Mega Project Rankings (USD Inflation Adjusted)
The New Deal: $1T,
Interstate Highway System: $618B,
OpenAI Stargate: $500B,
The Apollo Project: $278B,
International Space Station: $180B,
South-North Water Transfer: $106B,
The Channel Tunnel: $31B,
Manhattan Project: $30B
Insane Stuff.
And Stargate Project is... what exactly? What is the goal? To make Altman richer, or is there any more or less concrete goal to achieve?
Also, few items for comparison, that I googled while thinking about it:
- Yucca Mountain Nuclear Waste Repository: $96B
- ITER: $65B
- Hubble Space Telescope: $16B
- JWST: $11B
- LHC: $10B
Sources:
https://jameswebbtracker.com/jwst/budget
It has been quite clear for a while we'll shoot past human-level intelligence since we learned how to do test-time compute effectively with RL on LMMs (Large Multimodal Models).
Look, making up a three-letter acronym doesn't make whatever it stands for a real thing. Not even real in a sense "it exists", but real in a sense "it is meaningful". And assigning that acronym to a project doesn't make up a goal.
I'm not claiming that AGI, ASI, AXY or whatever is "impossible" or something. I claim that no one who uses these words has any fucking clue what they mean. A "bomb" is some stuff that explodes. A "road" is some flat enough surface to drive on. But "superintelligence"? There's no good enough definition of "intelligence", let alone "artifical superintelligence". I unironically always thought a calculator is intelligent in a sense, and if it is, then it's also unironically superintelligent, because I cannot multiply 20-digit numbers in my mind. Well, it wasn't exactly "general", but so aren't humans, and it's an outdated acronym anyway.
So it's fun and all when people are "just talking", because making up bullshit is a natural human activity and somebody's profession. But when we are talking about the goal of a project, it implies something specific, measurable… you know, that SMART acronym (since everybody loves acronyms so much).
Also, "Dario Amodei says what he has seen inside Anthropic in the past few months leads him to believe that in the next 2 or 3 years we will see AI systems that are better than almost all humans at almost all tasks"
“Preprint out today that tests o1-preview's medical reasoning experiments against a baseline of 100s of clinicians.
In this case the title says it all:
Superhuman performance of a large language model on the reasoning tasks of a physician
Link: https://arxiv.org/abs/2412.10849”. — Adam Rodman, a co-author of the paper https://x.com/AdamRodmanMD/status/186902305691786464
—-
Have you tried using o1 with a variety of problems?