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How to Defeat Aging? Two Scientists Offer Their Visions

In a much-anticipated debate, prominent aging researchers Aubrey de Grey and Peter Fedichev presented their competing, but also overlapping, theories.

When the non-profits Foresight Institute, Open Longevity, and Say Forever had the idea to hold debates on the best strategy to defeat aging, there was little question about whom they should invite first. Aubrey de Grey, head of LEV Foundation and one of the faces of the longevity field, and Peter Fedichev, CEO of Gero and a rising star in the same field, already had an impromptu debate last year in Zuzalu, the longevity/crypto/AI-themed pop-up city in Montenegro. I had the honor to witness that clash of titans, which kept a small but dedicated crowd on its toes for more than two hours.

The impromptu debate in Zuzalu. Photo: Arkadi Mazin.

Fermat’s Library

“The Uncanny Valley” published by Masahiro Mori in 1970 explores how our affinity for robots changes as they become more human-like.

This paper has had a big impact on human-computer interaction and is especially relevant today’s #AI landscape.


Fermat’s Library is a platform for illuminating academic papers.

Taming the Machine, with Nell Watson

Those who rush to leverage AI’s power without adequate preparation face difficult blowback, scandals, and could provoke harsh regulatory measures. However, those who have a balanced, informed view on the risks and benefits of AI, and who, with care and knowledge, avoid either complacent optimism or defeatist pessimism, can harness AI’s potential, and tap into an incredible variety of services of an ever-improving quality.

These are some words from the introduction of the new book, “Taming the machine: ethically harness the power of AI”, whose author, Nell Watson, joins us in this episode.

Nell’s many roles include: Chair of IEEE’s Transparency Experts Focus Group, Executive Consultant on philosophical matters for Apple, and President of the European Responsible Artificial Intelligence Office. She also leads several organizations such as EthicsNet.org, which aims to teach machines prosocial behaviours, and CulturalPeace.org, which crafts Geneva Conventions-style rules for cultural conflict.

Selected follow-ups:

• Nell Watson’s website (https://www.nellwatson.com/)
• Taming the Machine (https://tamingthemachine.com/) — book website.
• BodiData (https://www.bodidata.com/) (corporation)
• Post Office Horizon scandal: Why hundreds were wrongly prosecuted (https://www.bbc.co.uk/news/business-5…) — BBC News.
• Dutch scandal serves as a warning for Europe over risks of using algorithms (https://www.politico.eu/article/dutch…) — Politico.
• Robodebt: Illegal Australian welfare hunt drove people to despair (https://www.bbc.co.uk/news/world-aust…) — BBC News.
• What is the infected blood scandal and will victims get compensation? (https://www.bbc.co.uk/news/health-485…) — BBC News.
• MIRI 2024 Mission and Strategy Update (https://intelligence.org/2024/01/04/m…) — from the Machine Intelligence Research Institute (MIRI)
• British engineering giant Arup revealed as $25 million deepfake scam victim (https://edition.cnn.com/2024/05/16/te…) — CNN
• Zersetzung psychological warfare technique (https://en.wikipedia.org/wiki/Zersetzung) — Wikipedia.

Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration.

New Study Of Cancer Cells Hopes To Improve Diagnosis & Treatment

Researchers at the Hebrew University of Jerusalem say they have developed a way to accurately predict the behavior of cancer cells, which will advance diagnosis and treatment of the disease.

The new diagnostic tool uses AI machine learning combined with nanoinformatics (observing nanomaterials) to classify cancer cell behavior in individual patient biopsies, potentially paving the way for personalized monitoring of the progression of the disease and the impact of treatments.

The study was led by Hebrew University doctoral student Yoel Goldstein and Prof. Ofra Benny from its School of Pharmacy in the Faculty of Medicine, working with Prof. Tommy Kaplan, the head of the Department of Computational Biology at the School of Engineering and Computer Science.

Ilya Sutskever, OpenAI’s former chief scientist, launches new AI company

Ilya Sutskever, one of OpenAI’s co-founders, has launched a new company, Safe Superintelligence Inc. (SSI), just one month after formally leaving OpenAI.

Sutskever, who was OpenAI’s longtime chief scientist, founded SSI with former Y Combinator partner Daniel Gross and ex-OpenAI engineer Daniel Levy.

At OpenAI, Sutskever was integral to the company’s efforts to improve AI safety with the rise of “superintelligent” AI systems, an area he worked on alongside Jan Leike, who co-led OpenAI’s Superalignment team. Yet both Sutskever and then Leike left the company in May after a dramatic falling out with leadership at OpenAI over how to approach AI safety. Leike now heads a team at rival AI shop Anthropic.

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