Maybe you can find some red cabbage growing nearby?

I feel this deserves more attention. Not only is the Milky Way named for literal milk; it is named for specifically for human milk.

Any information about “unnatural” acts in nature was suppressed until the 1990s or so. Of course, by then it wasn’t so bad anymore, but still. Conservatives don’t fuck around when they cancel.

I think Biological Exuberance by Bruce Bagemihl had a big role in calling this out and paving the way for Kees Moeliker. I guess that is how you got saddled with the presentation, yes?

For those who don’t know, Moeliker gave a really good TED talk. Worth watching. It’s not about suppressing uncomfortable information, though.

Next Wednesday, June 5th, is Dead Duck Day.

Makes you wonder what they are up to now.

The bug is called Leroy.

Yes, better tools to analyze data will yield great results. Even a good push to scan all those finds and make all the data available would probably allow amazing new discoveries. The catch is that people like to hoard that data and milk it for their own careers and fame.

That said… LLM is Large Language Model. By definition, LLMs are unlikely to analyze 3-dimensional shapes. The newer AIs, like Gemini or GPT-4o, also use vision and audio but they are often still called (multimodal) LLMs. It’s justifiable as they still seem to have language at the core, but it’s getting increasingly dubious.

Not exactly ancestors, as others have said.

DNA doesn’t last nearly long enough. Scientists have made great strides in analyzing ancient DNA (aDNA), They have decoded the genomes of Neanderthals and other extinct human species. But that aDNA is only tens of thousands of years old. IIRC the theoretical maximum is something like 1 million years. No chance on dinosaur DNA.

As to how what evidence there is, I think that’s already sufficiently answered, and better than I could.

The creator is the automatic copyright owner, or in some cases their employer. Copyright is automatic through international treaties like the Berne convention. The Berne convention is from the 19th century and was created by the authoritarian european empires of the time. The US joined only in 1989. I think your question shows that the idea has not fully taken hold of the public consciousness. Automatic copyright is now the global norm. (I always wonder how much its better copyright laws helped the US copyright industry to become globally dominant.)

Very short and/or simple texts are not copyrighted. IE they are public domain.

Adding a license statement gives others the right to use these posts accordingly. It only serves to give away rights but is not necessary to retain them. The real tricky question is the status of the other posts. I’d guess most jurisdictions have something like the concept of an implied license. Given how fanatical some lemmy users are on intellectual property, not having it in writing is really asking for trouble, though.

What such a license means for AI training is hard to say at this point. The right-wing tradition of EU copyright law gives owners much power. They can use a machine-readable opt-out. Whether such a notice qualifies is questionable. However, there is no standard for such a machine-readable opt-out, so who knows?

US copyright has a more left-wing tradition and is constitutionally limited to certain purposes. It’s unlikely that such a notice has any effect.

Other country presidents are accepted though.

There’s the trick. Chose a small country, where the president is less busy and not as well guarded. I’d turn into an iceland pony. Scratch a message into the ground and the president will be around shortly; nice photo op for the tourists. There’s enough people there who speak english. Alternatively, Ireland would be a good pick if you want to be sure they speak english.

They are also retained by anyone who has archived them., like OpenAI or Google. Thus making their AIs more valuable.

To really pull up the ladder, they will have to protest the Internet Archive and Common Crawl, too. It’s just typical right-wing bullshit; acting on emotion and against their own interests.

We invented the matrix for worms.

Links:

• https://heyseth.github.io/worm-sim/
• https://github.com/heyseth/worm-sim

More: https://openworm.org/getting_started.html

Upvoted. Then saw that that put the count at 422. So I had to downvote instead.

I’m waiting for some irish person to comment. Will this get OP killed in Norn Iron?

artificial intelligence noun

1 : the capability of computer systems or algorithms to imitate intelligent human behavior

also, plural artificial intelligences : a computer, computer system, or set of algorithms having this capability

2 : a branch of computer science dealing with the simulation of intelligent behavior in computers

https://www.merriam-webster.com/dictionary/artificial intelligence

Behind every successful man there is a woman, making him look like he has a mullet.

Yes. It is a new tool for vfx artists and not a replacement. If they can deliver higher quality for less money, you’d expect them to be more in demand.

“Never” is a big word, but it’s really not clear how one would train an AI to know what it should generate. See the hubbub about diversity in google’s image generator. I see no theoretical problems, but in practice it’s just not going to happen any time soon.

Needlessly dangerous. The only positive outcome would be to make people aware of what is possible. The danger is that non-marked media will appear more credible.

That is, indeed, the point.

I think you misunderstand. She is shifting responsibility.

But Apple landed itself in court because it had no clue how its credit algorithm worked and could not conceive how it could possibly be sexist if the machine didn’t get any gender data to analyse.

This appears to be wrong.

I’m not really sure what the author is trying to do here. The way he plays with the meaning of words, like “culling the outlier” is literary interesting. But it is also actively harmful to understanding or bettering the issues raised.

“AI” is interpreted as “algorithmic inferences.” This paves over any of the technical distinctions between statistics, ML, AI, and neural nets. In the current hype, the term AI is often narrowed down to mean neural nets but the author widens the meaning. In the text, “AI” includes any kind of bureaucratic or rule-based decision-making.

The effect is to transfer responsibility away from decision-makers, organizations, and even society, at large, to a vaguely understood new technology.

I can see that this could be welcome to these decision-makers and organizations. And so it has the potential to attract funding from them. Perhaps that is the point.

These terms were coined by academics. These people feel that “learning” is part of appearing intelligent. They don’t get out much.