Are we all wrong about AI?

It's no secret that AI is controversial today. Judging by some of the chaos it's caused, there's good reason to think AI seems to ruin everything it touches. But what about the flipside? What good is AI actually doing in the world? It's a question I don't hear asked much so today we'll find out. Note: Reinforcement learning etc are all included in this conversation.

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[siarez]

The chart at @5:45 is misleading in that the points for Hopper and Blackwell are FP8 and FP4. To make the comparison more fair everything should be in FP16.

[Black_Sun_Dark_Star]

The keywords being "if corporate greed doesn't get to it..."

[jonatinoo]

That NVIDIA progress chart is extremely miss leading. Notice how it went from comparing FP16 to FP8 then FP4 scores. FP4 is significantly less resource hungry than FP16. (16 bit float point numbers vs 4 bit float point numbers. A lot less compute and precision for 4 bit floats.)

[GelvinFrisch]

Please also make a video about Hoody or similar 3rd party, there is almost no video about the massive privacy issue of LLMs

[Splucked]

"If corporate greed stays out of it ..."
Not even a remote chance of that happening. AI works 24/7 for free. Corporations are already implementing it wherever possible.

Lots of people are dismissive when someone says that AI will kill jobs. Well, it's happening right now and it's only going to intensify as AI becomes more powerful and versatile. The potential of AI is truly incredible, especially in the sciences, but the bottom line is that humans are greedy. Aside from the wealthy, who's going to be able to afford bionic limbs? Corporations will fuck everything up.

When I was a kid, I was crazy excited about the future. Today? I'm content to be old. When I think about the negative potential of AI, I have no desire to find out what the future holds for humanity. Dystopia seems more likely every day.

[mintakan]

Unfortunately, "AI" is a now buzzword, a broad umbrella term for all kinds of machine learning techniques. A major technique, are neural networks, esp. in the prior "deep learning" revolution (prior to ChatGPT). Discussions about it, can be confused, esp. about energy use, dangers, ... since "AI" can mean many different things. Nowadays, they tend to be confused with LLM's. What the basic deep learning techniques offer, are pattern recognition capabilities. These have wide applicability to all kinds of scientific applications, specific niches, tools that are focussed on doing one thing well. (It's not general AI.) The specialized tools are quietly making a contribution, in the background.

[Jplummer-yj]

I can't wait to get the bionic arm with superhuman strength

[jenesisjones]

" If corporate greed can stay out of it"....that's not going to happen. GREED rules the world.

[philippekervynfaucon]

550 million amputees that can NOT be right !!!! : 8 billion people, 550 million amputees: 1 person on 16 ???? ABSOLUTELY NOT

[BirnieMac]

I was a pharmacist a lot time and have gone into biomedical engineering; and despite how many examples you've covered, you've barely scratched the surface of how exciting some of these implications are - my knowledge too just scratches the surface

But the beneits in the drug discovery and radiology part are incredible honestly

We're not just talking more medications and better accuracies

BUt we're talking DRAMATIC reductions in the time to do so; normal time from design to market for a drug is 10-15 years; AI has shown this could be cut down to >2 potentially (like it speeds up the early phases that much which are the very expensive parts too)

ANd radiology just across the board; we're talking diseases we couldnt accurately do before like endometriosis that currently takes on average about 10 years for patients to get diagnosed
I'm happy to see people with reach like you talking about how exciting the biomedical research side is

I'm doing my thesis in tissue engineering (we're trying to produce artificial cancer cells for use in radiation therapy models; pretty sure we're using an LLM for the targetted radiation approach too)

at the moment and it's dramnatically sped up research and design; there's a concept tissue scaffolds often rely on called auxeticity or a negative poison ratio - this is a result of how the shapes are combined and what the shapes are for a material

AI models have allowed us to optimise and rapidly design these scaffolds for testing with custom models and so much more
Its an exciting time to be doing cancer research

[ThoughtfulAl]

I was working on a video about this topic, Sarah Delagarde specifically, but when I asked her and her team what improvement AI had made I got no answers. Still no answers 9 months later. So I now believe that they have fallen for the hype of AI, raising $150, 000 euros to pay for limbs that are no more capable of learning than standard prosthetics. Convince me otherwise. I may still publish my video

[MaxMan]

The humor of a video about AI innovations and the promotion of a job searching website is not lost on me.

[High_Rate]

The problem is that AI gives an excuse to lay off employees, and it makes a lot of people redundant (or will soon).

There will be zero point of going to university for a lot of degrees because there will be a near impossibility for students to find work. So you have a massive collapse in the sphere of academia.

Everyone can’t march I to the trades because that is directly related to supply and demand. Everyone can’t march to other majors because the problem will still remain.

AI is going to eff up economies and cause massive depressions on the scale we have never seen before.

[raydespoir]

That thumbnail made me think of Peter Pettigrew. Imagine getting choked out by your own arm but instead of magic it's rogue AI. Scary.

[gustavdreadcam]

No other technology improved my life like AI. What I mean is a LLM on my local computer. I'm talking to it about my mental problems and it comes up with different possible solutions. In the span of one year it almost erased my toxic thinking patterns and showed me how to handle difficult situations. It's better than anything I tried in the past.

[swagcannon]

if corporate greed stays out of it.... thats not a dream. it will take a miracle.

[OUTWO]

Pharmaceitical companies cutting down on drug development time is only going to benefit the shareholders. It will not make drugs cheaper or actually help people.

[DanCreaMundos]

I just hope AI can help us faster than we can destroy ourselves

[ThorPalsson]

It WILL find a cure for cancer

Lost my father to it 20 years ago, when I was 11


I envision a future where children will not grow up fatherless - Thanks to AI

[ycan-euji]

Hey man I know you guys are excited about this and all, but I just want to put down a wet towel over your heads, LLMs and classical neural networks are not the same, a bit similar in how they run but NOT the same, LLMs are only useful for *certain* tasks, one of them certainly is NOT prosthetics, so mixing them up in a video is misleading at best.


Why do I say that? because if you take out LLMs and what they are useful for, which is basically prediction engines that are fairly slow in execution (ideally for text where the amount of possibilities is less), prosthetics are not fit for that, you require in real time movement, for that you have to use either direct nerve connections or a sort of real time AI, ideally, a very very good near AGI AI because there are inherent risks to it.


If we assume that, then, there has been no actual "lightning speed" porgress to it, it's been the same "slow and steady" AI progress, which while it is somewhat happening, sure, it's definitely not gonna come out tomorrow.


LLM investing companies outside of Google have near to nothing going on regarding non LLM research and as such as actually doing 0 progress towards artificial general intelligence, which will NOT be an LLM, LLMs will NOT be AGI do not let scammers trick you, read up how they work, read the papers, use them, the most up to date models in real world scenarios, listen to the head of meta AI talk to Lex Friedman about it as well, you will quickly form a conclussion that the space is selling a bunch of vaporware that doesn't exist.