hannofcart

> stuff that’s a giant boondoggle to replicate because there are so many edge cases and considerations that it takes years of iterations to arrive at something stable.

The catch here though is that you don't need to replicate all of the giant boondoggle with your vibe coded solution.

For eg. Pagerduty does not handle payments in our country "properly". So we are replacing it. Pagerduty likely does a gazillion things but we only care about a tiny subset of that. And that we can build with an agent now.

And there am talking about Pagerduty that's already a rather narrowly focused SaaS product. If you consider the SAPs and the various ERPs and billing systems etc. out there they are much much more vulnerable since most firms just use a tiny tiny fraction of these giant behemoth software.

From what I can tell from cursory reading of data is that if you are in a profession where your output/contribution is purely digital or _could_ be digital in nature, then AI seems to have more than 50% coverage.

Turns out there are lots of jobs where the output is not digital in nature. And in those cases there's poor coverage.

Is the tool performance you mentioned for v1? Or is v2 of the tool also performing badly?

This is very nice. One suggestion based on a guitar related hobby webapp I built myself: fretboard renders in potrait probably makes for nicer ux.

My tool does not focus on strumming at all as this one does though.

Nice work. Am having fun with it.

I think you are conflating being 'tougher' than them with being more cruel than them.

Once you have turned crueler than them, you have just made the case for your enemies. And the cycle of violence will keep recurring.

I understand that a typical HN user is very different from the average person.

However, surely by now even the lay people who have seen the testimonies before Congress, the lawsuits and the excesses by Meta execs over and over again ought to be atleast somewhat wary of handing them more personal data?

I think the average person has very similar self preservation instincts as the rest of us. So it can't be that. Which leaves the fact that there are lot of people who don't know about the above mentioned scandals galore that Meta has been involved in?

This is one of the books that left me with the most profound sense of unease. And it deserves very high prait for being able to do that.

While people might remember it for other more striking ideas, I was impressed with how it expounds the theory behind the claims that "intelligence implies violence". That entire narrative was quite chilling.

That, and the way the author explains how to establish a means of communication using just... pain.

It's a brilliant book.

I have always used HN for consuming tech news. I was trying to say that these days, I really love following the developments in AI and among the most erudite audience for that can be found here, which is great.

You extrapolated that to assuming that AI news was my only use case.

Am saying that a lot of us like HN the way it is, and the way it has evolved organically into a firehose of AI news.

Your suggestion would break my use case: i.e I check out HN every day to see what the latest models that have been released are, and opinions from erudite people who have taken them for a spin.

Keeping abreast of fast moving AI developments with informed opinions/comments for various new models/agents etc. is primarily what I'm here for.

What does 'Astra' here mean? Surely they must be referring to the Latin word.

Because in another dead language of antiquity, Sanskrit, it means "weapon". Which would be a bit too on-the-nose.

Firstly, I don't think it will be just 2-3 companies that fail. Due the circular investing between companies in the AI ecosystem, the fallout is going to be much bigger.

Secondly, even with that being true, I think open models are a great net benefit for all mankind in the long run.

I think both of those things are true at the same time.

Another way of rephrasing that though is that the public (including large pension funds, retirees, etc.) just dodged a bullet and aren't left holding the bag.

Nevertheless, I doubt anyone's going to emerge unscathed when the valuations start falling though. Vast sections of the American stock market will be wiped out yet and with it the global economy.

If what you're saying is true we are moving into an era where rockstar product managers are going to be more in demand than programmers since they can do all of what you mentioned above.

And typically (though not always) product managers have better people skills than programmers and consequently they might be more effective at the "gathering requirements" and "working together" bits you mentioned above.

Even much of the "validating releases" and "testing" parts should also be things that a decent PM should be able to wrangle now by themselves with some LLM agents to assist them. Afterall, why bother about code quality of a testing harness. So long as the PM can keep a coherent test case list and have end to end tests that cover them, programmers can leave that to them as well.

> The whole point of discovering knowledge is to enjoy the process and share that with the world to create hope an optimisim in it, not to product like a factory.

This is the crux of everything you've written and I strongly disagree. The purpose of knowledge is the sheer power it brings, and if there's factory scale churning out of it, I'll gladly take it.

As a closer analogy, consider this probability (I'll be stealing from the game Stellaris here): let's say a few hundred years later, when we are spacefaring, we discover a vast cache/library of knowledge of an alien civilization, we won't just pass up on exploiting it because we need to "enjoy the process of acquiring it on our own" or "derive the satisfaction of sharing the discovery with others". No, I and I daresay most others will take as much as we can without restraint in a quest to make all our lives better/more enjoyable.

And if that's ok to do, using machine intelligence to mine/grab any new knowledge or new math as Tao is suggesting here should also be acceptable and welcomed.