self

after the predictable failure of the Rabbit R1, it feels like we’ve heard relatively nothing about the Humane AI Pin, which released first but was rapidly overshadowed by the R1’s shittiness. as it turns out, the reason why we haven’t heard much about the Humane AI pin is because it’s fucked:

Between May and August, more AI Pins were returned than purchased, according to internal sales data obtained by The Verge. By June, only around 8,000 units hadn’t been returned, a source with direct knowledge of sales and return data told me. As of today, the number of units still in customer hands had fallen closer to 7,000, a source with direct knowledge said.

it’s fucked in ways you might not have seen coming, but Humane should have:

Once a Humane Pin is returned, the company has no way to refurbish it, sources with knowledge of the return process confirmed. The Pin becomes e-waste, and Humane doesn’t have the opportunity to reclaim the revenue by selling it again. The core issue is that there is a T-Mobile limitation that makes it impossible (for now) for Humane to reassign a Pin to a new user once it’s been assigned to someone.

as I was reading through this one, the quotes I wanted to pull kept growing in size until it was just the whole article, so fuck it, this one’s pretty damning

here’s a thin sample of what you can expect, but it gets much worse from here:

Internal conversations at Nvidia viewed by 404 Media show when employees working on the project raised questions about potential legal issues surrounding the use of datasets compiled by academics for research purposes and YouTube videos, managers told them they had clearance to use that content from the highest levels of the company.

A former Nvidia employee, whom 404 Media granted anonymity to speak about internal Nvidia processes, said that employees were asked to scrape videos from Netflix, YouTube, and other sources to train an AI model for Nvidia’s Omniverse 3D world generator, self-driving car systems, and “digital human” products. The project, internally named Cosmos (but different from the company’s existing Cosmos deep learning product), has not yet been released to the public.