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Gwern Branwen - How an Anonymous Researcher Predicted AI's Trajectory
Manage episode 450032746 series 2744974
Gwern is a pseudonymous researcher and writer. He was one of the first people to see LLM scaling coming. If you've read his blog, you know he's one of the most interesting polymathic thinkers alive.
In order to protect Gwern's anonymity, I proposed interviewing him in person, and having my friend Chris Painter voice over his words after. This amused him enough that he agreed.
After the episode, I convinced Gwern to create a donation page where people can help sustain what he's up to. Please go here to contribute.
Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Read the full transcript here. Follow me on Twitter for updates on future episodes.
Sponsors:
* Jane Street is looking to hire their next generation of leaders. Their deep learning team is looking for ML researchers, FPGA programmers, and CUDA programmers. Summer internships are open - if you want to stand out, take a crack at their new Kaggle competition. To learn more, go here: https://jane-st.co/dwarkesh
* Turing provides complete post-training services for leading AI labs like OpenAI, Anthropic, Meta, and Gemini. They specialize in model evaluation, SFT, RLHF, and DPO to enhance models’ reasoning, coding, and multimodal capabilities. Learn more at turing.com/dwarkesh.
* This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue.
If you’re interested in advertising on the podcast, check out this page.
Timestamps
00:00:00 - Anonymity
00:01:09 - Automating Steve Jobs
00:04:38 - Isaac Newton's theory of progress
00:06:36 - Grand theory of intelligence
00:10:39 - Seeing scaling early
00:21:04 - AGI Timelines
00:22:54 - What to do in remaining 3 years until AGI
00:26:29 - Influencing the shoggoth with writing
00:30:50 - Human vs artificial intelligence
00:33:52 - Rabbit holes
00:38:48 - Hearing impairment
00:43:00 - Wikipedia editing
00:47:43 - Gwern.net
00:50:20 - Counterfactual careers
00:54:30 - Borges & literature
01:01:32 - Gwern's intelligence and process
01:11:03 - A day in the life of Gwern
01:17:50 - Gwern's finances
01:25:05 - The diversity of AI minds
01:27:24 - GLP drugs and obesity
01:31:08 - Drug experimentation
01:33:40 - Parasocial relationships
01:35:23 - Open rabbit holes
Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe
88集单集
Manage episode 450032746 series 2744974
Gwern is a pseudonymous researcher and writer. He was one of the first people to see LLM scaling coming. If you've read his blog, you know he's one of the most interesting polymathic thinkers alive.
In order to protect Gwern's anonymity, I proposed interviewing him in person, and having my friend Chris Painter voice over his words after. This amused him enough that he agreed.
After the episode, I convinced Gwern to create a donation page where people can help sustain what he's up to. Please go here to contribute.
Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Read the full transcript here. Follow me on Twitter for updates on future episodes.
Sponsors:
* Jane Street is looking to hire their next generation of leaders. Their deep learning team is looking for ML researchers, FPGA programmers, and CUDA programmers. Summer internships are open - if you want to stand out, take a crack at their new Kaggle competition. To learn more, go here: https://jane-st.co/dwarkesh
* Turing provides complete post-training services for leading AI labs like OpenAI, Anthropic, Meta, and Gemini. They specialize in model evaluation, SFT, RLHF, and DPO to enhance models’ reasoning, coding, and multimodal capabilities. Learn more at turing.com/dwarkesh.
* This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue.
If you’re interested in advertising on the podcast, check out this page.
Timestamps
00:00:00 - Anonymity
00:01:09 - Automating Steve Jobs
00:04:38 - Isaac Newton's theory of progress
00:06:36 - Grand theory of intelligence
00:10:39 - Seeing scaling early
00:21:04 - AGI Timelines
00:22:54 - What to do in remaining 3 years until AGI
00:26:29 - Influencing the shoggoth with writing
00:30:50 - Human vs artificial intelligence
00:33:52 - Rabbit holes
00:38:48 - Hearing impairment
00:43:00 - Wikipedia editing
00:47:43 - Gwern.net
00:50:20 - Counterfactual careers
00:54:30 - Borges & literature
01:01:32 - Gwern's intelligence and process
01:11:03 - A day in the life of Gwern
01:17:50 - Gwern's finances
01:25:05 - The diversity of AI minds
01:27:24 - GLP drugs and obesity
01:31:08 - Drug experimentation
01:33:40 - Parasocial relationships
01:35:23 - Open rabbit holes
Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe
88集单集
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