Lifeboat Foundation

Do animals dream? Join David Peña-Guzmán as he explores behavioural and neuroscientific research on animal sleep with philosophical theories of dreaming. Watch the Q&A here: https://youtu.be/LpI7zNHUFRQ

David’s latest book ‘When animals dream: the hidden world of animal consciousness’ is available now: https://geni.us/YW7arw6
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Transhuman brains are the melding of hyper-advanced electronics and super-artificial intelligence (AI) with neurobiological tissue. The goal is not only to repair injury and mitigate disease, but also to enhance brain capacity and boost mental function. What is the big vision, the end goal — how far can transhuman brains go? What does it mean for individual consciousness and personal identity? Is virtual immortality possible? What are the ethics, the morality, of transhuman brains? What are the dangers?

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It’s not clear what, explicitly, human intelligence is or even how it originates. Ethics aside, there’s no way to decide who to save and who to throw away.

How ethical would aliens be?

Ethics derived from biological evolution can be harsh — parasitism, invasiveness, and survival at all costs. Ethics derived from human culture is far more benevolent. Would alien ethics be based more on biology or culture? Let’s hope the latter.

Posted on big think, direct weblink at.

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Biophysist and Biochemist Dr. Maximilian Plach talks about a groundbreaking new technology for editing genes, called CRISPR-Cas9. The tool allows scientists to make precise edits to DNA strands, which could lead to treatments for genetic diseases … but could also be used to create so-called “designer babies.” Max reviews how CRISPR-Cas9 works — and asks the scientific community to pause and discuss the ethics of this new tool. Max has earned his PhD in biophysics and computational biology at the University of Regensburg, Germany. He is now Chief Scientific Officer of 2bind, a dynamic and growing company focused on providing biophysical research services for biotech and pharma industries. It is therefore no wonder that Max closely follows the latest breakthroughs and developments in biotech and biomedical technology. He is a long viewer and listener of TED talks; the more exotic, the better. Or who doesn’t remember the talk about the world’s worst city flags? This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

Ammaar Reshi was playing around with ChatGPT, an AI-powered chatbot from OpenAI when he started thinking about the ways artificial intelligence could be used to make a simple children’s book to give to his friends. Just a couple of days later, he published a 12-page picture book, printed it, and started selling it on Amazon without ever picking up a pen and paper.

The feat, which Reshi publicized in a viral Twitter thread, is a testament to the incredible advances in AI-powered tools like ChatGPT—which took the internet by storm two weeks ago with its uncanny ability to mimic human thought and writing. But the book, Alice and Sparkle, also renewed a fierce debate about the ethics of AI-generated art. Many argued that the technology preys on artists and other creatives—using their hard work as source material, while raising the specter of replacing them.

Well… that’s me uninvited to the bioethicist’s christmas party…

Bioethicists frequently dictate what patients can and cannot do with their own bodies, and yet the general public very rarely questions this. Maybe it’s time we started to question what right bioethicists have to dictate what we can and cannot do with our own bodies?

Human preferences on any topic have become diverse. Coming up with a statement that the majority of the population agrees with seems to be a challenge. Researchers at DeepMind, an AI company, accepted this challenge, trained a large language model, and fine-tuned it. They have to assume that human preferences are static and homogeneous to build the model.

The model generates statements to maximize approval among a group of people with diverse preferences. The research team fine-tuned the 70 billion parameter model, which was provided by thousand moral and political questions, and human written responses were provided for those questions. Then a reward model was trained in order to give weight to different opinions. Their best model was able to achieve more than a 65 percent preference rate.

The model was very sensitive when they tested it by just feeding part of the responses of the group of people then, the rest of the people’s opinion, which was not included, had a significant variance. Thus, the individual contribution of each consensus is equally important. There are many complicated NLP tasks like reading comprehension, fluent language generation, etc., which helped form the foundations for this LLM.

https://lifearchitect.ai/sheets/
https://sheets.new/
https://beta.openai.com/account/api-keys.

Mentioned in this stream:
https://jalammar.github.io/how-gpt3-works-visualizations-animations/
https://c4-search.apps.allenai.org/?q=%22James+Gosling%22
https://beta.openai.com/codex-javascript-sandbox.
https://lifearchitect.ai/leta/#prompt.
https://galactica.org/explore/
https://lifearchitect.ai/roadmap/

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