Computer scientist Brent Seales discusses unlocking the black box of AI models. They delve into the importance of transparency in AI, brain scan-like techniques to detect deceptive behavior, Marc Andreessen's techno-optimist manifesto, and using AI to decode a 2,000-year-old scroll.
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Quick takeaways
Unlocking the black box in A.I. models to bring transparency.
Using AI technology to decipher ancient scrolls and reveal historical significance.
The need for a collaborative approach to ensure technology benefits everyone.
Deep dives
The Vesuvius Challenge and the quest to read ancient scrolls
The Vesuvius Challenge, launched by tech industry figures, aims to decode a collection of rare scrolls buried and preserved in the volcanic eruption of Mount Vesuvius in 79 AD. Computer scientist Brent Seales has developed an imaging and AI approach to uncover the contents of the Herculaneum scrolls without physically opening them. The challenge involves using AI technology to decipher the scans of the scrolls and reveal their historical significance. One intermediate prize has already been won by a 21-year-old student who used AI to read the first word, which was 'purple'. The challenge offers a unique opportunity to combine technology and history to unlock ancient secrets.
The importance of the Herculaneum scrolls and the Vesuvius Challenge
The Herculaneum scrolls, preserved in the volcanic eruption, are one of the few examples of written material from ancient Rome. Historians have long been fascinated by these scrolls, but their carbonized and fragile state has made them unreadable. The Vesuvius Challenge, started by tech industry figures, aims to decipher the scrolls using AI technology and imaging approaches. The challenge seeks to uncover the valuable historical information contained within the scrolls, which could provide insights into ancient Roman culture and society. The competition offers a chance to apply modern technology to access and understand the past.
The AI-powered breakthrough in reading ancient scrolls
Computer scientist Brent Seales has made significant progress in using AI to read ancient scrolls buried in the eruption of Mount Vesuvius. Through X-ray tomography and AI techniques, the scans of the Herculaneum scrolls can be analyzed to differentiate the ink from the papyrus, previously indistinguishable. Skeptics doubted the feasibility of this method, but machine learning frameworks have been successfully trained to detect the presence of ink. The Vesuvius Challenge, a crowdsourced research contest, is employing this AI technology to decipher the hidden texts, with one participant already winning a prize for reading the first word, 'purple'. This breakthrough offers glimpses into the secrets of ancient civilizations.
Tech industry's perception of being unfairly scapegoated
The podcast discusses a mood among some Silicon Valley investors and entrepreneurs who feel they are unfairly scapegoated for societal problems. They believe they are building tools that benefit society and face backlash from journalists and social media. However, the host acknowledges that the idea of technology as a driver of progress and the pushback against it is not new.
Challenges to techno-optimism and the need for societal involvement
The podcast explores the idea of techno-optimism, acknowledging the positive impact of technology but highlighting the need for broader societal involvement. It counters the notion that technology automatically improves lives, emphasizing the importance of considering societal inequalities and the short-term consequences of technological progress. The host asserts that a collaborative approach, including diverse perspectives and safeguards, should be adopted to ensure that technology benefits everyone.
A.I. models are black boxes. You input a prompt and the model outputs nearly anything: a sonnet, an image or a legal brief riddled with lies. Today, a look at three ways that researchers are unlocking that black box in hopes of bringing transparency to A.I.
Then, Marc Andreessen’s techno-optimist manifesto has left us asking, Is he OK?!
Plus: decoding a 2,000-year-old ancient scroll with the help of A.I.
Today’s Guest:
Brent Seales is a computer scientist at the University of Kentucky.