Podcast
The Peterman Pod
Hosted by Ryan Peterman · EN
Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram
20episodes
Episodes
Newest firstAll episodes
Turing Award Winner: NSA, Public Key Cryptography, Crypto Wars | Martin Hellman
2w ago01:01:41Tap to summarizeMartin Hellman is a Turing Award winner who helped to invent public-key cryptography against the NSA's wishes. I interviewed him all about his work and why it broke the law at the time.• 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-donePodcast links:• YouTube: https://youtu.be/AZLOETBCQM4• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/turing-award-winner-nsa-public-keyThank 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(00:34) Why his work broke the law(08:39) How people did encryption before(18:51) The crypto wars(26:22) The story behind Diffie Hellman key exchange(36:48) Signatures vs key exchange(43:05) RSA patent wars(48:08) Why inventions happen at similar times(50:29) What he worked on after cryptography(57:31) His thoughts on death(59:40) Advice for his younger self(01:00:45) OutroWhere to find Martin:• Wikipedia: https://en.wikipedia.org/wiki/Martin_Hellman• Website: https://ee.stanford.edu/~hellman/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/@ryanlpetermanReferenced in this episode:• Martin Hellman's “The Evolution of Public Key Cryptography”: https://www.youtube.com/watch?v=Tev3tVzH91s• Keys Under Doormats: https://cacm.acm.org/opinion/keys-under-doormats/• Cryptography's Role in Securing the Information Society (CRISIS report): https://nap.nationalacademies.org/catalog/5131/cryptographys-role-in-securing-the-information-society• Secure Communications Over Insecure Channels: https://doi.org/10.1145/359460.359473• New Directions in Cryptography: https://doi.org/10.1109/TIT.1976.1055638
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MIT Complexity Theorist: Why You Can Do Better Than “Optimal” On Leetcode & SAT | Ryan Williams
3w ago01:12:52Tap to summarizeRyan Williams is a professor at MIT and the winner of the Gödel Prize in theoretical computer science. I interviewed him all about his work starting by asking him a popular Leetcode question (3 SUM).Correction: In this podcast I say "lower bound" when I mean "upper bound" and vice versa. Was speaking using the intuition that lower is better for running time. In reality, the accurate usage is:"Lower bound" = A proven floor for a problem e.g. "no algorithm can possibly be faster""Upper bound" = A proven ceiling for a specific solution e.g. "there exists an algorithm this fast"Professor Williams answers as if I spoke accurately so the error didn't impact the flow of conversation. Just a correction for the record• 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-donePodcast links:• YouTube: https://youtu.be/AaK1SL2i_4Y• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/mit-complexity-theorist-on-leetcodeThank 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(00:41) Asking him a popular Leetcode question(03:54) Doing better than the popular optimal solution(08:26) Fine grained complexity(17:00) A severe strengthening of P vs NP(24:38) SAT problems and solvers(34:51) Hot takes on famous open questions(46:57) Simulating space with time(01:01:02) Why he solves hard problems(01:02:35) How to pick good research direction(01:07:14) Technical book recommendations(01:08:31) Advice for his younger self(01:11:56) OutroWhere to find Ryan:• Wikipedia: https://en.wikipedia.org/wiki/Ryan_Williams_(computer_scientist)• Website: https://people.csail.mit.edu/rrw/• LinkedIn: https://www.linkedin.com/in/r-ryan-williams-a1b534a/• X/Twitter: https://twitter.com/rrwilliamsWhere 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/@ryanlpetermanReferenced in this episode:• Some Estimated Likelihoods for Computational Complexity: https://people.csail.mit.edu/rrw/likelihoods.pdf• Simulating Time with Square-Root Space: https://arxiv.org/abs/2502.17779• Cook and Mertz's tree evaluation paper: https://dl.acm.org/doi/10.1145/3618260.3649664
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OpenAI Eng & Dev Tools Founder: How Software Engineering Is Changing | Charlie Marsh
4w ago01:22:56Tap to summarizeCharlie Marsh is the founder of Astral, the Python devtool startup that was acquired by OpenAI. I inteviewed him about how software engineering is changing and learnings from starting his own company as an engineer.• 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-donePodcast links:• YouTube: https://youtu.be/Iw65FD4MGgs• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/openai-eng-and-dev-tools-founderThank 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(00:40) Origin story(06:04) The front page of Hacker News(14:35) Why he chose Rust(20:10) Full codebase migration from Zig to Rust(28:40) LLM generated code and open source(35:34) Performance optimizations(44:54) Optimization with AI and combating slop(01:02:08) Learnings as an eng starting a company(01:17:55) Top technical talk recommendation(01:18:56) Advice for his younger self(01:22:00) OutroWhere to find Charlie:• LinkedIn: https://www.linkedin.com/in/marshcharles/• GitHub: https://github.com/charliermarsh• X/Twitter: https://x.com/charliermarshWhere 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/@ryanlpetermanReferenced in this episode:• Python tooling could be much, much faster: https://notes.crmarsh.com/python-tooling-could-be-much-much-faster• The coolest PR he's ever seen: https://github.com/astral-sh/uv/pull/789• Andrew Kelley’s data-oriented design talk: https://www.youtube.com/watch?v=IroPQ150F6c• Ruff: https://github.com/astral-sh/ruff• uv: https://github.com/astral-sh/uv• ty: https://github.com/astral-sh/ty• Salsa: https://github.com/salsa-rs/salsa
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Google DeepMind Pre-Training Lead: How To Land a Job at a Frontier Lab | Vlad Feinberg
Jun 1501:04:03Tap to summarizeVlad Feinberg is Google DeepMind’s pre-training area lead and I asked him all about how to land a job at a frontier lab like Google DeepMind, Anthropic or OpenAI.• 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-donePodcast links:• YouTube: https://youtu.be/cDyi91onoJ8• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/google-deepmind-pre-training-leadThank 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(00:33) Skills frontier labs need(08:45) The difference between AI research and engineering(21:41) Domains that matter for the frontier(30:50) Marketing yourself to frontier labs(35:13) Concrete steps engineers can take(38:29) Overview of pre-training areas(47:23) Jeff Dean spot bonus story(50:14) Favorite Gemini war story(58:59) Advice for his younger self(01:03:07) OutroWhere to find Vlad:• Personal Website: https://vladfeinberg.com/• Twitter/X: https://x.com/FeinbergVlad• LinkedIn: https://www.linkedin.com/in/vladimirfeinberg/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/@ryanlpetermanReferenced in this episode:• How to Land a Job at a Frontier Lab: https://vladfeinberg.com/2026/05/10/how-to-land-a-job-at-a-frontier-lab.html• ThunderKittens: https://github.com/HazyResearch/ThunderKittens• Deedy's doomer Tweet: https://x.com/FeinbergVlad/status/2056383124829872466?s=20• Jacob Steinhardt's "Research as a Stochastic Decision Process": https://cs.stanford.edu/~jsteinhardt/ResearchasaStochasticDecisionProcess.html• The Scaling Book: https://jax-ml.github.io/scaling-book/• Dwarkesh and Reiner's video: https://www.youtube.com/watch?v=xmkSf5IS-zw
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Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones
Jun 801:27:52Tap to summarizeSimon Peyton Jones is the co-creator of Haskell (pure functional programming language) and I interviewed him about functional programming, why it matters, and his thoughts on other programming languages.• My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/Podcast links:• YouTube: https://youtu.be/xcB_LF3cdqw• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/co-creator-of-haskell-functionalThank 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(00:39) What functional programming is(09:18) Downsides of functional programming(10:53) Specialized hardware for functional programming(21:47) Haskell is useless(25:59) Rust vs C(28:26) Haskell vs OCaml(35:26) Side effects in Haskell(44:26) Type systems(57:30) How the Haskell compiler works(01:04:35) Why Haskell is talked about more than used(01:09:07) Avoiding success at all costs(01:11:12) LLMs and programming languages(01:13:57) New programming language design(01:15:59) Should students continue to learn programming(01:22:33) Why Excel is his 2nd favorite programming language(01:25:04) Advice for his younger selfWhere to find Simon:• LinkedIn: https://www.linkedin.com/in/simonpj/• Wikipedia: https://en.wikipedia.org/wiki/Simon_Peyton_Jones• Personal Website: https://simon.peytonjones.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/@ryanlpetermanReferenced in this episode:• Haskell is useless: https://www.youtube.com/watch?v=iSmkqocn0oQ• John Backus Turing Award lecture: https://worrydream.com/refs/Backus_1978_-_Can_Programming_Be_Liberated_from_the_von_Neumann_Style.pdf• Why functional programming matters: https://www.cs.kent.ac.uk/people/staff/dat/miranda/whyfp90.pdf• Excel is his 2nd favorite programming language: https://www.youtube.com/watch?v=_M4P5M85KO8
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Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson
Jun 102:15:47Tap to summarizeAvi Wigderson is the only person in history to have won both a Turing Award (computer science) and Abel Prize (math). I interviewed him all about his field.• My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/Podcast links:• YouTube: https://youtu.be/5GUcvSAJcJw• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/turing-award-winner-p-vs-np-zeroThank 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(01:08) P vs NP(14:51) What if you relaxed correctness(25:38) Why NP complete problems are equivalent(30:33) Space vs time complexity(43:06) Why people use SAT solvers(45:53) Randomness is a resource(55:48) Randomness depends on computational power(01:21:20) Zero knowledge proofs and their significance(01:38:30) Quantum computation and why it matters(01:56:24) Math vs computer science(02:08:16) Major breakthroughs and his experience(02:12:31) Advice for his younger self(02:14:48) OutroWhere to find Avi:• Wikipedia: https://en.wikipedia.org/wiki/Avi_Wigderson• Personal Website: https://www.math.ias.edu/avi/homeWhere 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/@ryanlpetermanReferenced in this episode:• PCP Theorem paper: https://www.cs.umd.edu/~gasarch/TOPICS/pcp/AS.pdf• Paper on SAT approximation hardness: https://www.cs.umd.edu/~gasarch/BLOGPAPERS/max3satl.pdf• Turing's paper: https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf• Original paper on NP completeness: https://www.cs.toronto.edu/~sacook/homepage/1971.pdf• Ryan William's breakthrough result on space vs time: https://people.csail.mit.edu/rrw/time-vs-space.pdf• Old result on space vs time: https://www-wjp.cs.uni-saarland.de/publikationen/HPV75.pdf• Paper describing constant space majority solution: https://people.cs.umass.edu/~barring/publications/bwbp.pdf• Fast primality test paper: https://www.sciencedirect.com/science/article/pii/0022314X80900840/pdf?md5=6f748cd82fa8efa1a637efab5f632baa&pid=1-s2.0-0022314X80900840-main.pdf• Deterministic primality test paper: https://www.cse.iitk.ac.in/users/manindra/algebra/primality_v6.pdf• Randomness vs observer paper: https://people.csail.mit.edu/silvio/Selected%20Scientific%20Papers/Pseudo%20Randomness/How_To_Generate_Cryptographically_Strong_Sequences_Of_Pseudo-Random_Bits.pdf• Hardness vs randomness paper: https://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/NOAM/HARDNESS/final.pdf• Erdos original sum vs product paper: https://users.renyi.hu/~p_erdos/1983-18.pdf• Terrence Tao sum vs product paper: https://arxiv.org/pdf/math/0301343• Seminal interactive proof paper: https://www.cs.miami.edu/home/burt/learning/csc609.221/goldwasser-micali-rackoff-knoweldge-complexity.pdf• Zero knowledge proof paper: https://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/GMW86/GMW86.pdf• Shor's algorithm original paper: https://arxiv.org/pdf/quant-ph/9508027• Lattice paper (new hard problems): https://dl.acm.org/doi/epdf/10.1145/258533.258604• MIP* vs RE paper: https://arxiv.org/pdf/2001.04383• Zero knowledge non-interactive proofs: https://eprint.iacr.org/2025/1296.pdf
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Dropbox’s Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling
May 2502:01:53Tap to summarizeJames Cowling is the CTO at Convex and was previously the most senior engineer at Dropbox. We discussed technical details of his past projects, simplicity vs complexity, and career advice given where AI is today.• My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/Podcast links:• YouTube: https://youtu.be/3XkmNSuHFmY• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/dropboxs-former-most-senior-eng-buildingThank 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:00:00:00 Intro00:00:53 Systems work during his PhD00:13:05 Dropbox technical deep dive00:21:57 Why Dropbox migrated from AWS00:36:40 How to do massive migrations00:44:31 Simplicity vs complexity in promos00:49:23 What technical teams should be focused on01:00:25 Doing the right thing vs promo hypothetical01:08:13 Why he dipped into management sometimes01:11:36 Why you should not lead by example01:23:23 How to mentor Senior Staff engineers01:27:30 Career advice for the AI era01:37:21 Why he started his own company01:46:05 The most technically challenging work of his career01:48:10 How he got involved in Silicon Valley01:52:16 Career regrets01:55:54 Top technical book recommendation01:56:36 Younger self and permanent underclass adviceWhere to find James:• LinkedIn: https://www.linkedin.com/in/jcowling/• Twitter/X: https://x.com/jamesacowling• His company: https://www.convex.dev/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/@ryanlpetermanReferenced in this episode:• His PhD Thesis: https://www.usenix.org/system/files/conference/atc12/atc12-final118.pdf• Masters paper: https://www.cs.princeton.edu/courses/archive/fall19/cos418/papers/vr-revisited.pdf• Papercuts writing he mentioned: https://medium.com/@jamesacowling/embracing-papercuts-e6390055dfc4• "Don't lead by example": https://medium.com/@jamesacowling/dont-lead-by-example-4f86b1174e64• His writing about orienting teams around missions: https://medium.com/@jamesacowling/your-system-is-not-a-sports-team-e17f9eb16b94
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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup
May 1801:59:03Tap to summarizeBjarne Stroustrup is the creator of the C++ programming language and a former researcher at Bell Labs. We talked about what Bell Labs was like, programming language design, and interesting anecdotes from his experience.• My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/U46fJ2bJ-co• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/creator-of-c-bell-labs-negative-overhead𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲'𝘀 𝘀𝗽𝗼𝗻𝘀𝗼𝗿𝘀 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗺𝘆 𝘄𝗼𝗿𝗸:• Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/• 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:0:00 - Intro0:50 - The origin of C++8:46 - What Bell Labs was like17:24 - Dennis Ritchie24:00 - When to build a programming language31:59 - Bootstrapping a language33:58 - C++ is not object-oriented37:32 - Discussing type systems46:20 - Memory safety49:26 - Standards committee anecdotes1:09:40 - Adding automatic garbage collection to C++1:18:25 - Template instantiation is Turing complete1:21:57 - Abstraction and performance1:28:51 - AI writing code1:35:54 - His motivation1:39:18 - Famous quotes1:46:48 - Reflecting on building C++1:49:12 - Top C++ book recommendation1:50:59 - Advice for his younger self1:58:06 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗕𝗷𝗮𝗿𝗻𝗲:• Wikipedia: https://en.wikipedia.org/wiki/Bjarne_Stroustrup• Personal Website: https://www.stroustrup.com/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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲:• "A History of C++": https://www.stroustrup.com/hopl2.pdf• "Evolving a language in and for the real world": https://www.stroustrup.com/hopl-almost-final.pdf• "Thriving in a Crowded and Changing World": https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2184r0.pdf• The lecture where he mentioned he lost half his hair: https://youtu.be/69edOm889V4?si=IAZxYNwlUALodEV7&t=474• Quotes I pulled: https://www.stroustrup.com/quotes.html
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Harvard Professor: CS50, What Matters More Than CS, Lecturing Well | David J Malan
May 1101:03:46Tap to summarizeDavid Malan is a Harvard professor known for turning CS50 into a popular online computer science course. We discussed the story behind CS50, how to lecture well, and how AI is changing CS education including in cheating/academic dishonesty.• My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/bB2o81DnKHk• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/harvard-professor-cs50-what-matters𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲'𝘀 𝘀𝗽𝗼𝗻𝘀𝗼𝗿𝘀 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗺𝘆 𝘄𝗼𝗿𝗸:• Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/• 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:0:00 - Intro1:09 - Getting into computer science3:27 - Becoming the professor of CS5011:19 - How to lecture well14:25 - Depth vs engagement in education18:11 - Why don't we consolidate educational resources23:20 - Why start with C31:51 - The ideal use of AI in education34:54 - Cheating and AI38:21 - Should we really learn CS still?45:24 - College vs online education47:06 - The most difficult concept to learn51:00 - Growth vs fixed mindset52:35 - The future of CS5055:56 - Biggest career regret1:00:29 - Top book recommendations1:02:36 - Advice for his younger self1:03:35 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗮𝘃𝗶𝗱:• Personal website: https://cs.harvard.edu/malan/• Facebook: https://www.facebook.com/dmalan• Github: https://github.com/dmalan• Instagram: https://www.instagram.com/davidjmalan/• LinkedIn: https://www.linkedin.com/in/malan/• Reddit: https://www.reddit.com/user/davidjmalan/• X/Twitter: https://x.com/davidjmalan• Threads: https://www.threads.com/@davidjmalan𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲:• His first program for CS50: https://x.com/davidjmalan/status/1432538424590929920• Paper about CS50 improvements: https://cs.harvard.edu/malan/publications/fp310-malan.pdf• Hitchhiker's Guide to the Galaxy: https://en.wikipedia.org/wiki/The_Hitchhiker%27s_Guide_to_the_Galaxy• How Computers Work book (not affiliate link): https://www.amazon.com/How-Computers-Work-Evolution-Technology/dp/078974984X
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PyTorch Eng Director: Promo Hacking, Industry Shifts, Regrets | John Myles White
May 400:43:39Tap to summarizeJohn Myles White recently left his role as a director of engineering at Meta Superintelligence Labs (MSL) so we spoke freely about promo culture, how big tech has changed, and how his career grew.𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/aPfnP4iAIH8• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/msl-eng-director-promo-hacking-industry𝗕𝗿𝗼𝘂𝗴𝗵𝘁 𝘁𝗼 𝘆𝗼𝘂 𝗯𝘆:• Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/• My ergonomic keyboard project, you can follow along here: https://read.compose.llc/ 𝗧𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀:0:00 - Intro0:54 - Is he bullish on MSL5:23 - Running promotions at Meta15:15 - Growing at Meta22:22 - Julia core language contributor29:24 - Academics failing into industry31:48 - Stats book recommendations38:02 - Biggest career regret41:05 - Advice for his younger self42:46 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗝𝗼𝗵𝗻:• LinkedIn: https://www.linkedin.com/in/john-myles-white-115697180/• X/Twitter: https://x.com/johnmyleswhite• Personal Website: https://www.johnmyleswhite.com/• Github: https://github.com/johnmyleswhite𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲:• Evaluating the design of the R language - https://www.researchgate.net/publication/240040602_Evaluating_the_Design_of_the_R_Language• Stats book he mentioned (not affiliate link) - https://www.amazon.com/Foundations-Agnostic-Statistics-Peter-Aronow/dp/1316631141• Stats book he mentioned (not affiliate link) - https://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/0387402721
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