🔮 Innate AI; the automation advantage; corporate innovation; GDPR shenanigans; democracy & Roman ice++ #167
Dept of the near future
🏆 Firms which are early adopters of AI achieve an insurmountable advantagesuggests an excellent new report on automation and its impact on work from the McKinsey Global Institute. (Full PDF, which I’ve not yet read, here.) Read also: Irving Wladawsky-Berger on what human-machine work teams of the future might look like.
💯 Superb podcast on network effects, complexity theory and the nature of technology with W. Brian Arthur, the economist who identified the importance of network effects. THOUGHT-PROVOKING
🔥 How has AI affected the demand for compute? The amount of compute used to train the most advanced neural networks has increased 300,000-fold since 2012 (much faster than a Moore’s Law style of relationship). Analyst James Wang reckons this is mostly due to firms being willing to spend more money (and thus more chips) to train neural nets and chip manufacturers, mostly Nvidia, improving chip architectures.