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The Trump Administration is on the verge of firing all ‘probationary’ employees in NIST, as they have done in many other places and departments, seemingly purely because they want to find people they can fire. But if you fire all the new employees and recently promoted employees (which is that ‘probationary’ means here) you end up firing quite a lot of the people who know about AI or give the government state capacity in AI.
This would gut not only America's AISI, its primary source of a wide variety of forms of state capacity and the only way we can have insight into what is happening or test for safety on matters involving classified information. It would also gut our ability to do a wide variety of other things, such as reinvigorating American semiconductor manufacturing. It would be a massive own goal for the United States, on every [...]
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Outline:
(01:14) Language Models Offer Mundane Utility
(05:44) Language Models Don't Offer Mundane Utility
(10:13) Rug Pull
(12:19) We're In Deep Research
(21:12) Huh, Upgrades
(30:28) Seeking Deeply
(35:26) Fun With Multimedia Generation
(35:41) The Art of the Jailbreak
(36:26) Get Involved
(37:09) Thinking Machines
(41:13) Introducing
(42:58) Show Me the Money
(44:55) In Other AI News
(53:31) By Any Other Name
(56:06) Quiet Speculations
(59:37) The Copium Department
(01:02:33) Firing All 'Probationary' Federal Employees Is Completely Insane
(01:10:28) The Quest for Sane Regulations
(01:12:18) Pick Up the Phone
(01:14:24) The Week in Audio
(01:16:19) Rhetorical Innovation
(01:18:50) People Really Dislike AI
(01:20:45) Aligning a Smarter Than Human Intelligence is Difficult
(01:22:34) People Are Worried About AI Killing Everyone
(01:23:51) Other People Are Not As Worried About AI Killing Everyone
(01:24:16) The Lighter Side
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First published:
Source:
Narrated by TYPE III AUDIO.
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By LessWrongThe Trump Administration is on the verge of firing all ‘probationary’ employees in NIST, as they have done in many other places and departments, seemingly purely because they want to find people they can fire. But if you fire all the new employees and recently promoted employees (which is that ‘probationary’ means here) you end up firing quite a lot of the people who know about AI or give the government state capacity in AI.
This would gut not only America's AISI, its primary source of a wide variety of forms of state capacity and the only way we can have insight into what is happening or test for safety on matters involving classified information. It would also gut our ability to do a wide variety of other things, such as reinvigorating American semiconductor manufacturing. It would be a massive own goal for the United States, on every [...]
---
Outline:
(01:14) Language Models Offer Mundane Utility
(05:44) Language Models Don't Offer Mundane Utility
(10:13) Rug Pull
(12:19) We're In Deep Research
(21:12) Huh, Upgrades
(30:28) Seeking Deeply
(35:26) Fun With Multimedia Generation
(35:41) The Art of the Jailbreak
(36:26) Get Involved
(37:09) Thinking Machines
(41:13) Introducing
(42:58) Show Me the Money
(44:55) In Other AI News
(53:31) By Any Other Name
(56:06) Quiet Speculations
(59:37) The Copium Department
(01:02:33) Firing All 'Probationary' Federal Employees Is Completely Insane
(01:10:28) The Quest for Sane Regulations
(01:12:18) Pick Up the Phone
(01:14:24) The Week in Audio
(01:16:19) Rhetorical Innovation
(01:18:50) People Really Dislike AI
(01:20:45) Aligning a Smarter Than Human Intelligence is Difficult
(01:22:34) People Are Worried About AI Killing Everyone
(01:23:51) Other People Are Not As Worried About AI Killing Everyone
(01:24:16) The Lighter Side
---
First published:
Source:
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

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