Live data from Hacker News

Spatial intelligence is AI’s next frontier

drfeifei.substack.com

131–136 of 136 posts

Re: Spatial intelligence is AI’s next frontier

#131

Earlier quoted context omitted.

I was originally a physicist too and then went into ML. I absolutely love research, yet this is my biggest gripe with the community. Everything is so product focused that I don't think we're even capable of making good products. Those small problems compound and add up to big problems. The thing I don't understand is that we're really good at recognizing that big problems can be broken down into small ones and that's…

I like your metaphor and will look into asphalt, from physics to chemistry… This also reminds me of another famous metaphor: “Attention Is All You Need”. The question is: are we paying attention to the wrong things as a society? Could it be that we are pouring all the resources into to getting the perfect solution to the wrong problem? Attention is the most valuable resource we have, as individuals and society.

I think something to consider is that you can't have a paradigm shift by following the current paradigm. Over and over we have stories of scientists, inventors, leaders, and so on that went against the grain and that their resilience is what led to success and massive change. How many examples do we need to account for this phenomena?

I'm not saying we should just have a free for all but that the frequency of so called "dark horses" should make us really question if we're doing things the right way. Sure, maybe it's the right way 99% of the time, but if that 1% is extremely impactful then we shouldn't discount it. And in certain areas, like academia, I think this should probably be actively encouraged rather than discouraged. It's a matter of what our objectives are. Is it to produce impact or is it simply to produce?

Another important factor, and I believe this ultimately leads to a "Great Filter" (longer discussion), is that as we advance complexity grows faster. As just a naïve example we can look at a Taylor approximation of some given function. The trend will be that low order approximations are simple to calculate while computational complexity explodes as we move to higher order ones. It's not difficult to see how this is happening in our world. The first airplane was much easier to improve upon than any modern one. Just like the first computers were easier to improve than current ones. We could say the same about almost everything, from physics to chemistry. The barrier to entry for contributing is growing, even if some low hanging fruit exists there's certainly fewer of them than before.

So I agree. Attention, and specifically attention to detail, are a critical resource. But it's becoming more critical. The problem I see is we're actively discouraging this attention and such attention is difficult in the first place. Low order approximations don't help us is a world where higher order effects dominate.

Re: Spatial intelligence is AI’s next frontier

#132

From reading that, I'm not quite sure if they have anything figured out. I actually agree, but her notes are mostly fluff with no real info in there and I do wonder if they have anything figured out besides "collect spatial data" like imagenet. There are actually a lot of people trying to figure out spatial intelligence, but those groups are usually in neuroscience or computational neuroscience. Here is a summary pap…

No you just don't understand, don't you see! the ancient greeks foresaw this centuries ago, we are just on the cusp of a world changing moment can't you feel the buzzwords flow through you! First it's creating 7 second meme videos w/ too many arms, then it's right to curing cancer and solving physics! Let the power of buzzwords calm your fears of a bubble.

Re: Spatial intelligence is AI’s next frontier

#133
post #97

From reading that, I'm not quite sure if they have anything figured out. I actually agree, but her notes are mostly fluff with no real info in there and I do wonder if they have anything figured out besides "collect spatial data" like imagenet. There are actually a lot of people trying to figure out spatial intelligence, but those groups are usually in neuroscience or computational neuroscience. Here is a summary pap…

I kept reading, waiting for a definition of spatial intelligence, but gave up after a few paragraphs. After years of reading VC-funded startup fluff, writing that contain these words tend to put me off now: transform, revolutionize, next frontier, North Star.

She's funded by fascist oligarchs at Sequoia, not hard to connect the dots. Just listen to all the buzzwords and ancient Greek allegories though, totally not a bubble...

Re: Spatial intelligence is AI’s next frontier

#134

Earlier quoted context omitted.

A good start would be: 1. Robust to adversarial attacks (e.g. in classification models or LLM steering). 2. Solving ARC-AGI. Current models are optimized to solve the current problem they're presented, not really find the most general problem-solving techniques.

I like to think I'm generally intelligent, but I am not robust to adversarial attacks. Edit: I'm trying arc-agi tests now and it's looking bad for me: https://arcprize.org/play?task=e3721c99

"I like to think I'm generally intelligent, but I am not robust to adversarial attacks. I'm trying arc-agi tests now and it's looking bad for me."

One man's modus ponens is another man's modus tollens.

"I'm trying arc-agi tests now and it's looking bad for me. I am not robust to adversarial attacks. I think I'm not generally intelligent."

Re: Spatial intelligence is AI’s next frontier

#135

Earlier quoted context omitted.

I like to think I'm generally intelligent, but I am not robust to adversarial attacks. Edit: I'm trying arc-agi tests now and it's looking bad for me: https://arcprize.org/play?task=e3721c99

"I like to think I'm generally intelligent, but I am not robust to adversarial attacks. I'm trying arc-agi tests now and it's looking bad for me." One man's modus ponens is another man's modus tollens. "I'm trying arc-agi tests now and it's looking bad for me. I am not robust to adversarial attacks. I think I'm not generally intelligent."

I forgot what modus ponens/tollens are, but you get get it - I think I'm not generally intelligent

For people coming after me, or for anyone who took discrete math a decade ago and need a quick refresher:

Modus ponens (affirming): if P, then Q. P is true, therefore Q.

If it is raining, the grass is wet. It is raining. Therefore the grass is wet.

Modus tollens (denying): if P, then Q. Q is false. Therefore P is false.

If it is raining, then the grass is wet. The grass is not wet. Therefore, it is not raining.

Re: Spatial intelligence is AI’s next frontier

#136

Earlier quoted context omitted.

I like your metaphor and will look into asphalt, from physics to chemistry… This also reminds me of another famous metaphor: “Attention Is All You Need”. The question is: are we paying attention to the wrong things as a society? Could it be that we are pouring all the resources into to getting the perfect solution to the wrong problem? Attention is the most valuable resource we have, as individuals and society.

I think something to consider is that you can't have a paradigm shift by following the current paradigm. Over and over we have stories of scientists, inventors, leaders, and so on that went against the grain and that their resilience is what led to success and massive change. How many examples do we need to account for this phenomena? I'm not saying we should just have a free for all but that the frequency of so call…

I really appreciate your wisdom hidden in this long thread embedded in a promotional post.

A lot of things changed between your last reply. I left the enterprise potholes and rabbit holes. (Ironically I got that job via a HN hire thread three years ago. I was very lucky to have a manager who would hire someone like me.)

Now I am relieved to explore what I see on the horizon. The first thing I did was going to the Apple Store to buy a latest M5 MacBook Pro with the highest 24G memory and get MLX running.

It was surprisingly good.

Now I am watching all the vibe coding videos by Andrej Karpathy and see what the trendy kids are doing.

Then I will sit down and walk through all the NN and LLM papers, dive deep to MLX, and imagine what Alan Turing would do if he had my M5.

No more rabbit holes and potholes.

Post reply on HN