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Dwarkesh Patel
Looking for an energy expert to interview on my podcast. I want to get in the weeds on what will happen the wild AI worlds.
As AI actually becomes capable of substituting for human labor, your country's GDP will be denominated by your AI population size, which is downstream of energy.
What does this mean for different countries? Given how fast the US falling behind China in electricity generation, what would it take for us to make up the ground?
What are the most plausible sources (natural gas, nuclear, solar), what are their supply curves, the main physical or regulatory bottlenecks that would slow down a ramp up, etc.
Who's the right guest to chat this through?


143,61K
If you want to explore blogging about AI, this seems like a great way to give it a shot, get great mentorship, and hold yourself accountable.


Asterisk17.7. klo 04.15
Asterisk is launching an AI blogging fellowship!
We're looking for people with unique perspectives on AI who want to take the first step to writing in public. We'll help you build a blog — and provide editorial feedback, mentorship from leading bloggers, a platform, & $1K

29,24K
Really interesting new @gwern essay:
LLM Daydreaming - Proposal of how default mode networks for LLMs are an example of missing capabilities for search and novelty
Btw, I know it's a bit cringe to delight in, but if you had told 19 year old me that a Gwern essay would open like this, I would have found it hard to believe.

120,41K
Had fun chatting with Ryan and Josh about the state of AI. Enjoy!

Josh Kale15.7. klo 01.24
We had @dwarkesh_sp on the show!
Dwarkesh is the synthesis of the brilliant ideas he's teased out of his guests over the years
Having the opportunity to turn those tables and ask him the questions with @RyanSAdams created a pretty special episode about all things AI. Tune in👇

21,09K
Great thread.
The biggest failure mode when doing difficult intellectual work is to procrastinate the hard, aversive, but effective parts (rereading the chapter instead of doing practice problems, collecting more sources instead of writing the first draft, etc).
LLM use is (for now) often one such.

Quentin Anthony12.7. klo 16.21
I was one of the 16 devs in this study. I wanted to speak on my opinions about the causes and mitigation strategies for dev slowdown.
I'll say as a "why listen to you?" hook that I experienced a -38% AI-speedup on my assigned issues. I think transparency helps the community.

37,58K
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