Paul Scharre
@paul_scharre · joined 26 Nov 2013
Executive Vice President and Director of Studies at CNAS. Author of "Four Battlegrounds: Power in the Age of Artificial Intelligence."
15 844Followers
665Following
13 888Posts total
57.6KViews on collected posts
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We are at a critical moment in AI, with heads of the leading AI labs arguing they need to “slow the pace” of development to ensure AI systems are safe.
Is slowing or pausing AI development the right approach? Or should the U.S. race ahead?
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Wild story. And a good reminder of the importance of having *reliable* AI in national security applications: https://t.co/w50mvNx5el
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The U.S. absolutely needs to stay ahead of China in AI.
That isn’t a reason to throw safety out the window.
4 key ways the U.S. can slow Chinese AI development and widen the gap between U.S. and Chinese labs:
...
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The era of U.S. military technology dominance is ending. For the most transformative technologies changing warfare -- drones, autonomy, AI -- the U.S. military will face a relatively level playing field with competitors.
Military advantage will hinge on adoption.
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@paul_scharre Hi Paul - This book looks very timely. And important! When can we expect a Kindle version (or, even better, an audio version)?
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Institutions: The U.S. and Chinese militaries must spin-in and adopt AI technology developed in the commercial sector. History suggests what matters most is not having the best technology, but finding the best ways of using it.
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The U.S. has major asymmetric advantages over China in AI hardware and talent.
The U.S. can lead in the AI revolution, but only if it harnesses its strengths and works with allies.
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For more, check out the book!
https://t.co/LnIsixzhTz
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Hardware: The U.S. has a major asymmetric advantage over China in AI hardware and has used this position to cut off China's access to AI chips.
Yet the U.S. will need to work with key allies, esp. Japan and the Netherlands, to constrain China's domestic chip development.
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Talent: The U.S. is the destination of choice for AI scientists from around the world, including from China. The U.S. has a major advantage in AI talent, but only if it increases high-skilled immigration to draw on the world's best and brightest.
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The industrial revolution saw nations rise and fall on the global stage based on how rapidly they industrialized, and even the key metrics of power changed.
Coal and steel production became critical inputs for national power. Oil became a geostrategic resource.
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Data, computing hardware, human talent, and institutions are the four battlegrounds of global AI competition.
Whoever leads in these key areas will lead an AI-driven future.
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Data: China's alleged authoritarian advantage in data is overstated. Both China and the United States will have access to ample data resources. What will matter more is using their data effectively to train machine learning systems.
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It's out! I'm excited to share with you my new book, Four Battlegrounds: Power in the Age of Artificial Intelligence.
https://t.co/LnIsixzhTz!
Five years in the making, Four Battlegrounds explores the U.S.-China rivalry in AI and how AI is changing global power.
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Em comparação com contas do mesmo porte
3 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para mais gente do que contas do mesmo porte.
Mediana de visualizações1 056esta conta924mediana para 10K–100K
Alcance, %6.66%esta conta3.62%mediana para 10K–100K
Engajamento, %1.33%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 1 056 | 924 | 1.14× |
| Alcance (visualizações ÷ seguidores) | 6.66% | 3.62% | 1.84× |
| Taxa de engajamento | 1.33% | 1.52% | 0.87× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
35.2K28 Feb
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1.5K
1.3K
8114 Mar
8.2K23 Jun
1.2K14 Sep
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1K22 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.49%28 Feb
0.24%
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0.29%
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0.07%
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2.47%14 Mar
0.84%23 Jun
1.45%14 Sep
1.33%18 Sep
1.10%22 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes59.3%214 in total
Reposts13.0%47 in total
Replies12.2%44 in total
Quotes1.9%7 in total
Bookmarks13.6%49 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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