BD pipeline. You don't necessarily need revenue at first, you need to prove external interest, whether that's a beta, pilot, or collaboration/partnership. All these things will add to your momentum.
Project name: BlkBolt
Project description: Experimental ML-based data encoding system. No keys, no traditional crypto primitives, just learned unique representations. Early stage and looking for collaboration.
This month: Design and market research on "know your agent" products
Skills: ML, crypto, security folks for independent validation stress testing and just general support. Would love someone to try and forge or break our signatures.
True, this demo does not verify the agent or it's owner, but that's not necessarily what it was intended for (hence the "our take" part). We would view this as an additional trust layer (although a big one we'd argue) in a "know your agent" product. It was mostly intended to show how you can prove an agent of yours created the content seen on a users screen, verify it's integrity, and have this all work in a streaming system.
Building neural-network-based data encoding & verification systems.
I don't know what I don't know.