Tags: generative

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.

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.

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

1. Tech is dominated by “true believers” and those who tag along to make money.
2. Politicians seem to be forever gullible to the promises of tech.
3. 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.

AI took their jobs. Now they get paid to make it sound human - BBC Future

Well, this is depressing.

On being human and “creative”

Now we have this collision of those who, with the specific intent of creative expression, make things that are wholly the product of their unique experience and skills and offer them in the marketplace. Then there are those who use machines to produce derivatives of other’s creative work to offer as products in the marketplace. Both are seeking an audience and financial benefit for their offering.

Those who wholly manufacture creative works are asking the same value be put on their imitation of creative expression as the value inherent with sentient creation. They are saying they deserve the same recognition—be that in respect, attention, acknowledgement or compensation—that works created by a person might receive. But they haven’t earned it.

Using generative AI is to ask What If but then hand off not only the responsibility and effort of answering the question but also accountability for the answer. When the machine creates something pleasing or marketable, it’s “look at what I did”. When the machine creates something terrible or wrong, it’s “not my fault, the machine did it”. The claim of ownership is conditional and only maintained if the output can generate value.

There’s so much to love here, like this:

My art is the story of how I have spent the time in my life.

And this:

The value of an idea comes from the execution of the idea.

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.

Generative AI Is Not Going To Build Your Engineering Team For You - Stack Overflow

People act like writing code is the hard part of software. It is not. It never has been, it never will be. Writing code is the easiest part of software engineering, and it’s getting easier by the day. The hard parts are what you do with that code—operating it, understanding it, extending it, and governing it over its entire lifecycle.

The present wave of generative AI tools has done a lot to help us generate lots of code, very fast. The easy parts are becoming even easier, at a truly remarkable pace. But it has not done a thing to aid in the work of managing, understanding, or operating that code. If anything, it has only made the hard jobs harder.

Is Microsoft trying to commit suicide? - Charlie’s Diary

Trust:

Recall undermines trust, and once an institution loses trust it’s really hard to regain it.

Beware the cloud of hype - The History of the Web

The rise of dot-com companies was pitched as a no consequences gold rush. We were on the precipice of a fictional future where everyone would be cashing in on the web. The reality was quite a bit more slow, and boring. Business on the web consolidated, as we now know, and left most people holding the bag. There’s no knowing exactly what will happen with AI technologies, but it wouldn’t be unreasonable to expect something far more boring and centralized than what’s being promised.

Partnering with an AI company means I can no longer trust your output

Trust.

How it feels to get an AI email from a friend

My reaction to this surprised me: I was repelled

I know the feeling:

I imagine this is what it feels like when you’re on a phone call with someone and towards the end of the call you hear a distinct flushing sound.

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.

Deciphering Glyph :: A Grand Unified Theory of the AI Hype Cycle

All this has happened before. All this will happen again.

Each of these cycles has been larger and lasted longer than the last, and I want to be clear: each cycle has produced genuinely useful technology. It’s just that each follows the progress of a sigmoid curve that everyone mistakes for an exponential one. There is an initial burst of rapid improvement, followed by gradual improvement, followed by a plateau. Initial promises imply or even state outright “if we pour more {compute, RAM, training data, money} into this, we’ll get improvements forever!” The reality is always that these strategies inevitably have a limit, usually one that does not take too long to find.

In their rush to cram in “AI” “features”, it seems to me that many companies don’t actually understand why people use their products.

Google is acting as though its greatest asset is its search engine. Same with Bing.

Mozilla Developer Network is acting as though its greatest asset is its documentation. Same with Stack Overflow.

But their greatest asset is actually trust.

If I use a search engine I need to be able to trust that the filtering is good. If I look up documentation I need to trust that the information is good. I don’t expect perfection, but I also don’t expect to have to constantly be thinking “was this generated by a large language model, and if so, how can I know it’s not hallucinating?”

“But”, the apologists will respond, “the results are mostly correct! The documentation is mostly true!”

Sure, but as Terence puts it:

The intern who files most things perfectly but has, more than once, tipped an entire cup of coffee into the filing cabinet is going to be remembered as “that klutzy intern we had to fire.”

Trust is a precious commodity. It takes a long time to build trust. It takes a short time to destroy it.

I am honestly astonished that so many companies don’t seem to realise what they’re destroying.

If you use Instagram, there may be a message buried in your notifications. It begins:

We’re getting ready to expand our AI at Meta experiences to your region.

Fuck that. Here’s the important bit:

To help bring these experiences to you, we’ll now rely on the legal basis called legitimate interests for using your information to develop and improve AI at Meta. This means that you have the right to object to how your information is used for these purposes. If your objection is honoured, it will be applied going forwards.

Follow that link and fill in the form. For the field labelled “Please tell us how this processing impacts you” I wrote:

It’s fucking rude.

That did the trick. I got an email saying:

We’ve reviewed your request and will honor your objection.

Mind you, there’s still this:

We may still process information about you to develop and improve AI at Meta, even if you object or don’t use our products and services.

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.

AI-free products

Develop a simple, focused app that does what it says on the tin — not one where the tin talks back at you.