Breakthrough In Preemptive Detection Of AI Hallucinations Reveals Vital Clues To Writing Prompts That Keep Generative AI From Freaking Out

AI offers tremendous advantages in medicine, however like a child it requires watching. Adolescents also exhibit this trait and can be compared directly with AI being impulsive,  and poor judgment.  The adolescent brain is undeveloped as compared to mature adults. AI and LLM are much the same, adolescent, and lacking experience.

In case you don’t already know, an AI hallucination is when generative AI and large language models (LLMs) produce erroneous results that are essentially made-up confabulations. This occasional act of AI-powered fiction-making is so far not readily predictable, is hard to prevent, and undermines a sense of trust in what the AI generates. 

Some AI researchers insist they are inevitable and unstoppable. However 

This is a topic for another time.

Breakthrough In Preemptive Detection Of AI Hallucinations Reveals Vital Clues To Writing Prompts That Keep Generative AI From Freaking Out

How Venture Capital Mass Murdered Digital Health Startups

Thank you  Sergei Polevikov

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Perhaps the “murder” theme isn’t the most well-timed.

For those who’ve followed my work, you’ll know I’ve spent significant time dissecting the “pump and dump” schemes in venture capital. Until now, the bulk of my analysis has been laser-focused on the “pump” phase—examples abound here, here, and here. 

There are two phases at work as illustrated below.

What could possibly go wrong?

According to their VC overlords, the IPO was the ultimate goal, the champagne-popping celebration of success. Instead, these companies—corrupted by venture capital’s destructive “champagne and cocaine” mentality—found themselves woefully unprepared for the disciplined, public-facing demands of life as a publicly traded company. The VC's goal is to 'sell'. That is plain and simple. The companies they invest in have stellar credentials, a market need, a good design, acceptance by providers and/or patients, and exponential growth.

MBA schools apparently teach graphs, business models, spreadsheets, and a few ethical constraints.

Greed played a large role in the debacle. It all begins when venture capital is used to buy other companies in unrelated activities. The idea of further exponential growth leads to overspending, increased overhead, and purchasing other businesses that VCs know less about than the original acquisition. The VCs have no real interest in the core content of digital businesses. 

Take Teladoc for instance. Teladoc was a very successful early adopter of telehealth, doing very well until they allowed themselves to seek V.C. After the infusion of capital Teladoc purchased  Livongo, a company focused on remote monitoring and management of diabetes, blood pressure, and weight management. Smart devices, expert support, and health management strategies available at no cost through your company benefits. 

Here are more details of the evolving pandemic of VC infection

2️⃣ Google’s $100 Million Bet on Amwell Evaporates. Poof... 🪄

3️⃣ Another Telehealth Magic Trick: Glen Tullman’s $18.5 Billion Lemon Sale of Livongo to Teladoc Shareholders. Tullman successfully ran Allscripts, a well-known EHR vendor, then went on to run Transcarent, an application for businesses to use for self-insurance.

4️⃣ The “Amazon of Healthcare”

5️⃣ Amwell’s 1.9-Star Customer Reviews

6️⃣ Amwell’s Biggest Customers

7️⃣ VC Bros’ Magic Trick: Pump, Dump, Disappear

8️⃣ The ‘Champagne and Cocaine’ of COVID Overspending: The Telehealth Crash

9️⃣ Amwell’s Volatility and Illiquidity: A 1999 Internet Startup Vibe from the Parents’ Basement

🔟 Splitting Shares Is Worse Than Splitting Hairs

1️⃣1️⃣ Amwell’s Survival Scenarios: Slim Pickings

1️⃣2️⃣ My Thoughts on the Telehealth Market in 2025 and Beyond

The Health AI IPO Checklist: How to Spot the Next Unicorn or Sniff Out the Next Donkey

Just look at the list of recent digital health startups turned IPO compiled by Blake Madden. It’s a bloodbath of red.

How Venture Capital Mass Murdered Digital Health Startups

How it works.

Let me pause here for a second. Most people don’t realize how tech giants like Google and Microsoft invest in healthcare. These corporations sprinkle a little bit of money ($100 million is a drop in the bucket for Google) across multiple startups in diverse areas: telehealth, mental health, AI, therapeutics, etc., and see what sticks. It’s like playing Pin the Tail on the Donkey while blindfolded. Most of the time, the tail doesn’t fit, but they are waiting for that one big time when it finally fits.

Admittedly I do not know much about business, however, in my later years, I read a lot. I know now why I chose to be a doctor even if it is much more difficult now.

I feel for my younger brethren. Many now realize their mistake and are looking for exit strategies. Physicians no longer are in control. The strict moral and ethical codes have been ripped from Hippocrates to the Mark Cubans, 

1.     Alexis Ohanian 167

2 Anupam Mittal 86

3 Arjun Sethi 71

4 Ashton Kutcher 68

The number following their names is the number of investments in healthcare each VC owns.

Top health tech companies by VC funding: 

A look at 2024 and the past decade is no indication of future success. (Fierce Health Care)

A major new report on the state of artificial intelligence (AI) has just been released.

A major new report on the state of artificial intelligence (AI) has just been released. Think of it as the AI equivalent of an Intergovernmental Panel on Climate Change report, in that it identifies where AI is at today, and the promise and perils in view.

From language generation and molecular medicine to disinformation and algorithmic bias, AI has begun to permeate every aspect of our lives.

The report argues that we are at an inflection point where researchers and governments must think and act carefully to contain the risks AI presents and make the most of its benefits.

A century-long study of AI

The report comes out of the AI100 project, which aims to study and anticipate the effects of AI rippling out through our lives over the course of the next 100 years. The study was performed in 2021, and three more years have passed.

AI has only just begun. We confront it every day on the telephone, in chats, on the internet, when we drive our car, with image recognition and video surveillance of all public places.  Police use it for investigations and witnessing crimes at a later date.  Our smart speakers listen all the time,  although they only respond if you use a 'trigger word" such as. "Alexa'.

All of these uses are annoying and frustrating, however, it will become much worse when AI makes decisions without human oversight.

STANFORD UNIVERSITY   invited leading thinkers from several institutions to begin a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live, and play. 

This effort, called the One Hundred Year Study on Artificial Intelligence, or AI100, is the brainchild of computer scientist and Stanford alumnus Eric Horvitz who, among other credits, is a former president of the Association for the Advancement of Artificial Intelligence.

"We won’t be putting the genie back in the bottle," he said. "AI technology is progressing along so many directions and progress is being driven by so many different organizations that it is bound to continue. AI100 is an innovative and far-sighted response to this trend–an opportunity for us as a society to determine the path of our future and not to simply let it unfold unawares."

The unknown danger of an AI obsessing over a problem ignoring the goal it has been assigned. This is called Wireheading

Wireheading is akin to the high of a psychedelic and can be compared to hallucinating

Uses for Artificial Intelligence

There are already many practical uses for AI, some very beneficial and some annoying.

Dangers of Artificial Intelligence Automation-spurred job loss Deepfakes, Privacy violations, Algorithmic bias caused by bad data, Socioeconomic inequality, Market volatility, Weapons automatization, and Uncontrollable self-aware AI.

Is the horse out of the barn? The longer we wait to regulate the worse it will be.

                                                         Is AI in the box?

The One Hundred-Year Study on AI

 https://garymarklevin.substack.com/p/amazon-sued-for-one-medical-malpractice

Healthcare is scaling and failing as corporations’ greed adds to rising healthcare costs.

The lawsuit alleges Amazon’s health clinic was “reckless and negligent” in its care of a 45-year-old California man who died after seeking help via telemedicine.

By Caroline O'Donovan

One week before Christmas 2023, Philip Tong logged onto a video consultation with healthcare clinic Amazon One Medical and said that he was short of breath, coughing up blood, and that his feet were turning blue. The provider told him to buy an inhaler, according to an October lawsuit.

 Hours later, Tong collapsed in an emergency room in Oakland, California, according to a complaint filed against the hospital and One Medical. He died the same day.

Whether this case will rise to the level of a formal court adjudication remains open to be seen. Malpractice liability usually resorts to the standard usual and customary practice in the community.

Minute Clinics at CVS and other pharmacies have risen and fallen failing to create a substantial following and are ‘bottom dwellers’ according to most health care providers, except for some nurse practitioners looking for employment ‘elsewhere’.

This is an important case in the healthcare marketplace and should the plaintiff prevail it can set a precedent and warn against further investments in this type of delivery service for healthcare.