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Daily Archives: June 21, 2023
OpenAI Lobbied the E.U. to Water Down AI Regulation
The CEO of OpenAI, Sam Altman, has spent the last month touring world capitals where, at talks to sold-out crowds and in meetings with heads of governments, he has repeatedly spoken of the need for global AI regulation.
But behind the scenes, OpenAI has lobbied for significant elements of the most comprehensive AI legislation in the world—the E.U.’s AI Act—to be watered down in ways that would reduce the regulatory burden on the company…
… In 2022, OpenAI repeatedly argued to European officials that the forthcoming AI Act should not consider its general purpose AI systems—including GPT-3, the precursor to ChatGPT, and the image generator Dall-E 2—to be “high risk,” a designation that would subject them to stringent legal requirements including transparency, traceability, and human oversight. — Read More
Inside China’s underground market for high-end Nvidia AI chips
Psst! Where can a Chinese buyer purchase top-end Nvidia (NVDA.O) AI chips in the wake of U.S. sanctions?
Visiting the famed Huaqiangbei electronics area in the southern Chinese city of Shenzhen is a good bet – in particular, the SEG Plaza skyscraper whose first 10 floors are crammed with shops selling everything from camera parts to drones. The chips are not advertised but asking discreetly works. — Read More
Podium Announces Podbook: A new AI tool that transforms podcasts into books
Podium, a trailblazing company known for developing innovative AI tools for podcasters, has unveiled a revolutionary product—Podbook. This AI-powered application transforms podcast episodes into fully-fledged books, providing a seamless way for creators to repurpose their content, engage with their audience in a new format, and generate an additional revenue stream. With sophisticated language processing, Podbook ensures the transformed content reads like a book, enhancing the reader’s experience. Currently, Podbook is in closed beta, with the waitlist now open for all podcasters interested in this cutting-edge product. — Read More
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AI Is a Lot of Work
As the technology becomes ubiquitous, a vast tasker underclass is emerging — and not going anywhere.
A few months after graduating from college in Nairobi, a 30-year-old I’ll call Joe got a job as an annotator — the tedious work of processing the raw information used to train artificial intelligence. AI learns by finding patterns in enormous quantities of data, but first that data has to be sorted and tagged by people, a vast workforce mostly hidden behind the machines. In Joe’s case, he was labeling footage for self-driving cars — identifying every vehicle, pedestrian, cyclist, anything a driver needs to be aware of — frame by frame and from every possible camera angle. It’s difficult and repetitive work. A several-second blip of footage took eight hours to annotate, for which Joe was paid about $10.
Then, in 2019, an opportunity arose: Joe could make four times as much running an annotation boot camp for a new company that was hungry for labelers.
… [I]t was a job in a place where jobs were scarce, and Joe turned out hundreds of graduates. After boot camp, they went home to work alone in their bedrooms and kitchens, forbidden from telling anyone what they were working on, which wasn’t really a problem because they rarely knew themselves. — Read More
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