What's All the Fuss About? – The Health Blog - Latest Global News

What’s All the Fuss About? – The Health Blog


If you follow my weekly commentary on HealthCommentary.org or THCB, you may have noticed over the last six months that I seem to be obsessed with mAI, the penetration of artificial intelligence into the healthcare sector.

Let me share a secret today. My deep insight was part of a long preparation for a lecture (“AI meets medicine”) that I will give this Friday, May 17th at 2:30 p.m. in Hartford, CT. If you are in the area it is open to the public. You can register to participate HERE.

This image is one of 80 slides I will cover in the 90 minute presentation on a massive, revolutionary, transformative and complex topic. It’s also a moving target, as illustrated in the last line above that I added this morning.

The addition was forced by Mira Murati, OpenAI’s chief technology officer, who announced yesterday from a perch in San Francisco: “We’re looking at the future of interaction between us and machines.”

The new application, developed for both computers and smartphones, is called GPT-4o. Unlike previous members of the GPT family, which were characterized by self-learning generative capabilities and an insatiable thirst for data, this new application does not focus so much on the search space, but instead creates a “personal assistant” that is quick and easy to master Text, sound and image (“multimodal”).

OpenAI says this is “a step towards much more natural human-computer interaction” and is able to respond to your request “with an average delay of 320 milliseconds, which is similar to a human response time.” And they are quick to reinforce this that’s just the beginning, This morning their website states: “With GPT-4o, we have trained a single new model end-to-end across text, image and audio, meaning all inputs and outputs are processed by the same neural network.” Because GPT-4o is our “As the first model to combine all of these modalities, we are still scratching the surface of exploring the possibilities and limitations of the model.”

It is useful to remember that the entire AI movement in medicine and all other fields is about language. And language experts remind us: “Language and language in academia are complex areas that go beyond paleoanthropology and primatology,” requiring practical knowledge of “phonetics, anatomy, acoustics and human development, syntax, lexicon, gesture, phonological representations.” . , syllable organization, speech perception and neuromuscular control.”

The idea of ​​instantaneous, multimodal communication with machines seemingly comes out of nowhere, but is in fact the product of nearly a century of imaginative, creative and disciplined discoveries by information technologists and human language experts who have only recently fully converged. As Paleolithic archaeologist Paul Pettit, Ph.D., puts it: “There is now a lot of support for the idea that symbolic creativity was part of our cognitive repertoire as we began to disperse from Africa.” That is: “Their multimodal computer images are part of a conversation that began long ago with ancient rock art.”

Throughout history, language has been an accelerator of the species, a secret force that has allowed us to dominate and quickly rise (for better or worse) to “masters of the universe.” The abbreviation: We humans have moved “from chatter to concordance to inclusivity…”.

GPT-4o is just the latest advance, but it is notable not because it highlights the “self-learning” capability that the New York Times rightly called “exciting and frightening,” but because the emphasis is now on speed and efficiency to compete on an equal footing with human-to-human language. As OpenAI states: “GPT-4o is 2x faster, half the price and has 5x higher (traffic) rate limits compared to GPT-4.”

Practicality and ease of use are the words I chose. In the company’s words: “Today, GPT-4o is much better than any other existing model at understanding and discussing the images you share.” For example, you can now take a photo of a menu in another language and share it with GPT-4o. 4o talk to translate it, learn more about the history and meaning of the food, and get recommendations.”

In my talk I will cover a large part of the topic, attempting to provide the historical context, relevant nomenclatures and definitions of new terms, as well as the great potential (both good and bad) for healthcare applications. As many others have said, “It’s complicated!”

But as yesterday’s announcement in San Francisco makes clear, the human-machine interface is significantly blurred. Or as Mira Murati put it: “You want to have the experience that we have – where we can have this very natural dialogue.”

Mike Magee MD is a medical historian and a regular contributor to THCB. He is the author of CODE BLUE: Inside the Medical Industrial Complex (Grove/2020)

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