It reads. It talks. It collates mountains of data and recommends business decisions. Today’s artificial intelligence might seem more human than ever. However, AI still has several critical shortcomings.
A new Citi report says finance will be “at the forefront” of changes due to artificial intelligence.
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.
Michael Galkin and Michael Bronstein argue that the era of Graph FMs has already begun and provide a few examples.
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The model is already available for free on http://claude.ai and the Claude iOS app.
Claude 3.5 Sonnet is their our strongest vision model.
Sonnet…
Dr. Ben Murnane has published an Opinion piece in FEE, the Foundation for Economic Education, a major US think thank. The essay covers #transhumanism and the new biography Transhuman Citizen, out in 10 days.
It’s telling that with the rise of AI the first instinct of many politicians is to regulate it.
As of this week, Google’s AI was still telling people to put glue on pizza — and in the process, it misrepresented a journalist’s work.
“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.
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.
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.
