HN user
Founder of lyfe.ninja.
Building neural-network-based data encoding & verification systems.
I don't know what I don't know.
Isn't that the purpose of wikis? Not saying they work all that great but I think that's the goal.
I do like the idea of having a live editable wiki as the knowledge base a LLM can reference.
I do, just in case the robots take over :p
Thanks, I appreciate it!
Just soft launched BlkSeal, a modern content integrity platform.
It lets people, apps, and AI agents sign any digital content so anyone can verify it hasn't been modified after it was created. Think provenance and tamper detection, but with a different trust model than traditional digital signatures, including native revocation. The underlying tech is actually very cool.
Just put it out there, so now I'm in the fun/scary phase of seeing if anyone besides me actually wants it. Either way, I've learned a ton building it, and it's been one of the most rewarding side projects I've ever turned into a startup.
Website: https://lyfe.ninja/
Fake it til you make it baby!
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.
All good advice, thank you everyone who's contributes so far!
This is exactly the type of insight I'm looking for. Thanks!
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.
Snake, obviously...if you're under 30 you probably don't know what I'm talking about
When they started telling me everything I say is a great idea...
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 ...
One bad apple lol
Agreed. Maybe let's stop trying to set the world on fire so we can have AI generated cat videos. Just doesn't seem worth it...
Thanks. I will definitely keep this in mind.
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.
I see a lot of the same. I do know a couple people who do use it and I asked their take and it was kind of "meh".
I'm letting it mature a little before dipping my toe in. I've seem some horror stories, like it deleting repos, system files, and whatnot.
Wow truly surprised by the lack of comments here. I just assumed there would be something I didn't know about.
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.
Link: https://lyfe.ninja/projects (or find us on LinkedIn)
Real-time AI content attestation and verification with Revocable signatures. Actually posted on "Show HN" today.
Write up and demo here: https://lyfe.ninja/news/#know-your-agent-with-blkbolt
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.
Thanks, we think so too, we're not aware of anything doing this currently but please share if you know of anything.
By false positives, I'm assuming you mean, two separate LLMs/agents output and sign the exact same content (e.g. hello world!).
These are not traditional signatures and can have metadata encoded into them (the demo only encodes lease ID, create timestamp). So you could rely on the metadata during verification for provenance (which one came first). The demo has a separate link to additional information about the signatures.
P.S. this is just a demo to demonstrate this in a real-time streaming scenario (mostly for a prospect). But we'd love to hear if anyone thinks this could be useful as a product of its own.
In a similar situation and I understand where you're coming from. Although I have not taken on a Marketing co-founder, I have had a number of important and revealing conversations that I've learned a lot from.
1. Make sure the market for your product exists before you make it. This is counterintuitive to builders like myself and probably you. building is what I'm good at, and I know what I'm making adds value, but that doesn't mean others will see that value.
2. Kinda goes with #1, but talk to as many people as possible in the market you are considering a product for and learn what their problems and pain points are so you can solve them. If you can relieve someone's pain, the marketing will do itself. It's hard to even get the conversations, but each one is helpful, even if it's telling you something you don't want to hear.
3. Focus on gaining external interest, not necessarily revenue. Again, hard, but a pilot or partnership with another startup or small business can go along way and showing value to future investors or customers.
4. Talk to and learn from other founders. Your already doing this, but there are nuggets of information that can help even if it's just a slight change of perspective.
5. Keep your head up. It's a slog and it's brutal, but it's a marathon.
I'm still working on all these things myself, so you're not alone. The realization that a good product without a market is nothing, was a big revelation for me (and in hindsight makes me feel like an idiot). I honestly thought if you solve a hard enough problem or built a good enough product that the rest would fall in line, but that was not the case, but I'm not ready to give up yet.
I get what you're saying here and I agree if you're only using unedited AI content to just increase your post frequency, then yeah it's annoying and feels somewhat abusive.
I personally like to use AI to make a first draft and then edit from there. It's way faster at that first draft than I am, but I can still maintain my voice and ensure I'm making all my points.
I will say many people are also generally bad writers. Is it slop if it's actually a better writer than the engineer making the site or the owner of a small business without a marketing team? It just seems like a tool to write better.
I think I need to give this a go. Cool project.
I noticed chatGPT using 1.4GB in a single chat the other day and affecting performance. Don't get me wrong it was a long one, but it's all text, so I still don't think I understand why it uses so much memory. A novel should only take up a few MBs of memory. I assume it's a ton of backend context, but feel like someone should look into that. No wonder all the robots are greedy for memory.
I enjoyed reading this post, because it's a great little case study. A Large complicated project, a senior dev, and a nieve client. It's their project so they can push all the code they want, but they're responsible for it too. I'd be curious to learn of any updates.
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: Demo for real-time signing and verification of AI content (streaming messages) and continue networking.
Skills: ML, crypto, security folks for independent validation stress testing and just general support
Link: https://lyfe.ninja/projects (or find us on LinkedIn)