Born in a Void (2016)
A being, born in a void, becomes obsessed with it's own reflection. Making of - https://medium.com/@joyybox/making-born-in-a-void-85e43d3376ec Born in a Void…
max starter pack / canon
A Grand Day Out - Wikipedia
A Grand Day Out with Wallace and Gromit, later marketed as A Grand Day Out, is a 1989 British stop-motion animated short film starring Wallace and Gromit. It was directed, co-written, and animated by Nick Park at the National Film and Television School in Beaconsfield and Aardman Animations in Bristol.
Youtube duet: Miles Davis improvising on LCD Soundsystem
No editing or other tricks, just 2 youtube videos played at the same time.
Follow me here http://www.instagram.com/grespam/
and find here http://www.alessandrogrespan.me other stuff I make at night when I don't sleep.
Want to try it yourself?
Here's the LCD Soundsystem clip http://www.youtube.com/watch?v=-eohHwsplvY
And here's the Miles Davis clip http://www.youtube.com/watch?v=E-XVlrauLxc
Start the Davis clip at :32 on the LCD Soundsystem clip.
This video was created in a spontaneous randomly perfect collaboration with my ex flatmate and secret lover Eleonora while we were wasting too much time on the internet, in our living room in Shoreditch, London.
Formality Considered Harmful
Patrick McKenzie on Twitter
A high leverage pattern I see over and over again: designing processes/tools/etc such that they capture implicit knowledge and make it explicit, legible, and enduring.
Learning representations of life
personal website
Pauling’s models were not merely a visualization tool to help him build intuitions for the molecular configurations of peptides. Rather, his models were precisely machined analog computers that allowed him to empirically evaluate hypotheses at high speed.
Over time, our questions began to veer into the realm of complex systems that are less amenable to analytical modeling, and molecular biology became more and more of an experimental science.
Machine learning tools are only now enabling us to regain the model-driven mode of inquiry we lost during that inflection of complexity.
In their first such proposal, Rosalind Franklin highlighted something akin to a software error – the modelers had failed to encode a chemical rule about the balance of charges along the sugar backbone of DNA and proposed an impossible structure as a result.
Only when they built the model and found that the resulting “bulges” were incompatible with chemical rules did Watson and Crick realize that heterotypic pairs – our well known friends A to T, C to G – not only worked structurally, but confirmed Edwin Chargaff’s experimental ratios4.
These essential foundations of molecular biology were laid by empirical exploration of evidence based models, but they’re rarely found in our modern practice. Rather, we largely develop individual hypotheses based on intuitions and heuristics, then test those hypotheses directly in cumbersome experimental systems.
The inductive bias guiding most experiments was that high-level biological phenomena – heredity, differentiation, development, cell division – could be explained by the action of a relatively small number of molecules.
John von Neumann […] asked, How does one state a theory of pattern vision? And he said, maybe the thing is that you can’t give a theory of pattern vision – but all you can do is to give a prescription for making a device that will see patterns!
In other words, where a science like physics works in terms of laws, or a science like molecular biology, to now, is stated in terms of mechanisms, maybe now what one has to begin to think of is algorithms. Recipes. Procedures. – Sydney Brenner9
By exploring these representations and model behaviors, we can extract insights similar to those gained from testing atomic configurations with a carefully machined structure.
One beautiful aspect of this approach is that the learned representations often reveal relationships between the observations that aren’t explicitly called for during training. For instance, our cell type classifier might naturally learn to group similar cell types near one another, revealing something akin to their lineage structure.
If we continue to explore the learned representation of our cell type classifier, we can use it to test hypotheses in much the same way Pauling, Crick, and countless others tested structural hypotheses with mechanical tools.
Regardless of how incorrect rules find their way into either type of model, the remedy is the same. Models are tools for hypothesis exploration and generation, and real-world experiments are still required for validation.
The main distinction is how those rules are encoded.
This distinction of how rules are derived is then rather small in the grand scheme.
Upgrade your cargo cult for the win | Meta-rationality
Richard Feynman derided “cargo cult science” that sticks to fixed systems. Innovation requires an upgrade to fluid, meta-systematic inquiry.
Canvas Cycle: True 8-bit Color Cycling with HTML5
Why books don't work
Designing media to reflect how people think and learn
Mindstorms
In this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to...
jsomers.net | I should have loved biology
In biology class, biology wasn't presented as a quest for the secrets of life. The textbooks wrung out the questing.
Designing Fluid Interfaces - WWDC 2018 - Videos - Apple Developer
Discover the techniques used to create the fluid gestural interface of iPhone X. Learn how to design with gestures and motion that feel...
The Secret of Kells (2009) - IMDb
The Secret of Kells: Directed by Tomm Moore, Nora Twomey. With Evan McGuire, Christen Mooney, Brendan Gleeson, Mick Lally. A young boy in a remote medieval outpost under siege from barbarian raids is beckoned to adventure when a celebrated master illuminator arrives with an ancient book, brimming with secret wisdom and powers.
Ficciones - Wikipedia
The Secret Miracle - Wikipedia
Thought as a Technology
Papert - What's the Big Idea.pdf
Ted Nelson, The Crafting of Media
Dave Made a Maze (2017) - IMDb
Dave Made a Maze: Directed by Bill Watterson. With Meera Rohit Kumbhani, Nick Thune, Adam Busch, James Urbaniak. Dave, an artist who has yet to complete anything significant in his career, builds a fort in his living room out of pure frustration, only to wind up trapped by the fantastical pitfalls, booby traps, and critters of his own creation.
(3) GOROGOA - Official Launch Trailer - Nintendo Switch - YouTube
GOROGOA is an elegant evolution of the puzzle genre, told through a beautifully hand-drawn story designed and illustrated by Jason Roberts. Coming to Nintendo Switch on December 14. Learn more about Gorogoa here: http://gorogoa.com #Gorogoa #NintendoSwitch Subscribe for more Nintendo fun! https://goo.gl/HYYsot Visit Nintendo.com for all the latest! http://www.nintendo.com Like Nintendo on Facebook: http://www.facebook.com/Nintendo Follow us on Twitter: http://twitter.com/NintendoAmerica Follow us on Instagram: http://instagram.com/Nintendo Follow us on Pinterest: http://pinterest.com/Nintendo