Meta Tech Podcast

Meta Tech Podcast

By MetaTechnology
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Meta Tech Podcast episodes

  • 59: Meta ❤️ Python 3.12

    For the second time in just a few months, we are talking Python on the Meta Tech Podcast. Python 3.12 features a whole range of new features, many of which were contributed by Meta. Carl and Itamar join Pascal to talk about their contributions to the latest release, including new hooks that allow for custom JITs like Cinder, Immortal Objects, improvements to the type system, faster comprehensions and much more. In their discussion, they talk not just about how and why those features were built but also the process of upstreaming and engaging with the community.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • "Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta" - https://engineering.fb.com/2024/01/18/developer-tools/lazy-imports-cinder-machine-learning-meta/

    • "How Meta built the infrastructure for Threads" - https://engineering.fb.com/2023/12/19/core-infra/how-meta-built-the-infrastructure-for-threads/

    • Cinder on GitHub - https://github.com/facebookincubator/cinder

    • "Meta contributes new features to Python 3.12" - https://engineering.fb.com/2023/10/05/developer-tools/python-312-meta-new-features/

    Timestamps

    • Intro 0:06

    • Carl Intro 2:09

    • Itamar Intro 3:27

    • Teams and Missions 5:10

    • Python 3

    • Faster Coroutines 8:57

    • Code Watchers and JIT Hooks 12:10

    • When to upstream 13:53

    • How to upstream to CPython 16:19

    • History of Cinder 21:35

    • Why not upstream Cinder? 25:48

    • Cinder hooks in CPython 29:34

    • Free Threading 34:10

    • Outro 37:08

    39 min
  • 58: Advancing GenAI at Meta

    For this last episode of 2024, Pascal talks with Devi, an AI research director at Meta. They talk about the history of AI at Meta, some of the basic terms, how Meta's approach to developing and using AI differs notably from other companies and what the future has in store.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • Meta AI Blog: https://ai.meta.com/

    • Purple Llama: https://ai.meta.com/blog/purple-llama-open-trust-safety-generative-ai/

    • AI Alliance: https://ai.meta.com/blog/ai-alliance/

    • Audiobox: https://ai.meta.com/blog/audiobox-generating-audio-voice-natural-language-prompts/

    • Emu Video and Emu Edit: https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/

    • Meta AI Agents: https://about.fb.com/news/2023/09/introducing-ai-powered-assistants-characters-and-creative-tools/

    Timestamps

    • Intro 0:00

    • Introduction Devi 2:27

    • AI vs ML 4:00

    • History of AI at Meta 6:03

    • Deep learning and LLMs 9:32

    • LLMs vs GenAI 11:42

    • Multi-modal models 12:21

    • Meta's AI agents 14:33

    • Meta's open approach to AI 16:53

    • Image and video generation and editing 22:28

    • Most exciting future AI developments 27:17

    • Outro 28:57

    31 min
  • ARCHIVE: From Facebook Home to Instagram Stories

    We're jumping into our time machine and going back to 2018 for an interview with Will B. about the various twists and turns that led to the creation of Instagram Stories. We will be back with a fresh interview next month.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • Rebound: https://github.com/facebookarchive/rebound
    • Origami Studio: https://origami.design/

    Timestamps

    • Intro 0:06

    • Will Bailey 1:14

    • Early FB iOS app 7:16

    • Release Trains 11:52

    • The End of HTML5 13:29

    • Migration to Native 16:05

    • Facebook Home 17:02

    • Design Collaboration 22:03

    • Instagram 26:33

    • Slingshot 27:57

    • Instagram for Android 29:54

    • Instagram Stories 35:37

    • Rebound 41:25

    • Outro 44:41

    46 min
  • 57: Writing and linting Python at scale

    Python at Meta is huge. Not only does it famously power Instagram's backend, but it underpins our configuration systems, much of our AI work and many services. Amethyst joins Pascal for this episode of the Meta Tech Podcast to talk about how the Python Foundation Team works to improve the developer experience of everyone working with Python at Meta and Fixit 2, the freshly open-sourced linter framework built on top of libcst.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • Fixit 2 announcement post: https://engineering.fb.com/2023/08/07/developer-tools/fixit-2-linter-meta/

    • Fixit: https://fixit.readthedocs.io

    • µfmt: https://ufmt.omnilib.dev

    • µsort: https://usort.readthedocs.io

    • LibCST: https://libcst.readthedocs.io

    • 5 Things You Didn't Know About Buck2: https://engineering.fb.com/2023/10/23/developer-tools/5-things-you-didnt-know-about-buck2/

    • Scheduling Jupyter Notebooks at Meta: https://engineering.fb.com/2023/08/29/security/scheduling-jupyter-notebooks-meta/

    Timestamps

    • Intro 0:06

    • Intro Amethyst 1:57

    • Production vs Software Engineering 3:41

    • PE for language teams 5:40

    • Python at Meta 6:58

    • Python3 migration 10:15

    • Projects on the Python Foundation Team 16:30

    • libcst and codemods 21:55

    • What Python looks like at Meta 25:53

    • Meta's involvement in the Python community 30:30

    • The importance of lints at Meta 35:13

    • Why another linter? 39:11

    • Favourite lint 46:26

    • Outro 48:17

    • Bloopers 48:54

    50 min
  • 56: How Threads was built in 5 months

    Threads went from idea to 100M users in just about five months. This would not have been possible without building on top of Meta's existing systems and infrastructure. Join Pascal as he speaks with Joy, Cameron and Richard, three engineers from the Threads team who worked on backend, iOS and Android, respectively to learn about the challenges they faced along the way.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • Threads: https://threads.net

    • Threads: The inside story of Meta's newest social app - https://engineering.fb.com/2023/09/07/culture/threads-inside-story-metas-newest-social-app/

    • Litho: https://fblitho.com/

    Timestamps

    • Intro 0:00

    • Introductions 0:56

    • Intro: Cameron 1:42

    • Intro: Joy 2:06

    • Intro: Richard 2:30

    • Early Days at Threads 3:03

    • Specialisations 6:52

    • Why built on top of IG? 7:18

    • iOS and Android approaches 10:17

    • UI Frameworks 12:00

    • Code sharing on server 15:36

    • What broke? 20:04

    • How has the team changed? 23:02

    • Favourite moments 25:30

    • Outro 29:45

    • Outtakes 31:03

    32 min
  • 55: What it's like to ship code at Meta

    For episode 55, Pascal speaks with Katherine and returning guest Dustin, two software engineers at Meta about how to ship code at Meta. Why do we have a monorepo? Why and how do we do pre-commit code review? What does our CI infrastructure look like? Get the answers to these questions and many more in this episode of the Meta Tech Podcast.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • The evolution of Facebook's iOS app architecture - Engineering At Meta: https://engineering.fb.com/2023/02/06/ios/facebook-ios-app-architecture/

    • Episode 47: Source control at Meta - https://pca.st/episode/429e9f38-6537-43e3-b929-fbeeda326ed5

    Timestamps

    • Intro 0:06

    • Intro Katherine 1:55

    • Dustin's Origin Story 4:38

    • Topic Intro 6:28

    • Why Monorepo(s) 7:18

    • What Makes Monorepos Hard? 12:15

    • Why do we Have so Many Files? 17:31

    • Who Owns Stuff? 25:29

    • Life of a Diff 28:58

    • Writing Bots Writing Code Writing Bots 34:16

    • Finding Reviewers 38:46

    • Why Are Things Not Constantly on Fire? 41:43

    • Outro 47:47

    • Outtakes 48:46

    50 min
  • 54: Building Key Transparency at WhatsApp

    In April, WhatsApp announced the launch of a new cryptographic security feature to automatically verify a secured connection based on key transparency. Key transparency helps strengthen the guarantee that end-to-end encryption provides to private, personal messaging applications in a transparent manner available to all.

    Rolling out a feature like this to WhatsApp's user base is not a small feat and requires some clever engineering to scale to the billions of users relying on WhatsApp to stay in touch with friends, family and business.

    Pascal is joined by Sean and Kevin to discuss what Key Transparency means in practice and the various challenges they encountered as they scaled it up to billions of users.

    Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • Infer: https://fbinfer.com/

    • Infer on GitHub: https://github.com/facebook/infer

    • MTP Episode 18 about Infer: https://pca.st/5U9V

    • Deploying key transparency at WhatsApp - Engineering at Meta: https://engineering.fb.com/2023/04/13/security/whatsapp-key-transparency/

    • GitHub - facebook/akd: An implementation of an auditable key directory: https://github.com/facebook/akd/

    • Parakeet: Practical Key Transparency for End-to-End Encrypted Messaging: https://www.ndss-symposium.org/ndss-paper/parakeet-practical-key-transparency-for-end-to-end-encrypted-messaging/

    • SEEMless: Secure End-to-End Encrypted Messaging with less trust: https://eprint.iacr.org/2018/607

    • Coniks: Bringing Key Transparency to End Users: https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/melara

    • IETF Working Group on Key Transparency: https://datatracker.ietf.org/wg/keytrans/about

    Timestamps

    • Intro 0:06

    • News Update: Infer turns 10 1:34

    • Interview Intro 4:27

    • Intro Kevin 4:45

    • Intro Sean 6:07

    • WhatsApp's mission 6:47

    • PETs 7:58

    • E2E basics 8:59

    • Key transparency 10:32

    • Crypto community response 18:20

    • End-user changes 19:57

    • Technical challenges and zero-knowledge proofs 23:18

    • AKD 28:27

    • Internal deployment 32:02

    • Outro 42:16

    • Bloopers 43:05

    44 min
  • 53: Offensive security at Meta's Red Team X

    Red Team X is a security team at Meta that is responsible for finding and exploiting vulnerabilities in third-party products that could impact Meta's own security. The team acts as a hybrid between a traditional red team, which focuses on probing their own organisation's systems and products for vulnerabilities, and an elite bug-hunting group.

    The team was founded by Vlad I. in 2020 when the pandemic and the sudden shift to Work From Home challenged various previously-held assumptions about security.

    In his discussion with Pascal, Vlad explains the roles of different security teams within Meta, how they go about prioritising the highest-impact targets to exploit and how they work with vendors to ensure not just Meta but the entire world benefits from the fixes produced.

    Got feedback? Send it to us on Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy and https://mastodon.social/@passy). Fancy working with us? Check out https://www.metacareers.com/.

    Links:

    • The Diff episode about Velox: https://thediffpodcast.com/docs/episode-17

    • Risky Business Podcast: https://risky.biz/

    • RTX Blog: https://rtx.meta.security

    • RTX Disclosures: https://rtx.meta.security/bugs

    • RTX in WIRED: https://www.wired.com/story/facebook-red-team-x-vulnerabilities/

    Timestamps:

    • Intro 0:06

    • Vlad Intro 1:55

    • Red Teaming 2:43

    • Staying up-to-date 6:34

    • Different team colours 10:02

    • Defence-in-depth 12:44

    • Red Team X 15:57

    • Hardware v Software 19:43

    • Focus areas 21:29

    • Prioritising requests 22:44

    • Notable RTX Disclosures 26:05

    • Vulnerability disclosure policy 28:52

    • Getting into offensive security 38:48

    • Outro 40:51

    42 min
  • 52: The success story behind PyTorch

    PyTorch is now one of the most popular machine learning frameworks out there but that was not a foregone conclusion when it was released in 2016. Our host Pascal is joined by Suraj, a developer advocate here at Meta, to dissect the history of PyTorch and look at the factors that contributed to its success. That includes understanding your target audience, maintaining backwards compatibility, fostering a helpful community and so much more.

    You don't need to be an expert in PyTorch to enjoy the discussion as Suraj explains all the basics.

    Got feedback? Send it to us on Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy and https://mastodon.social/@passy). Fancy working with us? Check out https://www.metacareers.com/.

    Links:

    • Meta Open Source Blog: Creating Safe Spaces for Underrepresented Individuals in Open Source Communities - https://developers.facebook.com/blog/post/2023/05/31/creating-safe-spaces/

    • PyTorch Developer Podcast - https://pytorch-dev-podcast.simplecast.com/

    • PyTorch - https://pytorch.org/

    • PyTorch on GitHub - https://github.com/pytorch/pytorch

    • Announcing the PyTorch Foundation: A new era for the cutting-edge AI framework - https://ai.facebook.com/blog/pytorch-foundation/

    Timestamps:

      • Intro 0:05

      • Suraj Intro 1:52

      • What is PyTorch? 4:39

      • History of PyTorch 5:33

      • Choosing a Target Audience 7:27

      • Python and Performance 11:20

      • Design Decisions 19:04

      • OSS Governance and Community 21:11

      • PyTorch 2.0 25:47

      • How to get started 28:32

      • Outro 30:14

      • Bloopers 32:16
    33 min
  • 51: Buck2 - a large-scale build system

    For episode 51, Pascal speaks with Neil and Marie, two of the engineers behind Buck2, our open source, large scale build system. Thousands of developers at Meta are already using Buck2 and performing millions of builds per day that on average complete in half the time of Buck1 builds. Marie and Neil discuss the design choices that make Buck2 so much faster and the various challenges they faced in engineering and open sourcing the build system.

    Got feedback? Send it to us on Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don't forget to follow our host @passy (https://twitter.com/passy and https://mastodon.social/@passy). Fancy working with us? Check out https://www.metacareers.com/.

    Links

    • Announcement blog post: https://engineering.fb.com/2023/04/06/open-source/buck2-open-source-large-scale-build-system/
    • Buck2: https://buck2.build/

    • Buck2 on GitHub: https://github.com/facebook/buck2

    • Build Systems à la Carte - https://www.microsoft.com/en-us/research/uploads/prod/2018/03/build-systems.pdf

    • Lexical YouTube clip: https://www.youtube.com/watch?v=Vpv0BYhhlak

    • Lexical for iOS: https://github.com/facebook/lexical-ios

    Timestamps

    • Intro 0:06

    • Intro Marie 1:30

    • Intro Neil 2:57

    • Why a custom build tool? 4:21

    • Rewriting Buck 6:49

    • Buck2 vs Bazel 8:49

    • Building language support 12:06

    • Buck2 as a developer 13:15

    • Upgrade from Buck1 to Buck2 15:05

    • How is Buck2 faster? 16:31

    • Rust and Profiling 18:44

    • From Python to Starlark 25:54

    • Open-Sourcing 28:18

    • Outro 32:15

    33 min

About Meta Tech Podcast

From the publisher's feed

Brought to you by Meta. In addition to remaining active in the open source community and conference circuit, this podcast offers another channel that allows us to highlight the technical work of our…

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