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

Últimas publicaciones

Paul Scharre@paul_scharre22 Sep

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? 1K views · 8 likes · 0 reposts · 3 replies Open on X →

Paul Scharre@paul_scharre18 Sep

Wild story. And a good reminder of the importance of having *reliable* AI in national security applications: https://t.co/w50mvNx5el 1.1K views · 10 likes · 1 reposts · 3 replies Open on X →

Paul Scharre@paul_scharre14 Sep

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: ... 1.2K views · 14 likes · 2 reposts · 2 replies Open on X →

Paul Scharre@paul_scharre23 Jun

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. 8.2K views · 51 likes · 12 reposts · 5 replies Open on X →

Paul Scharre@paul_scharre14 Mar 2023

@paul_scharre Hi Paul - This book looks very timely. And important! When can we expect a Kindle version (or, even better, an audio version)? 81 views · 1 likes · 0 reposts · 1 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.3K views · 2 likes · 0 reposts · 1 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.5K views · 5 likes · 0 reposts · 1 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

For more, check out the book! https://t.co/LnIsixzhTz 1.4K views · 1 likes · 0 reposts · 0 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.3K views · 1 likes · 0 reposts · 1 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.3K views · 2 likes · 0 reposts · 2 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.4K views · 1 likes · 0 reposts · 2 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.2K views · 2 likes · 0 reposts · 1 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 1.2K views · 2 likes · 0 reposts · 1 replies Open on X →

Paul Scharre@paul_scharre28 Feb 2023

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. 35.2K views · 114 likes · 32 reposts · 21 replies Open on X →

Frente a cuentas del mismo tamaño

3 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a más gente que cuentas de su tamaño.

Visualizaciones medianas1 056esta cuenta924mediana de 10K–100K

Alcance, %6.66%esta cuenta3.62%mediana de 10K–100K

Interacción, %1.33%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	1 056	924	1.14×
Alcance (visualizaciones ÷ seguidores)	6.66%	3.62%	1.84×
Tasa de interacción	1.33%	1.52%	0.87×

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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

1.2K

1.4K

1.3K

1.4K

1.5K

1.3K

8114 Mar

8.2K23 Jun

1.2K14 Sep

1.1K18 Sep

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%

0.29%

0.30%

0.15%

0.07%

0.39%

0.23%

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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Engagement rate per post

What the audience does

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