I’ve seen a lot of articles and posts about AI that use the term “like it or not” as in “like it or not, AI is here, and we might as well get used to it” and that is such bullshit.

[Gast]

I’ve seen a lot of articles and posts about AI that use the term “like it or not” as in “like it or not, AI is here, and we might as well get used to it” and that is such bullshit.

Like it or not, ableism is here… like it or not, racism is here… like it or not, fascism is here.

No, fuck that, I will resist. I will speak out. I will fight back.

You do not have to roll over and accept the shit corporations and the existing power structure try to force upon you.

We can build a better world.

[Gast]

We can see that the people speaking out about ICE and data centers is having an effect. Public opinion still matters, at least as long as we have (publicly) elected officials who are (supposed to be) beholden to their constituents.

Let those fuckers know where you stand. Make noise, say it loudly, and repeat it so they cannot ignore it.

It’s easy to feel hopeless, but remember, we outnumber them. They cannot exist without us. We have the power… we just need to use it.

[Gast]

@rasterweb I'd retort:

Like it or not, marketing has failed. No one will trust or buy your products again. You might as well declare bankruptcy now.

[Gast]

@rasterweb "Like it or not, there are bug parts in your cereal". Yes, and we work tirelessly to eliminate them. It won't ever be perfect but we wotk to make it better because NOBODY WANTS BUG PARTS IN THEIR CEREAL - WHAT THE HELL IS WRONG WITH YOU!"

[Gast]

@rasterweb
I'm in #archaeology. We've used analytical machine learning for years before the generative apps became available. I know all the good arguments for why nobody should use generative machine learning. But the main reason that I don't is simply that it doesn't offer archaeologists anything useful. And that's *before* venture capital pulls out and ChatGPT becomes expensive.

#aibubble #llm #ai

[Gast]

@rasterweb Let's go forward to better.

[Gast]

@rasterweb Yes indeed. I am with you
I also hear things like: comparing Ai to the introduction of the calculator and the computer, and how people who resisted learning to use it couldn’t compete with people who learned how to use it. That argument is flawed from the beginning because Ai is not an effective “tool”, and certainly not now. If we had responsible people working on it instead of “gathering data” which adds to the slop, it could start to be a “tool”. Not to mention other problems 🫩

[Gast]

@rasterweb AI, fascism, and racism are here.

*So are we.*

[Gast]

@rasterweb I don't remember where I've read that but apparently speaking out is the single biggest contributor in preventing the spread of authoritarianism. Like it or not, people must speak out or nothing ever changes

[Gast]

@em_and_future_cats @rasterweb

And even if it were effective, that's a terrible argument.

I learned how to use a computer using a BBC model B. Yes, some of the things I learned there are still relevant. But I have worked with people my age who learned a decade later and have no disadvantage.

People who jumped on technology bandwagons later often have an easier time. They don't have to keep relearning things that rapidly change. While the technology is being deployed, they are solving real problems. Once the technology reaches a generally useful point with some stable features, they can jump on and adopt it at a much lower cost than the early adopters.

Look at the eCommerce boom, for example. A very small number of companies like eBay and Amazon did very well from being early adopters but a lot of the early adopters crashed and burned. In contrast, a lot of companies jumped in after the .com crash and built sustainable business models and did very well. In the UK, the supermarket that adopted online ordering earliest was Tesco (they were on Compuserve!). The two with the largest market share are Lidl and Ocado, neither of which entered that market for the first decade.