Technology

I really like the idea of an LLM being narrowly configured to filter, summarize data which comes in at a irregular/organic form.

You would have to do it multiples in parallel with different models and slightly different configurations to reduce hallucinations (Similar to sensor redundancies in Industrial Safety Levels) but still, ... that alone is a game changer in "parsing the real world" .... that energy amount needed to do this "right >= 3x" is cut short by removing the safety and redundancy because the hallucinations only become apparent down the line somewhere and only sometimes.

They poison their own well because they jump directly to the enshittyfication stage.

So people talking about embedding it into workflow... hi... here I am! =D

Quantum! don't forget quantum, you filthy peasant.

Please, stay with the time. We're at Web 6.0 already.

The drones doing airstrikes might!

Eh, my best coworker is an LLM. Full of shit, like the rest of them, but always available and willing to help out.

Goldman Sachs, quote from the article:

“AI technology is exceptionally expensive, and to justify those costs, the technology must be able to solve complex problems, which it isn’t designed to do.”

Generative AI can indeed do impressive things from a technical standpoint, but not enough revenue has been generated so far to offset the enormous costs. Like for other technologies, It might just take time (remember how many billions Amazon burned before turning into a cash-generating machine? And Uber has also just started turning some profit) + a great deal of enshittification once more people and companies are dependent. Or it might just be a bubble.

As humans we're not great at predicting these things including of course me. My personal prediction? A few companies will make money, especially the ones that start selling AI as a service at increasingly high costs, many others will fail and both AI enthusiasts and detractors will claim they were right all along.

Like what outcome?

I have seen gains on cell detection, but it's "just" a bit better.

This is easy to say about the output of AIs.... if you don't check their work.

Alas, checking for accuracy these days seems to be considered old fogey stuff.

The part that is over hyped is companies trying to jump the gun and wholesale replace workers with unproven AI substitutes. And of course the companies who try to shove AI where it doesn't really fit, like AI enabled fridges and toasters.

This is literally the hype. This is the hype that is dying and needs to die. Because generative AI is a tool with fairly specific uses. But it is being marketed by literally everyone who has it as General AI that can "DO ALL THE THINGS!" which it's not and never will be.

You are an asshole if you're uploading student data to a mining operation.

Just copy and paste [student personal data] into [3rd parties database]

Yeah, that's a problem, especially in Europe. Im unsure about US, but it's definitely a breach of GDPR.

ChatGPT is basically like a really good intern, and I use it heavily that way. I run literally every email through it and say "respond to so and so, say xyz" and then maybe a little refining, copy paste, done.

The other day, my boss sent me an excel file with a shitload of data in it that he wanted me to analyze some such way. I just copy pasted it into gpt and asked it, and it spit out the correct response. Then my boss asked me to do something else that required a bit of excel finagling that I didn't really know how to do, so i asked gpt, and it told me the formula, which worked immediately first try.

So basically it helps me accomplish tasks in seconds that previously would've taken hours. If anything, I think markets are currently undervalued, because remarkably, fucking NONE of my colleagues or friends are using it at all yet. Once there's widespread adoption, which will pretty much have to happen if anyone wants to stay competitive once it gains more traction, look out...

Yeah, and Wikipedia is one of the most useful sites on the net, but it didn't exactly result in the entire web becoming crowdsourced.

Those pupils will really thank you when they grow up and there isn't enough fresh water because all the data centres are using it up far faster than it can be replenished.

https://utulsa.edu/news/data-centers-draining-resources-in-water-stressed-communities/