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Into the Bytecode

Podcast Into the Bytecode
Sina Habibian
Into the Bytecode is a podcast about building the future. Check out these links for more: - Twitter: twitter.com/sinahab - Website: intothebytecode.com - ...

Available Episodes

5 of 52
  • #52 – Michael Nielsen on being a wise optimist about science and technology
    This is my conversation with Michael Nielsen, scientist, author, and research fellow at the Astera Institute.Timestamps:- (00:00:00) intro- (00:01:06) cultivating optimism amid existential risks- (00:07:16) asymmetric leverage- (00:12:09) are "unbiased" models even feasible?- (00:18:44) AI and the scientific method- (00:23:23) unlocking AI's full power through better interfaces- (00:30:33) sponsor: Splits- (00:31:18) AIs, independent agents or intelligent tools?- (00:35:47) autonomous military and weapons- (00:42:14) finding alignment- (00:48:28) aiming for specific moral outcomes with AI?- (00:54:42) freedom/progress vs safety- (00:57:46) provable beneficiary surveillance- (01:04:16) psychological costs- (01:12:40) the ingenuity gapLinks:- Michael Nielsen: https://michaelnielsen.org/- Michael Nielsen on X: https://x.com/michael_nielsen- Michael's essay on being a wise optimist about science and technology: https://michaelnotebook.com/optimism/- Michael's Blog: https://michaelnotebook.com/- The Ingenuity Gap (Tad Homer-Dixon): https://homerdixon.com/books/the-ingenuity-gap/Thank you to our sponsor for making this podcast possible:- Splits: https://splits.orgInto the Bytecode:- Sina Habibian on X: https://twitter.com/sinahab- Sina Habibian on Farcaster: https://warpcast.com/sinahab- Into the Bytecode: https://intothebytecode.comDisclaimer: 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.
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  • #51 – Jeffrey Quesnelle on Nous Research, large language models, and the human mind
    This is my conversation with Jeffrey Quesnelle, cofounder of Nous Research.Timestamps:- (00:00:00) intro- (00:01:08) working with new technologies- (00:06:15) Nous Research origin story- (00:14:08) open frontiers in research- (00:26:07) fourier transforms for gradient compression- (00:32:58) math behind distributed training- (00:38:18) sponsor: Splits- (00:39:02) neural networks history and fundamentals- (00:51:29) the human mind and AI, hyperdimensional representation- (01:01:15) intuition and reasoning- (01:15:00) parallels with reinforcement learning- (01:19:15) the cat is out of the bag- (01:47:11) deeper mysteriesLinks:- Jeffrey Quesnelle: https://jeffq.com/- Jeffrey Quesnelle on X: https://x.com/theemozilla- Nous Research: https://nousresearch.com/- Psyche: https://nousresearch.com/nous-psyche/Thank you to our sponsor for making this podcast possible:- Splits: https://splits.orgInto the Bytecode:- Sina Habibian on X: https://twitter.com/sinahab- Sina Habibian on Farcaster: https://warpcast.com/sinahab- Into the Bytecode: https://intothebytecode.comDisclaimer: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.
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  • #50 – Alexander Long on Pluralis Research and protocol learning for frontier models
    This is my conversation with Alexander Long, Founder & CEO of Pluralis Research.Timestamps:- (00:00:00) intro- (00:00:55) collaborative training- (00:09:49) economics of training- (00:13:10) what is protocol learning? - (00:20:48) protocol learning design and politics- (00:33:39) sponsor: Splits- (00:34:22) hardware requirements- (00:41:53) adapting to the landscape- (00:49:53) open and closed models- (00:52:52) market structure with fully open models- (00:56:34) research and risks- (01:02:19) labor and national security- (01:10:58) looking to the future- (01:14:20) outroLinks:- Alexander on X: https://x.com/_alexanderlong- Alexander on Github: https://github.com/AlexanderJLong- Article 2: Protocol Learning, Protocol Models and the Great Convergence: https://www.pluralisresearch.com/p/article-2-protocol-learning-protocol- Decentralized Training Looms: https://www.pluralisresearch.com/p/decentralized-ai-loomsThank you to our sponsor for making this podcast possible:- Splits: https://splits.orgInto the Bytecode:- Sina Habibian on X: https://twitter.com/sinahab- Sina Habibian on Farcaster - https://warpcast.com/sinahab- Into the Bytecode: https://intothebytecode.comDisclaimer: 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.
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  • #49 – Jim Posen on cryptographic acceleration with Binius
    This is my conversation with Jim Posen, the Cofounder and CTO at Irreducible.Timestamps:- (00:00:00) intro- (00:01:12) getting deeper into cryptography- (00:07:06) revisiting binary fields- (00:15:50) building the verifiable internet- (00:26:14) sponsor: Splits- (00:26:57) revival of binary fields- (00:38:55) Binius- (00:42:46) bringing Binius to production- (00:48:27) creating new hardware- (00:53:57) getting to v1- (01:02:03) Ethereum stateless proofs and zkVMs- (01:13:21) outroLinks:- Jim on X: https://x.com/jimpo_potamus- Jim on Github: https://github.com/jimpo- Irreducible: https://www.irreducible.com/- Binius: a Hardware-Optimized SNARK: https://www.irreducible.com/posts/binius-hardware-optimized-snark- Binary Tower Fields are the Future of Verifiable Computing: https://www.irreducible.com/posts/binary-tower-fields-are-the-future-of-verifiable-computingThank you to our sponsor for making this podcast possible:- Splits: https://splits.orgInto the Bytecode:- Sina Habibian on X: https://twitter.com/sinahab- Sina Habibian on Farcaster - https://warpcast.com/sinahab- Into the Bytecode: https://intothebytecode.comDisclaimer: 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.
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  • #48 – Michael Bentley on Euler, credit, and natural selection
    This is my conversation with Michael Bentley, the cofounder and CEO of Euler and previously a dynamical systems postdoctoral research associate at Oxford.Timestamps:- (00:00:00) intro- (00:01:11) early DeFi and experiencing the 2008 crash- (00:06:52) interest rate design and PIDs- (00:20:40) risk management- (00:28:27) sponsor: Splits- (00:29:10) macro view of the world- (00:32:27) the fundamental importance of credit- (00:35:47) Euler protocol design- (00:39:08) modularity and integration- (00:54:40) network topology- (01:10:55) natural selection and dynamical systems- (01:26:33) outroLinks:- Michael on X: https://x.com/euler_mab- Michael on Medium: https://medium.com/@euler-mab- Michael Bentley on the evolution of lending protocols: https://youtu.be/TW9Tv2Y0fkw- Euler: https://www.euler.financeThank you to our sponsor for making this podcast possible:- Splits: https://splits.orgInto the Bytecode:- Sina Habibian on X: https://twitter.com/sinahab- Sina Habibian on Farcaster - https://warpcast.com/sinahab- Into the Bytecode: https://intothebytecode.com 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.
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About Into the Bytecode

Into the Bytecode is a podcast about building the future. Check out these links for more: - Twitter: twitter.com/sinahab - Website: intothebytecode.com - Newsletter for updates: bytecode.substack.com
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