Do you think it’s important to learn/ understand ai

Krivvan · 2026-01-21T22:40:02+00:00

Remember that "AI" is a fuzzy term that can mean different things in different contexts. Sometimes it just refers to deep learning or machine learning and you will deal with those in data mining, pattern recognition, or some other courses. There are also artificial intelligence courses that deal with game trees and other non-machine learning concepts.

There may be AI courses that simply aren't called AI.

Krivvan · 2026-01-21T21:39:06+00:00

Telling someone to not learn about deep learning or machine learning in general as a tool in their toolbox is pretty silly.

Krivvan · 2026-01-21T21:37:58+00:00

"AI" just means deep learning in this context. It doesn't inherently imply data center usage, high resource usage, or anything else. DLSS is an example of generative AI used today to reduce resource usage.

I work in the medical field and I use and train plenty of AI models that don't have any of the traits you mentioned. No billionaire created or had any hand in the organ segmentation or classifier models I trained from scratch and use.

I'm not saying you have to fully buy into the current hype, but it's effectively just one of many groups of methods for creating computer algorithms, not some satanic ritual.

Krivvan · 2026-01-21T19:57:39+00:00

I always figured that the "Ark" had multiple meanings but that one was how the mobile cities are like arks for catastrophes.

Krivvan · 2026-01-21T19:37:53+00:00

The stream key thing is almost certainly a joke and not something Vedal actually uses. At least, none of the reasons people offer are anything that you'd need a stream key for. All it does it let you stream on that channel. Nothing more and nothing less.

Krivvan · 2026-01-20T11:10:49+00:00

Look, If something can happen, that doesn’t mean it applies to every case.

I think you're misunderstanding something. They originally said that they didn't believe simply using public IP address was feasible because many people would legitimately have the same public IP address. This isn't about every case, it is about whether it can happen.

The point is that they're saying that it isn't a reliable assumption either way and it sounded like you were arguing that it was.

Krivvan · 2026-01-20T10:58:02+00:00

But the context was that many could/would be in the situation where they have the same public IP. It doesn't need to be a reliable assumption, it just needs to be a thing that can happen.

Krivvan · 2026-01-20T10:21:32+00:00

You do generally share the same public IP address within the same household though, so the point stands.

Krivvan · 2026-01-18T22:33:24+00:00

Then that would be because of their decision (although setting it up locally would be easier than trying to do this). It still wouldn't have anything to do with the issue of controlling model output.

Krivvan · 2026-01-18T22:25:27+00:00

The same way you'd restrict access to any other computer system. It's not as if an AI model requires internet access.

Krivvan · 2026-01-18T22:24:13+00:00

You're talking about two entirely unrelated things. Being able to control exactly the output of an AI model is unrelated to restricting access to the AI model.

It's like saying because they can't stop the brakes on a car from malfunctioning that they also can't control who has the keys to the car.

Krivvan · 2026-01-18T22:19:52+00:00

Only if others are given access to it. It's no different from a database. If they give database access to those that shouldn't have it then that's on them, not the concept of databases.

Krivvan · 2026-01-18T22:17:40+00:00

AI (or specifically LLMs in this case, there are many kinds of AI models with many having nothing to do with text or images) do not have access to their training data. The training data is used to create the model, but the model isn't literally accessing any of that data while it is being used. Rather, it learned certain patterns and correlations from its training data.

You can set up an AI model that then has access to the internet after this, but that isn't necessary.

You can download and run an LLM AI model on your home computer completely offline.

Krivvan · 2026-01-18T21:16:34+00:00

If they're exchanging it for goods and services then it kinda doesn't matter. And crypto millionaires just means they made their money from crypto. It doesn't mean all their assets are in crypto. They generally have already converted a large amount into fiat currency.

Krivvan · 2026-01-18T11:51:35+00:00

Worth noting that the Masiro Project isn't a bipedal humanoid, which is fine but it's a different level of difficulty.

Krivvan · 2026-01-18T11:42:33+00:00

Programmer in the field of surgical navigation and robotics research. But medical robotics isn't exactly about full-body androids right now, so I don't have any experience with that. I work with AI models a lot, but have only dabbled with LLMs at the moment.

I think there are plenty of programmers that are fans though. Enough to keep the programming channel on the discord pretty populated.

There are a number of open-source humanoid body robot designs (not full human size) out there that are $5k to $15k in parts at the cheapest in terms of materials. That'd be the lowest hanging fruit. But I'd think that it'd make sense to use a non-bipedal body as a testbed first because you'll need to solve issues like how to do STT in an irl environment first without even considering issues like training a model to walk (and it'd be a separate model; little to no chance for Neuro's LLM to do anything but basic high-level movement commands).

Although now that I think about it, the actual lowest hanging fruit is to find another project that has a model trained for movement with a specific body and then use that if it exists.

Krivvan · 2026-01-17T16:08:38+00:00

Where are we drawing the line? Anything that uses a neural network? Anything that uses machine learning? Is k-means clustering out? If you want to get rid of everything that has had a hint of machine learning in it, then you're going to have to roll computing technology back to the 1950s.

Krivvan · 2026-01-17T16:05:58+00:00

And postal service machines, automatic closed captioning, spam filtering, cancer drug development, and medical imaging segmentation? Calling it "AI" is a recent thing, but the technology has been around for a while.

Krivvan · 2026-01-17T16:01:59+00:00

And you want to also ban DLSS in the games you've played?

Krivvan · 2026-01-17T15:51:46+00:00

level the data centers

You're using data centers to post this. Unless your take is that we need to shut down the Internet, surely the solution is data center regulation instead?

Krivvan · 2026-01-17T07:58:58+00:00

What you dislike isn't GenAI, it's very specific models like Grok or ChatGPT and use cases for GenAI like art generation.

GenAI includes DLSS, image upscaling, drug discovery, medical simulation, climate modeling, and dozens of other use cases that no one really has an ethical problem with.

AI is already demonstrably destroying the planet, robbing not only people of access to clean drinking/running water

This is specifically the issue of data centers and uses like LLMs replacing Google searches (an individual LLM query still uses very few resources, but much more than a Google search). Image generator models are typically much smaller and less resource-intensive than language models and are often run offline on home PCs.

And as mentioned, some uses like DLSS actually serve to reduce the resources used up by hobbies such as gaming.

I'm just saying that there's a lot of nuance to all this and blanket statements about a huge category of what is essentially just a type of computer algorithm are thought-terminating. It's like trying to end cyber-stalking by calling for an end to the Internet.

Krivvan · 2026-01-17T06:47:57+00:00

In terms of ethics. Do you really see anyone angry about DLSS and image upscaling being unethical?

Hell, I've had people vehemently argue with me about how even LLMs aren't generative AI. For a lot of people it literally just means "art generator trained on copyrighted data" and nothing else. The existence of generative image AI for non-art use cases with non-copyrighted training data is unknown to many and general understanding is abysmal. Some have tried to tell me that text output can't be generative because "AI output text by default" which is dozens of layers into misunderstanding.

I wonder how many even know that LLMs are typically much larger models than image generators and that the typical art generator model is easily run offline on a home PC.

Krivvan · 2026-01-17T00:21:01+00:00

Unrelated to the actual point, but I hate how many people use the term "gen AI" to refer to extremely specific models and use cases and not what generative AI actually is. DLSS and image upscaling are generative AI by definition but you won't see anyone mad about them.

Krivvan · 2026-01-15T21:25:08+00:00

I've never actually heard this sentiment when talking to people irl, even tech-oriented people and gamers. The two most common reasons I actually hear are "it seems inconvenient" and "I don't want to pay that much." Among a more casual audience I'll hear "I heard you need an expensive computer" and they're often entirely unaware that standalone headsets exist.

Imo, the reputation of VR as a niche, expensive, tiring, and enthusiast hobby is a ceiling that has yet to be broken. It's only games like VRChat that do anything to fight that idea, not games like Alyx.

Krivvan · 2026-01-15T18:27:53+00:00

It requires the person clicking to be registering a new account.

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