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7 slides25:44EN
Jane Street· Mar 9, 2017Why Functional Programming Matters at Jane StreetSebastian Funk · Jane StreetA Jane Street developer revisits John Hughes’s classic argument and explains why expressive static types rank highest for trading systems.Programming LanguagesSoftware engineeringCoding Culture
8 slides28:31EN
Jane Street· Mar 9, 2017Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.Programming LanguagesSoftware engineeringDeveloper productivity
4 slides13:58EN
3Blue1Brown· Nov 25, 2016Solving the Towers of Hanoi by Counting in BinaryKeith SchwarzBinary carries select the disk to move, and a recursive argument explains why the solution uses the fewest possible moves.Mathematics
16:29EN
3Blue1Brown· Nov 4, 2016Why Topology Matters: An Inscribed Rectangle ArgumentGrant SandersonGrant Sanderson turns pairs of points on a curve into a Möbius strip.Mathematics
1:29:03EN
Lex Fridman· Sep 27, 2016PodcastFrom Word Vectors to Memory Networks: The Building Blocks of Deep NLPHost Lex FridmanRichard Socher explains how word embeddings, recurrent models, GRUs, pointer mixtures, and dynamic memory networks turn language tasks into trainable end-to-end systems.Models & trainingDeep LearningML fundamentals+2
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3Blue1Brown· Sep 1, 2016Why Cross-Product Coordinates Match Their GeometryGrant SandersonA linear transformation and duality connect the determinant formula to area and direction.MathematicsEducation
43:16EN
GOTO Conferences· Aug 29, 2016How Platforms Work: From Deployment to RecoveryCasey WestCasey West outlines six platform capabilities and demonstrates them with Cloud Foundry in 2016.Enterprise & strategyCompany Building
30:03EN
Google DeepMind· Jul 5, 2016Mustafa Suleyman’s 2016 Vision for Technology in Patient CareMustafa Suleyman · DeepMindA historical talk on clinician-led design, kidney-injury alerts, eye-scan research and the need for scrutiny.AI in healthcareAI for sciencePrivacy & data governance+1
3 slides1:09:24EN
Jane Street· Apr 5, 2016Yaron Minsky on Effective ML: Writing OCaml for Code ReadersYaron Minsky · Jane StreetPractical lessons from Jane Street on using types, interfaces and abstraction to keep a large OCaml codebase understandable and correct.Programming LanguagesSoftware engineeringCode review & verification+1
16:01EN
3Blue1Brown· Apr 1, 2016The Brachistochrone: Why the Fastest Descent Is a CycloidGrant Sanderson, Steven StrogatzGrant Sanderson and Steven Strogatz explore Bernoulli’s light analogy and a geometric proof.MathematicsPhysics
3 slides1:06:39EN
Jane Street· Mar 31, 2016Why Jane Street Uses OCamlYaron Minsky · Jane StreetA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.Programming LanguagesSoftware engineeringDeveloper productivity+1
23:58EN
Jane Street· Mar 31, 2016Effective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.Programming LanguagesSoftware engineeringCode review & verification
2 slides1:04:56EN
Jane Street· Mar 31, 2016Yaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.Programming LanguagesSoftware engineeringDeveloper productivity
3 slides1:12:41EN
Jane Street· Mar 31, 2016Ron Minsky on Trading, Correctness and Jane Street’s Shift to OCamlYaron Minsky · Jane StreetA Jane Street technologist explains the market-making business and why readability, types and predictable performance shaped the firm’s choice of OCaml.Programming LanguagesSoftware engineeringInvesting
5 slides51:35EN
Jane Street· Mar 31, 2016Yaron Minsky on Effective ML: Interfaces, Invariants and Code ReadersYaron Minsky · Jane StreetIn the first part of a 2011 Harvard lecture, Jane Street’s Yaron Minsky shows how OCaml interfaces and types can make long-lived code easier to understand and change.Programming LanguagesSoftware engineeringCode review & verification
52:20EN
GOTO Conferences· Nov 1, 2015Toyota Kata for Continuous ImprovementHåkan ForssHåkan Forss explains target conditions, coaching and small experiments.ManagementSoftware engineeringExperimentation
4 slides7:27EN
3Blue1Brown· Jun 21, 2015A Proof of Euler’s Formula Using Graph DualityA planar graph and its dual have complementary spanning trees. Counting their edges gives a visual proof that V − E + F = 2.MathematicsScience Communication
1:36:30EN
Google DeepMind· May 13, 2015Reinforcement Learning Lecture 5: Model-Free ControlDavid SilverDavid Silver explains Monte Carlo control, SARSA, eligibility traces and Q-learning.Reinforcement LearningAI research
6:13EN
3Blue1Brown· Mar 5, 2015Euler’s Identity as a Rotation: An Early 3Blue1Brown ExplanationA geometric introduction to how the exponential connects addition, multiplication and rotations in the complex plane.Mathematics
9:47EN
Lex Fridman· Jun 16, 2014Podcast · 2 speakersRyan Hall on Principles and Priorities in Jiu-JitsuGuest Ryan Hall · Host Lex FridmanA grappling instructor discusses fundamentals, details and learning.
9:16EN
Lex Fridman· Jun 5, 2014Podcast · 2 speakersRyan Hall on the Value of CompetitionGuest Ryan Hall · Host Lex FridmanA martial artist discusses preparation, discipline and honest feedback.
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Lenny's PodcastPodcast · 2 speakersHard Skills, Soft Skills and Mentors: Jules Walter's Playbook for Growing as a PMGuest Jules Walter · Host Lenny RachitskyYouTube product lead Jules Walter explains how he builds IQ and EQ skills, asks for honest feedback, and recruits mentors with the smallest possible ask.Product & UXProduct ManagementLeadership+3
1:00:51EN
Lex FridmanPodcastDeep Learning From the Ground Up: Hugo Larochelle's One-Hour Tour of Neural Network FoundationsHost Lex FridmanA fast, equation-level walk through feed-forward networks, backpropagation, practical training tricks, dropout and batch normalization, from the 2016 Deep Learning School.Models & trainingDeep LearningML fundamentals+1
1:56:35EN
Cognitive Revolution "How AI Changes Everything"PodcastFrom Autocomplete to Alien Optimizer: Riley Goodside on Three Eras of PromptingHost Nathan LabenzScale AI's first staff prompt engineer traces how language models went from pure text prediction to instruction following to RLHF, and what that means for building with them.Models & trainingPrompting & in-context learningPrompt injection+2
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