global network

A seven-minute Google I/O 2014 talk by Simon Newton on how developers can make use of Google's global network. It describes the network's footprint and some of the services running on it.

Van Jacobson's 2006 Google Tech Talk argues that networking should be rethought around named data rather than host-to-host conversations. He contrasts the circuit and datagram views of the internet and sketches content-centric networking as a replacement for the location-centric TCP/IP model.

The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.

Van Jacobson's 2006 Google Tech Talk argues for rethinking networking around named data rather than host-to-host connections. He gives the history and the unsolved problems of the current internet architecture.

A dialogue with Gary Weber on the default mode network, meditation and non-dual awakening, with discussion of psychedelics, thought and time. It is part of the Non-Dual Couch series.

A two-hour NANOG tutorial by Richard Steenbergen aimed at network engineers, covering optical networking technologies. This is the updated 2017 edition of a recurring talk.

A 2017 video arguing that banks and Blockstream steered Bitcoin toward the Lightning Network. It is partisan commentary from the Bitcoin Cash side of the scaling dispute.

Cloth Map documents Havana's SNET, a community-built private network that Cubans created because internet prices were high. It is used for gaming and sharing.

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

Van Jacobson's 2006 Google Tech Talk on rethinking networking around named content instead of host-to-host conversations. He recounts packet-networking history and lays out the content-centric networking idea that later became NDN.

An 8-minute explainer on the Lightning Network and how it relates to Segwit, Bitcoin and Litecoin. It covers how off-chain payment channels route payments to scale blockchain transactions.

Google's Amin Vahdat gives the ONS 2015 keynote on Google's datacenter networking, including its custom hardware, software-defined networking and very high bisection bandwidth.

3Blue1Brown's first chapter on deep learning explains what neurons and layers are and the math underlying a basic neural network, using handwritten digit recognition with visual animations.

Bungie's David Aldridge explains the networking programming behind Halo: Reach in a 2011 GDC session. It covers how gameplay stays in sync online, including forecasting and state reconciliation.

Sentdex demonstrates GAN Theft Auto, a GameGAN-based neural network that recreates GTA V so the network itself is the playable environment. He shows the results and releases the code.

Two Minute Papers covers a paper on speeding up fluid and smoke simulation with convolutional networks. It contrasts the approach with earlier regression forest methods.

Urs Hoelzle, Google's SVP of infrastructure, gives the 2012 Open Networking Summit keynote on how Google adopted OpenFlow and software-defined networking in its own networks. The slides are linked in the description.

Hans Rosling and his son Ola run an audience quiz with global population, health and income data to show how wrong most people are about the world. Ola then gives four ways to get less ignorant.

A 2007 Channel 4 documentary by Martin Durkin arguing that human-caused global warming is overstated or a scam. It features contrarian scientists such as Richard Lindzen and promotes sunspot and cosmic-ray explanations for temperature change. Its claims are rejected by mainstream climate science.

Potholer54 presents the climate science case and a market-oriented, conservative-friendly approach to addressing global warming, with sources listed. It is part one of a two-part series.

Eric Brandwine's AWS re:Invent 2015 session on how Amazon VPC networking works. It covers the problems the design solved, why traditional approaches do not scale, and the mechanisms used for customer isolation and VPC endpoints.

3Blue1Brown's second neural network chapter explains cost functions and gradient descent, showing how a network learns by minimizing error during training.

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

Veritasium debunks common climate change myths in under seven minutes, with references to NASA and published research. Topics include CO2 sources, sea ice and 1970s predictions of cooling.

A 2015 interview in which physicist Freeman Dyson, then 91, argues that global warming concerns are exaggerated, that CO2 is beneficial and that climate models oversimplify complex systems. It is posted on a channel that opposes climate consensus.

Yanis Varoufakis talks at a festival in Zagreb about his book The Global Minotaur. He argues the postwar global economy and the 2008 crisis stem from deeper structural causes than greed or weak regulation.

Peter Zeihan speaks at Iowa Swine Day 2022 on geopolitics, the end of globalization and agriculture. He argues that supply chains, energy and farm inputs are all about to be disrupted.

Hans Rosling's TED@Cannes talk uses boxes and animated data graphics to show how world population will grow to about 9 billion. He argues that raising living standards for the poorest is what reduces population growth.

Geoffrey Hinton gives an MIT talk on what is wrong with convolutional neural networks and introduces his capsules project. The description points to the capsule network papers.

The first lecture of Stanford's CS231n course on convolutional neural networks for visual recognition. It surveys the history and key challenges of computer vision, from the Cambrian explosion and Hubel and Wiesel to ImageNet.

Gamers Nexus builds a fully ray-traced demo in Unreal Engine to compare faked global illumination with RTX ray-traced GI. It covers the gains in dynamic scenes and accuracy against the performance cost and noise.

A short Futurama clip about a ridiculous cartoon solution to global warming.

A six-minute clip of the famous speech from the 1976 film Network in which the world is described as a corporation. It portrays a world run by corporate interests.

A one-minute clip of slime mold placed on a map with food at the cities around Tokyo, growing a network that approximates the Tokyo-area railway system.

Charlie Rose interviews Sir James Goldsmith in 1994 about the coming GATT free-trade agreement. Goldsmith predicts that global capital mobility will upset the balance between capital and labor.

Andreas Spiess explains the basic principles of LoRa and LoRaWAN, their pros and cons, link budget and bandwidth. He shows his own gateway and client sending a message to The Things Network.

Rick Falkvinge responds to viewer feedback on his earlier Lightning Network video and raises a flaw he says was not previously discussed. The main thread is the network's unsolved routing problem.

A short demo video for NVIDIA's StyleGAN paper, which proposes a style-based generator for GANs. It shows face synthesis with style mixing and scale-specific control over attributes like pose and freckles.

Valve's John McDonald presents at GDC 2018 on how Valve uses deep learning (VACnet) to detect cheaters in Counter-Strike: Global Offensive. He covers training on human-reviewed replays and how model output is confirmed by manual review.

A 38C3 talk on how advanced chips are made, centered on EUV lithography and the global supply chain behind it. It covers technical challenges from raw materials to finished chips and the geopolitical weight of semiconductors.