New video on the details of diffusion models: https://t.co/rRjJehNuF3 Produced by @welchlabs, this is the first in a small series of 3b1b this summer. I enjoyed providing editorial feedback throughout the last several months, and couldn't be happier with the result.
Finland made great progress towards eliminating homelessness by giving people houses which they could feel was home. Alas, right-wing government has cut some of the spending and is driving homelessness back up.
They are the most important people in our society. We should be talking to them. We should be uplifting them. We should be supporting them. We should be providing resources to them.
It took us about 10 more years to begin providing a service, and then 5 more years to scale to half a million trips per week. So, the demo took 18 months, the product took about 15 years.
I think we're at this like in amazing moment in the world where the bottleneck is not the progress of the AI models, the bottleneck is diffusing that through the rest of the world and and helping the world adapt to this amazing technology that already exists. Like I think if the models didn't improve at all from today, there would still be like decades and decades of like total upheaval and change in the economy and how the world operates and and everything around us
The only way this relational story works and this is what we need more more data on is if it's not a human is not a horse in the sense that it is providing value from the output where if you replace the human, the the value of the output decreases.
local-first software, which is this idea that we want to take away a bit of the power from cloud operators and give it back to end users. So, end users should be more in control of their own data and less dependent on cloud services for providing the applications and the data that that the users need.
does that mean the robotics industry will also be generating trillions of dollars of revenue? My answer there is yes, but there will be the same extremely fast but not infinitely fast diffusion. So, will robotics be be revolutionized? Yeah, maybe tack on another year or two.
Furthermore, I believe it’s very unlikely that space-based manufacturing or mining could be lucrative enough to fund the venture.
Their words now
Today, exploding demand for power-intensive AI applications provides enough of an upside to justify producing components in space, providing the economic engine necessary to justify and fund the trillions of dollars necessary to build and sustain space factories.
the dorman was doing multiple things, many of which were human and kind of tacit. Security would be one. You know, there are no vagrants to sleep in the doorway, hailing taxis, dealing with luggage, recognizing regular guests, providing status to the hotel. There are loads and loads of value creation components to that dorman which aren't captured in the open the door definition.
If you are in regular meetings with a hardware vendor as a customer (or potential customer) you can accomplish a lot by providing firm and tough feedback, particularly with Intel today.
ultimately I think what matters is the use of AI in their economy to create economic value right I mean that's the uh the diffusion theory which is ultimately it's not the leading sector but it's the ability to use the leading technology to create your own comparative advantage right so that I think will fundamentally be the core driver
One possible reading of the last century or so of political history in China, therefore, is that governments who provide a meritocratic channel for social advancement have legitimacy and popular support, and governments who do not provide one, do not.
The US will lead for some time on breakthroughs on disruptive technologies, the zero to one technologies that ultimately change the world. But innovation is a process. It goes from invention to production and commercialization and diffusion, diffusing technology throughout all parts of the economy. And on those two stages, I think that China has a unique advantage, even if it still can’t do the zero to one breakthroughs, because in the end, how much this technology is adopted by the countries and by the various parts of the economy is fundamentally crucial to how much productivity will be unleashed.
Some models could be used both for good and ill, yes. Diffusion models in particular could be used by bad actors to hallucinate toxins or other harmful proteins.
I don’t believe it’s providing a kind of formal explanation of the different positions. It’s just saying which position is better or not that you can intuit as a human being, and then from that, we humans can construct a theory of the matter.
So, Japan has a law which you're allowed to train on any training data and copyrights don't apply if you want to train a model, A. B, Japan has 9 gigawatts of curtailed nuclear power. C, Japan is allowed under the AI diffusion rule to import as many GPUs as they'd like.
Does the user care if Perplexity has the most dominant model in order to come and use the product? No. Does the user care about a good answer? Yes. So whatever model is providing us the best answer, whether we fine-tuned it from somebody else’s base model or a model we host ourselves, it’s okay.
If it’s your code that gets you over the finish line for every project, you aren’t providing multiplicative value for the team, you’re providing the additive value of your work as an engineer.
The likelihood that someone is providing high-quality information in these domains is lower than in less controversial areas like physics or neuroscience.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.