I waiting for gog release to purchase KCD2.

Mad Max.

I thought me and Nicole had something special. Nooooooo. Now what will I do.

That is so cool. I suck at CSS.

I am developing software as a hobby that is fairly specialized in nature. That is only because I could not get a job doing the same thing. Fuck corporate monopolies.

If you are worried about US laws affecting FOSS projects, it can always be forked, perhaps even be rewritten.

Said nobody ever. Not blaming anyone. It’s just an observation.

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 got this message too.

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.

Sometimes, the point is not to challenge, but to provide better alternatives. At least I think so.

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.

I do this with my nephew. It is quite something to be able to share our childish fantasy with someone else.

I don’t have a lot of money. I have been unemployed for more than 1.5 years and I am already spending a lot of my parents’ money to set up a small business. Still, I really want to support it. I will try to give like 5 dollars or so, just as a show of support.