Welcome to one of the world’s most remote construction projects.
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This week our guest academic philosopher, Susan Schneider, who is the founding director for the Center for the Future Mind at Florida Atlantic University, as well as the author of the 2019 book, Artificial You: AI and the Future of Your Mind. In this episode we focus heavily on Susan’s thoughts, hopes, and concerns surrounding the current conversations regarding artificial intelligence. This includes, but is certainly not limited to, the philosophical and ethical questions that AI presents in general, the feasibility of mind uploading and machine consciousness, the ways we may end up outsourcing our decision making to machines, how we might merge with machines, and how these potential tech futures might impact identity and sense of self. You can learn more about Susan at schneiderwebsite.com, and find out how to get involved with her work at fau.edu/future-mind ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.
41 MINS
Using GPT-3, Calamity AI developed a short film script called Date Night. GPT-3 is the third generation Generative Pre-trained Transformer, is a neural network ML model trained using internet data to generate any type of text. GPT-3 has been used to create articles, poetry, stories, news reports, and dialogue using just a small amount of input text that can be used to produce large amounts of quality content. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text.
Enter Calamity AI, a pair of film students in California collaborating with an AI to write original short films and produce for YouTube. It aims to showcase the results of AI and humans working in tandem. The limitations of artificial intelligence restrict it from doing every element of the filmmaking process.
A machine-learning algorithm that includes a quantum circuit generates realistic handwritten digits and performs better than its classical counterpart.
Machine learning allows computers to recognize complex patterns such as faces and also to create new and realistic-looking examples of such patterns. Working toward improving these techniques, researchers have now given the first clear demonstration of a quantum algorithm performing well when generating these realistic examples, in this case, creating authentic-looking handwritten digits [1]. The researchers see the result as an important step toward building quantum devices able to go beyond the capabilities of classical machine learning.
The most common use of neural networks is classification—recognizing handwritten letters, for example. But researchers increasingly aim to use algorithms on more creative tasks such as generating new and realistic artworks, pieces of music, or human faces. These so-called generative neural networks can also be used in automated editing of photos—to remove unwanted details, such as rain.
The recent James Webb Space Telescope(JWST) guide camera’s test image looks really similar to Hubble’s deep fields, which are my favorite. I decided to take a long exposure to the same target to see what my telescope can see and compare it to JWST’s image. I found one really faint galaxy 26–32 million light-years away, and a cute planetary nebula called Abell 39, pause and see if you can find it in my image.
- Scope: Celestron RASA 8.
- Mount: Ioptron cem40.
- Camera: ZWO ASI183mm pro.
- Guide scope: ZWO mini120mm.
- Guide Camera: ZWO ASI224mc.
- Filter: Astronomik MaxFR 12nm Ha filter.
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Quite the inspirational week this one with the complete set of JWST First Images. Loads of Starship and Starbase news. Last week I mentioned that it was fire time for Starbase, and…WOW… I was not wrong there. SpaceX’s Starship Booster 7 has gone for repair after explosion. Falcon 9 launches for both Starlink and finally CRS-25. We also had the very first launch of Vega C. Rocket Lab firing off another Electron, and more. So enough of this intro. Let’s crack on with it!
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The work was discovered on the back of another of the artist’s paintings in a Scottish gallery.
Mr. Shadow is a song composed with Artificial Intelligence. It was created by Flow Machines, a technology that learns different music styles and then makes up its own songs based on what it’s been fed. Although the voice in the song sounds peculiar at times, I could have easily been fooled into thinking a person made this song. You can download Flow Machines onto your apple device to make your own AI music.
Force fields are a staple of science fiction, but usually regarded as only science fiction, not science fact. Today we’ll examine the notion and see what options we might have inside known science, as well as what alternatives might achieve similar effects.
See Hydrodynamic levitation at Cody’s Lab:
