I said “inspired by” and not “exact digital replicas”.

In classical MLP networks a neuron is modeled as an activation function depending on its inputs. Connections between those are “learned”, basically weights which determine the influence of one neuron’s output on the next neuron’s input. This is indeed Inspired by biological neural networks.

Interestingly, in some computer vision deep learning architectures, we have found structures after the training procedure which are even similar to how human vision works.

There are a bunch of different artificial neural network types, most – if not all – inspired by biology. I wouldn’t be so bold to reduce them in that absurd manner you did.

As neural networks in AI are inspired by nature, new techniques will surely follow the insights gained by such brain mapping research.

That’s okay, since I am never coming to Epic Games. Seems only fair.

What’s the context?

That’s fine as well.

Your first error was to create a reddit app.
Your second error was to not create or contribute to a Lemmy app instead.

Hope that helped. :)

I don’t know about the equipment of Waymo cars, but I would be surprised if they didn’t have LIDARs or some other form of distance based environment detection.

And that should be sufficient to implement basic obstacle detection. You don’t need to use machine learning if you can use sensors telling you that “something is too close”.

You play games at work?

As long as you’re having fun, you’re doing everything right.

Deep Rock Galactic with about 1000 hrs.

Best Co-Op game I’ve ever played with a marvellous community and its own subculture. It has been my absolute favourite game for a couple of years.

Stopped playing though when they introduced the “flappy boots” minigame. I know it’s optional and there are mods to get rid of it, but somehow this has killed the entire game for me. Silly, but can’t help the feeling.

In German I would say “die Luft ist raus” about this. Literally translated: “the air is out” and describes situations where something totally lost its appeal and is now just “meh”, although it was (very) appealing before.

If you haven’t played it before and like co-op shooters: give it a try. You probably won’t regret it.

Telegram is 100% backdoored

What makes you so sure?

Seagate. The company that sold me an HDD which broke down two days after the warranty expired.

No thanks.
laughing in Western Digital HDD running for about 10 years now

For the non-roboticists: SLAM = Simultaneous Localization And Mapping.

In robot navigation problems we often face the problem to get a grasp of the environment and the robot’s position in it. It’s easier if there’s already a map provided and some sort of external observer who knows where the robot is relative to the map.

Since people don’t usually go into your home to map it out and install some sensors in order to locate the robot, SLAM is the way to go. While moving through an environment, a map of the environment is created and by utilzing some fancy techniques based on sensor data like from cameras, mic+loudspeaker, LIDAR or whatever, it is possible to also infer the robot’s position.

I’ve always wanted to make a website like this. But then I got too addicted to some game and spent all my time on that instead. /j

Only partly joking, I really wanted to make a website similar to this. But then stuff happened. You know how it is.

(Here was an entire wall of text, where I detailed the idea, before I decided to delete it all again.)

No need. Fortunately I live in a country with much better worker protection laws. However, in a lot of countries this isn’t the case. As in the USA which is well known for making it difficult for workers to unionize.

God forbid people have some self expression

They do indeed forbid it.

10 "If you go to battle against your enemies, and the LORD your God delivers them into your control, you may take some prisoners captive. 11 If you see among the prisoners a beautiful woman and you desire her, then you may take her as your wife. 12 Bring her to your house, but shave her head and trim her nails

Deuteronomy 21

Oh man, religions are batshit crazy.

CEO: okay. You’re replacable anyway. Bye.

Probably has to be renamed to “ClosedAI” then.

Rebranding a Markov Chain stapled onto a particularly large graph

Could you elaborate how this applies to various areas of AI in your opinion?

Several models are non-markovian. Then there are also a lot of models and algorithms, where the description as or even comparison to Markov-chains would be incorrect and not suitable.

My point is, that the following statement is not entirely correct:

When AI systems ingest copyrighted works, they’re extracting general patterns and concepts […] not copying specific text or images.

One obvious flaw in that sentence is the general statement about AI systems. There are huge differences between different realms of AI. Failing to address those by at least mentioning that briefly, disqualifies the author regarding factual correctness. For example, there are a plethora of non-generative AIs, meaning those, not generating texts, audio or images/videos, but merely operating as a classifier or clustering algorithm for instance, which are - without further modifications - not intended to replicate data similar to its inputs but rather provide insights.
However, I can overlook this as the author might have just not thought about that in the very moment of writing.

Next:
While it is true that transformer models like ChatGPT try to learn patterns, the most likely token for the next possible output in a sequence of contextually coherent data, given the right context it is not unlikely that it may reproduce its training data nearly or even completely identically as I’ve demonstrated before. The less data is available for a specific context to generalise from, the more likely it becomes that the model just replicates its training data. This is in principle fine because this is what such models are designed to do: draw the best possible conclusions from the available data to predict the next output in a sequence. (That’s one of the reasons why they need such an insane amount of data to be trained on.)
This can ultimately lead to occurences of indeed “copying specific texts or images”.

but the fact that you prompted the system to do it seems to kind of dilute this point a bit

It doesn’t matter whether I directly prompted it for it. I set the correct context to achieve this kind of behaviour, because context matters most for transformer models. Directly prompting it do do that was just an easy way of setting the required context. I’ve occasionally observed ChatGPT replicating identical sentences from some (copyright-protected) scientific literature when I used it to get an overview over some specific topic and also had books or papers about that on hand. The latter demonstrates again that transformers become more likely to replicate training data the more “specific” a context becomes, i.e., having significantly less training data available for that context than about others.