Another preview of our upcoming article about Conjecture Institute Fellow @PaulRRobichaud's research, the history of the relevant ideas, and Paul's career path:
From the moment Paul attended Gille Brassard's lecture, it would take Paul a full nine years to develop all of the mathematical details he would need to complete his three-layered proof of local-realism.
Because he was in the process of creating new fundamental knowledge that had never before existed, there was no way to predict where his work was heading.
There were even long stretches of time when Paul did not make any progress or otherwise had to fix mistakes that he had made.
Neither Paul nor any checkbox-insistent administrator could have possibly known just how long Paul’s research would take, whether or not it would bear any fruit, or if the final outcome would be ‘worth’ any particular grant.
Yet with only the freedom to pursue his interests, Paul delivered.
“Many people didn’t consider me ‘productive’ during that time,” Paul says. “Often I would just learn about this or that piece of math that had nothing to do with local-realism. I’d go months without writing anything. I would just explore fundamental mathematics for the fun of it. Sometimes I’d get lucky, and something I’d learned ended up being useful in my work, as happened with algebra.”
It is worth noting that the output of the titans of science would not survive today’s publish-or-perish culture.
Charles Darwin took two decades to publish his theory of evolution by natural selection, and Isaac Newton needed about as much time before releasing his own theory of classical physics.
Had they been pressured to release their work at arbitrary times and in arbitrary chunks, the world may have rejected their work as being too half-baked—which it would have been, precisely so as to appease those who demand mechanical output over genuine solutions.
Wow, would you look at that — an institutional adaptation to the upcoming power of AI in cybersecurity.
Everyone panicking about how AI is going to go rogue fails to predict the growth of knowledge, such as these developments. Everyone who succeeds is Popperian, even the EAs.
BREAKING: Anthropic's new model, Claude Mythos, is so powerful that it is not releasing it to the public, per NYT,
Instead, it is starting a 40-company coalition, Project Glasswing, to allow cybersecurity defenders a head start in locking down critical software.
🚨 WATCH: BASIJ FORCES BEING HUNTED LIKE DOGS?
A mysterious group calling itself “Hunting Dog” is reportedly operating in Kermanshah, Iran.
Their identity is unknown. Their backing is unclear.
But they claim to have already taken out 6 Basij and regime forces.
Videos of their operations are spreading rapidly — many describe them as coordinated and highly professional.
If true, this signals a dangerous new phase inside Iran.
Boost the algorithm: Bookmark, Share, Reply, Repost, Like and Follow @MOSSADil
There's a feeling of absurdity that the Many Minds theory is true. But that is no more absurd than there being consciousness at all, and that consciousness arises as an emergent property of mechanical processes.
Once you accept that consciousness comes from hardware and software and that we are computers, accepting the multiverse theory and many minds is natural.
@patialaprats Figuring out artificial evolution looks promising.
Doing philosophy research into free will and qualia.
Follow @dela3499 and Constructor Theory work by Deutsch and Marletto
Elon, Altman, Dario, Hassabis etc. do not understand that the most scarce resource is always the universal creativity of people. Not servers, not energy production, not chip fabs.
The G in AGI is General—as in the ability to create knowledge universally. Not just in creating software, or creating biotech, but in unifying seemingly disconnected domains into one. Think Maxwell and electromagnetism.
AIs are being trained in specific domains, but their outputs are only useful when selected by a person's general imagination.
AIs inputs are also a product of our general intelligence, not some oracle or black box of wisdom. It's us, our creations distilled and remixed.
We are organic universal imaginers. AGI has been watered down to mean almost nothing. @DavidDeutschOxf's theory of mind is the only world view that unifies computation and evolutionary epistemology.
Brain=hardware constrained by memory and processing speed.
Mind=software constrained only by failures of imagination and the laws of physics.
The more people and companies anthropomorphize llms, the more actual AGI research will suffer.
Frontier AI Labs are not doing AGI research, they are just doing impressive software development.
We won't foom to AGI, but we will make incredible progress in scaling these systems to the benefit of the children of the enlightenment, us.