Tootfinder

it annoys me when news headlines refer to a government agency as taking a horrific action when it is clearly the work of the unconstitutional attackers of that agency, like saying the "EPA" is shredding environmental protections, but without an institutional opposition that is willing to defend these agencies and hire the ousted administrators to speak on behalf of the "real" agency, i don't see why i should care anymore.

AI, AGI, and learning efficiency
My 4-month-old kid is not DDoSing Wikipedia right now, nor will they ever do so before learning to speak, read, or write. Their entire "training corpus" will not top even 100 million "tokens" before they can speak & understand language, and do so with real intentionally.
Just to emphasize that point: 100 words-per-minute times 60 minutes-per-hour times 12 hours-per-day times 365 days-per-year times 4 years is a mere 105,120,000 words. That's a ludicrously *high* estimate of words-per-minute and hours-per-day, and 4 years old (the age of my other kid) is well after basic speech capabilities are developed in many children, etc. More likely the available "training data" is at least 1 or 2 orders of magnitude less than this.
The point here is that large language models, trained as they are on multiple *billions* of tokens, are not developing their behavioral capabilities in a way that's remotely similar to humans, even if you believe those capabilities are similar (they are by certain very biased ways of measurement; they very much aren't by others). This idea that humans must be naturally good at acquiring language is an old one (see e.g. #AI #LLM #AGI

Wow so awesome that there's AI youtube channels just pumping out fake slop about a specific historical figure, sometimes getting millions of views for it, baselessly enshrining them further as some sort of infallible cultural deity to comments sections full of people who actually believe it, that's so cool.

@… & @… I didn't manage to find a straightforward answer to this, and was wondering if you could help.
(I can also open these on a dedicated issue tracker or mailing-list if you prefer)
Mullvad VPN tr…

Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions
Meng Chen, Akhil Iyer, Amy Pavel
https://arxiv.org/abs/2507.15692

Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions
Multimodal large language models (MLLMs) provide new opportunities for blind and low vision (BLV) people to access visual information in their daily lives. However, these models often produce errors that are difficult to detect without sight, posing safety and social risks in scenarios from medication identification to outfit selection. While BLV MLLM users use creative workarounds such as cross-checking between tools and consulting sighted individuals, these approaches are often time-consuming…

"My read of economic and financial history is that market pricing almost never takes into account the possibility of huge, disruptive events, even when the strong possibility of such events should be obvious. The usual pattern, instead, is one of market complacency until the last possible moment."
https://info…