BritFloyd
Do you feel you were robbed because you were born too early to catch Pink Floyd live concerts? Brit Floyd is probably the closest you’ll ever get to experiencing them live. The sound is nearly perfect. I hope I can see them.
Do you feel you were robbed because you were born too early to catch Pink Floyd live concerts? Brit Floyd is probably the closest you’ll ever get to experiencing them live. The sound is nearly perfect. I hope I can see them.
Staying on top of the latest shows, music, bands, plays, and events in your area often involves digging around on lots of venue sites. It’s time consuming and error prone. I definitely have missed some of my favorites when they came into town – only to hear about the show a month later.
Besides the really cool app NearHear that finds local shows within a radius of you, Portland Theater website also offers a very comprehensive list of shows so you don’t have to dig around on various venue websites only to find out the show you wanted to go to was sold out days ago.
Anyone who’s done any OpenGL graphics is familiar with the ubiquitous Utah teapot. It’s been a staple in everything from OpenGL to Pixar movies to countless other shows.

As the story goes, Martin Newell needed a simple mathematical model of a familiar object. His wife suggested modelling their tea set since they were sitting down for tea at the time. He sketched the teapot free-hand using graph paper and a pencil. Following that, he went back to the computer laboratory and edited bézier control points on a Tektronix storage tube system, again by hand.
The teapot shape contained a number of elements that made it ideal for the graphics experiments of the time: it was round, contained saddle points, had a genus greater than zero because of the hole in the handle, could project a shadow on itself, and could be displayed accurately without a surface texture.

The good news is that that now you can own your own. The original teapot was made by the German company Friesland. Apparently they were not aware of how famous their teapot had become, but restarted production – even giving it the ‘Utah’ name.
If you want to own your own Friesland Teekanne 1,4l Weiß Utah Teapot – just go to their website and order one today! The original teapot was the white 1.4L model – but other sizes and colors are available.
Update Jan 2024:
A great tragedy. It appears the Friesland factory that made the teapots was destroyed in a major fire.
On June 29, 2023, decades of German porcelain history and tradition were destroyed during a major fire on our company premises. For this reason, we are unfortunately unable to supply you with any of our old series pieces. It was simply: EVERYTHING was destroyed .
However, we are looking forward optimistically and are doing everything we can to build a new factory at the old Varel location. Parts of our popular series Jeverland white, Ecco and La Belle as well as the Walküre series Alta and NYNY are already partially available again.
I sent them an email and asked if they would have the teapots back in stock. There is no eta on when it, or any of their legacy series, will ever come back. Here was their response:
From: Service | Frieslandversand.de
Date: Jan 5, 2024, 12:43 AMDear Mr. Fife,
[Until now] we don`t know when this year we are able
to deliver the teapots. Until now we don`t have a production
here after the great fire in June and we are making test at other sites
in Germany for the production of these articles.With kind regards
The team of Friesland-Porzellan
Links:
The new nVidia 4000 series cards are out – and at least part of the hyperbole about them is true. Jensen declares Moore’s law is dead to justify the high prices (it certainly couldn’t be because they’ve not kept up with new chiplet design that both AMD and Intel use to reduce power, heat, and cost). They have gigantic heat sinks that means they require at least 3.15 slots (bigger ones require 4 full slots) and have power requirements that are melting power cables.
But nVidia is late to the game. Meet the king of 90’s graphics! The BitchinFast 3D 2000! There’s even a great video review of this fictional monster along with a Bungholiomarks test run. I give this guy full credit for taking this card to the max.
It even came with a great advertisement that touted it’s amazing Bungholio marks scores.

The song isn’t particularly catchy, but filmmaker Adam Chitayat collected thousands of Google Maps Street View images which he used to build a music video for the track Out Sailing.
Cassie the robot is no Usain Bolt, but did established a Guinness World Record for the fastest 100 meters by a bipedal robot. The historic time of 24.73 seconds was achieved by starting from a standing position and returning to that position after the sprint with no falls. Though staying in your lane was apparently optional.
Cassie was invented at the Oregon State University College of Engineering and produced by Agility Robotics. This achievement was accomplished through robot learning and almost a year of simulation, condensed down to a matter of weeks.
Last week, Swiss software engineer Matthias Bühlmann discovered that the popular image synthesis model Stable Diffusion could compress existing 2D images with fewer visual artifacts than JPEG or WebP at high compression ratios, though there are some important limitations.
When Stable Diffusion analyzes and “compresses” images into weight form, they reside in what researchers call “latent space,” which is a way of saying that they exist as a sort of fuzzy potential that can be realized into images once they’re decoded. With Stable Diffusion 1.4, the weights file is roughly 4GB, but it represents knowledge about hundreds of millions of images.
While most people use Stable Diffusion with text prompts, Bühlmann cut out the text encoder and instead forced his images through Stable Diffusion’s image encoder process, which takes a low-precision 512×512 image and turns it into a higher-precision 64×64 latent space representation. At this point, the image exists at a much smaller data size than the original, but it can still be expanded (decoded) back into a 512×512 image with fairly good results.

Bühlmann’s method currently comes with significant limitations. It’s not good with faces or text, and in some cases, it can inject detail features in the decoded image that were not present in the source image. (You probably don’t want your image compressor inventing details in an image that don’t exist.) Also, decoding requires the 4GB Stable Diffusion weights file and extra decoding time that are inherent with Stable Diffusion.
Not the first time that AI has been explored as a method of compression as much as generation. Daniel Holden of Ubisoft presented an astounding paper at GDC in 2018 about using neural nets to compress animation data used in video game character animation.
Links:
Some adults share things they think teens aren’t ready to hear – but it is actually some solid advice for all ages. Do you have some of your own to add?


Jason Allen spent roughly 80 hours working on his entry to the Colorado State Fair’s digital arts competition. Judges awarded him first place, which came with a $300 prize.
Allen’s victory took a turn when he revealed online that he’d created his prize-winning art using Midjourney, an artificial intelligence program that can turn text descriptions into images.
The revelation (which he made even when he dropped off the submission) has sparked intense debate as to what constitutes art – to the point that it’s spawned people saying it’s the death of art. As AI enters each field, and then soon does better than even the best people (which we’ve seen time and again), we’re going to have to re-think society and work. When everyone can use AI tools to make the best of anything in the world – it’s going to have profound impact on everything.
I suspect we’ll see this in our lifetimes based on the current rate of AI growth and capabilities. I, like many others, wonder if we’ll survive it.
Read more about the controversy on the Smithsonian website.
Saildrone Explorer SD 1078 is an unmanned wave-rider that dove into the heart of Hurricane Fiona in the Atlantic Ocean this week. It sent back some wild video as it battled 50-foot (15-meter) waves and winds in excess of 100 mph (160 km/h).

These little Saildrones are increasingly sailing around the world’s oceans collecting valuable data. Below is SD 1078’s eerie video from inside Hurricane Fiona.