I literally purchased Rog Ally X as a response to how shitty switch 2 felt. I then installed Bazzite os on it.

Ubisoft is really paving the way for it’s own irrelevance.

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No thanks.

As far as I am concerned, I don’t give a flying fuck about ZA/UM. There is nothing they can do to win me back.

Yup. A lot of pros go onto join Indian Olympic Wrestling team. Case in point https://en.m.wikipedia.org/wiki/Phogat_sisters

They had their start in Indian wrestling.

Yes, it is still a thing.

I waiting for gog release to purchase KCD2.

But DLSS is making devs lazy. I remember playing Spider-Man 2 on my RTX 3070 on High, Raytracing off and dlss both on and off. It looked noticeably worse than Spider-Man 2014 on base PS4. Maybe it is just one game, but I was really not impressed that a 2 year old game looked worse than 10 year old game.

If I am buying top of the line GPU just to use upscalers,I am the biggest fool of all. Upscalers should be used to extend the life of older GPUs, not an excuse to poorly optimize the games. Man, what an ass backward industry is AAA games industry han become.

There is a Portuguese chef who runs his own craft chocolate factory and a cafe in my city in India. He is an incredible chef. I also love how he never sacrifices his artistic integrity for a quick profit. I love having food there often. It is an incredible fusion of western cooking methods with typical Indian produce. His name is David Belo.

I am 34. Close to 40, but not there yet.

My (slightly) balding head.

In my case, it would be blank.

I left fb when I realized I was on it out of obligation and not because I wanted to be on it. The experience was degrading minute to minute. So I just decided to delete the account one day.

Never been on Twitter as I find in rather dumb long before it was bought by Musk. I am still hanging onto my reddit account because some of the communities are not there elsewhere.

I only purchased Spider-Man 2 on PC only after they removed mandatory PSN sign-in requirement. It is stupid and dumb and I don’t need another account to keep track of.

I guess you are right. Think of it this way, LLMs are doing great at solving specific sets of problems. Now, people in charge of the money think that LLMs are the closest thing to an intelligent agents. All they have to do is reduce the hallucinations and make it more accurate by adding more data and/or tweaking the model.

Our current incentive structure reward results over everything else. That is the primary reason for this AI race. There are people who falsely believe that by throwing money at LLMs they can make it better and eventually reach true AGI. Then, there are others who are misleading the money men, even when they know the truth.

But, just because something is doing great at some limited benchmark doesn’t mean that model can generalise it to all the infinite situations. Again look at my og comment for why it is so. Intelligence is multi-faceted and multi dimensional.

This is unlike space race in one primary way. In space race, we understood the principles for going to space well enough since the time of Newton. All we had to do was engineer the rocket. For example, we knew that we have to find the fuel that can generate maximum thrust per kg of fuel oxygen mixture burnt. The only question was what form it would. Now you could just have many teams look for many different fuels to answer this question. It is scalable. Space race was an engineering question.

Meanwhile, AI is a question of science. We don’t understand the concept of intelligence itself very well. Focussing on LLMs solely is a mistake because the progress here might not even translate well and maybe even harm the larger AI research.

There are in scientific community who believe that we might never be able to understand intelligence because to understand it a higher level of intelligence is needed. Again, not saying it is true. Just that there are many ideas and viewpoints present with regards to AI and intelligence in general.

Don’t believe the hype: LLMs are not AI. Not even close. They are in fact, much closer to pattern recognition models. Fundamentally, our brains are able to ‘understand’ any query posed to it. Only problem is we don’t know what ‘understanding’ even means. How can we then even judge if some model is capable of understanding, or is the output just something that is statistically most likely?

Second, can AI even know what a human experience is like? We cannot give AI inputs in the exact form we receive them in. In fact, we cannot input the sensations of touch, flavor and smell to AI at all. So, AI as of yet cannot tell you how a freshly baked bread smells like or feels like, for example. Human experience is still our domain. That means our inspirations are intact and AI cannot create works of art that feel truly human.

Finally, AI by default has no concept of truth or false. It takes every statement in it’s training data as true, unless, they are labelled individually by hand. Of course, such an approach doesn’t scale well for petabytes of text data. So, LLMs tend to hallucinate stuff because again it is only giving out text that is only statistically most likely, given the input.

In short, we still don’t have many pieces of puzzle that is true AI. We know it is possible because we exist, but that’s about it. Sure, AI is doing better than humans in specific cases, but they nowhere close humans in understanding and reasoning.

Lol. It is really funny, how these idiotic execs are paid mega bucks to make these kinds of short-sighted decisions?

I would buy a new Prototype game. I love both games to pieces.