holy fuck, hahahaha! the only thing worth a damn they own other than Firefox, and they're enshittifying it. or, to be real, it was worth a damn before LLMs got good, and now I don't remember the last time I used it. perfect time to monetize it, lol.
whatever happened to their Google money? they were so dummy rich they could afford spending millions on three-letter-thing "advocacy" not so long ago. did that dry up or what?
The main error of the AI bubble is expressed in the The Jetsons cartoon from the early 60s.
In the future, everyone obviously would be running nuclear powered cars. It was just an engineering problem to be solved. Ford made the Ford Nucleon prototype in 1958.
The nuclear optimism completely blinded people to the ridiculous idea of an individual handling nuclear material for personal use.
The AI bubble error is this idea that everyone is going to have "AGI" in their pocket. It is just a completely absurd idea that is not going to happen.
Fable was interesting from what I tried but nothing close to AGI yet here we are. The models don't get smarter and LESS restricted from here.
To me, right away it seemed that the "Mythos moment" was extraordinarily bearish for the assumptions the AI bubble is built on.
I have built a new task management saas with AI agent inside. Take a look at it and let me know what you think. Mind you, I built it in 4 days and the security of the app in terms of RLS policies is extraordinary and in terms of tests I have implemented E2E tests as well as modular ones with the help of AI. So it is not nonsense vibecoding it is solid.
Thanks! Glad you like the project-level chat. Starting with a fresh project is definitely the safest bet to see if the workflow fits you. If you ever do try it out, I'd love to get your feedback!
That site has limitations. It uses the GNSS quality send by ADS-B beacons. So, you will only see reliable data if there are sufficient aircraft in that region. But, it is a useful site.
That is exactly how this started! It's so easy for internal tools to become a mess of hyper-specific features.
I spent a lot of time trying to keep the core lean and moving the custom logic into the WASM plugin architecture precisely to avoid that trap. If you have any specific features from your internal tool that you found indispensable, I’d love to hear about them!
China is going to have the exact same problem, it is just lagged by x months.
If you think there is ever going to be an open source Deepseek "AGI" model I just don't think that is thinking things through.
It is the main error of the AI bubble. At some level of intelligence, the dual use nature of a model is too dangerous for a purely hands off approach.
It is like thinking at the advent of the automobile that you will be able to drive your car at any speed, without a license , any place you want.
It is inevitable and the huge sums of money being burned to build these future highly regulated public utilities probably aren't going to be happy with the returns they get from funding a highly regulated public utility.
To me, it is obvious that what we are going to have is KYC/AML style compliance from US banking.
We already have the rails for automated customer identification from US banking.
I think there is a larger "AGI" category error with all this too that is akin to the old futurist idea of driving nuclear powered cars in the "future". The Ford Nucleon.
Nuclear power comes to us in a mix of electricity from the utility company but is far too dangerous for an individual to posses nuclear material for personal nuclear reactors.
An electric car does run on nuclear energy in some sense but not the way the Ford Nucleon was envisioned.
The error of the AI bubble is that we are pricing these companies with SaaS multiples when they are eventually going to be public utilities. There is really no other way to handle the dual use nature of anything close to "AGI".
I am really curious how long will it take for the open source models to hit current fable/mythos capabilities, KIMI 2.7 was launched recently and its quiet good for open source models its as good as Opus 4.6 maybe in practical applications not benchmarks so like 6 months to an year behind, after which the next step will be to wait for the day when we will be able to run mythos level intelligence on local hardware, Remember when 5MB storage was the size of a table?
A loooooot of work to be done for the above to happen
I didn't say Mr. Johnny was hallucinating, or that he's lying. Was finding the "Written by humans" humorous the most polite comment ever? No, but it is absurd to call it harassment. Specially considering it matched his energy.
His website is cool, and from what I could skim from the content I'm sure his clients are happy and find it worthwhile. I'm not being facetious. He said Claude saved him time, which is true. Regardless of that, I believe he wildly overestimated how much time it would've taken. A website that could be a Wordpress install with plugins isn't technically interesting. It does not validate what @halfmatthalfcat said.
LLMs are capable and impressive. I'm not doubting that, but we do this song and dance [0] each time of grandiose statements and subsequent disappointment. My wariness is not violence against you or anybody.
I specially resent being called a bully for not coaching my language in every possible way. I'm not the avatar of your every forum trauma.
Interestingly, despite it being much more detailed and a lot more process and procedure than what I currently do - which is more akin to the version 0 described, but in parallel - we come up at the same final problem: reviews and quality assurance.
I sign off the code I merged, part of company policy but also just to be sure it is actually decent. But reviewing has become the real draining bottleneck: even stacked PRs, if that total 5-6k lines is not a 5min job. Even if I brainstormed and set the plan, that's really the part that doesn't scale right now for me in this. But the author is very shy about that: either the changes arent that big in the end or they trust the process enough to review in a more casual manner. Being equally untrusting I can't do that ...
So this could sound weird
But I thought a year ago, ok let me open Notion, then I saw like 20 thing setting there on Notion, and I'm only touching 3 of them, things like learning Rust, AI and Spanish.
So, I started by building a prototype for myself, I said F* it, Let me built something for myself! And that is it, I built OffShelf app, the idea is so simple you add the topics with the priority assigned to them, and you let the app decide for you what you should tackle today.
Then I shared with people on reddit, some people sent me DMs and some sent me emails that they like it, and some requested new features like adding flashcard and AI tutor So I added these as optional features with still having the core functionality of the app running.
Why do I get the feeling that this is all a big PR stunt, because Trumps buddy want to boost the stock price before IPO, so they can get a gold plated exit ramp?
We are witnessing the largest stock manipulation by the United States government in history.
