Honey is best girl.

That is because they don’t have any baked in concept of truth or lie. That would require labelling each statement as such. This doesn’t scale well for petabytes of data.

This. LLMs are great for information retrieval tasks, that is, they are essentially search engines. Even then, they can only retrieve information that they are trained on, so eventually, the data can get stale and the model will require retraining on more recent data. Also, they are not very good with tasks that require reasoning such as solving complex engineering problems.

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 go to mentalhealthforum.net

Adani can go fuck himself… chor saala.

Mocha and me are going to be best friends.

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.

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 see this as win-win. No mosquitoes and many cats.

Aww. Clearly a baby. Pet him for me.

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.