Available to watch now, the IOP Publishing journal, JPhys Materials, discusses the very latest research within the sustainable materials community and...
Microsoft is reportedly in advanced talks with OpenAI to invest more in the seven-year-old research company.
Both The Wall Street Journal and The Information, citing...
Arxiv – Deepmind introduces GATO, a generalist AI agent, which could be a path to AGI, Artificial General Intelligence.
Inspired by progress in large-scale language...
Elon Musk believes 2029 is the year we can achieve both AGI (Artificial General Intelligence) and humans on Mars.
Clearly, Elon believes Teslabot will be...
The deployment of powerful AI systems has enriched our understanding of safety and misuse far more than would have been possible through research alone. Notably:
API-based language model misuse often comes in different forms than we feared most.
We have identified limitations in existing language model evaluations that we are
Jaron Lanier is a computer system scientist, composer, artist, writer, and founder of the discipline of digital truth. Make sure you help this podcast by checking out our sponsors: … source
In the part one of this article we discussed about the general understanding of AI divided as ANI and AGI, ANI’s adoption and influence in the copyright law, and complexities arising out of the adoption of ANI while generating copyrightable works. Further, let us understand the intricacies involved in the examination of ANI. What could happen if ANI generated works are granted copyright protection, and other complexities that could arise if ANI is left unsupervised.