A little something we’re working on, you can try it here: http://galerie.ai/
It does two things
1. Returns results from a growing library of the best AI art
2. Lets you create AI art from multiple generative models (including Stable Diffusion 1.5, 2.0, 2.1, and MidJourney)
Let me know what you think!
We auto-suggest some of the trending prompts and popular art results on the home page, try it out!
For example here is ” photorealistic portrait, a young beautiful woman Goddess wearing Echo of Souls Skull Mask armor, skeletal armor bones made from 24k gold and silver metal intricate scroll-work engraving details on armor plating, skeletal armor, gemstones, opals, halo, aura, intricate details, symmetrical,”:
A few highlights from recent reports, including a very thoughtful and informed assessment of crypto post-FTX:
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The late 1980s was “Peak Japan” – the West was obsessed with the notion that Japan was going to overtake the U.S. as the most powerful economy in the world. Instead, Japan entered a period of lost decades, while the U.S. presided over an era of globalization, expanding free trade, technological innovation, and (relatively) unrestrained American military power. These were not the only geopolitical conventions that turned out to be wrong. Germany went from Sick Man of the Euro (we can thank The Economist for that prediction) to center of a European industrial renaissance. China emerged out of Tiananmen as the newest and largest “Asian tiger.”
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It was not until Russia invaded Ukraine in February 2022 that it became clear that the world had changed irrevocably – or at minimum, that global sentiment had changed irrevocably. (Aside: It is ironic that Russia has its fingerprints over the last three major global geopolitical transitions. The Russian Revolution brought us the rise of Communism and the Cold War. The collapse of the Soviet Union brought us U.S. hegemony. Might Russia’s failed invasion of Ukraine now open the door to the multipolar multiverse?)
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Fiat money allows governments and central banks to be more flexible and strategic – they can design policies around interest rates and money supply without being dependent on what mining companies can extract from the ground. The downside of this is that money, whose value for so long had been based on an objective factor (the value of a precious metal), was now officially politicized.
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In that sense, FTX may well be the beginning of the long-awaited clash between cryptocurrencies and governments – not because FTX is in any way representative of cryptocurrencies, but because it gives governments the excuse they need to crack down on them. It is unclear how many people lost money, or even their life savings, in the FTX debacle (an issue to societal stability in its own right), but you can be sure governments will use the FTX example as they aim to regulate cryptocurrencies into oblivion – or at least into becoming similar to other tradeable securities rather than as a fundamental threat to the future of money.
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Max Weber once wrote that the state is defined in part by its claim to the monopoly on the legitimate use of physical force. I think we can add that the state claims a monopoly on the legitimate use of currencies within its borders. When the state decides to use the former to ensure the latter, we will see just how powerful cryptocurrency really is – and based on recent developments, it is a clash soon in the making.
Not yet trillion dollar “take on Googles” startups yet – but will be a serious challenge to Google for first time
eg, Human level chatbot interface that actually works – new medical services, new education services
Idea of language interface where you say in natural language, dialogue, and computer just does it for you
Very powerful models will be one of genuine new tech platforms since mobile
How to create an enduring differentiated business
-small handful of large base models will win – skeptical of startups doing small models
–middle layer will become really important – take large models, tune it, create model for medicine, or model for AI friend – will have data flywheel
Lots of AI experts think these models won’t generate net new knowledge for humanity – thinks they’ll be wrong and surprised
AI in science:
1. Science dedicated products eg Alpha Fold – will see a lot more, bio cos will do amazing things
2. Tools that make us more productive – improve net output of scientists and engineers – eg, CoPilot
3. AI that can be an AI scientist to self improve – automate our own jobs, go off and test new science and research – teaching AI to do that
What is Alignment Problem?
A powerful system that has goals in conflict with ours
How do we build AGI that does things in best interests of humanity
How to avoid accidental or intentional mis-use
AI could eventually help us do alignment research itself Reid: will be able to tell agent “don’t be racist” and let it figure out
AI moonshots?
-language models will go much further than people think – so much algorithmic progress to come, even if we run out of compute or data
–true multi modal models – every modality, fluidly move between them
-continuous learning models
These above 3 things will be huge victory
OpenAI – focus on next thing where we have high confidence, let 10% of company go and explore
Can’t plan for greatness, but sometimes breakthroughs will happen
AI will seep in everywhere Marginal cost of intelligence and energy will rapidly trend towards zero – will touch almost everything
Metaverse will become like iPhone – a new container for software AI will be new technological revolution – more about how metaverse will fit into AI then vice-versa
Low cost + fast cycle times is how you compete as a startup
In bio – simulators are bad, AI could help
What are best utopian sci-fi universes so far
-Star Trek is pretty good
-The Last Question is incredible short story
-Reid: Ian Banks – Culture series
-tried to write his own sci fi story, was a lotta fun
Having a lot of kids is great – wants to do it
Won’t be doing prompt engineering in 5 years
Will be text / voice in natural language to get computer to do what you want
eg, Be my therapist and make my life better; Teach me something I want to know
Reid: great visual thinker can get more out of DALL-E — will be an evolving set of human talents going that extra mile
How to define AGI Equivalent of a median human that you can hire as a coworker – be a doctor, be a coder
Meta-skill of getting good at whatever you need
Super intelligence = smarter than all of humanity put together
Economic impacts will be huge in 20-30 years Society may not tolerate that change – what is the new social contract
How to fairly distribute wealth
How to ensure access to AI systems (“commodity of the realm”)
Not worried about human fulfillment – we’ll always solve it
But concepts of wealth and access and governance will all change
Running largest UBI experiment in world – 5 year project
Tools for creatives — will be the great application for AI in short-term
Mostly not replacing, but enhancing their jobs
How do these LLMs differentiate from each other?
The middle layer is what will differentiate – the startups fine-tuning the base models, about the data flywheel, could include prompt engineering
b) In addition to being false, the claims do not make sense to me. Alameda Research’s own insolvency was triggered by a market crash, which in turn triggered FTX’s insolvency; it would have been absurd to create a market crash in order to take out 3AC, and then in turn bankrupt my own businesses.
7) Various claims that I created a hard-partying culture at FTX
a) Our ‘parties’ were mostly dinner and board games
b) I didn’t have my first drink until I was 21, and to my knowledge have never been drunk
b) I have a prescription for Emsam, and have for roughly a decade. I use it, daily, for its only on-label use as an antidepressant. It is not generally the case that people are expected to talk about their private medical conditions, but enough paparazzi have snapped photos of my belongings and theorized about it online that I guess I have no choice.
On Twitter, CZ claimed that “we decided to pull out as an investor” in a thread chalk full of lies.
a) In fact, I reached out to CZ in 2021 to initiate discussions about buying them out of their stake in FTX.
b) I initiated these discussions because, among other things, it was becoming increasingly difficult for FTX to operate with CZ as a significant equity owner. CZ was not cooperative in sending his KYC information to regulators that we were applying for licenses with.
c) The last few months have been difficult enough for everyone that it feels unremarkable to me, in comparison, that I need to put on the official Congressional Record that I am, and for most of my adult life have been, sad.
Late Microsoft cofounder Paul Allen wanted to create Allen Institute for AI – hired Oren to make it happen
Paul had vision of computer revolution, relentless focus on prize of understanding intelligence and the brain
AI2’s mission is “AI for the common good”
AI2’s incubator – 20+ companies in pre-seed stage
Natural part of university lifecycle – ideas that can then grow with right resources
Created Semantic Scholar – free search engine for scientific content
New tool – help make PDFs easier to read, auto-create TLDRs for science papers
Sky Light – computer vision to fight illegal fishing
Deep learning for climate modeling – why use neural network? “Deep learning is ultimate prediction engine”
“Common Sense” project – holy grail for AI – how to endow computers with common sense
Common sense ethics are very important
eg, the paper clip creator that takes over humanity to maximize paper clip production
“Alignment problem” is part of it Are neural nets enough? Do you need to create symbolic knowledge?
Yujin Choi’s team, Mosaic – common sense repository – a collection of common sense statements about the universe What about when people disagree? Can relativize answers, eg, “if you’re conservative, you would think X; if liberal, think Y”, etc
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“Never trust an AI demo” – need to kick tires and ask right questions
eg, Siri / Alexa – slight changes create very different responses
“You shall know a word by the company it keeps” – underlying principle of NLP
Used to think encoding grammar rules was important
But today’s tech is good at approximating those rules
What is the nature of human level intelligence?
How do we collect and understand human knowledge?
Tech that gets you to space station is different from going to Mars, different from leaving Solar System, etc
Large language models (LLMs) are doing “hallucination”, not very robust (different wording leads to different answers)
Eg, who was US president in 1492? “Columbus”
Is it a game of whack of mole? Or is there some fundamental paradigm of human intelligence?
Some experts believe our current algorithms – back propagation, supervised learning, etc – are foundation for more sophisticated architecture that could get us there
Eg, neural nets are very simple brain models
Disagrees strongly with Elon Musk’s views on AI — doesn’t believe we’re “summoning the demon” — it’s hype, not rooted in data
Neural net tuning – like a billion dials on a stereo
Science is hampered if there are third rails you’re not allowed to study or question
Steadfast in support of open inquiry
Researchers are cautious about releasing language models to public – easy to generate controversial outputs
Surprised by progress of the technology – but again, never trust an AI demo
Think about what’s under hood, implications for society
