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A discussion of false quantisation, the danger it presents us with and our fucked up digital definition of “the ground”. …not to be conspiratorial, but this virus is weird. I had decided to follow my good mate Tyson Yunkaporta’s advice, and use the occasion of this infection to listen to what information the virus may have…
I concluded my talk encouraging people to do good things with LLMs but to not believe the conceit that their existence means we are on the verge of Artificial General Intelligence.
How the history of military and government PSYOPS involving mind-control, UFOs, magic, and remote-control zombies, explains the future of AI and generative media. Along the way, talk attendees will be given an enrollment code to join a specialized CTF/ARG game called CYCLOPS that explores these themes and that will run the duration of Congress.
It brings to mind Marinetti. “We stand on the last promontory of the centuries!” he wrote in 1919. “Why should we look back, when what we want is to break down the mysterious doors of the Impossible?” Tech billionaires are radicalizing because they won’t accept any challenge to their power. Andreessen wants to force people…
From the “just give poor people money” file… But the biggest takeaway from the study was not about how much money they spent on addictive substances. It was that people who received the $750 were more likely to get off the streets. “The proportion of people who reported spending time unsheltered in the past month…
Yet Another Vector for ML Fuckerytm Training set auditing… it’s a *must* A popular training dataset for AI image generation contained links to child abuse imagery, Stanford’s Internet Observatory found, potentially allowing AI models to create harmful content. LAION-5B, a dataset used by Stable Diffusion creator Stability AI and Google’s Imagen image generators, included at least…
The problem for AI is that while there are a lot of risk-tolerant applications, they’re almost all low-value; while nearly all the high-value applications are risk-intolerant. Once AI has to be profitable – once investors withdraw their subsidies from money-losing ventures – the risk-tolerant applications need to be sufficient to run those tremendously expensive servers…
I’m endlessly amused by the concept of one of Musks creations biting the hand that feeds it, but there is a much more important lesson here. LLMs are pretty easy to stand up these days, but their creators need to be hyper vigilant about the shit-in, shit-out problem. Still, it’s particularly goofy, to borrow a…
Dave5 