AI startup Reka unveils Yasa-1, a multimodal AI assistant that could rival OpenAI’s ChatGPT.

AI startup Reka, founded by researchers from DeepMind, Google, Baidu, and Meta, has announced Yasa-1, a multimodal AI assistant that can understand and interact with text, images, video, and audio.

The assistant is available in private beta and competes with, among others, OpenAI’s ChatGPT, which has received its own multimodal upgrades with GPT-4V and DALL-E 3. Reka’s team says it has been involved in the development of Google Bard, PaLM, and Deepmind Alphacode, to name a few.

Scientists have discovered new insights into how our brain stores episodic memories—a type of long-term, conscious memory of a previous experience—that could be critical to the development of new neuroprosthetic devices to help patients with memory problems, like Alzheimer’s disease and dementia.

The new study—led by the University of Glasgow, in collaboration with the University of Birmingham and University of Erlangen—used special electrodes, implanted directly into the brains of epilepsy patients requiring surgery, to allow scientists to observe the activity of individual neurons in the hippocampus region of the brain.

The hippocampus is a challenging area to study, due to its location deep within the brain, yet this area is critical for our memory, acting as the librarian to the memory library in our brain.

Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics. They also found that classical training algorithms that date back 50 years work better than the more recently popular techniques. Their simpler approach advances green IT and is easier to use and understand.

The recent success of artificial intelligence is significantly based on the use of one core technique: deep learning. Deep learning refers to artificial intelligence techniques where networks with a large number of data processing layers are trained using massive datasets and a substantial amount of computational resources.

Deep learning enables computers to perform complex tasks such as analyzing and generating images and music, playing digitized games and, most recently in connection with ChatGPT and other generative AI techniques, acting as a natural language conversational agent that provides high-quality summaries of existing knowledge.

Modular forms are one of the most beautiful and mysterious objects in mathematics. What are they?

It was already on the way out due to cost. AI just sped it all up.

In an AI world, job applicants’ actual skill sets will matter more than diplomas, LinkedIn says.

Im still at: Agi 2029, poss sooner. And ASI in 2035.

SoftBank CEO Masayoshi Son said at a conference that AI could surpass human intelligence within the next 10 years. See details, here.

“Wish I had this to cite,” lamented Jacob Andreas, a professor at MIT, who had just published a paper exploring the extent to which language models mirror the internal motivations of human communicators.

Jan Leike, the head of alignment at OpenAI, who is chiefly responsible for guiding new models like GPT-4 to help, rather than harm, human progress, responded to the paper by offering Burns a job, which Burns initially declined, before a personal appeal from Sam Altman, the cofounder and CEO of OpenAI, changed his mind.

“Collin’s work on ‘Discovering Latent Knowledge in Language Models Without Supervision’ is a novel approach to determining what language models truly believe about the world,” Leike says. “What’s exciting about his work is that it can work in situations where humans don’t actually know what’s true themselves, so it could apply to systems that are smarter than humans.”

SAN FRANCISCO/WASHINGTON, Oct 5 (Reuters) — OpenAI, the company behind ChatGPT, is exploring making its own artificial intelligence chips and has gone as far as evaluating a potential acquisition target, according to people familiar with the company’s plans.

The company has not yet decided to move ahead, according to recent internal discussions described to Reuters. However, since at least last year it discussed various options to solve the shortage of expensive AI chips that OpenAI relies on, according to people familiar with the matter.

These options have included building its own AI chip, working more closely with other chipmakers including Nvidia and also diversifying its suppliers beyond Nvidia (NVDA.O).

NIH BRAIN Initiative-funded research will lay the groundwork to map entire brains in incredible detail.

By Rachel Tompa, Ph.D. / Allen Institute.

5 min read.

I wouldnt worry about it. And ANY Effort on it is better spent on AI development now. It s a project for AI of 2050+, not for us today.

In the quest to measure how antimatter falls, the possibility that it fell ‘up’ provided hope for warp drive. Here’s how it all fell apart.