sparkline

Pop Culture

Despite all of this hype, all of this media attention, all of this incredible investment, the supposed “innovations” don’t even seem capable of replacing the jobs that they’re meant to — not that I think they should, just that I’m tired of being told that this future is inevitable.

The reality is that generative AI isn’t good at replacing jobs, but commoditizing distinct acts of labor, and, in the process, the early creative jobs that help people build portfolios to advance in their industries.

One of the fundamental misunderstandings of the bosses replacing these workers with generative AI is that you are not just asking for a thing, but outsourcing the risk and responsibility.

Generative AI costs far too much, isn’t getting cheaper, uses too much power, and doesn’t do enough to justify its existence.

Ideas Aren’t Worth Anything - The Biblioracle Recommends

The fact that writing can be hard is one of the things that makes it meaningful. Removing this difficulty removes that meaning.

There is significant enthusiasm for this attitude inside the companies that produce an distribute media like books, movies, and music for obvious reasons. Removing the expense of humans making art is a real savings to the bottom line.

But the idea of this being an example of democratizing creativity is absurd. Outsourcing is not democratizing. Ideas are not the most important part of creation, execution is.

How do we build the future with AI? – Chelsea Troy

This is the transcript of a fantastic talk called “The Tools We Still Need to Build with AI.”

Absorb every word!

The mainstreaming of ‘AI’ scepticism – Baldur Bjarnason

Tech is dominated by “true believers” and those who tag along to make money.

Politicians seem to be forever gullible to the promises of tech.

Management loves promises of automation and profitable layoffs.

But it seems that the sentiment might be shifting, even among those predisposed to believe in “AI”, at least in part.

Because There’s No “AI” in “Failure”

My new favourite blog on Tumblr.

Rise of the Ghost Machines - The Millions

This thing that we’ve been doing collectively with our relentless blog posts and pokes and tweets and uploads and news story shares, all 30-odd years of fuck-all pointless human chatterboo, it’s their tuning fork. Like when a guitarist plays a chord on a guitar and compares the sound to a tuner, adjusts the pegs, plays the chord again; that’s what has happened here, that’s what all my words are, what all our words are, a thing to mimic, a mockingbird’s feast.

Every time you ask AI to create words, to generate an answer, it analyzes the words you input and compare those words to the trillions of relations and concepts it has already categorized and then respond with words that match the most likely response. The chatbot is not thinking, but that doesn’t matter: in the moment, it feels like it’s responding to you. It feels like you’re not alone. But you are.

The Danger Of Superhuman AI Is Not What You Think - NOEMA

Once you have reduced the concept of human intelligence to what the markets will pay for, then suddenly, all it takes to build an intelligent machine — even a superhuman one — is to make something that generates economically valuable outputs at a rate and average quality that exceeds your own economic output. Anything else is irrelevant.

By describing as superhuman a thing that is entirely insensible and unthinking, an object without desire or hope but relentlessly productive and adaptable to its assigned economically valuable tasks, we implicitly erase or devalue the concept of a “human” and all that a human can do and strive to become. Of course, attempts to erase and devalue the most humane parts of our existence are nothing new; AI is just a new excuse to do it.

Generative AI is for the idea guys

Generative AI is like the ultimate idea guy’s idea! Imagine… if all they needed to create a business, software or art was their great idea, and a computer. No need to engage (or pay) any of those annoying makers who keep talking about limitations, scope, standards, artistic integrity etc. etc.

What Are We Actually Doing With A.I. Today? – Pixel Envy

The marketing of A.I. reminds me less of the cryptocurrency and Web3 boom, and more of 5G. Carriers and phone makers promised world-changing capabilities thanks to wireless speeds faster than a lot of residential broadband connections. Nothing like that has yet materialized.

AI Safety for Fleshy Humans: a whirlwind tour

This is a terrificly entertaining level-headed in-depth explanation of AI safety. By the end of this year, all three parts will be published; right now the first part is ready for you to read and enjoy.

This 3-part series is your one-stop-shop to understand the core ideas of AI & AI Safety — explained in a friendly, accessible, and slightly opinionated way!

( Related phrases: AI Risk, AI X-Risk, AI Alignment, AI Ethics, AI Not-Kill-Everyone-ism. There is no consensus on what these phrases do & don’t mean, so I’m just using “AI Safety” as a catch-all.)

AI is not like you and me

AI is the most anthropomorphized technology in history, starting with the name—intelligence—and plenty of other words thrown around the field: learning, neural, vision, attention, bias, hallucination. These references only make sense to us because they are hallmarks of being human.

But ascribing human qualities to AI is not serving us well. Anthropomorphizing statistical models leads to confusion about what AI does well, what it does poorly, what form it should take, and our agency over all of the above.

There is something kind of pathological going on here. One of the most exciting advances in computer science ever achieved, with so many promising uses, and we can’t think beyond the most obvious, least useful application? What, because we want to see ourselves in this technology?

Meanwhile, we are under-investing in more precise, high-value applications of LLMs that treat generative A.I. models not as people but as tools.

Anthropomorphizing AI not only misleads, but suggests we are on equal footing with, even subservient to, this technology, and there’s nothing we can do about it.

Tim Paul | Automation and the Jevons paradox

This is insightful:

AI and automation is often promoted as a way of handling complexity. But handling complexity isn’t the same as reducing it.

In fact, by getting better at handling complexity we’re increasing our tolerance for it. And if we become more tolerant of it we’re likely to see it grow, not shrink.

From that perspective, large language models are over-engineered bandaids. They might appear helpful at the surface-level but they’re never going to help tackle the underlying root causes.

AI isn’t useless. But is it worth it?

I find my feelings about AI are actually pretty similar to my feelings about blockchains: they do a poor job of much of what people try to do with them, they can’t do the things their creators claim they one day might, and many of the things they are well suited to do may not be altogether that beneficial. And while I do think that AI tools are more broadly useful than blockchains, they also come with similarly monstrous costs.

A very even-handed take.

I’m glad that I took the time to experiment with AI tools, both because I understand them better and because I have found them to be useful in my day-to-day life. But even as someone who has used them and found them helpful, it’s remarkable to see the gap between what they can do and what their promoters promise they will someday be able to do. The benefits, though extant, seem to pale in comparison to the costs.

The dancing bear, part 1

I don’t believe the greatest societal risk is that a sentient artificial intelligence is going to kill us all. I think our undoing is simpler than that. I think that most of our lives are going to be shorter and more miserable than they could have been, thanks to the unchecked greed that’s fed this rally. (Okay, this and crypto.)

I like this analogy:

AI is like a dancing bear. This was a profitable sideshow dating back to the middle ages: all it takes is a bear, some time, and a complete lack of ethics. Today, our carnival barkers are the AI startups and their CEOs. They’re trying to convince you that if they can show you a bear that can dance, then you’ll believe it can draw, write coherent sentences, and help you with your app’s marketing strategy.

Part of the curiosity of a dancing bear is the implicit risk that it’ll remember at some point that it’s a bear, and maul whoever is nearby. The fear is a selling point. Likewise, some AI vendors have even learned that the product is more compelling if it’s perceived as dangerous. It’s common for AI startup execs to say things like, “of course there’s a real risk that an army of dancing bears will eventually kill us all. Anyway, here’s what we’re working on…” How brave of them.

The growing backlash against AI

You are not creative and then create something, you become creative by working on something, creativity is a byproduct of work.

In this way “AI” is deeply dehumanizing: Making the spaces and opportunities for people to grow and be human smaller and smaller. Applying a straitjacket of past mediocrity to our minds and spirits.

And that is what is being booed: The salespeople of mediocrity who’ve made it their mission to speak lies from power. The lie that only tech can and will save us. The lie that a bit of statistics and colonial, mostly white, mostly western data is gonna create a brilliant future. The lie that we have no choice, no alternatives.

On Nielsen’s ideas about generative UI for resolving accessibility

Per Axbom quite rightly tears Jakob Nielsen a new one.

I particularly like his suggestion that you re-read Nielsen’s argument but replace the word “accessibility” with “usability”:

Assessed this way, the ~~accessibility~~ movement has been a miserable failure.

~~Accessibility~~ is too expensive for most companies to be able to afford everything that’s needed with the current, clumsy implementation.

I resent AI. Not AI itself–that’s just code, despite what tech guys with flashlights under their chins tell you. I resent the imposition, the idea that since LLMs exist, it follows that they should exist in every facet in my life.

Generated content is an invasive species in the online ecosystem – Tracy Durnell

This seems like a good analogy to me.

Link tags: automation

63