📊 EV’s Charts of the Week #104
Analysis: How precision medicine is giving rise to new cancer treatments
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. Every Wednesday, I do this in Charts of the Week.
🔥 I am encouraging readers to follow me on Mastodon, the decentralised social network. It is unclear the extent to which Twitter will remain a useful network for information sharing and discovery, so as an insurance policy I’m recommending people also build profiles on Mastodon.
CHART OF THE WEEK
Crooked incentives
Reducing GHG emissions while destroying biodiversity is beyond nonsensical. But biodiversity is a tricky issue to tackle; countries have never really managed to reach any international treaties, private governance is inconsistent and opaque, we’re lacking reliable data, and the richness of biodiversity is unequally distributed across the globe. A first step might be to adjust subsidies to be in line with the protection of critical ecosystems.
WEDNESDAY SURVEY
Source: World Economic Forum
Last week, we asked how much it cost the creators of Stable Diffusion to train their AI models using 4,000 GPUs over the course of a month. 31% of readers selected the correct answer: $50 million.
The rest of the edition is open to paying members only. Here’s what’s behind the paywall 🔒:
Analysis: How precision medicine is giving rise to new cancer treatments,
Some countries’ surprising economic performances,
Why Europe moving away from Russian gas is good news for China.