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Decarbonization by the Numbers (with Michele Della Vigna)

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And as regular listeners to this podcast, and readers of my newsletter will know, I've been tracking the climate crisis for the last several years. I've had conversations with everyone from clean energy entrepreneurs, to people working in decarbonization and carbon credits, to climate economists and investors. Now, today's guest is someone whose work has really helped my thinking in this area. Michele Della Vigna runs a carbonomics research program at Goldman Sachs, the investment bank, and he's been tracking the economics behind the transition to net zero. AZEEM AZHAR: His work has been really helpful for me in understanding the cost of that ambition. He's got an excellent understanding of the role of capital markets in steering decarbonization and the numbers behind humanity's greatest challenge. We spend a bit of time talking about global carbon markets and carbon pricing. That's the concept that governments can attach a cost to carbon pollution to incentivize greener behavior from polluters – effectively to embed the externality of that pollution into the prices that firms face in the market. I want to define another term of art that we use, "carbon abatement," that means reducing the amount of carbon dioxide produced from a particular industrial activity. MICHELE DELLA VIGNA: Hi, Azeem, thank you for hosting me. AZEEM AZHAR: I've been reading your carbonomics research for a couple of years now, and I'm just curious as to how it came about. MICHELE DELLA VIGNA: So at the beginning, I used to follow the energy industry, and one big question for me about three years ago was how the big oil and gas companies could change into broader energy companies that were consistent with society's aspiration to stay well within two degrees of global warming.


AI, Deep Learning, and Machine Learning: A Primer – Andreessen Horowitz

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Now to put that fact in context, compare this to 2004, when DARPA sponsored the very first driverless car Grand Challenge. Of the 20 entries they received then, the winning entry went 7.2 miles; in 2007, in the Urban Challenge, the winning entries went 60 miles under city-like constraints. Things are clearly progressing rapidly when it comes to machine intelligence. But how did we get here, after not one but multiple "A.I. winters"? And why is Silicon Valley buzzing about artificial intelligence again?


The AI Investor View: What Does 2019 Hold For European AI Startups?

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This is the fourth in a series of interviews with deep tech investors, taking the temperature of their particular fields at the start of 2019, and reflecting on the year gone by. The first three installments dived into quantum computing, space and biotech. What does 2019 hold for the AI field? This was my question to Azeem Azhar, a strategist, investor, product entrepreneur and analyst, with a hugely popular newsletter Exponential View. He is Senior Advisor for AI to the CTO of Accenture, and a Venture Partner with Kindred Capital.


a16z Podcast: Artificial Intelligence and the 'Space of Possible Minds' – Andreessen Horowitz

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What is A.I. or artificial intelligence but the'space of possible minds', argues Murray Shanahan, scientific advisor on the movie Ex Machina and Professor of Cognitive Robotics at Imperial College London. But where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.


Azeem Azhar's Exponential View: Grading AI: The Hits and Misses on Apple Podcasts

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Murray Shanahan, professor of cognitive robotics at Imperial College London and a senior research scientist at DeepMind, joins Azeem Azhar to discuss AI: where developments have exceeded expectations, where they have fallen short, and what the next steps are towards an artificial general intelligence.