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A new Star Trek spinoff follows the adventures of Captain Jeff Bezos (Owen Wilson) and his brother (Luke Wilson).

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2030’ish: on demand books, movies, TV shows, video games, etc…


In the ever-increasing list of things that machine learning AI can do in our modern world, there’s now a program that will code (or at least, try to code) whatever you tell it to in plain English. Want some flashy banner text that changes color every few seconds? Tell that to OpenAI Codex and it will code it for you in seconds. The OpenAI Codex beta, currently only available through an online waiting list, is a simple web tool with three windows: one to type in commands, one that shows the code generated by those commands, and one that shows what the code does. You could theoretically use Codex for all sorts of tasks in over a dozen coding languages, but the coolest use I’ve seen is coding simple Javascript videogames with just a handful of natural language instructions. Check out the video below from YouTuber Joy of Curiosity to see it in action.

https://www.youtube.com/watch?v=81rBzfbFLiE&t=4s

I predicted that by 2030 you would be able to tell an AI assistant to build brand new books, movies, TV, video games, etc… on demand. That has now arrived, although in its Very Early stages. Look forward to building whatever media you want, or changing existing media into whatever you want.

“OpenAI Codex: Just Say What You Want!”


❤️ Check out Perceptilabs and sign up for a free demo here: https://www.perceptilabs.com/papers.

📝 The paper “Evaluating Large Language Models Trained on Code” is available here:
https://openai.com/blog/openai-codex/

Codex tweet/application links:
Explaining code: https://twitter.com/CristiVlad25/status/1432017112885833734
Pong game: https://twitter.com/slava__bobrov/status/1425904829013102602
Blender Scripting: https://www.youtube.com/watch?v=MvHbrVfEuyk.

GPT-3 tweet/application links:
Website layout: https://twitter.com/sharifshameem/status/1283322990625607681
Plots: https://twitter.com/aquariusacquah/status/1285415144017797126?s=12
Typesetting math: https://twitter.com/sh_reya/status/1284746918959239168
Population data: https://twitter.com/pavtalk/status/1285410751092416513
Legalese: https://twitter.com/f_j_j_/status/1283848393832333313
Nutrition labels: https://twitter.com/lawderpaul/status/1284972517749338112
User interface design: https://twitter.com/jsngr/status/1284511080715362304

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Have you missed the SR Academy Webinar with Seth Shostak of the SETI Institute?

Here you can watch the complete video, including the discussion after the lecture:

A beautiful excursus on the mission, activities and goals of Search for Extra Terrestrial Intellogence, directly from the source!

Seth Shostak is currently the senior astronomer for the SETI Institute. Shostak hosts SETI’s weekly radio show/podcast Big Picture Science, has played himself numerous times in TV and internet film dramas, and has acted in several science fiction films.

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Beth Johnson gives a lecture on SETI Institute and Art in Residence Program.

This novel material was made using a process that the team developed called a “float assembly method.” The float assembly takes advantage of the Marangoni effect, which occurs in two liquid phases with different surface tensions. When there is a gradient in surface tension, a Marangoni flow is generated away from the region with lower surface tension towards the region with higher surface tension. This means that dropping a liquid with lower surface tension on the water surface lowers the surface tension locally, and the resulting Marangoni flow causes the dropped liquid to spread thinly across the surface of the water.

The nanomembrane is created using a float assembly method which consists of a three-step process. The first step involves dropping a composite solution, which is a mixture of metal nanowires, rubber dissolved in toluene, and ethanol, on the surface of the water. The toluene-rubber phase remains above the water due to its hydrophobic property, while the nanowires end up on the interface between the water and toluene phases. The ethanol within the solution mixes with the water to lower the local surface tension, which generates Marangoni flow that propagates outward and prevents the aggregation of the nanowires. This assembles the nanomaterials into a monolayer at the interface between water and a very thin rubber/solvent film. In the second step, the surfactant is dropped to generate a second wave of Marangoni flow which tightly compacts the nanowires. Finally, in the third step, the toluene is evaporated and a nanomembrane with a unique structure in which a highly compacted monolayer of nanowires is partially embedded in an ultrathin rubber film is obtained.

Its unique structure allows efficient strain distribution in ultrathin rubber film, leading to excellent physical properties, such as a stretchability of over 1,000%, and a thickness of only 250 nm. The structure also allows cold welding and bi-layer stacking of the nanomembrane onto each other, which leads to a metal-like conductivity over 100,000 S/cm. Furthermore, the researchers demonstrated that the nanomembrane can be patterned using photolithography, which is a key technology that is widely used for manufacturing commercial semiconductor devices and advanced electronics. Therefore, it is expected that the nanomembrane can serve as a new platform material for skin electronics.

Back in August of 2017, Cassini stared at Enceladus for 14 hours, looking at the moon’s night side.


Below is a movie sequence of images, garnered from the final dedicated observation of the Enceladus’ geysers by the imitable Cassini spacecraft.

Back in August of 2,017 Cassini stared at Enceladus for 14 hours, looking at the moon’s night side. The movie begins with a view of the part of the surface lit by reflected light from Saturn and transitions to completely unilluminated terrain. About halfway through the sequence, the exposure time of the images changes in order to make fainter features more visible as the light level drops.

For gamers out there. 😃


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China has now pushed back on conducting the second phase of probe into Covid origin row. WHO had urged China to share raw data from the earliest cases to revive its probe on Covid origin. The lab-leak theory leading to the pandemic has gained much traction in recent months. China has rejected the idea of another investigation, saying that it disregards common sense and defies science.
#ChinaLabLeakTheory #ChinaCovidProbe #WHO #CovidOriginStory.

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