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Category: robotics/AI – Page 682

The Transformative Potential of AGI — and When It Might Arrive | Shane Legg and Chris Anderson | TED

As the cofounder of Google DeepMind, Shane Legg is driving one of the greatest transformations in history: the development of artificial general intelligence (AGI). He envisions a system with human-like intelligence that would be exponentially smarter than today’s AI, with limitless possibilities and applications. In conversation with head of TED Chris Anderson, Legg explores the evolution of AGI, what the world might look like when it arrives — and how to ensure it’s built safely and ethically.

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The Big Backlash Against AI-Generated Art, Explained

Generative AI has sparked a tremendous backlash across the internet, as the early promise of the technology has been overshadowed by the wide range of problems it has introduced.

It’s true that no artist was asked if their work could be used to train these models. But even if the courts rule in favor of the machines, the practical application of the technology doesn’t seem worth the cost.

Generative AI is incredibly energy-intensive, surprisingly labor-intensive, and requires constant input — annotation — from human workers to keep it functional, lest it spiral into hallucinogenic nonsense.

Using ChatGPT for a playful Q&A session consumes an absurd amount of water; exchanging a mere 20 questions with the text generator is akin to pouring a 500ml bottle of clean freshwater down the drain.

The Transformative Potential of AGI — and When It Might Arrive

The Chinese automaker sold over 3 million clean energy vehicles, with Tesla reporting just 1.35 million in the first three quarters of the year.

Chinese electric vehicle company Build Your Dreams (BYD) is set to become the largest EV maker in 2023, overtaking Tesla for the second year in a row.

BYD’s strategy of manufacturing budget-friendly vehicles has facilitated its expansion not only within China but also in international markets.

Square Enix President States the Company Will Be ‘Aggressive in Applying AI’

Square Enix is using AI to increase productivity.

“In the short term, our goal will be to enhance our development productivity and achieve greater sophistication in our marketing efforts,” Kiryu continuted. “In the longer term, we hope to leverage those technologies to create new forms of content for consumers, as we believe that technological innovation represents business opportunities.”

On the publishing front, Kiryu reveals the company wants to “enable greater global collaboration and to promote the shift to digital.” The team hopes this will allow them to not only gives them the chance to “maximize our sales of new titles, but also to deliver our rich back catalog to more customers and in turn to expand the fan base for our Group’s intellectual properties (IPs).”

There is also a desire to put plans in place to ensure for easier and greater collaboration between the development and publishing teams at Square Enix in hopes this will make its “customers even happier than ever before.”

Does ai Have Agency?

Watch behind the scenes, get early access and join the private Discord by supporting us on Patreon: \
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/ mlstreettalk \
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DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya\
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Agency in the context of cognitive science, particularly when considering the free energy principle, extends beyond just human decision-making and autonomy. It encompasses a broader understanding of how all living systems, including non-human entities, interact with their environment to maintain their existence by minimising sensory surprise.\
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According to the free energy principle, living organisms strive to minimize the difference between their predicted states and the actual sensory inputs they receive. This principle suggests that agency arises as a natural consequence of this process, particularly when organisms appear to plan ahead many steps in the future. \
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Riddhi J. Pitliya is based in the computational psychopathology lab doing her Ph.D at the University of Oxford and works with Professor Karl Friston at VERSES. \
/ riddhijp \
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References:\
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THE FREE ENERGY PRINCIPLE—A PRECIS [Ramstead]\
https://www.dialecticalsystems.eu/con…\
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Active Inference: The Free Energy Principle in Mind, Brain, and Behavior [Thomas Parr, Giovanni Pezzulo, Karl J. Friston]\
https://direct.mit.edu/books/oa-monog…\
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The beauty of collective intelligence, explained by a developmental biologist | Michael Levin\
• The beauty of collective intelligence… \
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Growing Neural Cellular Automata\
https://distill.pub/2020/growing-ca\
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Carcinisation\
https://en.wikipedia.org/wiki/Carcini…\
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Prof. KENNETH STANLEY — Why Greatness Cannot Be Planned\
• #038 — Prof. KENNETH STANLEY — Why Gr… \
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On Defining Artificial Intelligence [Pei Wang]\
https://sciendo.com/article/10.2478/j…\
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Why? The Purpose of the Universe [Goff]\
https://amzn.to/4aEqpfm\
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Umwelt\
https://en.wikipedia.org/wiki/Umwelt\
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An Immense World: How Animal Senses Reveal the Hidden Realms [Yong]\
https://amzn.to/3tzzTb7\
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What’s it like to be a bat [Nagal]\
https://www.sas.upenn.edu/~cavitch/pd…\
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COUNTERFEIT PEOPLE. DANIEL DENNETT. (SPECIAL EDITION)\
• COUNTERFEIT PEOPLE. DANIEL DENNETT. (… \
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We live in the infosphere [FLORIDI]\
• WE LIVE IN THE INFOSPHERE [Prof. LUCI… \
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Mark Zuckerberg: First Interview in the Metaverse | Lex Fridman Podcast #398\
• Mark Zuckerberg: First Interview in t… \
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Black Mirror: Rachel, Jack and Ashley Too | Official Trailer | Netflix\
• Black Mirror: Rachel, Jack and Ashley… \
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Prof. Kristinn R. Thórisson\
https://en.wikipedia.org/wiki/Kristin…

Decoding the Black Box of AI — Scientists Uncover Unexpected Results

Artificial intelligence (AI) has been advancing rapidly, but its inner workings often remain obscure, characterized by a “black box” nature where the process of reaching conclusions is not visible. However, a significant breakthrough has been made by Prof. Dr. Jürgen Bajorath and his team, cheminformatics experts at the University of Bonn. They have devised a technique that uncovers the operational mechanisms of certain AI systems used in pharmaceutical research.

Surprisingly, their findings indicate that these AI models primarily rely on recalling existing data rather than learning specific chemical interactions for predicting the effectiveness of drugs. Their results have recently been published in Nature Machine Intelligence.

Which drug molecule is most effective? Researchers are feverishly searching for efficient active substances to combat diseases. These compounds often dock onto protein, which usually are enzymes or receptors that trigger a specific chain of physiological actions.

Two Space Stories In 2024 Will Determine The Future Of Humanity

A long-awaited space mission in the coming year could herald the start of a new era where so many science fiction dreams finally begin to cement themselves as science fact. But first we must pass a critical test of our own making that pits our technological expansion into orbit against the sun itself.

It’s not that difficult to predict what science stories we’ll be talking about over the next year: artificial intelligence, climate change and advances in biotechnology will remain front of mind. But there’s a pair of happenings just beyond our planet that I’ll be watching closely, because they amount to tests of a sort that could determine the trajectory of our species.

The first story you’ve probably already heard about. NASA aims to launch its Artemis II mission by the end of the year, carrying humans on a journey around the moon and back. This marks the first time anyone has traveled farther than low-earth orbit in more than 50 years.