...that there's a LOT of minerals and other nutrients in food, only a fraction of which are produced from chemicals in fertilisers, O2, and CO2. If you produce too much with too little consideration of the impact on the soil, you can produce marvellous dust bowls but eventually that's ALL you will produce.

There's a lot of stuff that is on the Internet that doesn't end up in AIs, either because the guys designing the training sets don't consider it a particular priority or because it's paywalled to death.

So the imbalance isn't just in languages and broader cultures, it's also in knowledge domains.

However, AI developers are very unlikely to see any of this as a problem, for one very very important reason --- it means they can sell the extremely expensive licenses to those who actually need that information, who can then train their own custom AIs on it. Why fix a problem where the fix means your major customers pay you $20 a month rather than $200 or $2000? They're really not going to sell ten times, certainly not a hundred times, as many $20 doing so, so there's no way they can skim off the corps if they program their AIs properly.

Let's take a look at software sizes, for a moment.

UNIX started at around 8k, and the entire Linux kernel could happily sit in the lower 1 megabyte of RAM for a long time, even with capabilities that terrified Microsoft and Apple.

The original game of Elite occuped maybe three quarters of a 100k floppy disk and used swapping and extensive use of data files to create a massive universe that could be loaded into 8k of RAM.

On a 80386SX with 5 megabytes of RAM (Viglens were weird but fun) and a 20 megabyte hard drive, running Linux, I could simultaneously run 7 MMORGs, X11R4, a mail server, a list server, an FTP server, a software router, a web server, a web cache, a web search engine, a web browser, and stil have memory left over to play Netrek, without slowing anything down.

These days, that wouldn't be enough to load the FTP server, let alone anything else.

On the one hand, not everything can be coded to SEL4 standards (although SEL4, by using Haskell as an initial language to develop the core and the proofs, was able to cut the cost of formal programming to around 1% of the normal value). On the other hand, a LOT of space is gratuitously wasted.

Yes, multiple levels of abstraction are a part of the problem. Nothing wrong with abstraction, OpenLook is great, but modern abstraction is mostly there due to incompetent architecture on previous levels and truly dreadful APIs. And, yes, APIs are truly truly dreadful if OpenLook is the paragon of beauty by comparison.

I agree that they probably have the supersized egos that also make them mentally incapable of putting fault at their own feet, however all the billionaires building space ships are American meanwhile China are the leading cause of pollution (yes the US is second). It's hard to imagine how Musk and Bezos may be directly at fault for that.

I really don't get your second statement. You sound like those brainwashed woke that try to make everything about race.

The solution is easy. WiFi 6 is only just starting to come out in the marketplace. If TP-Link hijacks the standard development procedure, solidifies a workable WiFi 8 quickly, and manufacturers/users in Europe, Asia, and Oceana all start using WiFi 8, skipping WiFi 7 entirely, the US will be left with an inferior standard that only they have gear for, with no option to use WiFi 8 for many more years because the only manufacturers making it can't sell in the US.

I for one welcome our robot overlords.
Maybe we'll finally have dictators that prioritize survival of the entire planet over some short-term profit.

really why all the billionaires are building spaceships?

I own, but do not operate, a few IT companies that manage corporations in the $600MM-$1B receivables range.

Based on our own help desk ticket software, our clients have opened 40% fewer tickets since ChatGPT was rolled out to every desk and phone. 40%. I expect another 40% drop (total 80%) by next year as end users just manage things themselves.

I won't downsize as the tickets aren't really generating revenue as much as headaches. One of my engineers had a broken PDF file that took her 6 hours to fix, and the end user spent 6 days trying to fix it themselves with Ai.

But -- the basic stuff? Reboot your computer stuff? Email rejected because you mistyped a domain name stuff?

You don't need a human, and we would probably have outsource that stuff to India anyway next year if not for ChatGPT etc.

I spend quite a bit on Discord server services, but I'm out.

GFY, Discord and governments, for mandating this bullshit nonsense.

We'll be fine, then. There's lots more gold than Sarah Conner clones.

Precisely.

There are 1500 genes involved. As effects are likely not merely down to specific genes, but gene interactions, you're going to need a model that can handle 2^1500 different permutations. That's simply not something that is classifiable.

As far as gene therapies are concerned, since autism seems to involve combining elements of Neanderthal neurology with homo sapiens neurology, the obvious fix would be to add further Neanderthal genes where combinations are known to produce adverse effects.

What did you expect from an algorithm named after the Roman Empire?

Talking to people in public isnâ(TM)t harassment.

Talking to people on taxpayer funded grounds also isnâ(TM)t trespass.

Tax funded?

Not private property anymore.