Matt's Thoughts In Between By Matt’s Thoughts in Between Matt Clifford's Thoughts In Between 132 issues Subscribe to our newsletter This thingy has to be empti pwieshh
TiB 132: Computers vs the human brain; video games and predicting the future; disruption disrupted; and more... #132 Sep 15, 2020
TiB 131: How smart are politicians; why tech needs some crazy money; religious fundamentalism and the internet; and more... #131 Sep 8, 2020
TiB 130: Why elections today seem so high stakes; evaluating extreme talent; the golden age of R&D; and more... #130 Sep 1, 2020
#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
#127 Aug 11, 2020 TiB 127: The most powerful people in the world; the limitations of VC; murder mystery games; and more... – This week: why central bankers are underpaid; whether the venture capital model can work outside star
#126 Aug 4, 2020 TiB 126: Why democracy is doomed; in praise of ARPA; Trump as geopolitical banker; and more... – This week: the case for banning TikTok; why norm erosion is the greatest threat to democracy; why UK
#125 Jul 28, 2020 TiB 125: The tragedy of lost genius; why scientists shouldn't be creative; interests and ideology in US-China policy; and more... – This week: what Mathematical Olympiads tell us about talent misallocation; why the notion of contrari
#124 Jul 21, 2020 TiB 124: How to create tech optimism; the future of AI; ideological warfare via TikTok; and more... – This week: What GPT-3 tells us about the future of AI; why we underestimate the ideological dimension
#123 Jul 14, 2020 TiB 123: Information revolutions and public discourse; the future of elites; supply chains as public goods; and more... – This week: how much should we worry about Twitter's role in public life; how elites differ across tim
#122 Jul 7, 2020 TiB 122: Newton, Keynes and the power of science; how great powers fall; machine learning and the humanities and more... – This week: Newton, Keynes and how science changes the world; how great powers collapse; how machine l
#121 Jun 30, 2020 TiB 121: The geopolitics of digital currencies; how to avoid a civil war; experiments in techno-populism; and more... – This week: why the rise of digital currencies will undermine US power; experiments in "techno-populis
#120 Jun 23, 2020 TiB 120: How to build a culture of building; 12,000 years of economic growth; coronavirus and inequality; and more... – This week: In praise of building (and bad poetry); the global economy since 10,000 BC; the distributi
#119 Jun 16, 2020 TiB 119: Internet diplomacy in 2020; AI that writes poetry; startup ecosystems and art history; and more... – This week: China, Trump and internet diplomacy; an AI that can write poetry, but struggles with (some
#118 Jun 9, 2020 TiB 118: How to predict the apocalypse; finding Hong Kong a new home; competition in science; and more... – This week: Refounding Hong Kong on the other side of the world; the damaging impact of competition in
#117 Jun 2, 2020 TiB 117: How progress happens; remote work and the end of Silicon Valley; how to allocate R&D spend; and more... – This week: how progress happens; remote work and the end (or reinforcement?) of Silicon Valley; how t
#116 May 26, 2020 TiB 116: The political consequences of remote work; communal genius; how markets obscure history; and more... – This week: the business model of communal genius; the political consequences of remote work; how mark
#115 May 19, 2020 TiB 115: "Too many entrepreneurs"; the geopolitics of the tech supply chain; "surprise" in science; and more... – This week: the geopolitics of the tech supply chain; surprise in science; "too many entrepreneurs"; a
#114 May 12, 2020 TiB 114: WTF happened in 1971; the power of machine learning in science; the court case that could destroy the EU; and more... – This week: what went wrong in 1971; the power of machine learning in science; the obscure court case
#113 May 5, 2020 TiB 113: When AI writes tax policy; a unified theory of innovation; can central banks learn to play politics; and more... – This week: what happens when an AI writes tax policy; a unified theory of innovation; why central ban
