Perhaps, but I don’t read anything on Substack unless I’m subscribed. Reputation is the entire point on Substack, without it, the content will get no traffic.

AI with dedicated nuclear power? I can’t imagine anything that could possiblye go wrong in this scenario.

Ssssssmokin

“Do you feel… in charge?”

Outer Worlds has no space-based content. Yes, you have a spaceship, but it’s essentially a fast-travel device. One of the locations is a space station, but it’s no different than a large building (e.g. it’s not shaped like a torus or anything interesting like that).

Outer Worlds is a really fun take on the Firefly space western concept, though, as long as you understand all of your activities will take place on worlds/moons with basically the same gravity & atmosphere.

Oh good, now when I search I’ll have to wade through the effluent of AI-produced pablum to find an actual human journalism product.

I feel like there should be a line of intention. The artist described in the article was essentially racist by ignorance. She didn’t really know any Black folks, and fetishized them from afar. Doesn’t excuse her offense entirely, but perhaps ignorance mitigates her offense somewhat.

I was pleasantly surprised that Professor Appiah’s take was so nuanced.

Haberdashers rejoice!

Research has shown that adolescents exhibit higher levels of open-earedness

I feel like this reasoning is a bit fallacious. By definition, ALL music is new when you’re young.

Sure, as a guy in my 50s, my typical shuffle playlist has like 30% of songs on it from when I was a teen, and another 30% or so from ages 20-45. But that’s because my musical tastes have grown somewhat steadily, but I haven’t stopped listening to stuff I used to like either. By simple statistics, the “variance” in my music selections has to go down over time, since I’m not discarding old music from my collection. Some kind of “regression to the musical mean” has to happen as you add more music without removing old music.

Remember when Substack, the home of many excellent journalists, started to defend fascist and white supremacist content on their platform?

Oh, wait, that’s happening right now.

\3. Asserting that their IT system is a “separate legal entity” and that they are not responsible for the accuracy of the system. They are eating legal loco weed.

It’s not “inexplicable”.

DIMM mounting brackets introduce significant limitations to maximum bandwidth. SOC RAM offers huge benefits in bandwidth improvement and latency reduction. Memory bandwidth on the M2 Max is 400GB/second, compared to a max of 64GB/sec for DDR5 DIMMs.

It may not be optimizing for the compute problem that you have, and that’s fine. But it’s definitely optimizing for compute problems that Apple believes to be high priority for its customers.

Before reading the article, I just assumed that N. Korea had hacked a game with loot boxes.

And it won’t need to exist locally on the phone anyway. Higher bandwidth cell and wifi signals mean more and more exotic AI processing can be offloaded onto cloud resources.

It’s great when you have an app that works well when not connected to a network, of course. But most phone buyers don’t really care.

Do people still use emacs to code, for example?

Umm. Yes.

it’s basically impossible to tell where parts of the model came from

AIs are deterministic.

1. Train the AI on data without the copyrighted work.

2. Train the same AI on data with the copyrighted work.

3. Ask the two instances the same question.

4. The difference is the contribution of the copyrighted work.

There may be larger questions of precisely how an AI produces one answer when trained with a copyrighted work, and another answer when not trained with the copyrighted work. But we know why the answers are different, and we can show precisely what contribution the copyrighted work makes to the response to any prompt, just by running the AI twice.

Inkscape and LibreOffice Draw do all that, but they’re not bitmap editors.

It’s literally not possible to be exposed to the history of art and not have everything you output be derivative in some manner.

I respectfully disagree. You may learn methods from prior art, but there are plenty of ways to insure that content is generated only from new information. If you mean to argue that a rendering of landscape that a human is actually looking at is meaningfully derivative of someone else’s art, then I think you need to make a more compelling argument than “it just is”.

There is literally not one single piece of art that is not derived from prior art in the past thousand years.

This is false. Somebody who looks at a landscape, for example, and renders that scene in visual media is not deriving anything important from prior art. Taking a video of a cat is an original creation. This kind of creation happens every day.

Their output may seem similar to prior art, perhaps their methods were developed previously. But the inputs are original and clean. They’re not using some existing art as the sole inputs.

AI only uses existing art as sole inputs. This is a crucial distinction. I would have no problem at all with AI that worked exclusively from verified public domain/copyright not enforced and original inputs, although I don’t know if I’d consider the outputs themselves to be copyrightable (as that is a right attached to a human author).

Straight up copying someone else’s work directly

And that’s what the training set is. Verbatim copies, often including copyrighted works.

That’s ultimately the question that we’re faced with. If there is no useful output without the copyrighted inputs, how can the output be non-infringing? Copyright defines transformative work as the product of human creativity, so we have to make some decisions about AI.

This issue is easily resolved. Create the AI that produces useful output without using copyrighted works, and we don’t have a problem.

If you take the copyrighted work out of the input training set, and the algorithm can no longer produce the output, then I’m confident saying that the output was derived from the inputs.