Corsight plans to release a new product that combines DNA and face recognition technology and could have significant law enforcement and privacy implications.
In this report, we examine Corsight’s product roadmap for “DNA to FACE,” presented at the 2021 Imperial Capital Investors Conference, possible use cases for the technology, and warnings from a privacy expert.
IPVM collaborated with MIT Technology Review on this report, see the MIT Technology Review article: This company says it’s developing a system that can recognize your face from just your DNA Read More
Daily Archives: January 31, 2022
The new version of GPT-3 is much better behaved (and should be less toxic)
OpenAI has built a new version of GPT-3, its game-changing language model, that it says does away with some of the most toxic issues that plagued its predecessor. The San Francisco-based lab says the updated model, called InstructGPT, is better at following the instructions of people using it—known as “alignment” in AI jargon—and thus produces less offensive language, less misinformation, and fewer mistakes overall—unless explicitly told not to do so.
… Previous attempts to tackle the problem included filtering out offensive language from the training set. But that can make models perform less well, especially in cases where the training data is already sparse, such as text from minority groups.
The OpenAI researchers have avoided this problem by starting with a fully trained GPT-3 model. They then added another round of training, using reinforcement learning to teach the model what it should say and when, based on the preferences of human users. Read More
Introducing the First Self-Supervised Algorithm for Speech, Vision and Text
- We’re introducing data2vec, the first high-performance self-supervised algorithm that learns in the same way for speech, vision and text.
- With data2vec, we’re closer to building machines that learn about different aspects of the world around them without having to rely on labeled data. Read More
Three things web3 should fix in 2022
A viral video highlights some very real shortcomings in the next-generation internet
Last weekend, it felt like everyone I knew was sending me the same link. “The Problem With NFTs,” a long video essay by the Canadian media critic Dan Olson, ricocheted around all corners of the tech world since it was uploaded on Friday. (It now has 2.6 million views and climbing.) Over 138 meticulously researched minutes, Olson traces the history of the 2008 financial crisis, the creation of Bitcoin and Ethereum, and the rise of NFTs and DAOs, and reaches the conclusion that what we have taken to calling “web3” is effectively beyond saving: the technology is too broken, and its creators too indifferent to its failures, for it to ever to live up to the promise of its most starry-eyed backers.
Few of Olson’s criticisms are entirely new, and on my Twitter timeline this week, I saw many crypto enthusiasts dismiss them out of hand. Few people working in the space will be surprised to learn that crypto3 is awash in grifts; that current blockchains are energy inefficient and expensive; or that digital wallets are difficult to use and fraught with danger. Many web3 builders will also bristle at Olson’s tone, which is smug and hectoring in the house style of the YouTube video essayist; his audience is not people working in crypto, but rather everyone he thinks ought to be afraid of those people.
And yet the collective force of Olson’s arguments is substantial. His essay explains the rise of cryptocurrencies through the lens of rising inequality; pandemic-era isolation and loneliness; self-dealing venture capitalists; and a desperate sense among young strivers that the future is only ever getting smaller. All of which feels particularly timely, given this week’s crash in crypto prices. Read More
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