(started notes around 20min in)
Bad guys have AI – they’ll create deep fakes
Community can come together to have counter measures
Elad: similar arguments to regulate cryptography in 90s
4chan has been “red teaming” trying to get the worst out of Stable Diffusion – and it’s not that bad
Especially for LLMs, should have more diverse data sets, have inter-governmental agency to monitor it
Have authenticity tool to verify source of every generated AI output
Generative AI – what are some use cases that should exist
Ali v Tyson live, Lebron v Michael Jordan
Emad wants to remake final season of Game of Thrones
Anyone can create their own models – any person, company, or culture
You need better data, more structured data
Extend models to run on edge – eg, anyone’s computers, iPhones
Make small customized models
“Run Stable Diffusion on your iPhone by next year”
Create national models and communities around them – let them leap frog ahead
Lots of emerging markets went from nothing to mobile phones, now can go to AI models on the edge
How far from short-form videos?
Phenaki, Google — getting close
Chaining these models together – they’re like parts of the brain
“Within 2 years at high resolution quality”
$100B into this sector in next 5 years
AI before today was qualified data science
Now it’s a new type of AI – not AGI yet, but incredibly small and powerful
By the time his daughter’s in university, doesn’t need to write essays
He aims (for Stable Diffusion) to be a layer 1 standardized infrastructure – create Schelling point
Mission is to “activate humanity’s potential”
Take it to India, Indonesia – give it to very smart young people to make their countries better
When AGI comes, I hope it thanks him for buying so many GPUs to help bring it into being
Many of Google’s “jobs to be done” will be displaced
Crypto is interesting – he’s in it since 2012 – focused on decentralized identity, zero knowledge proofs
“Nature of crypto is literally identity”
In a world of infinite content (AI), crypto identity is important
Need to be careful designing crypto economic systems
A year ago, if he said what they planned to do with SD, people would say he’s crazy
Surprised by how far they’ve come, the ability of others to contribute
The activation energy has been the most surprising – “they’re just excited”
“Probably see biggest breakthrough from a 16 year old in Uzbekistan” – the global open access nature of it
Will completely disrupt social networks – will move intelligence from the core to the edge
Apple is doing this – moving to AI – moving to edge
Opportunity to have personalized AIs that work for us and with us
SD is applying for B corp status – mission based
Plan to spin SD into different Foundations
Did investment round in August – didn’t give up any independence – did with investors that are open sourced and mission aligned
Which industries disrupted first?
-Call centers
-Powerpoint, forms of visual communication
-Artist won’t be that disrupted – will enable new forms of art
This tech is amazingly powerful
After releasing Stable Diffusion – people encoded it in Japanese – lots of use cases like this
So far governments have been very friendly
AI powered teaching – like Neal Stephenson’s Young Lady’s Primer
Moving forward, only release safe for work models
Licensing discussions should be more open
Will have models across all sorts of languages – recently released Korean model
