Tags: ai

You should go to conferences - localghost

Obviously I’m biased, but I very much agree with Sophie.

A short note on AI – Me, Robin

I hope to make something that could only exist because I made it. Something that is the one thing that it is. Not an average sentence. Not a visual approximation of other people’s work. Not a stolen concept that boils lakes and uses more electricity than anything in my household.

First Impressions of the Pixel 9 Pro | Whatever

At this point, it really does seem like “AI” is “bullshit you don’t need or is done better in other ways, but we’ve just spent literally billions on this so we really need you to use it, even though it’s nowhere as good as what we were already doing,” and everything else is just unsexy functionality that makes what you do marginally easier or better. I’m sorry we live in a world where enshittification is being marketed as The Hot And Sexy Thing, but just because we’re in that world, doesn’t mean you have to accept it.

I’ve noticed a really strange justification from people when I ask them about their use of generative tools that use large language models (colloquially and inaccurately labelled as artificial intelligence).

I’ll point out that the training data requires the wholesale harvesting of creative works without compensation. I’ll also point out the ludicrously profligate energy use required not just for the training, but for the subsequent queries.

And here’s the thing: people will acknowledge those harms but they will justify their actions by saying “these things will get better!”

First of all, there’s no evidence to back that up.

If anything, as the well gets poisoned by their own outputs, large language models may well end up eating their own slop and getting their own version of mad cow disease. So this might be as good as they’re ever going to get.

And when it comes to energy usage, all the signals from NVIDIA, OpenAI, and others are that power usage is going to increase, not decrease.

But secondly, what the hell kind of logic is that?

It’s like saying “It’s okay for me to drive my gas-guzzling SUV now, because in the future I’ll be driving an electric vehicle.”

The logic is completely backwards! If large language models are going to improve their ethical shortcomings (which is debatable, but let’s be generous), then that’s all the more reason to avoid using the current crop of egregiously damaging tools.

You don’t get companies to change their behaviour by rewarding them for it. If you really want better behaviour from the purveyors of generative tools, you should be boycotting the current offerings.

I suspect that most people know full well that the “they’ll get better!” defence doesn’t hold water. But you can convince yourself of anything when everyone around is telling you that this is the future baby, and you’d better get on board or you’ll be left behind.

Baldur reminds us that this is how people talked about asbestos:

Every time you had an industry campaign against an asbestos ban, they used the same rhetoric. They focused on the potential benefits – cheaper spare parts for cars, cheaper water purification – and doing so implicitly assumed that deaths and destroyed lives, were a low price to pay.

This is the same strategy that’s being used by those who today talk about finding productive uses for generative models without even so much as gesturing towards mitigating or preventing the societal or environmental harms.

It reminds me of the classic Ursula Le Guin short story, The Ones Who Walk Away from Omelas that depicts:

…the utopian city of Omelas, whose prosperity depends on the perpetual misery of a single child.

Once citizens are old enough to know the truth, most, though initially shocked and disgusted, ultimately acquiesce to this one injustice that secures the happiness of the rest of the city.

It turns out that most people will blithely accept injustice and suffering not for a utopia, but just for some bland hallucinated slop.

Don’t get me wrong: I’m not saying large language models aren’t without their uses. I love seeing what Simon and Matt are doing when it comes to coding. And large language models can be great for transforming content from one format to another, like transcribing speech into text. But the balance sheet just doesn’t add up.

As Molly White put it: AI isn’t useless. But is it worth it?:

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.

DOJ, Nvidia, and why we restrict monopolies | Ian Betteridge

This observation seems intuitively obvious in Europe and pearl-clutchingly shocking in America:

What’s perfectly acceptable behaviour when you are a relatively small company becomes outright illegal (and rightly so) when you become dominant in an industry.

Why “AI” projects fail

“AI” is heralded (by those who claim it to replace workers as well as those that argue for it as a mere tool) as a thing to drop into your workflows to create whatever gains promised. It’s magic in the literal sense. You learn a few spells/prompts and your problems go poof. But that was already bullshit when we talked about introducing other digital tools into our workflows.

And we’ve been doing this for decades now, with every new technology we spend a lot of money to get a lot of bloody noses for way too little outcome. Because we keep not looking at actual, real problems in front of us – that the people affected by them probably can tell you at least a significant part of the solution to. No we want a magic tool to make the problem disappear. Which is a significantly different thing than solving it.

What Is React.js? (Webbed Briefs)

Its proponents can be weird, it takes itself far too seriously, and its documentation is interminable. These are some ways that some people have described Christianity. This video is about React.js.

I’ve been on a sabbatical from work for the past six weeks.

At Clearleft, you’re eligible for a sabbatical after five years. For some reason I haven’t taken one until now, 19 years into my tenure at the agency. I am an idiot.

My six-week sabbatical has been lovely, alternating between travel and homebodying.

Belfast

The first week was spent in Belfast at the excellent Belfast Trad Fest. There were workshops in the morning, sessions in the afternoon, and concerts in the evening. Non-stop music!

This year’s event was a little bit special for me. The festival runs an excellent bursary sponsorship programme for young people who otherwise wouldn’t be able to attend:

The bursary secures a place for a young musician to attend and experience a week-long intensive and immersive summertime learning course of traditional music, song and dance and can be transformative.

Back in April, I did a month-long funding drive on The Session:

Starting from today, and for the whole month of April, any donations made to The Session, which normally go towards covering the costs of running the site, will instead go towards sponsoring bursary places for this year’s Belfast Summer school.

I was really hoping to hit £1000, which would cover bursary sponsorship for eight students. In the end though, the members of The Session contributed a whopping £3000!

Needless to say, I was thrilled! The Trad Fest team were very happy too—they very kindly gave me a media pass for the duration of the event, which meant I could go to any of the concerts for free. I made full use of this.

That said, one of the absolute highlights of the week wasn’t a concert, but a session. Piper Mick O’Connor and fiddler Sean Smyth led a session out at the American Bar one evening that was absolutely sublime. There was a deep respect for the music combined with a lovely laidback vibe.

Brighton

There were no shortage of sessions once Jessica returned from Belfast to Brighton. In fact, when we got the train back from Gatwick we hopped in a cab straight to a session instead of going home first. Can’t stop, won’t stop.

The weather hadn’t been great in Belfast, which was fine because we were mostly indoors. But once we got back to Brighton we were treated to a week of glorious sunshine.

Needless to say, Jessica did plenty of swimming. I even went in the ocean myself on one of the hottest days.

I also went into the air. Andy took me up in a light aircraft for a jolly jaunt over the south of England. We flew from Goodwood over the New Forest, and around the Isle of Wight where we landed for lunch. Literally a flying visit.

I can attest that Andy is an excellent pilot. No bumpy landings.

Cork

Our next sojourn took us back to the island of Ireland, but this time we were visiting the Republic. We spent a week in the mightiest of all the Irish counties, Cork.

Our friends Dan and Sue came over from the States and a whole bunch of us went on a road trip down to west Cork, a beautiful part of the country that I shamefully hadn’t visited before. Sue did a magnificent job navigating the sometimes tiny roads in a rental car, despite Dan being a nervous Nellie in the passenger seat.

We had a lovely couple of days in Glengarriff, even though the weather wasn’t great. On the way back to Cork city, we just had to stop off in Baltimore—Dan and Sue live in the other Baltimore. I wasn’t prepared for the magnificent and rugged coastline (quite different to its Maryland counterpart).

Boston

We were back in Brighton for just one day before it was time for us to head to our next destination. We flew to Boston and spent a few days hanging around in Cambridge with our dear friends Ethan and Liz. It was a real treat to just pass the time with good people. It had been far too long.

I did manage to squeeze in an Irish music session in the legendary Druid pub. ’Twas a good night.

Pittsburgh

From Boston we went on to Pittsburgh for Frostapalooza. I’ve already told you all about how great that was:

It was joyous!

Saint Augustine

After all the excitement of Frostapalooza, Jessica and I went on to spend a week decompressing in Saint Augustine, Florida.

We went down to the beach every day. We went in the water most days. Sometimes the water was a bit too choppy for a proper swim, but it was still lovely and warm. And there was one day when the water was just perfectly calm.

When we weren’t on the beach, we were probably eating shrimp.

It was all very relaxing.

Brighton

I’ve spent the sixth and final week of my sabbatical back in Brighton. The weather has remained good so there’s been plenty of outdoor activities, including a kayaking trip down the river Medway in Kent. I may have done some involuntary wild swimming at one point.

I have very much enjoyed these past six weeks. Music. Travel. Friends. It’s all been quite lovely.

Does AI benefit the world? – Chelsea Troy

Our ethical struggle with generative models derives in part from the fact that we…sort of can’t have them ethically, right now, to be honest. We have known how to build models like this for a long time, but we did not have the necessary volume of parseable data available until recently—and even then, to get it, companies have to plunder the internet. Sitting around and waiting for consent from all the parties that wrote on the internet over the past thirty years probably didn’t even cross Sam Altman’s mind.

On the environmental front, fans of generative model technology insist that eventually we’ll possess sufficiently efficient compute power to train and run these models without the massive carbon footprint. That is not the case at the moment, and we don’t have a concrete timeline for it. Again, wait around for a thing we don’t have yet doesn’t appeal to investors or executives.

Why A.I. Isn’t Going to Make Art | The New Yorker

Using ChatGPT to complete assignments is like bringing a forklift into the weight room; you will never improve your cognitive fitness that way.

Another great piece by Ted Chiang!

The companies promoting generative-A.I. programs claim that they will unleash creativity. In essence, they are saying that art can be all inspiration and no perspiration—but these things cannot be easily separated. I’m not saying that art has to involve tedium. What I’m saying is that art requires making choices at every scale; the countless small-scale choices made during implementation are just as important to the final product as the few large-scale choices made during the conception.

This bit reminded me of Simon’s rule:

Let me offer another generalization: any writing that deserves your attention as a reader is the result of effort expended by the person who wrote it. Effort during the writing process doesn’t guarantee the end product is worth reading, but worthwhile work cannot be made without it. The type of attention you pay when reading a personal e-mail is different from the type you pay when reading a business report, but in both cases it is only warranted when the writer put some thought into it.

Simon also makes an appearance here:

The programmer Simon Willison has described the training for large language models as “money laundering for copyrighted data,” which I find a useful way to think about the appeal of generative-A.I. programs: they let you engage in something like plagiarism, but there’s no guilt associated with it because it’s not clear even to you that you’re copying.

I could quote the whole thing, but I’ll stop with this one:

The task that generative A.I. has been most successful at is lowering our expectations, both of the things we read and of ourselves when we write anything for others to read. It is a fundamentally dehumanizing technology because it treats us as less than what we are: creators and apprehenders of meaning. It reduces the amount of intention in the world.

s19e01: Do Reply; Use plain language, and tell the truth

Very good writing advice from Dan:

Use plain language. Tell the truth.

Related:

The reason why LLM text for me is bad is that it’s insipid, which is not a plain language word to use, but the secret is to use words like that tactically and sparingly to great effect.

They don’t write plainly because most of the text they’ve been trained on isn’t plain and clear. I’d argue that most of the text that’s ever existed isn’t plain and clear anyway.

Slop is Good • furbo.org

Trust.

Openly Licensed Images, Audio and More | Openverse

A library of CC-licensed photos.

Next time you’re tempted to use a generative “AI” tool to make an image for a slide deck, use this instead.

Aboard Newsletter: Why So Bad, AI Ads?

The human desire to connect with others is very profound, and the desire of technology companies to interject themselves even more into that desire—either by communicating on behalf of humans, or by pretending to be human—works in the opposite direction. These technologies don’t seem to be encouraging connection as much as commoditizing it.

The Gods of Logic, by Benjamín Labatut

Benjamín Labatut draws a line from the Vedas to George Boole and Claude Shannon onward to Geoffrey Hinton and Frank Herbert’s Butlerian Jihad.

In the coming years, as people armed with AI continue making the world faster, stranger, and more chaotic, we should do all we can to prevent these systems from giving more and more power to the few who can build them.

Lessons learned in 35 years of making software – Jim Grey

Number one:

Do things in the most straightforward way possible. It’s easy to fall into the trap of clever solutions, or clever applications of technology, or overbuilding something because you’re anticipating the future. Don’t do it. You will hate yourself for it later when you have to maintain it.

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.

AI and Asbestos: the offset and trade-off models for large-scale risks are inherently harmful – Baldur Bjarnason

Every time you had an industry campaign against an asbestos ban, they used the same rhetoric. They focused on the potential benefits – cheaper spare parts for cars, cheaper water purification – and doing so implicitly assumed that deaths and destroyed lives, were a low price to pay.

This is the same strategy that’s being used by those who today talk about finding productive uses for generative models without even so much as gesturing towards mitigating or preventing the societal or environmental harms.

Declare your AIndependence: block AI bots, scrapers and crawlers with a single click

This is a great move from Cloudflare. I may start using their service.

New Web Development. Or, why Copilots and chatbots are particularly bad for modern web dev – Baldur Bjarnason

The paradigm shift that web development is entering hinges on the fact that while React was a key enabler of the Single-Page-App and Component era of the web, in practice it normally tends to result in extremely poor products. Built-in browser APIs are now much more capable than they were when React was first invented.