Yes, it wouldn't have anything new instead of 5% new things :p

What AI could do is localize games. In the sense of, put this game in my city. GTA 9 pick a city on Google maps, play it there. Yet thinking up original characters, story lines and missions, better left to humans. Integrating those into a city of choice, AI could (eventually) do that.

So if you're fine with the same characters and gameplay, yes AI could generate more Assassin's Creed games. But someone would need to enter all the historical city data ... There's no Google Earth of ancient times!

I would like to see AI paired up with quantum computing. Now it sounds scary at first thought. But, I think/hope the human race will survive in the end.  Time will tell.

I partially agree. Mostly because we have no clear definition of intelligence to begin with. Many think intelligence is an on-off switch: you either have it or not. Others think of intelligence as a linear progression. Given some entities X and Y we can clearly say which one is more or less intelligent. But both are off. Wikipedia clearly reflects this definition mess:

"Intelligence has been defined in many ways: the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving. It can be described as the ability to perceive or infer information; and to retain it as knowledge to be applied to adaptive behaviors within an environment or context."

You see given many areas of which intelligence consists. Wikipedia follows up with:

"Most psychologists believe that intelligence can be divided into various domains or competencies."

And this is I think the most important part. There are many different cognitive abilities that are summed up under the umbrella term of intelligence. They are not intrinsically linked, but in humans often a human with high abilities in one area excels in the others as well. But this is a human specific thing. The correlation may be different in animals (there is some research in it, but not too much yet) and clearly in machines.

That it is different in machines is obvious, because in some areas machines have outperformed humans a lot. Take chess for example, computers can reliably defeat human opponents for years now. Not even a century ago people thought a machine that is able to beat us in chess must easily beat us in simple reasoning tasks or other cognitive abilites. But it doesn't. And that is something we have to be clear about: different cognitive abilities are different. And there may be tomorrow a breakthrough in another area besides transformers/LLMs that progress another ability. But for transformers including LLMs I see that the amount of training data may limit their abilities and we already hitting this limit. That said, even within the limit the abilities are very impressive and we will need years to figure out all the ways we can make use of it.

To talk about another field of intelligence and artificial intelligence: many disregard motor abilities because for most of us they come without much thought. But these are cognitive abilities are actually very hard, which we see in the field of robotics. But also there were recently massive breakthroughs, which are shown in some of these demo videos by robotics companies. The agility and strength isn't really the point here, but the quickness of reaction and the ability for some more complicated fine motor tasks. This is all very impressive. Yet, I still have to see a demo of a robot tying their own shoelaces, something which we do instictively, but is a very hard task.

By Wolfenstein you mean the Doom demo. I am actually *not* impressed by that. Because I can see how it fits in to current transformer technology pretty easily. It basically makes a movie out of training data with the only novelty being that the movie is live prompted by inputs. Actually that may become a big thing, but not in gaming. But the limitations were also all too visible. The model had a very poor representation of state. Enemy and barrels came back once they were out of view and damage (both to enemies and the character) was highly inconsistent. These inconsistency implied that the model had pretty much no representation of state. Which means it is pretty much not usable in gaming.

Sorry that we germans make crazy streets. :)

Routing is a *very* hard problem, I am impressed you worked on that. And you are right, before the current hype of LLMs all these different technologies were called AI. Currently there is a focus on neuronal networks and even more on transformer architecture. Which may be unhealthy for the field. I have a strong feeling the biggest progress will not come from advance in one area of AI, but from combining different AI technologies in a useful way.

Oh Belgians are worse :p I came to an intersection there where all 4 directions had the same destination town name and Meisse was unreachable in the data. Due to turn restrictions you could only leave the town, not enter.

The human brain likely has different processes for different types of 'intelligence' as well. Neural networks are great for image processing, or sensory data processing in general. Transformer achitecture is great for root learning, learning a routine, reflex memory, which is basically what that Doom demo is.

Yet how higher reasoning, deduction etc work is still a problem.

And then how to tie it all together in an active loop which could be what we call consciousness. That voice in your head reasoning things out, combining inputs from sensory data, long term and short term memory to reason out a problem and come up with a plan / decision.

And we know all too well from humans that their decision making is based/biased on experience and beliefs. Hence the worry about using what data to train AI. Human history is fraught with bad reasoning and disastrous outcomes :/

Humans are also not a singular intelligence. Collectively we try to balance out our differences to arrive at a social contract and use each other's input to solve problems. Strength in diversity, same as evolution works. The danger with AI is, easy to clone, or rather one version. It's basically creating a dictator. Some dictators can be good, most aren't and certainly can't adjust well to changes.

Humans still haven't found a working system to live together in peace. How are we going to create a general intelligence that will...

Anyway LLMs can help with many things, good and bad. So far just another (very powerful) tool.

It was exposed before, but a new video just popped up.

This is the older article

No doubt Israel has expanded on the system by now

EXPOSED: Israel's Weaponisation of AI to Exterminate Palestinians | Mona Shtaya

Palestinian digital rights defender, Mona Shtaya, exposes Israel’s weaponisation of artificial intelligence through its surveillance and automated target systems technology used to massacre Palestinians en masse in its genocide on Gaza.

“So we’re not speaking about Hamas fighters, we’re speaking about normal civilians who were just sitting in their homes and they were targeted for the sake of being Palestinians.”

In a recent article for Mondoweiss, Shtaya argues that Israel’s participation in the first global AI treaty raises serious questions given how Israel has for months, “used advanced AI systems like ‘Lavender’ and ‘Habsora’ to target and kill civilians in Gaza, all while celebrating its role in drafting a treaty that claims to ensure responsible AI governance."

READ: Israel is joining the first global AI convention, here’s why that’s dangerous https://mondoweiss.net/2024/09/israel...

^{Mona Shtaya is a Palestinian digital rights defender, working as the Campaigns and Partnerships Manager (MENA) and Corporate Engagement Lead at Digital Actions; she is also a 2024 Migration and Technology Monitor Fellow and a non-resident scholar for the Middle East Institute (MEI) in the Palestine-Israel program. Ahmed Alnaouq is a Palestinian journalist from Gaza and co-founder of We Are Not Numbers.}


No doubt Israel is using it now in Lebanon as well