How AI automation can fulfill Thomas Piketty's predictions on rising economic inequality, and why highly progressive taxes on capital can help slow the spiral
Piketty was wrong about the past. He's probably right about the future. — 1. Introduction X: @briancalbrecht , @saikatc , @harryh , @jankulveit , @daniel_271828 , @krishnanrohit...
OpenAI, Oracle, and SoftBank announce five new data center locations in the US, boosting Stargate's planned capacity to nearly 7 GW
The new sites will boost Stargate's planned capacity to nearly 7 gigawatts—about equal to the output of seven large nuclear reactors.
Amazon launches Rufus, an AI-powered shopping assistant trained on its product catalog and information from around the web, in beta for some US customers
Amazon's new AI assistant designed to help you shop Efe Udin / Gizchina : Amazon launches an AI shopping assistant called Rufus Joe Rogun / MSPoweruser : Amazon launches AI shoppin...
Anthropic researchers: AI models can be trained to deceive and the most commonly used AI safety techniques had little to no effect on the deceptive behaviors
[images] Abraham Samma / @abesamma@toolsforthought.social : Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training — This is some sci-fi stuff right here (e...
Anthropic researchers: AI models can be trained to deceive and the most commonly used AI safety techniques had little to no effect on the deceptive behaviors
Most humans learn the skill of deceiving other humans. So can AI models learn the same? Yes, the answer seems — and terrifyingly, they're exceptionally good at it.
A research paper details how decomposing groups of neural network neurons into “interpretable features” may improve safety by enabling the monitoring of LLMs
Neural networks are trained on data, not programmed to follow rules. With each step of training …
A research paper details how decomposing groups of neurons in a neural network into interpretable “features” may improve safety by enabling monitoring of LLMs
Neural networks are trained on data, not programmed to follow rules. With each step of training …