Matt's Thoughts In Between By Matt’s Thoughts in Between Matt Clifford's Thoughts In Between 147 issues Subscribe to our newsletter
TiB 147: Avoiding an AI race to the bottom; the never-ending Brexit; Fund People, Not Projects; and more... #147 Jan 12, 2021
TiB 146: Brain drain and top talent; the end of the US corporate elite; the TiB podcast; and more... #146 Jan 5, 2021
#144 Dec 8, 2020 TiB 144: Infecting people on purpose; Google's golden handcuffs; China's soft power agenda; and more... – This week: why smart people disagree on human challenge trials for COVID; identity, status and quitti
#143 Dec 1, 2020 TiB 143: The end of tech stagnation; green growth; why (one) climate change consensus is wrong; and more... – This week: Signs of the end of the Great Stagnation; why one piece of climate change conventional wis
#142 Nov 24, 2020 TiB 142: "Elitist" AI; how Silicon Valley sees China; the unhappiness divide in politics; and more... – This week: The (non?)-impact of the growing cost of machine learning; the troubling drop in happiness
#141 Nov 17, 2020 TiB 141: Whose jobs are at risk from robots; Friedrich Engels, venture capitalist; coronavirus fantasies; and more... – This week: Who loses their job when robots are installed; the appeal of fantasy, even when it kills y
#140 Nov 10, 2020 TiB 140: How to buy an election; accelerating scientific progress; "Shy Trump voters"; and more... – This week: Why "Shy Trump Voters" don't explain polling failures; how to buy an election (or even an
#139 Nov 3, 2020 TiB 139: King Daniel Ek; Elections and the structure of democracy; Polarisation in science; and more... – This week: What would the US look like as a multiparty democracy; how polarisation can happen even wh
#138 Oct 27, 2020 TiB 138: What's next in synthetic bio; New Zealand and sovereign wealth; when the US had a culture of building; and more... – This week: When the US had a culture of building; the last - and next - decade of synthetic biology;
#137 Oct 20, 2020 TiB 137: What China wants from Trump vs Biden; where top Chinese talent goes; America's challenging future; and more... – This week: America’s precarious future; what China wants from the US election; where top Chinese tale
#136 Oct 13, 2020 TiB 136: Taiwan and tail risk; Tiktok and algorithm design; the future of board games; and more... – This week: Why the risk of Taiwan-China conflict has never been higher; how TikTok designs its algori
#135 Oct 6, 2020 TiB 135: AI in 2020; why the world gets weirder and weirder; Big Tech and the stock market; and more... – This week: A look at the State of AI in 2020; why the stock market is less disconnected from the econ
#134 Sep 29, 2020 TiB 134: "Technological sovereignty"; why we dream; the missing piece in R&D; and more... – This week: What TikTok, Arm and SMIC tell us about technological sovereignty; new organisational desi
#133 Sep 22, 2020 TiB 133: Why the best ideas don't win; in praise of brain drain; how to preserve political norms; and more... – This week: how the "hardware lottery" shapes the development of machine learning; why brain drain can
#132 Sep 15, 2020 TiB 132: Computers vs the human brain; video games and predicting the future; disruption disrupted; and more... – This week: why big companies are less and less likely to be "disrupted"; the relative power of comput
#131 Sep 8, 2020 TiB 131: How smart are politicians; why tech needs some crazy money; religious fundamentalism and the internet; and more... – This week: Do we get the politicians we need or those we deserve; SPACs and the need for price-insens
#130 Sep 1, 2020 TiB 130: Why elections today seem so high stakes; evaluating extreme talent; the golden age of R&D; and more... – This week: what it takes to get more Bell Labs and Xerox Parcs; why elections seem so high stakes tod
#129 Aug 25, 2020 TiB 129: Authoritarian regimes and AI; the scenius of Silicon Valley; "Optimal Kickstarter"; and more... – This week: Why we should be skeptical that authoritarian regimes have a natural advantage in AI; the
#128 Aug 18, 2020 TiB 128: AI as an arms race; the depressing truth about organisations; scaling machine learning; and more... – This week: What happens if we can just keep scaling machine learning models; on AI development as a g
