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Twenty-Five Eye-Opening 2023 Predictions About Generative AI And ChatGPT Including A Splash Of AI Ethics And AI Law Tossed In

Bigger, better, and badder. That’s the overall gist of what is going to happen with Artificial Intelligence (AI) throughout the upcoming year of 2023.


What is going to happen with generative AI and ChatGPT in 2023? Here’s your answer. Filled with lots of helpful background and insights. Start the new year armed with the latest on where AI is heading.

The hidden world of animal consciousness — with David Peña-Guzmán

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
Subscribe for regular science videos: http://bit.ly/RiSubscRibe.

Are humans the only dreamers on Earth? Dreams provide an invaluable window into the cognitive and emotional lives of nonhuman animals, giving us access to a seemingly inaccessible realm of human experience. From suggestions that many animals run ‘reality simulations’ while asleep to the profound implications for contemporary debates about animal cognition, ethics, and rights.

In this talk, discover a convincing case for animals as conscious beings and examine the thorny scientific, philosophical and ethical questions it raises.

This livestream was recorded on 28 July 2022.

David Peña-Guzmán received his PhD in Philosophy from Emory University in 2015. His dissertation, ‘The rational turn in continental philosophy: Bachelard, Canguilhem, Foucault’, is an interrogation of the school of historical epistemology that appeared in France sometime between the 1920s and the 1950s.

Max Tegmark — Transhuman Brains?

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?

Free access to Closer to Truth’s library of 5,000 videos: http://bit.ly/376lkKN

Support the show with Closer To Truth merchandise: https://bit.ly/3P2ogje.

Watch more interviews on transhuman brains: https://bit.ly/3Wb7yRm.

Max Tegmark is Professor of Physics at Massachusetts Institute of Technology. He holds a BS in Physics and a BA in Economics from the Royal Institute of Technology in Sweden. He also earned a MA and PhD in physics from University of California, Berkeley.

Register for free at CTT.com for subscriber-only exclusives: http://bit.ly/2GXmFsP

How CRISPR lets us take the next step in evolution | Max Plach | TEDxOTHRegensburg

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.

He Made A Children’s Book Using AI. Artists Are Not Happy

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.

Researchers at DeepMind Created a 70B Parameter Language Model that Generates Statements Aligned with Humans with Diverse Viewpoints

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.

GPT-3 + Sheets — LifeArchitect.ai LIVE

GPT-3 and Google 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.

The GPT-3 Leta video series


https://galactica.org/explore/

Roadmap: AI’s next big steps in the world

The Memo: https://lifearchitect.ai/memo/

Inside language models (from GPT to Nova)

Dr Alan D. Thompson is a world expert in artificial intelligence (AI), specialising in the augmentation of human intelligence, and advancing the evolution of ‘integrated AI’. Alan’s applied AI research and visualisations are featured across major international media, including citations in the University of Oxford’s debate on AI Ethics in December 2021.

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