The Peterman Pod

Ryan Peterman
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Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram

  1. 2 dni temu

    Creator of Scala: Comparing Languages And How AI Will Impact Them | Martin Odersky

    Martin Odersky is the creator of Scala and I interviewed him to compare different languages designs (Rust vs Zig vs Python vs Scala) and how AI will impact programming languages. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/LdN4sPWM-WY • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/creator-of-scala-comparing-languages?r=n49ky Thank you to this episode's sponsors for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ • Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at https://jira.dev/ Timestamps: (00:00) Intro (00:44) Why care about functional programming (06:35) Why should people learn Scala (09:26) Rust vs Scala (12:42) Rust vs Zig (15:45) Scala vs Python (18:31) The programming languages that influenced him (22:16) How running on the JVM works (26:33) Why writing a compiler is hard (29:19) Why Twitter adopted Scala early on (31:00) How he believes AI will impact programming languages (43:40) Will there be less engineers in ten years (44:34) Top programming languages to learn to grow (46:18) Top technical book recommendation (46:51) Why he chose academia instead of industry (48:28) Reflecting on Scala (55:42) Advice for his younger self (56:33) Outro Where to find Martin: • Wikipedia: https://en.wikipedia.org/wiki/Martin_Odersky • Website: https://people.epfl.ch/martin.odersky • X/Twitter: https://x.com/odersky • GitHub: https://github.com/odersky Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Structure and Interpretation of Computer Programs: https://web.mit.edu/6.001/6.037/sicp.pdf • A Brief, Incomplete, and Mostly Wrong History of Programming Languages (book): http://james-iry.blogspot.com/2009/05/brief-incomplete-and-mostly-wrong.html

    Creator of Scala: Comparing Languages And How AI Will Impact Them | Martin Odersky

  2. 24 sie

    Sergey Levine: Current State of Humanoid Robotics, China & Future Predictions

    Sergey Levine is one of the world's top robotics researchers and co-founder of Physical Intelligence. We talked about where humanoid robotics is today, thoughts on the Chinese robotics ecosystem, and his predictions for future timelines. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/9OSbaPjv0Rc • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/sergey-levine-current-state-of-humanoid?r=n49ky Thank you to this episode's sponsor for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:37) Where are we today (04:20) Most surprising capabilities so far (07:03) The most inspiring real world robotics (08:36) If OpenAI or Anthropic got into robotics (10:22) Chinese robotics (13:15) Will one lab breakout from the rest (16:59) Thoughts on a concrete roadmap (21:03) Generalization and demonstrating it (26:04) Types of data and which is best for robotics (34:34) Why humanoid robotics differs from Waymo (37:10) If humanoid robotics failed here is why (39:55) Are there hot take modeling architectures in robotics (42:05) Thoughts on AI safety in robotics (46:44) Top robotics research paper recommendation (49:35) Why is Boston Dynamics less top of mind (53:47) Advice for his younger self (56:42) Outro Where to find Sergey: • Google Scholar: https://scholar.google.com/citations?user=8R35rCwAAAAJ&hl=en • Website: https://people.eecs.berkeley.edu/~svlevine/ • Wikipedia: https://en.wikipedia.org/wiki/Sergey_Levine • X/Twitter: https://x.com/svlevine?lang=en • LinkedIn: https://www.linkedin.com/in/sergey-levine-5a31a24/ Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware (ALOHA / ACT paper): https://arxiv.org/abs/2304.13705 • Emergence of Human to Robot Transfer in Vision-Language-Action Models: https://arxiv.org/abs/2512.22414 • Summary of human to robot paper: https://www.pi.website/research/human_to_robot

    Sergey Levine: Current State of Humanoid Robotics, China & Future Predictions

  3. 17 sie

    Creator of TypeScript: 10x Faster Typescript, Why AI Won't Replace SWEs | Anders Hejlsberg

    Anders Hejlsberg is the creator of TypeScript and C#, and I asked him about how the TypeScript compiler got 10x faster through a rewrite in Go and his thoughts on how AI has impacted software engineering. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://www.youtube.com/watch?v=cywK3XYYJ2o • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/creator-of-typescript-10x-faster Thank you to this episode's sponsors for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ • Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at https://jira.dev/ Timestamps: (00:00) Intro (00:48) Why write a compiler in JavaScript (07:29) Why rewrite the compiler in Go (14:49) LLMs for large migrations (20:12) Why Javascript is so popular (26:32) Why ever use Javascript on the backend (32:59) What it takes to build a programming language (37:06) Will there be fewer languages in 10 years (42:57) Hands on engineering vs delegation (49:14) Why fast tooling matters more now (51:16) AI software engineering predictions (58:52) The most technically challenging work (01:02:04) Top book recommendation (01:03:50) Advice for his younger self (01:05:00) Outro Where to find Anders: • GitHub: https://github.com/ahejlsberg • X/Twitter: https://x.com/ahejlsberg • Wikipedia: https://en.wikipedia.org/wiki/Anders_Hejlsberg • LinkedIn: https://www.linkedin.com/in/ahejlsberg/ Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Flow type checker repository: https://github.com/facebook/flow • TypeScript compiler repository: https://github.com/microsoft/TypeScript • Algorithms + Data Structures = Programs (book): https://en.wikipedia.org/wiki/Algorithms_%2B_Data_Structures_%3D_Programs • TypeScript native rewrite: https://devblogs.microsoft.com/typescript/announcing-typescript-7-0/

    Creator of TypeScript: 10x Faster Typescript, Why AI Won't Replace SWEs | Anders Hejlsberg

  4. 10 sie

    Creator of Lean: Handwritten Math Will Change Dramatically | Leonardo de Moura

    Leonardo de Moura is the creator of Lean and the Z3 theorem prover. I talked with him about how Lean works and why LLMs plus Lean will fundamentally change how we write software and do math. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/KzdYKeAqWhY • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/creator-of-lean-the-end-of-handwritten Thank you to this episode's sponsor for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:28) How formal verification works (05:21) A new way of writing software (13:15) Proof assistants vs programming languages (21:06) How Lean has assisted in mathematical breakthroughs (32:03) When is it worth formalizing software (33:29) How Lean will impact handwritten math (38:55) The Z3 theorem prover project he started (45:44) The most technically challenging work of his career (51:10) Lean vs its competitors (01:00:37) The future of Lean (01:04:10) Technical book recommendations (01:06:15) Advice for his younger self (01:07:10) Outro Where to find Leonardo: • Wikipedia: https://en.wikipedia.org/wiki/Leonardo_de_Moura • Website: https://leodemoura.github.io/ • GitHub: https://github.com/leodemoura • LinkedIn: https://www.linkedin.com/in/leonardo-de-moura-26a27b5/ • X/Twitter: https://x.com/Leonard41111588 Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Lean 4: https://github.com/leanprover/lean4 • Mathlib: Lean Mathematical Library: https://github.com/leanprover-community/mathlib4 • Lean4Lean: https://github.com/digama0/lean4lean • Liquid Tensor Experiment: https://xenaproject.wordpress.com/2020/12/05/liquid-tensor-experiment/ • Veil protocol verification language: https://veil.dev/ • Z3 theorem prover: https://github.com/Z3Prover/z3 • seL4 formally verified microkernel: https://github.com/seL4/seL4

    Creator of Lean: Handwritten Math Will Change Dramatically | Leonardo de Moura

  5. 3 sie

    Creator of Lua: Scripting, Programming Languages, Predictions | Roberto Ierusalimschy

    Roberto Ierusalimschy is the creator of the Lua programming language. I interviewed him about Lua's unique strengths, programming language design and predictions for how AI will impact programming languages. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/jCZnFKk6M9A • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/creator-of-lua-scripting-programming Thank you to this episode's sponsor for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:43) What sets Lua apart (08:35) Comparing Lua with Python (13:04) Top book recommendation on language design (14:20) How JIT works and why it is hard (23:21) Compiling Python and interpreting C (30:31) How cross language calls work (36:58) Lua unique design decisions (51:17) Predictions for AIs impact on languages (01:00:10) Top 3 languages to learn to become a better engineer (01:03:21) Advice for his younger self (01:04:19) Outro Where to find Roberto: • Website: https://www.inf.puc-rio.br/~roberto/ • Wikipedia: https://en.wikipedia.org/wiki/Roberto_Ierusalimschy Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • The Evolution of Lua: https://www.lua.org/doc/hopl.pdf • LuaJIT: https://luajit.org/ • How much does it cost: https://www.youtube.com/watch?v=EUvgoxBm7uc • JavaScript: The Good Parts (not an affiliate link): https://www.amazon.com/dp/0596517742

    Creator of Lua: Scripting, Programming Languages, Predictions | Roberto Ierusalimschy

  6. 27 lip

    Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl

    Judea Pearl is a Turing Award winner and a pioneer in artificial intelligence and causal reasoning. We talked about how he got into science, his major breakthroughs and his predictions for AI today. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/FleTXB1fAcQ • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/turing-award-winner-early-ai-llm Thank you to this episode's sponsor for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:54) How he got into AI (11:17) Greatest scientist of all time (20:15) What people thought of AI in the 80s (26:23) Entering academia and researching AI (34:52) The invention of Bayesian networks (46:28) Pioneering work in causality (55:38) The causal hierarchy (59:34) LLMs and predictions (01:20:12) A restless mind pays (01:24:36) Advice for his younger self (01:26:37) Outro Where to find Judea: • X/Twitter: https://twitter.com/yudapearl • Website: https://bayes.cs.ucla.edu/jp_home.html • Wikipedia: https://en.wikipedia.org/wiki/Judea_Pearl Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • The Book of Why: https://en.wikipedia.org/wiki/The_Book_of_Why • Bayesian networks: https://en.wikipedia.org/wiki/Bayesian_network • Alpha-beta pruning: https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning • Pearl vortex: https://en.wikipedia.org/wiki/Pearl_vortex • Graphoid: https://en.wikipedia.org/wiki/Graphoid • Causality: Models, Reasoning, and Inference: https://en.wikipedia.org/wiki/Causality_(book) • Coexistence and Other Fighting Words: Selected Writings of Judea Pearl, 2002–2025: https://bayes.cs.ucla.edu/COEXISTENCE/

    Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl

  7. 20 lip

    Creator of OCaml: Functional Programming, Formal Verification, Programming Languages | Xavier Leroy

    Xavier Leroy (creator of OCaml) is an expert in compilers, formal verification of software and functional programming. This interview should be an approachable resource if you're curious about formal verification of software since I was learning that on the fly during it. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/9Cswiqrq6So • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/creator-of-ocaml-functional-programming Thank you to this episode's sponsor for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:43) What sets OCaml apart (04:39) OCaml vs Rust (07:57) Why is manual memory management more performant (11:21) Javascript vs OCaml (14:00) Famous Rob Pike quote (16:05) Type inference and how it works (22:12) What is formal verification and how does it work (40:07) What made multicore support difficult for OCaml (50:17) How programming languages interface and call each other (57:41) The danger of almost-correct LLM code (01:05:39) How LLMs will change programming languages (01:10:26) Industry vs academia (01:15:05) Most interesting unsolved problems (01:18:30) Top book recommendations for engineers (01:21:17) Advice for his younger self (01:23:31) Outro Where to find Xavier: • Wikipedia: https://en.wikipedia.org/wiki/Xavier_Leroy • Website: https://xavierleroy.org/ Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • CompCert verified C compiler: https://compcert.org/ • seL4 microkernel: https://sel4.systems/ • Programming Pearls (book, not an affiliate link): https://www.amazon.com/dp/0201657880 • How to Design Programs (book): https://htdp.org/

    Creator of OCaml: Functional Programming, Formal Verification, Programming Languages | Xavier Leroy

  8. 13 lip

    Turing Award Winner: TPU vs GPU vs CPU, Computer Architecture, RISC vs CISC | David Patterson

    David Patterson is a Turing Award winner famous for his contributions to computer architecture. I interviewed him about his past work, thoughts on GPU/TPUs and career advice from half a century of experience. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/Pn4ZwlEh5nw • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/turing-award-winner-tpu-vs-gpu-vs?r=n49ky Timestamps: (00:00) Intro (00:42) RISC vs CISC (12:51) Compilers (17:38) GPUs (23:07) GPU vs TPU vs CPU (32:12) Is Moores law dead? (38:04) GPU benchmarks (41:40) How to have a bad career (49:59) Courage and optimism (55:56) Advice for his younger self (58:15) Outro Where to find David: • Wikipedia: https://en.wikipedia.org/wiki/David_Patterson_(computer_scientist) Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • AlexNet paper: https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf • David Patterson's “How to Have a Bad Career” talk: https://www.youtube.com/watch?v=Rn1w4MRHIhc • “Life Lessons from the First Half-Century of My Career”: https://cacm.acm.org/opinion/life-lessons-from-the-first-half-century-of-my-career/ • The 7 Habits of Highly Effective People (book): https://en.wikipedia.org/wiki/The_7_Habits_of_Highly_Effective_People • Working (book): https://en.wikipedia.org/wiki/Working_(Terkel_book)

    Turing Award Winner: TPU vs GPU vs CPU, Computer Architecture, RISC vs CISC | David Patterson
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O programie

Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram

Informacje

  • Twórca
    Ryan Peterman
  • Lata aktywności
    2024 - 2026
  • Odcinki
    65
  • Klasyfikacja
    Dla wszystkich
  • Prawa autorskie
    © Ryan Peterman
  • Witryna programu
    The Peterman Pod