Would hope this means we dont Need to reverse engineer and are done w/ the brains of insects. From here, id like to see done in about following order, reverse engineer brains of: 1. Mice, 2. Lab Rats, 3. Crows (small brains, but supposedly smarter than chimps) 4. Octopi, 5. Pigs, 6. Chimps, and 7. and end on the human brain. Would hope we can do work on each in the build up to human brains, mainly tec it will require to reverse engineer all mentioned. Maybe it leads no where, or maybe we need it all to solve Agi. Also, aim for completion by 12/31/2029. Wanted to add, i believe should be an international effort: US, Canada, EU, Israel, Korea, Japan, etc… instead of just being a US project.

By Anne J. Manning Harvard Staff Writer.

Date September 26, 2023 September 27, 2023.

Google has introduced a range of training resources centered on generative AI.

Two comprehensive learning paths are now available on Google Cloud Skills Boost.

An “Introduction to Generative AI” path contains introductory, non-technical courses suited for sales, marketing, HR, and operations roles.

As Tesla’s Optimus robot shows off new capabilities in pick ‘n’ place sorting and one-legged yoga balancing, Singaporean company Fourier Intelligence has released new video showing the production process for its super-strong GR-1 humanoid.

Fourier claims the GR-1 can carry up to an extraordinary 50 kg (110 lb) of weight, thanks to a particularly beefy pair of robo-buttocks in the form of two 300-Nm (221-lb-ft) hip actuators.

Its arms and hands, though, look pretty spindly, and the company has flagged its intention that this robot will act as a rehab therapy assistant, with grab handles at its waist to help people stand up out of wheelchairs and beds. So there’s every chance that’s where these loads will be carried.

Be-easy / Canva.

OpenAI reported that the company will begin rolling out the new voice and image capabilities in ChatGPT over the next two weeks. The features are devised to be user-friendly, enabling individuals to engage in voice conversations and visually demonstrate the subjects of concern to ChatGPT.

In the ever-evolving landscape of artificial intelligence and natural language processing, one phenomenon has taken center stage like never before is the large language model. These creations, infused with billions of parameters and fuelled by vast data repositories, are transforming the way we interact with machines. As this field has begun to take over the Software engineering industry, understanding the technology and diving deep into its nuances becomes paramount.

In this blog, we will do a deep dive into the pieces and components inside a Large Language Model.

Summary: Researchers delved into how ChatGPT influences user decision-making, focusing on the ‘choice overload’ phenomenon. This condition emerges when an individual is overwhelmed by numerous options, often leading to decision paralysis or dissatisfaction.

The study found, however, that users preferred larger numbers of recommendations from ChatGPT over those from humans or online agents, appreciating the perceived accuracy of the chatbot’s suggestions. This points towards a new paradigm where AI-generated options might enhance decision-making processes across various industries.