HN is getting closer to that every day.
If AI kickback deals, phony new model ratings, high RAM prices and your surprise at how you think you coded something with AI and it was AMAZING! even though it doesnt work is all there is count me out.
We need a filter on existing tech news sites or an alternative press.
I would totally understand your position if it was, say, crypto that you wanted to exclude. The whole of crypto finance is an edifice of scam built on some interesting but not very useful maths, and there's nothing to redeem it. There are no interesting tech discussions to be had there.
And sure, there are plenty of AI scam artists out there (most seem to have switched from Crypto experts to AI experts in the last couple of years).
But the underlying tech that is being used in AI is not only interesting, but also useful. I'm seeing people who have never coded before produce some cool apps. OK, they're not production-grade, but that's still new people doing new and interesting stuff with this tech. My own workflow is profoundly different from what it was a year ago. I've seen old problems that were really incredibly difficult to fix collapse completely using this tech. It's a useful tool if you're developing software. I suspect there are other areas of human endeavour where it will be useful too. I very much doubt it will replace all human work, or become sentient.
I think we need to separate out the AI business, which is its usual mess of scam, exaggeration, and buffoonery, and the actual AI tech, which is producing some really useful tools.
Also, frontier token prices have remained roughly constant:
3.5 sonnet: $3/$15 3.7 sonnet: $3/$15 Opus 4: $15/$75 (opus tier) opus 4.1: same Opus 4.5: $5/$25 Opus 4.6 (same) 4.7 (same) 4.8 (Same) Fable: $10/$50
So Fable is cheaper than Opus 4 was at launch.
One thing that has increased quite significantly? Spending and adoption.
This reminds me of that. The spec is the new high level language. Code is ASM. ASM is like CPU microcode.
By the 200xs they were gone. Interestingly, I would say what killed them in the early 2000s wasn't actually compilers, it was the interpreted languages. Others may disagree. Even if they were dog slow by comparison, scripting languages made some things so much easier to program that it didn't matter. And then it prompted static languages to up their game to try to match that. By the time that process played out, people writing only in assembler couldn't keep up anymore.
The company also had an AS400 with a collection of COBOL programmers. They were utterly scathing of the new toy language for doing toy things on PCs. There was no way that VB would ever be a "real" language or that anyone would do anything "real" with it.
And yeah, in terms of serious computing, that's probably true. But the industry leapt at the new tools and tooling, and COBOL faded to obscurity (though there are still AS400s out there, and some of the code they wrote is still managing vast swathes of our essential services).
And all of that was less of a revolution in the industry than the last 12 months have been.
That is straight-up false. It's best to not speak of things you don't properly understand. If it were true, they wouldn't hold the financial value that they do or anywhere close to it.
This is not an AI problem.
The internet is a bad place with lots of bad actors and no one says anything about malicious state actors who pollute the internet (they might be called xenophobic !)
AI merely is another tool for bad actors to be better bad actors, but that doesn't mean AI is the problem.
And AI needs to avoid feeding itself synthetic data. Maybe this whole Anti AI frenzy is just an attempt to feed AI human content.
You can also exclude github repos posted here that contain ai attribution. Filters are updated daily to catch exceptions.
The worst part about it is like 80% of the conversation is motivated speech.
That's worse than the technology itself.
Do you mean it’s puffery or scammy?
By that standard then literally everything that is opinion based (ideological) is motivated reasoning
With LLMs, everybody talks them up because they are invested in Nvidia or have other exposure (which is almost everybody considering with all the datacenter building if this industry tanks US economy is also), or because they are invested in having jobs.
specifically those who like me are very excited about the future and have been excited about every step of the way since they got started?
In my case this is all going fantastically as planned and almost perfectly on the Kurzweil timeline. so as a 40+ person who has been wanting an Oracle in my pocket forever, we are closer to that then we have ever been. why the fuck wouldn’t I be excited about that? there was nothing like this in the 1980s and that’s a fact.
The concept of the Dick Tracy watch was science fiction when I was a kid and my kids all have Dick Tracy watches casually. That’s unbelievable!
They can all individually create and consume AI outside of this community of course.