network state

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.

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.

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.

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.

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.

Sasha Rush surveys linear RNNs and state space models as replacements for attention in transformer-style models, in a talk for MLSys. It covers the foundational preliminaries and predates Mamba.

Jon Gjengset's 2020 PhD dissertation presentation at MIT on partial state in dataflow-based materialized views, the idea behind the Noria database. The Q&A is cut out.

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.

Richard Feldman's elm-conf talk on designing models so that bugs from impossible application states cannot occur, using Elm's compiler and types. It demonstrates techniques for making invalid states unrepresentable.

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.

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.

Veritasium explains how investigators caught the Golden State Killer using forensic genealogy, matching crime scene DNA to distant relatives in public genealogy databases. It also covers the privacy implications of DNA databases.

A VICE News report on the 2017 protests at Evergreen State College, including the confrontation involving professor Bret Weinstein.

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 scene from the film Enemy of the State showing absurdly implausible image enhancement, with freezing, rotating, zooming and focusing on a video.

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.

2swap explains how he solved the Klotski sliding-block puzzle by mapping its full state space as a graph and visualizing it. The video includes footage of the Guinness world-record solve and links to an interactive graph.

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.

Weird Al's whiteboard-animated music video parodying corporate buzzword culture, from the album Mandatory Fun. The lyrics are packed with business jargon.

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.

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.

Rich Hickey's talk on time, state, identity and values, arguing that mutable object-oriented modeling fits the world poorly. It lays out the thinking behind Clojure's approach to data and change.

A 2018 GDC talk by NetherRealm's Michael Stallone on the engine changes, optimizations and tooling needed to roll back and re-simulate up to 8 frames in 16 ms in Mortal Kombat and Injustice 2. It is a deep dive into deterministic rollback netcode.

SQLite creator Richard Hipp gives a history of SQLite and explains where it shines as a database at the edge of the network with no DBA. He covers long-term support, testing and how it is used in products.

A long Team House podcast interview with James Lawler, a former CIA operations officer who led counterproliferation work against the A.Q. Khan nuclear network. He discusses HUMINT, WMD and how such operations were run.