I’m an AI user, where’s my money?

While I was actually looking for someone to break my model with a better one with better info, this is a pretty useless argument.

To get money, you need to:

1. make some half-baked product with chutzpah
2. Use charisma to get others to vibe with it on a social media platform
   • this is easy if you know how to do the social acting that “normies” do
3. Appeal to the ones in power, while convincing them that you used AI to make it, will be using more AI and will do some subscription stuff
4. Find a way to inherit Venture Capital.

Yeah. The current job market shows a different trend.

With people saying “people using AI will replace people not using AI”.
And the reason for that is not because people using AI will produce better work, but because AI usage will be preferred over usable output.

And because the flow of money is such that all those having money can easily choose to give most of it to AI users^[1] while non-AI users don’t have the same ability once most providers turn to AI use.

Now as long as you get the Governments on board (they are already buying up GPUs too) you can get all taxes into AI use, hence starving the non-AI market of ability to procure computing hardware (or anything else to work on) and that is how you get AI supremacy without providing anything better.

The researchers suspect this would help shrink the ozone hole that forms over the South Pole every year,

Ok, so there seems to be a silver lining.
A lesser Ozone hole during a certain period.

Now just to know if the Ozone decimation is winning over this little phenomenon.
Either way, the LEO satellites seem to be to big a mess for their worth, unless you are just considering their military worth.

For Android, we are pretty close.
For Linux, well, as long as I can get a cellular device that works with Linux ^[1] I am willing to take up development on the Linux branch of the same project. I have actually been considering this for a while and this is the only blocker I see.

Hi there I am Nobody.

I’d suppose the banks work with each other.

Just if it worked with international payments.

Currently, International GPay required a credit/debit card and I am unaware of a proper UPI solution for it.
Also, we lack proper FOSS UPI for Linux despite efforts, due to it being dependent on cellular networks.

Nice.
Looks like they did make good use of the opportunity.

Because any real life use that might come to mind would probably be related to some NDA protected database in a company.
And it is otherwise hard to think of anything at the spot, so just go with what the first example on the web-search came up with.

commonly agreed to be a Good Thing

So, did they open access their trained model weights?

it still can prevent complete rookies from making thousands of requests per second with a simple python script

So now you can know that if you are getting DOS’ed, it is actually malicious.

Depends upon if you are the producer or the consumer.

While Python seems fine to me, JS is where it becomes too un-hard for me.
I have to use QML quite frequently in my work (which is based on JS) and make a point of including as less program logic as possible in QML and transfer any input to C++ code in as few steps as I can. Essentially keeping QML just for Markup and leaving the program to C++.

Wasn’t the real reason for that, that all of those things still require the user to treat it is a logic system and feed proper logic in some or the other way (which might be not coding, but is still programming)?
And since the non-technical people are actually bad at logic itself, it was useless to them. I would see those tools being useful to any other kind of engineer that is not into coding (like a civil/mechanical engineer), who can do logic, but not into coding or even computers.
On the other hand, the user treats AI is a non-logical system, kinda like another person. And I see the business/marketing/hype types getting better at it. I, for one, find it much easier and faster using a hard logic system (the harder, the better) and programming suits me, while I find AI exhausting.

pop people like a kitten in a microwave

Does a kitten really pop in a microwave?
I would expect it to just boil as things normally do.

that will decimate the ozone layer in 15-30 years.

🤦
I always thought of de-orbiting just to burn-off as a waste, but now this.

What about herbivorous humans :P

Yeah, despite the older traditions, it is nowadays not recommended to shit directly in the crop area. And turns out traditions of a time only work at that time and place, which might depend upon other, seemingly unrelated traditions.

But it would still be better off under the soil than on a paved street.

I guess I understand another reason for that in China. Because most of them ate some sort of meat, shitting in the fields might have ended up being a bad practice.
But still, what’s up with shitting on the streets? Did they somehow just rely on the dogs to clean up the streets?

Code quality will not improve.

1. People’s expectations will go down.
2. Normal programmers will be phased out of the industry.
3. Educational systems will change, leading to no normal programmers for OSS.
4. Once Gen AI companies get enough power, they will start increasing rates, citing costs.
5. Vibe coding will become as expensive and time taking as current programming, but giving worse output.
6. It will be tagged “inflation”.

Source?
The same thing is currently happening with all factory type industries, which were originally workshop based and customisation friendly.

1. They got overthrown by mass-production models, due to lower costs.
2. Now mass produced stuff has lower creation costs but has higher shipping costs, so no real benefit after forgoing quality for quantity.
3. All stuff is more expensive to buy than it would have been with the workshop based industries being dominant.
   • This causes increase in living expenses for everyone including the people working in the few remaining workshop producers
4. Now workshop stuff is again more expensive than mass-produced stuff and can only be considered when one has enough stability and saving ability.
   • And lack of workshops will mean that even those are hard to find.

Most probably they did.

We also have very little in the way of error correction, since it’s mostly not human readable

This is the main point.
Most well working OCR systems have a dictionary-check pass, which goes a long way into fixing the errors.

On the other hand, if all those files are the same font and size, it should be possible to tune the OCR to better match the requirements. Also reduce the possibilities to the character set used by the encoding.

I was recently using OCR for an unrelated project and it was totally unusable as is, because unlike what it expected (plain text documents), it got text on top of pictures. So now I have to find ways to preprocess and single out the text, removing the graphic lines that might be behind it, to make it readable.

I was saving it for you.