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Delivering Innovative, Compassionate And Accessible Patient Care — Robert Stone, CEO — City of Hope & Dr. Marcel van den Brink, MD, PhD, President, City of Hope Comprehensive Cancer Center.


Robert Stone is the CEO of City of Hope (https://www.cityofhope.org/robert-stone), a premier cancer research and treatment center dedicated to innovation in biomedical science and the delivery of compassionate, world-class patient care. A seasoned health care executive, he has served in a number of strategic decision-making roles since he joined City of Hope in 1996, culminating with his appointment as president in 2012, CEO in 2014, and as the Helen and Morgan Chu Chief Executive Officer Distinguished Chair in 2021.

Mr. Stone has J.D., University of Chicago Law School, Chicago, IL.

Mr. Stone’s strategic acumen, empathy and visionary leadership have driven City of Hope’s rapid evolution.

As an independent institution dedicated to advancing the fight against cancer and diabetes, City of Hope is accelerating opportunities for high-impact discovery and ensuring that patients around the world have access to the most advanced therapies. Recent examples include a groundbreaking alliance in precision medicine with the Translational Genomics Research Institute (TGen), a leader in genomic analysis and bioinformatics; leadership in CAR T cell therapy research and therapy; and an innovative program to offer cancer support services to the employees of some of American’s largest employers, regardless of geography.

Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and efficient at providing answers, clarifying concepts, and distilling information. But to establish trustworthiness of content generated by such models, how can we really know if a particular statement is factual, a hallucination, or just a plain misunderstanding?

In many cases, AI systems gather external information to use as context when answering a particular query. For example, to answer a question about a medical condition, the system might reference recent research papers on the topic. Even with this relevant context, models can make mistakes with what feels like high doses of confidence. When a model errs, how can we track that specific piece of information from the context it relied on — or lack thereof?

To help tackle this obstacle, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers created ContextCite, a tool that can identify the parts of external context used to generate any particular statement, improving trust by helping users easily verify the statement.


The ContextCite tool from MIT CSAIL can find the parts of external context that a language model used to generate a statement. Users can easily verify the model’s response, making the tool useful in fields like health care, law, and education.

DEADLINE APPROACHING! The NEH program is accepting applications through Dec. 11, 2024. For more information, visit.


For organizations in areas affected by Hurricane Helene in FL, GA, SC, NC, VA and TN, optional prospectuses will be accepted until Oct 16th. The prospectus must use the Prospectus Template.

The Humanities Research Centers on Artificial Intelligence program aims to support a more holistic understanding of artificial intelligence (AI) in the modern world through the creation of new humanities research centers on artificial intelligence at eligible institutions. Centers must focus their scholarly activities on exploring the ethical, legal, or societal implications of AI.

A Center supports collaboration among scholars to explore a specific topic through research, as well as spreading knowledge about that research through educational or outreach activities. Centers may include scholars from diverse disciplines, but must be focused on asking humanities questions and should be led by humanists. Scholars may come from one or more institutions. NEH welcomes international collaboration, but scholars at U.S. institutions must contribute significantly to the project. This program is for establishing new Centers; existing Centers and Institutes are not eligible in this competition. Only one application per institution is permitted in this competition. For the purposes of this limitation, branch campuses are considered separately and each may submit one application.

Elon Musk has predicted that AI will surpass doctors and lawyers after a study revealed OpenAI’s ChatGPT-4 outperformed medical professionals in diagnosing illnesses.

What Happened: A study reported by The New York Times revealed that AI achieved a 90% accuracy rate, compared to 76% for doctors using ChatGPT as a tool and 74% for doctors relying on traditional resources.

Following the publication of the report, Bindu Reddy, CEO of Abacus. AI, stated that an AI doctor with access to all lab reports would be able to diagnose problems and suggest remedies better than most human doctors.

The conservation law is a fundamental tool that significantly aids our quest to understand the world, playing a crucial role across various scientific disciplines. Particularly in strong-field physics, these laws enhance our comprehension of atomic and molecular structures as well as the ultrafast dynamics of electrons.

This clip is from the following episode: https://youtu.be/xqS5PDYbTsE

Recorded on Oct 18th, 2024
Views are my own thoughts; not Financial, Medical, or Legal Advice.

In this episode, Ray and Peter discuss 2025 predictions, Job loss in the coming years, and Ray’s thoughts on nanotech taking over the world.

Ray Kurzweil is a world-class inventor, thinker, and futurist, with a thirty-five-year track record of accurate predictions. He has been a leading developer in artificial intelligence for 61 years – longer than any other living person. He was the principal inventor of the first CCD flat-bed scanner, omni-font optical character recognition, print-to-speech reading machine for the blind, text-to-speech synthesizer, music synthesizer capable of recreating the grand piano and other orchestral instruments, and commercially marketed large-vocabulary speech recognition software. Ray received a Grammy Award for outstanding achievement in music technology; he is the recipient of the National Medal of Technology, was inducted into the National Inventors Hall of Fame, and holds twenty-one honorary Doctorates. He has written five best-selling books including The Singularity Is Near and How To Create A Mind, both New York Times bestsellers, and Danielle: Chronicles of a Superheroine, winner of multiple young adult fiction awards. His new book, The Singularity Is Nearer was released on June 25th and debuted at #4 on the New York Times Best Seller list. He is a Principal Researcher and AI Visionary at Google.

I send weekly emails with the latest insights and trends on today’s and tomorrow’s exponential technologies. Stay ahead of the curve, and sign up now: https://www.diamandis.com/subscribe.

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“There’s way more piloting that I’ve seen, especially in large law firms. So, there’s been a lot of expense, especially the allocating of staff and paying out of pocket for licensing fees,” Friedmann said.

“Part is keeping up with the Joneses, part of it is marketing, and part of it is just getting over the adoption challenges,” he continued. “In eDiscovery, before the advent of genAI, you needed some training to know how to interact with discovery database. There were a lot of tools, but they all had the same issue: You had to be pretty technically adept to tackle the database yourself.”

Law firms and corporate legal departments are adopting genAI for a myriad of purposes, ranging from document discovery and analysis to contract lifecycle management. GenAI can be used to categorize and summarize documents, draft new ones, and generate client communications.