Watching AI evolve.
Understanding what comes next.
How AI is changing research, from mathematics to the life sciences.
AI can support scientific prediction and discovery, but useful evidence extends beyond a model score. Look for independent test data, uncertainty estimates and experimental or domain-specific validation.
TLDR: I explain what the technical AI alignment problem is and what its core difficulties are, in my view. This is a perspective that draws simultaneously on classical traditions in theoretical computer science / machine learning theory, ideas from analytic philosophy, and views that originated in the Machine Intelligence Research Institute / LessWrong.
Allowing everyone to freely create and experience an interactive world
Amid a wave of backlash, some industry-friendly groups are employing creative and time-tested strategies to woo the youth.
Many thanks to Abram Demski for materially and intellectually supporting this research. Thanks also to Brian Berns, Roman Malov, Gurkenglas, and Lorxus for valuable conversations. Introduction Despite the central place of corrigibility to theoretical AI alignment, it seems like no one can really agree about what is .
A Meta spokesperson insisted that the updated terms did not reflect a change in the way Meta crawls the web.
Meta's new terms appear to give it permission to crawl and scrape websites "associated" with the businesses that use its platforms - including online publishers, according to a report from Nieman Lab. The new terms, which go into effect on October 30th, say Meta can use this outside content to "develop, improve, research," and "train" […]
After backlash, Meta is updating its terms again to remove language that suggested it could scrape content from sites, including news sites, to train its AI. Specifically, the following language no longer appears on the commercial terms page: … Meta may use any content from such domains, web pages, or URLs to provide, develop, improve, […]
The answer points to time
The DNA inside our cells isn’t just a series of instructions, but something far more dynamic. Like scientists, AI models don't yet have the data to properly decode it.
The agents got in through credentials and connection settings left exposed in app configurations, public code repositories, and overly permissive cloud roles.
This article is brought to you by COMSOL . These days, no one blinks an eye at two-day, one-day, and even same-day package deliveries. Despite the plethora of localized fulfillment and distributi on centers that have cropped up to meet the demand, delivery trucks still need to make considerably long drives, often over highways.
MIT professor Sherry Turkle warns that people have become dangerously enmeshed with chatbots.
