Altman is back as CEO of OpenAI

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SAM ALTMAN RETURNS TO OPEN-AI 🦾

This week’s OpenAI drama is one for the ages! 😅

What’s new? In a whirlwind of events, Sam Altman has been reinstated as the CEO of OpenAI. The agreement also brings about a restructuring of the board, with Bret Taylor and Larry Summers assuming key roles.

Why? After a 4-day saga where one of the biggest names in AI was fired as OpenAI’s CEO, hired by company parter Microsoft, and then reinstated as OpenAI CEO, there is a lot to sort out. Rumors have spread that this rehiring is due to the potential loss of employees (see the next story) and pressure from backers like Microsoft, where Altman was set to focus his primary attention.

What is the significance? Altman's swift return draws parallels to Silicon Valley legends like Steve Jobs, showcasing a remarkable turnaround akin to Jobs’ comeback at Apple. This episode in the AI story underscores the complex dynamics in steering cutting-edge AI development.

90% OF OPEN-AI EMPLOYEES THREATENED TO QUIT 🙅‍♂️

Amidst OpenAI’s firing (for a moment) of Sam Altman, drama went down. 👀

What happened? Over 700 out of approximately 770 employees at OpenAI threatened to quit unless the current board resigned and reinstated ousted leader Sam Altman.

How was the threat issued? 90% of OpenAI’s employees signed a letter addressed to the board stating that the signatories are “unable to work for or with people that lack competence, judgment and care for our mission and employees.”

What was the response? The employees, expressing dissatisfaction with the board's competence and judgment, have rallied behind Altman. Microsoft, OpenAI’s biggest investor, has reportedly assured positions for all departing OpenAI employees. Salesforce CEO Marc Benioff has also offered employment to researchers leaving OpenAI, emphasizing the potential industry-wide talent poaching triggered by OpenAI's turmoil.

AI SYSTEM DIAGNOSES AUTISM WITH 98.5% ACCURACY 🧠

Autism detection and treatment just got a great, AI boost! 🙂

What’s new? Researchers developed an AI system with a 98.5% accuracy rate in diagnosing autism in children aged 24 to 48 months by analyzing specialized brain MRIs.

How does it work? Developed by a multidisciplinary team at the University of Louisville, the three-stage AI system identifies autism through the analysis of specialized brain MRIs. The system focuses on diffusion tensor MRI (DT-MRI), a technique which reveals how water moves along white matter tracts in the brain. Mohamed Khudri explains, "Our algorithm is trained to identify areas of deviation to diagnose whether someone is autistic or neurotypical." The technology extracts imaging markers from DT-MRI scans, comparing connectivity patterns in autistic and typically developing brains. Gregory N. Barnes, M.D., Ph.D., emphasizes, "DT-MRI captures abnormal connections, elucidating symptoms like impaired social communication and repetitive behaviors."

What is the significance? Applying their method to 226 children’s DT-MRI scans, the AI system demonstrated 98.5% accuracy, opening doors for early detection and intervention. The potential impact is significant, particularly considering current challenges in timely autism diagnosis. The researchers envision a future where this AI system, once FDA-cleared, transforms assessments and therapies, providing a more objective, efficient, and accessible path to understanding and managing autism in its early stages.

“WATCH THIS” WEDNESDAY 👀

Our team at FryAI sat down with Justice Conder, a widely esteemed technologist. He has always been on the forefront of emerging technologies like crypto, web3, and now AI. In this interview, he shares insights from his recent article, "Everything You Want to Hear: The Future of AI Relationships.” Check out the interview below:

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