Nym, a decentralized, token-based infrastructure that provides end-to-end privacy, from the network layer to the application layer. It combines a decentralized mixnet with a credential system, incentivizing participation through NYM tokens to ensure sustainability and scalability. Nym seeks to counter mass surveillance by protecting both the content and metadata of…

Imagine you want to send a letter, but you don’t want anyone to know who sent it, who received it, or even what it says inside. It’s not enough to use an opaque envelope; you need a network of mail carriers who don’t even know they’re working for you, routes…

Reflections and summary of the essay “Situational Awareness” by Leopold Aschenbrenner, a document that oscillates between enthusiasm and warning, as if it were written with the awareness that we are on the threshold of something gigantic and tremendously risky.

AGI by 2027 is strikingly plausible. GPT-2 to GPT-4 took us from ~preschooler to ~smart high-schooler abilities in 4 years. Tracing trendlines in compute (~0.5 orders of magnitude or OOMs/year), algorithmic efficiencies (~0.5 OOMs/year), and “unhobbling” gains (from chatbot to agent), we should expect another preschooler-to-high-schooler-sized qualitative jump by 2027.

AI progress won’t stop at human-level. Hundreds of millions of AGIs could automate AI research, compressing a decade of algorithmic progress (5+ OOMs) into ≤1 year. We would rapidly go from human-level to vastly superhuman AI systems. The power—and the peril—of superintelligence would be dramatic.

The most extraordinary techno-capital acceleration has been set in motion. As AI revenue grows rapidly, many trillions of dollars will go into GPU, datacenter, and power buildout before the end of the decade. The industrial mobilization, including growing US electricity production by 10s of percent, will be intense.

The nation’s leading AI labs treat security as an afterthought. Currently, they’re basically handing the key secrets for AGI to the CCP on a silver platter. Securing the AGI secrets and weights against the state-actor threat will be an immense effort, and we’re not on track.

Reliably controlling AI systems much smarter than we are is an unsolved technical problem. And while it is a solvable problem, things could easily go off the rails during a rapid intelligence explosion. Managing this will be extremely tense; failure could easily be catastrophic.

Superintelligence will give a decisive economic and military advantage. China isn’t at all out of the game yet. In the race to AGI, the free world’s very survival will be at stake. Can we maintain our preeminence over the authoritarian powers? And will we manage to avoid self-destruction along the way?

As the race to AGI intensifies, the national security state will get involved. The USG will wake from its slumber, and by 27/28 we’ll get some form of government AGI project. No startup can handle superintelligence. Somewhere in a SCIF, the endgame will be on.