Find me on sinahab.com and x.com/sinahab
Into the Bytecode
Claim This Podcastby Sina Habibian
4.9(53 reviews)
65 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
64
Podcast Authority
BetaGoodBased on show quality, social media presence, reviews, charts, and more
Quality88
Social0
YouTube0
Engagement97
Podcast Overview
Find me on sinahab.com and x.com/sinahab
Language
🇺🇲
Publishing Since
9/10/2021
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64
Podcast Authority
BetaGoodBased on show quality, social media presence, reviews, charts, and more
Quality88
Social0
YouTube0
Engagement97
10
Excellent Areas
0
Good Performance
9
Growth Opportunities
excellent
Episode Length
1h 27m
Performing excellently!
needs improvement
Publishing Consistency
Every 25 days
Recommendations available
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Recent Episodes
March 27, 2025
#52 – Michael Nielsen on being a wise optimist about science and technology
<p>This is my conversation with Michael Nielsen, scientist, author, and research fellow at the Astera Institute.</p><p>Timestamps:<br>- (00:00:00) intro<br>- (00:01:06) cultivating optimism amid existential risks<br>- (00:07:16) asymmetric leverage<br>- (00:12:09) are "unbiased" models even feasible?<br>- (00:18:44) AI and the scientific method<br>- (00:23:23) unlocking AI's full power through better interfaces<br>- (00:30:33) sponsor: Splits<br>- (00:31:18) AIs, independent agents or intelligent tools?<br>- (00:35:47) autonomous military and weapons<br>- (00:42:14) finding alignment<br>- (00:48:28) aiming for specific moral outcomes with AI?<br>- (00:54:42) freedom/progress vs safety<br>- (00:57:46) provable beneficiary surveillance<br>- (01:04:16) psychological costs<br>- (01:12:40) the ingenuity gap</p><p>Links:<br>- Michael Nielsen: https://michaelnielsen.org/<br>- Michael Nielsen on X: https://x.com/michael_nielsen<br>- Michael's essay on being a wise optimist about science and technology: https://michaelnotebook.com/optimism/<br>- Michael's Blog: https://michaelnotebook.com/<br>- The Ingenuity Gap (Tad Homer-Dixon): https://homerdixon.com/books/the-ingenuity-gap/</p><p>Thank you to our sponsor for making this podcast possible:<br>- Splits: https://splits.org</p><p>Into the Bytecode:<br>- Sina Habibian on X: https://twitter.com/sinahab<br>- Sina Habibian on Farcaster: https://warpcast.com/sinahab<br>- Into the Bytecode: https://intothebytecode.com</p><p>Disclaimer: This podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.</p>
March 18, 2025
#51 – Jeffrey Quesnelle on Nous Research, large language models, and the human mind
<p>This is my conversation with Jeffrey Quesnelle, cofounder of Nous Research.</p><p>Timestamps:<br>- (00:00:00) intro<br>- (00:01:08) working with new technologies<br>- (00:06:15) Nous Research origin story<br>- (00:14:08) open frontiers in research<br>- (00:26:07) fourier transforms for gradient compression<br>- (00:32:58) math behind distributed training<br>- (00:38:18) sponsor: Splits<br>- (00:39:02) neural networks history and fundamentals<br>- (00:51:29) the human mind and AI, hyperdimensional representation<br>- (01:01:15) intuition and reasoning<br>- (01:15:00) parallels with reinforcement learning<br>- (01:19:15) the cat is out of the bag<br>- (01:47:11) deeper mysteries</p><p>Links:<br>- Jeffrey Quesnelle: https://jeffq.com/<br>- Jeffrey Quesnelle on X: https://x.com/theemozilla<br>- Nous Research: https://nousresearch.com/<br>- Psyche: https://nousresearch.com/nous-psyche/</p><p>Thank you to our sponsor for making this podcast possible:<br>- Splits: https://splits.org</p><p>Into the Bytecode:<br>- Sina Habibian on X: https://twitter.com/sinahab<br>- Sina Habibian on Farcaster: https://warpcast.com/sinahab<br>- Into the Bytecode: https://intothebytecode.com</p><p>Disclaimer:<br>This podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.</p>
February 25, 2025
#50 – Alexander Long on Pluralis Research and protocol learning for frontier models
<p>This is my conversation with Alexander Long, Founder & CEO of Pluralis Research.</p><p>Timestamps:<br>- (00:00:00) intro<br>- (00:00:55) collaborative training<br>- (00:09:49) economics of training<br>- (00:13:10) what is protocol learning? <br>- (00:20:48) protocol learning design and politics<br>- (00:33:39) sponsor: Splits<br>- (00:34:22) hardware requirements<br>- (00:41:53) adapting to the landscape<br>- (00:49:53) open and closed models<br>- (00:52:52) market structure with fully open models<br>- (00:56:34) research and risks<br>- (01:02:19) labor and national security<br>- (01:10:58) looking to the future<br>- (01:14:20) outro</p><p>Links:<br>- Alexander on X: <a href="https://x.com/_alexanderlong">https://x.com/_alexanderlong</a><br>- Alexander on Github: <a href="https://github.com/AlexanderJLong">https://github.com/AlexanderJLong</a><br>- Article 2: Protocol Learning, Protocol Models and the Great Convergence: <a href="https://www.pluralisresearch.com/p/article-2-protocol-learning-protocol">https://www.pluralisresearch.com/p/article-2-protocol-learning-protocol</a><br>- Decentralized Training Looms: <a href="https://www.pluralisresearch.com/p/decentralized-ai-looms">https://www.pluralisresearch.com/p/decentralized-ai-looms</a></p><p>Thank you to our sponsor for making this podcast possible:<br>- Splits: <a href="https://splits.org">https://splits.org</a></p><p>Into the Bytecode:<br>- Sina Habibian on X: https://twitter.com/sinahab<br>- Sina Habibian on Farcaster - <a href="https://warpcast.com/sinahab">https://warpcast.com/sinahab</a><br>- Into the Bytecode: <a href="https://intothebytecode.com">https://intothebytecode.com</a></p><p>Disclaimer: this podcast is for informational purposes only. It is not financial advice nor a recommendation to buy or sell securities. The host and guests may hold positions in the projects discussed.</p>
65 total episodes available with 19 transcripts
Deep-dive analytics for Into the Bytecode
Frequently asked questions
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- What is Into the Bytecode?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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