The Peterman Pod

Ryan Peterman

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

  1. Google DeepMind Pre-Training Lead: How To Land a Job at a Frontier Lab | Vlad Feinberg

    7 uur geleden

    Google DeepMind Pre-Training Lead: How To Land a Job at a Frontier Lab | Vlad Feinberg

    Vlad 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-done Podcast 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-lead 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 (00:33) 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) Outro Where 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/@ryanlpeterman Referenced 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

    1 u 4 m
  2. Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones

    8 jun

    Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones

    Simon 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-functional 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 (00:39) 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 self Where 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/@ryanlpeterman Referenced 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

    1 u 28 m
  3. Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson

    1 jun

    Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson

    Avi 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-zero 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 (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) Outro Where to find Avi: • Wikipedia: https://en.wikipedia.org/wiki/Avi_Wigderson • Personal Website: https://www.math.ias.edu/avi/home 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: • 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

    2u 16m
  4. Dropbox’s Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling

    25 mei

    Dropbox’s Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling

    James 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-building 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: 00:00:00 Intro 00:00:53 Systems work during his PhD 00:13:05 Dropbox technical deep dive 00:21:57 Why Dropbox migrated from AWS 00:36:40 How to do massive migrations 00:44:31 Simplicity vs complexity in promos 00:49:23 What technical teams should be focused on 01:00:25 Doing the right thing vs promo hypothetical 01:08:13 Why he dipped into management sometimes 01:11:36 Why you should not lead by example 01:23:23 How to mentor Senior Staff engineers 01:27:30 Career advice for the AI era 01:37:21 Why he started his own company 01:46:05 The most technically challenging work of his career 01:48:10 How he got involved in Silicon Valley 01:52:16 Career regrets 01:55:54 Top technical book recommendation 01:56:36 Younger self and permanent underclass advice Where 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/@ryanlpeterman Referenced 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

    2u 2m
  5. Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

    18 mei

    Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

    Bjarne 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-overhead 𝗧𝗵𝗮𝗻𝗸 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 - Intro 0:50 - The origin of C++ 8:46 - What Bell Labs was like 17:24 - Dennis Ritchie 24:00 - When to build a programming language 31:59 - Bootstrapping a language 33:58 - C++ is not object-oriented 37:32 - Discussing type systems 46:20 - Memory safety 49:26 - Standards committee anecdotes 1:09:40 - Adding automatic garbage collection to C++ 1:18:25 - Template instantiation is Turing complete 1:21:57 - Abstraction and performance 1:28:51 - AI writing code 1:35:54 - His motivation 1:39:18 - Famous quotes 1:46:48 - Reflecting on building C++ 1:49:12 - Top C++ book recommendation 1:50:59 - Advice for his younger self 1:58:06 - Outro 𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 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

    1 u 59 m
  6. Harvard Professor: CS50, What Matters More Than CS, Lecturing Well | David J Malan

    11 mei

    Harvard Professor: CS50, What Matters More Than CS, Lecturing Well | David J Malan

    David 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-matters 𝗧𝗵𝗮𝗻𝗸 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 - Intro 1:09 - Getting into computer science 3:27 - Becoming the professor of CS50 11:19 - How to lecture well 14:25 - Depth vs engagement in education 18:11 - Why don't we consolidate educational resources 23:20 - Why start with C 31:51 - The ideal use of AI in education 34:54 - Cheating and AI 38:21 - Should we really learn CS still? 45:24 - College vs online education 47:06 - The most difficult concept to learn 51:00 - Growth vs fixed mindset 52:35 - The future of CS50 55:56 - Biggest career regret 1:00:29 - Top book recommendations 1:02:36 - Advice for his younger self 1:03:35 - Outro 𝗪𝗵𝗲𝗿𝗲 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/@davidjmalan 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: • 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

    1 u 4 m
  7. PyTorch Eng Director: Promo Hacking, Industry Shifts, Regrets | John Myles White

    4 mei

    PyTorch Eng Director: Promo Hacking, Industry Shifts, Regrets | John Myles White

    John 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-industry 𝗕𝗿𝗼𝘂𝗴𝗵𝘁 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 - Intro 0:54 - Is he bullish on MSL 5:23 - Running promotions at Meta 15:15 - Growing at Meta 22:22 - Julia core language contributor 29:24 - Academics failing into industry 31:48 - Stats book recommendations 38:02 - Biggest career regret 41:05 - Advice for his younger self 42:46 - Outro 𝗪𝗵𝗲𝗿𝗲 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/johnmyleswhite 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: • 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

    44 min.
  8. Turing Award Winner: Data Abstraction, Dijkstra, Distributed Systems | Barbara Liskov

    27 apr

    Turing Award Winner: Data Abstraction, Dijkstra, Distributed Systems | Barbara Liskov

    Barbara Liskov is a Turing Award winner known for her work in programming languages and distributed systems. We discussed the major problems she solved in her career, stories about Dijkstra, getting rejected from Princeton because she was a woman and misc topics around her work. 🔸 My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀: • YouTube: https://youtu.be/T9CGjbPZeaM • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/turing-award-winner-data-abstraction 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗹𝗶𝗻𝗸𝘀: • Go To Statement Considered Harmful: https://homepages.cwi.nl/~storm/teaching/reader/Dijkstra68.pdf • Viewstamped Replication: https://www.cs.princeton.edu/courses/archive/fall09/cos518/papers/viewstamped.pdf 𝗧𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀: 0:00 - Intro 1:00 - Getting rejected from Princeton 2:53 - The software crisis 9:03 - The drawbacks of Python 10:17 - Getting into distributed computing 13:09 - Paxos vs Viewstamped replication 21:44 - The significance of Dijkstras letter 25:04 - Why she stayed in academia 30:39 - Why her award was questioned 33:51 - Outro 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗕𝗮𝗿𝗯𝗮𝗿𝗮: • Wikipedia: https://en.wikipedia.org/wiki/Barbara_Liskov 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

    35 min.
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Info

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

Informatie

  • Maker
    Ryan Peterman
  • Jaren actief
    2024 - 2026
  • Afleveringen
    54
  • Beoordeling
    Veilig
  • Copyright
    © Ryan Peterman
  • Website van aflevering
    The Peterman Pod

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