What happened to ai in 2024

 Actually we look at academic year 23-24 (ie up ro spring 2024 -same period as stanford aindex and more tellingly both close and start of new year of partners of www.nvidia.com  (march 2024 ws 10 th annual ai update summit of anyome playing with quintillion times more technology than conceived when ibm birthed cpu 1963)

The 2024 money rush 1 went into chats- however the intelligence went into partnerships especially aroung Taiwan's Chang (world leader in chip foundry -1987 was very important time as because moores law had so far been applied to deisgn of everything but mobilisding computer netwrks and Taiwan chose to bet its 20 million human futures on mediating bridge between moores law and two other million fold multipers - satellite data clouds; computer 2.0 deep learning of machines programmed in dta other than 0.1 binary - eg from 2002 programmining in pixels turned out to be greatest engineerining leap round mother earth soon freeing up ai health in ways radiologists could once only dream about) and Foxcomm and of course the Taiwan America triad of silicon valley : Huangs-Yangs-Tsais1 

Imagewise the ai market spent exhorbitantly on foundation models- basically there's a catch 22 withut owning biggest foundation models you dint exactly whats in an llm - however most users actually want the presentation format of an llm plogged into pesronal agency what they most action learn with.At level millennials need to chat around expect thousands times cheaper models to do what your community heeds help with

chat with chris.macrae@yahoo.co.uk if you agree or disagree - i can also be invited to a cheap coffee anywhere in dc metro areaa

(ps ask what else you need ti sustain player as intelligent llm player - eg low latency satellite paerner; being epicentre of nvidia supercoputer applied to one of 20 trillion dollar markets millennials need most to regenerate? 2025 cluechase why does everyone (from Trump to Dr Ynuis) want Elon Musk to be the best intelligence and friend he can be?

 From Johns Hopkins Baltimore & Bloomberg Center DC 555 Penn Avenue

https://washingtondc.jhu.edu/news/how-ai-can-improve-mental-health/

full log of 3 AI & Health

HOW AI CAN IMPROVE MENTAL HEALTH

NOVEMBER 7, 2024

CLINICIANS AND RESEARCHERS ARE PUTTING THE TECHNOLOGY TO USE TO IMPROVE TRAINING, IDENTIFY AT-RISK INDIVIDUALS, AND POTENTIALLY SAVE LIVES

• ImageWill Kirk

Key Takeaways

• AI offers new potential ways to address mental health concerns by providing better training and identifying people who may be at risk of suicide.
• Still, bias in the data could lead to poor insights.
• Regulating this new tech is like “solving a Rubik’s Cube,” according to an HHS official.

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For years, Crisis Text Line, a nonprofit that provides free, text-based mental health support and crisis intervention, has seen people start training to become volunteers, but not formally complete the program. Their team suspected many would-be volunteers dropped out because they didn’t feel confident in their abilities to help those in crisis.

Using scenarios developed by its clinical team, Crisis Text Line developed an AI conversation simulator that allows volunteers to have practice conversations about bullying, arguments with family, or suicidal intentions.

“One of the nice things about this is that crisis counselors can experience realistic conversation content and timing,” said Elizabeth Olson, a research scientist at Crisis Text Line, during a recent event at the Johns Hopkins University Bloomberg Center.

Identifying those in need

Emily Haroz, an associate professor at the Johns Hopkins Bloomberg School of Public Health, thinks AI has significant potential to enhance mental health care.

“It has the ability to increase the quality of the care we provide and to help us better identify where priority populations are in a faster way,” said Haroz, who organized the “AI for Hope” convening.

Haroz recently partnered with Indian Health Services to develop an AI model capable of identifying people at risk of suicide. It provides clinicians with an extra nudge to ask if a patient may be considering suicide.

Mitigating bias

But Haroz and other speakers at the event said addressing potential bias in data sets is critical if AI is to reach its full potential in health care settings.

Kadija Ferryman, an assistant professor at the Johns Hopkins Berman Institute of Bioethics, for example, examined data that could be fed into an algorithm that would provide a “score” for a patient’s risk of overdose. One of the possible variables is drug arrests rather than convictions.

“There’s research showing that rate of arrests doesn’t really align with criminality in certain communities,” she said. “There are racial arrests.” Including data that reflects biased policing, then, could make it appear that people of color are more likely to overdose.

A Rubik’s Cube of regulation

For Steven Posnack, a principal deputy assistant secretary at the Department of Health and Human Services, there might soon be a time when not using AI tools would be considered below the standards of care.

Posnack and his colleagues are now trying to think through how to regulate AI use in technology. He compared the challenge to that of solving a Rubik’s Cube.

“It’s a three-dimensional problem. How many people is it going to reach? How autonomous is the AI in a particular workflow?” he said. “All of those are different factors we’re going to need to consider how to approach from a regulatory policy.”

happy thanksgiving week

happiness for me is seeing that some of the people who9se intelligence inspired me as olut of tnis world actually know each other

london (with google podcast celebrating nobel prizes) saw hassabis chatting to paul nurse , CRISPR jennifer doudna  and johnJ

Jensen huangs asia tour has connected chats with insia's ambavi, japan's maas son and now hong kong's harry shrum https://en.wikipedia.org/wiki/Harry_Shum it makes sense he's also a student of  Carnegi Melllom's Raj Reddy https://www.google.com/search?q=%22raj+reddy%22

update jan 2025

humanity's last exam 1 with cais & scale ai alezxandr wangChat ref X901 

unfortunately top-down administrators prefer decision-making in one dimension (ie number); and in paper planning world mapping beyond 2 dims is quite difficult; at best humans (other than mathematician goats) think and act in 3 dimensions- whats beautiful about NET engineering AIntelligence is you can integrate as many as Einstein's chaos maths (1905) needs to value all human interactions and all GPS where they align with valuation exponentials of Adam Smith moral codes !758+ & Keynes 1936 last chapter of general theory of money interest and employment

QUIZME AI

Over 75 years since V Neumann first trained Royal Society economics journalists this simple wordgame aims to portray some of the intelligences we feel every student. patrent and teacher of millennials may enjoy celebrating for millennials to urgently renew generation's needs/solutions by linkin  now (see urgent roadmaps like Bangla2.0 with fans of Dr Yunus and billion women empowerment- we welcome nominations queries- chris.macrae@yahoo.co.uk

legend red- urgent this month eg Yunus

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