NCAA rules prohibit dunking with less than 20 minutes until tip, and Rohleder’s dunk came with 19:58 showing on the clock.

https://www.espn.com/mens-college-basketball/recap?gameId=400546928

Bit strings, error correcting, and coloring the corners of higher dimensional cubes.

We introduce the problem of perpetual view generation—long-range generation of novel views corresponding to an arbitrarily long camera trajectory given a single image. This is a challenging problem that goes far beyond the capabilities of current view synthesis methods, which work for a limited range of viewpoints and quickly degenerate when presented with a large camera motion. Methods designed for video generation also have limited ability to produce long video sequences and are often agnostic to scene geometry. We take a hybrid approach that integrates both geometry and image synthesis in an iterative render, refine, and repeat framework, allowing for long-range generation that cover large distances after hundreds of frames. Our approach can be trained from a set of monocular video sequences without any manual annotation. We propose a dataset of aerial footage of natural coastal scenes, and compare our method with recent view synthesis and conditional video generation baselines, showing that it can generate plausible scenes for much longer time horizons over large camera trajectories compared to existing methods.

https://arxiv.org/abs/2012.09855

https://github.com/google-research/google-research/tree/master/infinite_nature

source: HN

1963 Chrysler Turbine: Ultimate Edition. It’s the amazing car Jay’s lusted after since he was 14 years old, and today’s episode is packed with all kinds of amazing footage! We’ve got a book review, a road test, and Chrysler’s original promotional video.

Open a padlock (or probably any keyed lock) by taking a picture of the sliders inside, then cutting a key.

The video shows this in real time and is five minutes long. Open sesame!

That may be over selling it, but cool anyway.

A probably not entirely wrong history of cameras developed for the moon.

“The Kharkovchanka” - Russia’s Colossal Antarctic Cruisers which have been continuously operating in some of the most extreme environments on Earth for over 50 years. Produced in Kharkiv, Ukrainian Soviet Socialistic Republic and originally operated by USSR, the ’Харьковчанка’ (literally ‘Kharkiv Women’), these amazing Snow Cruisers were built in the late 1950s and featured everything a polar explorer could need in the field. In their half-century mission, they have crossed thousands of miles on Antarctic Ice, visited the South Pole, the pole of inaccessibility as well the dozens of outposts and research stations on the continent.

Previously: “The Snow Cruiser“-Antarctica’s Abandoned Behemoth

https://www.youtube.com/watch?v=zR0M7KjnJTE

To punt is to give up, and in the 21st century, NFL teams have given up nearly 50,000 times. Most of those punts were reasonable decisions. But a few were so cowardly, and in such defiance of all reason, that they must not be forgotten. In this episode of Chart Party, it’s our mission to find them.

It’s more than 120V. It’s even more than the other 120V! It is the sum of the two (and sometimes a different two!) that makes us who we are. Learn about the US electrical system in this not-at-all snarky video!

This talk shows how two bugs involving somewhat narrow-looking race windows (https://crbug.com/project-zero/1695 in the Linux kernel, https://crbug.com/project-zero/1741 in Android userspace code) can be stretched wide enough to win the race conditions on a Google Pixel 2 phone, running a Linux 4.4 kernel, by making use of the unprivileged sched_*() syscalls.

source: grugq

It has taken many months, but I was finally able to make a decent aerogel!

I think I’ll stick with watching videos instead of making my own.

In January 2018, the world learned about Spectre and Meltdown, a new class of issues that affects virtually all modern CPUs via nearly imperceptible changes to their micro-architectural states and can result in full access to physical RAM or leaking of state between threads, processes, or guests. In this session, we examine one of these side-channel attacks in detail and explore the implications for multi-tenant computing. We discuss AWS design decisions and what AWS does to protect your instances, containers, and function invocations. Finally, we discuss what the future looks like in the presence of this new class of issue.

This is a good recap. Specific defenses starts around 42:00.

The goal of this talk is to broaden the awareness of the how and why container escapes work, starting from a brief intro to what makes a process a container, and then spanning the gamut of escape techniques, covering exposed orchestrators, access to the Docker socket, exposed mount points, /proc, all the way down to overwriting/exploiting the kernel structures to leave the confines of the container.

source: white

Hand drawn animation.

source: K

Today at 14:52 I will be exactly 1 billion seconds old. To celebrate I build this machine that visualizes the number googol. That’s a 1 with a hundred zeros. A number that’s bigger than the atoms in the known universe. This machine has a gear reduction of 1 to 10 a hundred times. In order to get the last gear to turn once you’ll need to spin the first one a google amount around. Or better said you’ll need more energy than the entire known universe has to do that. That boggles my mind.

source: K

10 short optical illusion videos.

source: HN

The full Proceedings published by USENIX for the conference are available for download below. Individual papers can also be downloaded from the presentation page.

Penn told this story and it provided a perfect opportunity to demonstrate the difference between recollection/a story VS the real event as there was video of the event.

I liked this a lot. It’s a pretty good story, first of all. Penn’s version is believable and essentially accurate, but suffers from a few discrepancies.

In this paper, we introduce a framework that synthesizes the 3D Ken Burns effect from a single image, supporting both a fully automatic mode and an interactive mode with the user controlling the camera. Our framework first leverages a depth prediction pipeline, which estimates scene depth that is suitable for view synthesis tasks. To address the limitations of existing depth estimation methods such as geometric distortions, semantic distortions, and inaccurate depth boundaries, we develop a semantic-aware neural network for depth prediction, couple its estimate with a segmentation-based depth adjustment process, and employ a refinement neural network that facilitates accurate depth predictions at object boundaries. According to this depth estimate, our framework then maps the input image to a point cloud and synthesizes the resulting video frames by rendering the point cloud from the corresponding camera positions. To address disocclusions while maintaining geometrically and temporally coherent synthesis results, we utilize context-aware color- and depth-inpainting to fill in the missing information in the extreme views of the camera path, thus extending the scene geometry of the point cloud.

source: HN