🔮 Hinton & deep learning; misinformation; meritocracy; zeposeconds, platypuses & the Pope++ #295

🔮 Hinton & deep learning; misinformation; meritocracy; zeposeconds, platypuses & the Pope++ #295

Hi, I’m Azeem Azhar. I convene Exponential View to help us understand how our societies and political economy will change under the force of rapidly accelerating technologies.

🔥 Join me next Friday for a live 30-minute discussion with Bloomberg’s Editor-in-Chief, John Micklethwait, whose latest book, co-authored with EV reader Adrian Wooldridge, looks into how the Covid-19 pandemic has exposed West’s weaknesses. We’ll stream live on Linkedin, YouTube and Twitter.

📖 Members can now read the transcript of my conversation with DeepMind’s CEO, Demis Hassabis. Full podcast is available to all to listen here.

✨ Earlier this week, I briefly wrote about China’s chip opportunity, and hosted a members’ discussion about the future of citizenship.

A reminder: I’m hosting two discussions at this year’s World Economic Forum’s Pioneers of Change Summit. EV members get a free pass for the whole event and two months of complimentary Digital Membership on the Forum’s platform. Members can access this offer here.

The near future

🤖 “I do believe deep learning is going to be able to do everything, but I think there are going to have to be quite a few conceptual breakthroughs. The human brain has about 100 trillion parameters, or synapses, whereas what we now call a really big model, GPT-3 for example, has 175 billion. It’s a thousand times smaller than the brain,” says Geoff Hinton, one of the pioneers of deep learning. In an interview with the brilliant Karen Hao, Hinton made the claim. Critics of this view include the CEO and founder of Robust.AI, Gary Marcus, with whom I spoke with a year ago. My view: I do think that we’ll be surprised by what we’ll do with deep learning. The test will come when GPT-n has more parameters than the brain which may be only five-to-ten years away. Will a 100-trillion-parameter neural network outperform a 100-trillion-connection brain? I doubt it. Will it be an amazing piece of technology? Certainly. What about a 10-quadrillion-connection neural network? What will that be like? And what will we call the things it can do?

💯 Why do we need to end the data economy, and how do we do it? Last week Carissa Véliz joined me to answer these questions. I’ll leave you with one thought from Carissa and hope that you’ll listen to the whole episode: “People might think it’s very radical to call for the end of the data economy. But what is extreme is a business model that depends on the systematic violation of rights.”

😑 Misinformation was rife during the US presidential election, particularly when it came to the already fraught issue of voting and ballots. A group of researchers took five hours and 120 people to fact check and trace the origin of a conspiracy theory called SharpieGate.  See also, an exposé of how YouTube channels make money off fake and misleading livestreams of election results. YouTube has confirmed some channels will still be allowed on the site, although the owners will be demonetised.

🔧 An interesting profile of the CEO of Volkswagen, Herbert Diess, on the electrification opportunity to which VW has committed more than €30bn. “The danger is that electric cars, which contain far fewer parts than combustion engine models, will be commoditised. It is a scenario Mr Diess hopes to combat by owning the valuable customer data generated by vehicles that are ever more automated and connected to the web.”

👎 CCTV firm, Dahua, developed software to identify and track Uyghurs, the minority Muslim population in China who have been subject to torture and violence from the state. The software source code was even publicly available on Github, although it now appears to have been taken down. It’s not even the first company to do so: Hikvision, the number one CCTV manufacturer in the world according to Charles Rollet, did so last year.

Dept of politics

Joe Biden won the US election but I was very curious about the forces that underly some of our politics, especially in the last decades of accelerating change. Here are some interesting views.

Philosopher Michael Sandel talks to The Guardian about where he thinks the left has gone wrong – its pursuit and belief in meritocracy – ahead of his new book, The Tyranny of Merit. The interview is fascinating. Sandel says:

On globalisation these parties said the choice was no longer between left and right, but between ‘open’ and ‘closed’. Open meant free flow of capital, goods and people across borders. To object in any way to that was to be closed-minded, prejudiced and hostile to cosmopolitan identities.

See also Robin Hanson’s dissection of prestige in a partial review of a new book written by Lauren A. Rivera.

Fintan O’Toole writes about what happens to democracy after the fact – “in this frame of mind, there can never be a result of the 2020 election” - about how Trump and his cronies have corrupted anything that comes next by creating “a great prairie of paranoia.”

Voting patterns and presidential elections in the US have been impacted by a 100 million-year-old coastline. The characteristics of a particularly rich soil led to fertile ground for cotton farming, which was where most slaves were forced to work. In turn, that has led to greater numbers of African American people situated around where this coastline used to be, an area now known as the Black Belt.

Dept of quantum computing

Quantum computers boil down to qubits, the ‘bits’ that encode information and enable quantum algorithms to run various calculations at the same time, at an exponential scale. D-waves quantum annealing is being used by a grocery chain in Canada. This survey on progress in quantum computing is a helpful update to progress in the domain. The field is certainly widening, Honeywell, best known for home thermostats, has even launched a quantum computing project which has quite some credibility.

Peter Shor, one of the luminaries of quantum computing, spoke to Nature about his breakthrough in 1995, and warned that we are not prepared for a post-quantum world.

🔋 Dept of decarbonisation: 411.56ppm | 3,491 days

Each week, I’m going to remind you of the CO2 levels in the atmosphere and the number of days until we reach the 450ppm threshold.

The latest measurement (as of November 2): 411.56 ppm; November 4, 2019: 409.42 ppm; 25 years ago: 360 ppm; 250 years ago, est: 250 ppm. Share this reminder with your community by forwarding this email or tweeting this.

Iberdrola, the world’s third-largest utility company, has promised to double its renewable energy capacity over the next five years. It will invest around €10 billion in 2020 and a further €65 billion will be spent on “growth”. The chairman of Iberdrola has said that the renewable capacity will rise to 60 gigawatts in 2025.

Platypus of the week

Some platypuses fluoresce when exposed to ultraviolet light.

Chart of the week will return next week.

Short morsels to appear smart while counting votes

🤳 78% of people surveyed said that are interested in buying one of the new iPhone models.

China has already moved onto post-Covid fashion and seems to be embracing a cyberpunk look, with technologically influenced, high-glamour fashion for all genders. See also from China: an underreported side of China’s technological revolution is the relationship between pearl farmers and hackers in rural China.

🤩 See ya’ later femtosecond braggarts. An experiment has measured zeptosecond-scale processes.

🙄 A story from September, which suggested that Venus’ atmosphere potentially had phosphine, a sign of life, may not be true – the algorithm used to filter out noise in telescopes may have overfitted.

Do intellectual property laws imagine creatorship as the domain of whiteness? A new book argues that this is so.

🙏🏻 Pope Francis has been praying for benevolent AI.

🏭 Every increase of 1mg of fine-particle air pollutants in a US county was associated with an 11% increase in CV-19 mortality rate.

What’s so good about being a polymath?

End note

Crazy week. Looking forward to another four years before I have to visit Drudge Report!

Stay well,


What you’re up to—notes from EV readers

Greg Williams launches Wired World 2021 this week (I have a piece in it, and EV researcher Sanjana Varghese has stories in it too, as do many other EV readers. It’s quite an amazing piece of commissioning, recommended.)

EV researcher Sanjana Varghese wrote about Feels Good Man – a documentary on Pepe the Frog – for The Economist and went on the daily podcast to talk about it.

Mete Varas has written a short piece for Medium about what healthy food and fake news may have in common.

Rodolfo Rosini has created a DIY kit for smart masks. Upvote on Product Hunt!

Lucia Komljen writes explores how AI is changing the creation and consumption of culture.

Christian Liensberger is developing Trove, which can help developers source better data for artificial intelligence.

Sue Wheat of climate solutions charity Ashden has launched Let’s Go Zero, a campaign to help schools become zero carbon by 2030.

Jason Parry has written a play for human and AI spectators.

Andrew Green of the GreenTech Alliance is hosting an event on November 11th on the Alliance’s achievements since its launch six months ago and its plans for the future.

Knut Wimberger has recently written about pandemics on his blog.

Obi Felten has been working on Amber, a project at GoogleX to better measure and monitor mental health.

Email marija@exponentialview.co to share your news and updates with us.


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