@ajambrosino Why is browser, desktop and codex in terminal so disconnected? Should it not be integrated like any other platform like messenger or whatsapp? It would be really handy to be able to leave codex running on one platform and monitoring on another..
For anyone questioning whether this post is overhyped, I think they are actually *underselling* the approach.
We did similar experiments and found that Claude models can write entire, functional neural net weights from scratch! https://t.co/8kLTXHPNY6
this whole story sounds made up lol
i just learned that AI is creating a lab monkey crisis.
in 2019, a lab monkey cost $3,000. now they're $20,000+ each, and it’s about to get way worse.
that's because AI can now design endless new drugs to cure diseases in humans.
but a lot of these new drugs need to be tested on monkeys first before they can go into a human, because they're one of our closest living relatives.
so the more drugs AI designs, the more monkeys we need to test them.
but we were *already* running out of monkeys before AI showed up.
it started in 2020 when China (who supplied 60% of America's lab monkeys) banned exports.
so labs switched to Cambodia, until the US found out in 2022 that monkeys there were illegally being caught in the wild and sold as farm-raised
so American labs stopped buying
the obvious fix would be to just breed more monkeys
but a female monkey only starts having babies around age 4, and after that she only has one baby a year.
so supply simply can’t keep up.
even China, which kept all its monkeys for itself, is now sold out at about $26,000 a monkey (roughly 12x the 2019 price)
this is why this startup (Safer Human Medicine) wants to build a 30,000-monkey farm in the US
the plan is to start with 500-1,000 macaques (the main monkey used in drug testing) from farms in Asia, then breed them up to 30,000 over about 20 years.
so eventually, American labs can finally stop relying on the (increasingly expensive!) 20,000 monkeys imported every year.
SpaceX CFO panicked on the earnings call
‘We installed them in the racks but we haven’t turned them on yet and there’s a very important reason why a CFO would jump in and cover their butt, because the second you turn on those GPUs you have to start depreciating them; you have to start booking the loss of the capital that you spent to buy them’
‘If they are not turned on yet you don’t have to encor that depreciation expense and if you take that exchange and the gigawatts and the CFO, that’s why our earnings are so great because we’re not depreciating all these assets’
‘They are just buying these things, buying them in thousands and they are just putting them on shelves; they aren’t even installing them, they can’t install them because they can’t get the data center built’
Last month, we demonstrated high-rate alchemy: turning mercury into real, stable gold, beating CERN’s record by a factor of 10.
Last week, we enriched isotopes in the world’s most powerful plasma centrifuge, beating the Soviet record that stood for 40 years.
Now, we’re building a fusion reactor in San Francisco to achieve record power density.
Some rumors I've heard. I'll start with Google, then Anthropic and OpenAI.
Google: Insiders say Google has either cracked RSI (recursive self-improvement) or is very close. Their pace has picked up fast in recent months. They went from GPT-5 level to Opus 5.5 level in months, and speculation is that RSI made that possible.
Anthropic: About a week ago, Anthropic started a new pretraining run. It is not Fable 5.5 but what would become Fable 6, or something bigger, to catch up to OpenAI's Bel.
OpenAI: Bel (it may have another codename) is the model behind the math results OpenAI published a few days ago, and RSI apparently helped there too.
From what I'm hearing, OpenAI, Anthropic, and Google are all very close to cracking RSI or already have. It will get scary and exciting at the same time.
@paulbohm This is only the share of compute? The total number of FLOPS going to Pre-training is still much much larger than before. If a model is smarter, that means that it also probably need more fine-tuning/RL, but less pre-training? I dont see the problem with this?
The terms for this sucks, and you agree to them by just applying.
- §2.4 Anthropic "may develop similar or competitive technology"
- §2.4 permits reuse, for any purpose, of general ideas, know-how and techniques remembered by personnel looking at your data
- §D.4 prohibits accessing their services to build competing products or services
- §F.1 allows them to retain and perform safety reviews, superseding ZDR (whats the point of ZDR then?)
and it could get worse later!
- §6 permits changes to the addendum at any time without notice or liability
@jason you advising your start ups to apply for this?
[1] https://t.co/IFeoVixOsb
[2] https://t.co/PKJFl6UBlr
In this era of artificial intelligence, it is becoming urgent to distinguish human art from what machines produce. There is an ontological difference, even before an aesthetic one, between art and what a machine can generate through statistical calculation based on millions of images created by others. Algorithms lack the spark of humanity. For this reason, the Church wishes to renew an alliance with artists and cultural institutions to safeguard our humanity.
Wait… are these tech CEOs actually going along with renaming AI to SI?
I thought it was a joke?! this is the most 1984 newspeak thing I’ve ever seen what is happening