life inspired

Loved this piece by Melanie Mitchell: "I’d guess that it’s actually our human limitations [...] and complex environments that require us to form more abstract and generalizable internal models." Her thinking is very much in line with Pattee's and Rosen's concept of internal models, especially the former's notion of "selective loss of detail.

Labels: #AI, #InternalModels, #LLM, #modeling

A new take on Ai, is "Wet" AI using organoids and other sythetic biology methods. "We anticipate OI-based biocomputing systems to allow faster decision-making, continuous learning during tasks, and greater energy and data efficiency. Furthermore, the development of “intelligence-in-a-dish” could help elucidate the pathophysiology of devastating developmental and degenerative diseases (such as dementia), potentially aiding the identification of novel therapeutic approaches to address major global unmet needs." Full article @ Frontiers in Science. Thank you Xuanchi Li for the article.

Labels: #AI, #Brain, #organoids, #SyntheticBiology

"Four leading researchers share their concerns and solutions for reducing societal risks from intelligent machines." News article @ Robotics: Ethics of artificial intelligence

Labels: #AI, #Ethics

"Though they started at opposite ends of the socioeconomic spectrum, McCulloch and Pitts were destined to live, work, and die together. Along the way, they would create the first mechanistic theory of the mind, the first computational approach to neuroscience, the logical design of modern computers, and the pillars of artificial intelligence." Full article @ Nautilus

Labels: #AI, #Cybernetics