lol do you not have actual stuff to prioritize for your team rather than re inventing forges? there are quite a few open source alternatives if you want something quick. Fork them. No need to re invent the wheel
Github is struggling because of compute, which comes from everyone vibecoding and triggering actions 10x more.
I can vibecode an alternative, but once i have users, who is going to secure this amount of compute? Compute+talent to manage it(devops isnt vibecoded *yet) is a moat
Its quite funny that you are building an "infinite place profile", you both worked on products used by 100s of millions of people, and yet your website is down from 45 minutes of HN traffic!
Joking, but its a very good idea. Synchronization between the physical world information and digital has been a very hard problem for decades and im sure an agentic approach can 10x the value.
Just wanted to say i think most interpretability research it's just a smoke show nowadays but this is actually the first one that i think has a very serious potential. I love that the SAE is actually constrained and not just slapped unsupervised posthoc.
How granular can you get the source data attribution? Down to individual let's say Wikipedia topics? Probably not urls?
Even this is hard. Most people don't know what they want, and/or they don't know how to describe it/imagine it. They don't even know what a trend graph is.
They just want someone else to do the mental effort of creating a nice product. Hence iOS > android for most people. They don't want to customise basically anything other than colours.
That's why i predict Lovable/replit etc will not go mainstream. And why chatgpt will just offer you their UIs mainly. Artifacts weren't a big hit
Mintlify is the best example of a product that is just nice. They don't claim to have a moat, or weird agi vibes, or whatever. It just works and it's pretty. 10m arr right there
Yes 250 gallons can save a lot of people from dying of thirst but have you considered that with that same 5kwh we can also produce 1 tiktok ai slop video of the queen boxing with mike tyson?
> Codex is more hands off, I personally prefer that over claude's more hands-on approach
Agree, and it's a nice reflection of the individual companie's goals. OpenAI is about AGI, and they have insane pressure from investors to show that that is still the goal, hence codex when works they could say look it worked for 5 hours! Discarding that 90% of the time it's just pure trash.
While Anthropic/Boris is more about value now, more grounded/realistic, providing more consistent hence trustable/intuitive experience that you can steer. (Even if Dario says the opposite). The ceiling/best case scenario of a claude code session is a bit lower than Codex maybe, but less variance.
It's definitely cool and engineering wise close to SOTA given lovable and all of the app generators.
But, assuming you are trying to be in between lovable and google, how are you not going to be steamrolled by google or perplexity etc the moment you get solid traction? Like, if your insight for v3 was that the model should make its own tools, so even less hardcoded, then i just dont see a moat or any vertical direction. What really is the difference?
because the secret is that the web runs on advertising/targeted recommendations. Brezos(tm) wants you to actively browse Ramazon so he can harvest your data, search patterns etc. Amazon and most sites like that are very not crawl friendly for this reason. Why would Brezos let Saltman get all the juicy preference data?
On the foundational level, test time compute(reasoning), heavy RL post training, 1M+ plus context length etc.
On the application layer, connecting with sandboxes/VM's is one of the biggest shifts. (Cloudfares codemode etc). Giving an llm a sandbox unlocks on the fly computation, calculations, RPA, anything really.
MCP's, or rather standardized function calling is another one.
Also, local llm's are becoming almost viable because of better and better distillation, relying on quick web search for facts etc.
Their page itself looks classic v0/ai generated, that yellow/orange warning box, plus the general shadows/borders screams LLM slop etc. Is it too hard these days to spend 30 minutes to think about UI/user experience?
I actually like the idea, not sure about monetization.
It also requires access to all the data?? And it's not even open source.
But openai's chance of a moat on model quality is dropping as we go, not increasing