A new AI-assisted chatbot that can generate eerily fluent prose is only the latest in a long series of useful tech accessories.
Category: robotics/AI – Page 1,160
The Memo: https://lifearchitect.ai/memo/
Read the paper: https://arxiv.org/abs/2212.08073
GitHub repo: https://github.com/anthropics/ConstitutionalHarmlessnessPaper/tree/main/samples.
Chapters:
0:00 Opening.
3:59 Demonstration.
11:26 Explanation.
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.
Music:
Under licence.
Liborio Conti — Looking Forward (The Memo outro)
What is ChatGPT Professional?
Posted in robotics/AI
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📝 The paper “Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback” is available here:
https://www.deepmind.com/blog/building-interactive-agents-in-video-game-worlds.
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DeepMind brought artificial intelligence mainstream. Now its CEO Demis Hassabis is issuing a warning.
HelloScribe’s powerful AI writing and brainstorming tools help Marketing, Advertising, and PR Professionals to do their best work 10x faster.
Victoria Krakovna is a Research Scientist at DeepMind working on AGI safety and a co-founder of the Future of Life Institute, a non-profit organization working to mitigate technological risks to humanity and increase the chances of a positive future. In this interview we discuss three of her recent LW posts, namely DeepMind Alignment Team Opinions On AGI Ruin Arguments, Refining The Sharp Left Turn Threat Model and Paradigms of AI Alignment.
Transcript & Audio: https://theinsideview.ai/victoria.
Host: https://twitter.com/MichaelTrazzi.
Victoria: https://twitter.com/vkrakovna.
DeepMind Alignment Team On AGI Ruin arguments: https://www.lesswrong.com/posts/qJgz2YapqpFEDTLKn/deepmind-a…-arguments.
Refining the Sharp Left Turn Threat Model: https://www.lesswrong.com/posts/usKXS5jGDzjwqv3FJ/refining-t…claims-and.
Paradigms of AI Alignment: https://www.lesswrong.com/posts/JC7aJZjt2WvxxffGz/paradigms-…d-enablers.
This conversation presents Victoria’s personal views and does not represent the views of DeepMind as a whole.
Biorealistic organic electrochemical neurons enabled by ion-tunable antiambipolarity in mixed ion-electron conducting polymers.
An artificial organic neuron that closely mimics the characteristics of biological nerve cells has been created by researchers at Linköping University (LiU), Sweden. This artificial neuron can stimulate natural nerves, making it a promising technology for various medical treatments in the future.
Work to develop increasingly functional artificial nerve cells continues at the Laboratory for Organic Electronics, LOE. In 2022, a team of scientists led by associate professor Simone Fabiano demonstrated how an artificial organic neuron could be integrated into a living carnivorous plant to control the opening and closing of its maw. This synthetic nerve cell met 2 of the 20 characteristics that differentiate it from a biological nerve cell.
A common idea that our creativity is what makes us uniquely human has shaped society but strides of progress made in the domain of Generative Artificial Intelligence question this very notion. Generative AI is an emerging field that involves the creation of original content or data using machine learning algorithms.
As we think about a future where humans and AI partner in iterative creative cycles, we consider how generative AI could impact current businesses and possibly create new ones. Up until recently, machines were relegated to analysis and cognitive roles, but today algorithms are improving at generating original content. These technologies are iterative in principle, one is built on top of the last one, and each new iteration enhances the algorithm and increases the potential for discovery exponentially.
The technology presents itself as a more refined and mature breed of AI that has sent investors into a frenzy and among all this emerges a clear market leader — OpenAI. Its flagship products-ChatGPT and DALL-E proved to be industry disruptors and brought generative AI tools to the masses. DALL-E allows people to generate and edit photo-realistic images simply by describing what they want to see, while ChatGPT does the same through a text medium.
Startups implementing generative AI are already attracting big, early-stage rounds at hefty valuations — with little evidence they can become profitable.