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David Heinemeier Hansson's talk at Startup School 2008 on building a profitable startup. He argues for bootstrapping and small, well-run companies instead of chasing investment and exits.

Paul Graham speaks at Startup School 2008 about how to create a successful startup. His talk emphasizes being good, not just avoiding being evil, as a strategic advantage.

Paul Buchheit, creator of Gmail and founder of FriendFeed, speaks at Startup School 08 about listening to users. He covers feedback, features, aiming for 100 happy users, and treating "that's impossible" as a statement of limited experience.

Mike Arrington of TechCrunch speaks at Startup School 2008 about how to get press coverage for a startup and how to respond to it.

Andrew "bunnie" Huang examines how realistic hardware supply chain attacks are, from rogue insiders to nation states, in the wake of the Bloomberg Businessweek report. He explains how undocumented components could be hidden on boards and how hard they are to spot.

A 16-minute Y Combinator Startup School talk in which Sam Altman lays out what makes a startup succeed. It covers building a product people tell friends about, exponential markets, real versus fake trends, and having an ambitious vision.

Rob Pike presents Upspin at Gopherfest 2017, an experimental framework for naming and sharing files and data securely and uniformly across a global namespace. It is a project written in Go rather than about Go.

Joel Spolsky, founder of Fog Creek Software and StackExchange, speaks at Y Combinator's Startup School in 2012. He shares his perspective on building startups.

A Google Tech Talk by Raymond Blum on how Google backs up massive amounts of data such as Gmail and Picasa. It covers scaling challenges, failure types, and approaches that did not work, including tape.

Bill Gross, who has founded and incubated many start-ups, ranked hundreds of companies on five factors. He presents the one factor that stood out as the biggest predictor of success.

Chase Adam, founder of the nonprofit Watsi, speaks at Startup School 2013 about building a nonprofit startup.

Tony Seba's 2016 keynote argues that batteries, electric vehicles, self-driving cars and solar will converge to disrupt energy and transportation. He predicts by 2030 all new vehicles will be electric and autonomous and that oil and other fossil fuels will be obsolete.

Stanford futurist Tony Seba argues that electric vehicles, battery storage, solar and autonomous vehicles form a 10x exponential disruption that will make fossil fuels obsolete within about a decade. It draws on his Clean Disruption book.

Peter Norvig, then Director of Research at Google, talks at Startup School 2008 about leveraging large amounts of data and about technical challenges in Google projects such as image search. A central idea is that data can beat hand-written programming.

Steve Jobs presents Apple's proposal for a new campus to the Cupertino City Council in June 2011, answering council members' questions about the plan.

Mark Bastian contrasts top-down object-oriented design with bottom-up, data-oriented design in Clojure. He models a board game as plain data plus small composable functions and compares it with a roughly 22-class OOP version.

A 36C3 talk by Bunnie Huang arguing that open source is necessary but not sufficient for trustworthy hardware, because verifying hardware is destructive and so creates a time-of-check/time-of-use gap. It surveys supply chain security and classes of hardware attacks, and presents the Betrusted approach to narrowing that gap.

Bryan Cantrill's Uptime 2017 talk on the engineering challenges of the stateful data path, including storage, firmware and hardware bugs. It uses the 'zebras vs. horses' diagnostic heuristic to explain why rare failures keep appearing.

Guy Steele's invited talk at Clojure/conj on the informal metanotation computer scientists use in papers to describe languages. He traces how this notation developed and why it is often unspecified and arcane.

Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.

Paul Graham's keynote at PyCon 2012, in which he talks about startup ideas and what kinds of companies are likely to matter in the future. He discusses ideas such as a better email client and a search engine for hackers, and argues for looking back at the present from the future.

Guy Steele's PPoPP 2017 keynote surveying the history of computer science metanotation, including BNF, inference rules, and overline notation. He argues the field's notations are inconsistent and fragmented.

Jérôme Petazzoni explains how Linux containers are built from kernel features like cgroups, namespaces and SELinux. He demonstrates putting the pieces together by hand to make a container and compares runtimes and approaches like jails and zones.

Bjarne Stroustrup's CppCon 2015 keynote on using C++14 to write better code, not just different code. It introduces the C++ Core Guidelines and the machine-checkable rules and GSL library behind them.

David Heinemeier Hansson, creator of Ruby on Rails and partner at 37signals, argues that planning is guessing and startups should focus on today. He says constraints are an advantage and that startups can bootstrap profitably in sizable markets.

Pieter Levels talks at Dojo Bali about building startups without venture capital through bootstrapping, persistence and learning many skills as a generalist. He reviews his own past projects.

A Startup School talk by YC partner and former Airbnb growth head Gustaf Alstromer on how startups get their first customers. It covers doing things that don't scale, founders learning sales, the sales funnel, and charging your first customer.

A re-upload of Rupert Sheldrake's TEDx talk The Science Delusion, which TED removed from its channel. He challenges what he calls the dogmas of modern science, including whether fundamental constants are constant.

Bjarne Stroustrup's keynote at Going Native 2012 covers the ideas behind C++11, including using types to prevent errors and simplifying code with the STL.

A 35C3 talk presenting a proof-of-concept SPI bus hardware implant with capabilities like those alleged in the Bloomberg Supermicro story, plus countermeasures for detecting such modchips.

Paul Graham gives a keynote in his hometown of Pittsburgh, reflecting on the old and new city and arguing that it could become a startup hub.

Balaji Srinivasan's Startup School 2013 talk on Silicon Valley's Ultimate Exit, arguing for building alternatives outside existing institutions. It is the primary source for a much-retold and much-distorted idea.

A Cincinnati Ruby meetup talk by Jim Weirich on decoupling application logic from Rails. He argues for separating business logic from framework and database models.

SpaceX's September 2019 Starship update presentation, where Elon Musk describes the design and development of Starship and Super Heavy. It covers construction and plans for reusable orbital rockets.

Kelsey Hightower introduces Kubernetes to sysadmins at PuppetConf 2016, with a demo. He explains the declarative model and how it changes the contract between infrastructure and applications.

Rob Pike presents the Go 2 draft specifications at the Sydney Golang Meetup, covering the Go 2 process and several proposals including generics. The Q&A contains a well-known exchange about the name of the language.

Joel Grus's JupyterCon talk explaining why he dislikes Jupyter notebooks. He covers hidden state, trouble with reproducibility and testing, and how notebooks frustrate teaching. He shows his preferred workflow and what Jupyter could change.

Jeremy Howard defends Jupyter notebooks as a serious development environment, especially when paired with nbdev. He responds directly to Joel Grus's talk about why he dislikes notebooks, and contrasts REPL-style and notebook-style work.

Travis Kalanick's talk at FailCon 2011 about his earlier failed startups, given as a case study before Uber's rise. It describes lessons from those ventures.

A panel from the Beneficial AI 2017 conference moderated by Max Tegmark, with Elon Musk, Stuart Russell, Kurzweil, Hassabis, Harris, Bostrom, Chalmers and others. They discuss likely outcomes of human-level AGI and what outcomes are desirable.