BOARD CERTIFICATION EXAM STUDY GUIDES Lower Extremity Trauma
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Posted on October 5, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
DEFINITION
By Staff Reporters
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What is distillation? In machine learning, distillation is a technique for transferring knowledge from a large, complex model (often called the teacher model) to a smaller, simpler model (the student model). This process helps the smaller model achieve similar performance to the larger one while being more efficient in terms of computation and memory usage.
Distillation steps: The main steps in knowledge distillation are: [1.] Train the student model by using these predictions, along with the original dataset, to mimic the teacher model’s behavior. And, [2.] use the teacher model to generate predictions for the dataset.
Posted on September 4, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
A.I. by Artificial Intelligence
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Artificial intelligence (AI) refers to computer systems capable of performing complex tasks that historically only humans could do, such as reasoning, making decisions, or solving problems. Today, the term “AI” describes a wide range of technologies that power many of the services and goods we use every day – from apps that recommend TV shows to chatbots that provide customer support in real time. And yet, there is a hierarchy among related concepts such as machine learning and deep learning.
So, to summarize the hierarchy:
AI is the goal: machines that can think and act intelligently.
Machine learning is a method within AI that lets machines learn from data.
Deep learning is a specialized form of machine learning that uses multi-layered neural networks to analyze data in a way that mimics the human brain.
It’s a feature, not a bug
And, there’s no shortage of companies leveraging AI today to remain profitable, to the delight of Salesforce investors: among others:
Wells Fargo’s CEO has touted trimming its workforce for 20 straight quarters. Its stock is up 228% over the past five years.
Bank of America CEO Brian Moynihan wasn’t hiding it during a recent earnings call when he said the company has let go of 88,000 employees over the past 15 years. BofA stock is up 95% since 2020.
Amazon, with its share value up 28% over the past year, recently told staff that AI implementation would lead to layoffs.
Microsoft has cut 15,000 jobs in the past two months as the company pivots to AI—and its stock is also up since the beginning of July.
Posted on August 17, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
A Supply Chain Management Strategy
By Staff Reporters
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RADIO FREQUENCY IDENTIFICATION
RFID refers to a device attached to an object that transmits data to an RFID receiver. A device can be a large piece of hospital hardware the size of a small book like those attached to ocean containers, or a very small device inserted into a label on a package. RFID has advantages over bar codes such as the ability to hold more data, and to change the stored data as processing occurs. Moreover, it does not require line-of-sight to transfer data, and is very effective in harsh environments where bar-code labels will not work. RFID is not without its own problems, however, as RF signals can be compromised by materials such as metals and liquids.
Although RFID technology is receiving much current attention, it still tends to be cost-prohibitive for some hospital inventory tracking applications. As chip prices go down, there will be continued growth in the application of RFID, but, as in the case of 2D bar codes, many hospital warehouse applications simply do not require this added functionality. The low-cost 1D bar code may continue to be the technology of choice for many hospital inventory tracking applications in the short term.
Smart labels are labels with integrated RFID chips. The idea is to produce labels (probably with bar codes) as well as programming the RFID chips embedded in the label. This would provide all current functionality (human- and machine-readable text and bar codes) as well as adding RFID functionality.
Slap-and-ship describes an approach to complying with vendor requirements for physical identification of shipped goods. More recently, slap-and-ship has been used to describe complying With RFID requirements (such as those from large health care systems); however, it is also applicable to any compliance labeling requirement (such as compliance bar-code labels). Slap-and-ship implies meeting the customer’s requirement by applying the bar-code labels or RFID tags, but not utilizing the technology internally.
Finally, anti-skimming bills were first approved by California and Washington State relative to RFID privacy and are focused on making it illegal for criminals or businesses (or criminal businesses) to read and use personal information from RFID-enabled items such as driver’s licenses and credit cards without the owner’s consent.
Trump says pharma tariffs could be as high as 250%
The president revealed that he plans to formally announce tariffs on the pharmaceutical industry “within the next week or so” in an attempt to force drug manufacturing to the US, he told CNBC several days ago.
Posted on July 16, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters and AI
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Better make sure it’s Secure?
UnitedHealth Group’s Optum healthcare company got caught with its digital pants down in December, when TechCrunch reported that its internal AI chatbot, which employees asked for advice in determining claims, was publicly accessible.
Posted on June 13, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
DEFINED
By CoPilot AI
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Barcodes and QR codes are basically two forms of machine-readable codes that contain data and are useful in various sectors such as retail, logistics, and marketing. While both appear to fulfill the function of storing information, they have differences based on structure and storage size as well as the function they perform. This makes it easier for businesses to distinguish what is relevant in barcodes and what is relevant in QR codes so that they can be in a position to adopt the right technology that will suit their needs well.
Barcode provides us with a way to store numbers in a computer-understandable format. This is used to store information in a 1D or 2D format that can be scanned for data retrieval. It is used by stores’ back-off sweaters for keeping track of the patients just in case of rental car services to track where the car is in cases of airline luggage.
Simplicity: Barcodes are easy to implement and can be put into use within a short span of time and with comparatively less investment.
Low Cost: The equipment and technology required in the generation as well as the scanning of the bar codes are relatively cheap.
Quick Scanning: As has already been discussed, barcodes are easy to scan and this makes them suitable for_numeric environments such as the retail sector.
Disadvantages of Barcodes
Limited Data Capacity: Barcodes also have a limited data processing capability with limited numerical values, of between 8-20 characters per barcode.
One-Dimensional: Barcode is more vast than OWLT and cannot contain complex information since it is one-dimensional.
Prone to Damage: That is why they can be barely scratched or damaged in such a manner that they will not scan properly.
What is QR code?
QR codes are a way of storing data in the form of computer understandable format, that can be scanned by using QR code scanner to retrieve the data. These are widely used nowadays for cashless and UPI payment services. They can be used in case of identifications and are also used for sharing photos, videos and other files.
High Data Capacity: QR codes contain the ability to enclose thousands of characters that include numbers, letters and even the binary data.
Small Physical Footprint: In fact, most QR codes are small in size even though they have a high storage capacity thereby making it possible to print them despite the limited amount of space.
Error Correction: QR codes are also created with erasure correction, so the code can still be scanned even if SOME of the dots are scratched out.
Versatile Applications: According to the functional aspect QR codes can be used in marketing, payments, wither links, multimedia information storage etc.
Disadvantages of QR Codes
Requires Specific Software: Unlike barcodes that can be scanned by an ordinary laser scan gun, QR code must be scanned with a QR code scanner or simply an advanced telephone or tablet with a QR code scanner application.
Overuse in Marketing: The use of QR codes has been popularized mainly in the marketing sector, hence consumers are used to seeing it and may opt to look the other way.
Posted on May 12, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
By Vitaliy Katsenelson CFA
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I’ve received emails from readers asking my thoughts on DeepSeek. I need to start with two warnings. First, the usual one: I’m a generalist value investor, not a technology specialist (last week I was analyzing a bank and an oil company), so my knowledge of AI models is superficial. Second, and more unusually, we don’t have all the facts yet.
But this story could represent a major step change in both AI and geopolitics.
Here’s what we know:
DeepSeek—a year-old startup in China that spun out of a hedge fund—has built a fully functioning large language model (LLM) that performs on par with the latest AI models. This part of the story has been verified by the industry: DeepSeek has been tested and compared to other top LLMs. I’ve personally been playing with DeepSeek over the last few days, and the results it spit out were very similar to those produced by ChatGPT and Perplexity—only faster.
This alone is impressive, especially considering that just six months ago, Eric Schmidt (former Google CEO, and certainly no generalist) suggested China was two to three years behind the U.S. in AI.
But here’s the truly shocking—and unverified—part: DeepSeek claims they trained their model for only $5.6 million, while U.S. counterparts have reportedly spent hundreds of millions or even billions of dollars. That’s 20 to 200 times less.
The implications, if true, are stunning. Despite the U.S. government’s export controls on AI chips to China, DeepSeek allegedly trained its LLM on older-generation chips, using a small fraction of the computing power and electricity that its Western competitors have. While everyone assumed that AI’s future lay in faster, better chips—where the only real choice is Nvidia or Nvidia—this previously unknown company has achieved near parity with its American counterparts swimming in cash and datacenters full of the latest Nvidia chips. DeepSeek (allegedly) had huge compute constraints and thus had to use different logic, becoming more efficient with subpar hardware to achieve a similar result.
In other words, this scrappy startup, in its quest to create a better AI “brain,” used brains where everyone else was focusing on brawn—it literally taught AI how to reason.
Posted on April 5, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
MEDICAL EXECUTIVE-POST–TODAY’SNEWSLETTERBRIEFING
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Essays, Opinions and Curated News in Health Economics, Investing, Business, Management and Financial Planning for Physician Entrepreneurs and their Savvy Advisors and Consultants
“Serving Almost One Million Doctors, Financial Advisors and Medical Management Consultants Daily“
A Partner of the Institute of Medical Business Advisors , Inc.
Microsoft is reportedly pulling back on data center projects around the world as it reexamines its AI plans. Hershey reportedly bought the popcorn brand LesserEvil for $750 million.
US stocks cratered on Friday with the Dow Jones Industrial Average (^DJI) plunging more than 2,200 points after China stoked trade-war fears and Fed Chair Jerome Powell warned of higher inflation and slower growth stemming from tariffs.
The Dow pulled back 5.5% to enter into correction territory. Meanwhile, the S&P 500 (^GSPC) sank nearly 6%, as the broad-based benchmark capped its worst week since 2020. The tech-heavy NASDAQ Composite (^IXIC) dropped 5.8% to close in bear market territory.
Avram Noam Chomsky is an American professor known for his traditional work in linguistics and political activism. Sometimes called “the father of modern linguistics”, Chomsky is also one of the founders of the field of cognitive science. He is a laureate professor of linguistics at the University of Arizona and an professor emeritus at MIT.
And so, modern linguists today approach their work with scientific rigor and perspective [STEM], although they use methods that were once thought to be solely an academic discipline of the humanities.
Contrary to this humanitarian belief, according to Professor Mackenzie Hope Marcinko PhD of the University of Delaware, linguistics is now multidisciplinary. It overlaps each of the human sciences including psychology, neurology, anthropology, and sociology. Linguists conduct formal studies of sound structure, grammar and meaning, but also investigate the history of language families, and research language acquisition.
Posted on March 2, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
By Copilot
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The “Magnificent Seven” refers to a group of seven technology giants that have significantly influenced the stock market. These companies are:
Alphabet (GOOGL)
Amazon (AMZN)
Apple (AAPL)
Meta Platforms (META)
Microsoft (MSFT)
Nvidia (NVDA)
Tesla (TSLA)
Why Are They Significant?
These companies are at the forefront of technological innovation, driving advancements in artificial intelligence, cloud computing, e-commerce, social media, and electric vehicles. Their market dominance and financial performance have a substantial impact on major stock indices like the S&P 5002.
Performance
Alphabet: Despite a 31% climb over the past year, Alphabet remains the cheapest of the group, trading at 20 times forward earnings estimates.
Amazon: Amazon’s cloud unit is delivering an annual revenue run rate of $115 billion thanks to its AI offerings.
Apple: Apple has seen a 989% total return for investors over the past decade.
Meta Platforms: Meta is the best-performing stock year-to-date among the Magnificent Seven, up over 25%.
Microsoft: Microsoft has generated a 989% total return for investors over the past decade.
Nvidia: Nvidia remains the best performer over the past year, up 55%.
Tesla: Tesla is the worst-performing stock in the group for 2025, down 25.66% year-to-date.
These companies have reshaped industries and become powerhouses in the global economy, wielding significant influence over market trends and investor sentiment.
A century ago, one fifth of the country was involved in agriculture. Due to the transformation of farming technology, only 1% of the country is now involved in farming, while our supermarkets are flooded with cheap food. I could be wrong, but I don’t see the 19% of the country who used to farm wandering around unemployed. They have retrained to do other things.
Innovation disrupts, but it also creates new jobs and improves the standard of living of society. A century ago, you could not have imagined most of the jobs we have today. I’m not just talking about social media celebrities; think about software engineers, data scientists, cybersecurity experts, etc. In fact, most white-collar jobs you see today did not exist 100 years ago. Yes, if you specialized in driving horse-powered carriages, you had to acquire new skills.
AI will displace many jobs, but it will also empower people with new productivity tools. Microsoft Excel replaced jobs that required people to add up rows of numbers with calculators, but it created many more. In the 1960s, corporations had departments filled with typists. A photocopier and then the personal computer put these hardworking folks out of a job, but they retrained to do other things.
If we have a victim mentality, AI will run us over; if we embrace it and adapt it to our lives, it may become our best friend to do the jobs we are doing, while our soon-to-be-unemployed coworkers complain about AI.
AI may have a similar impact on our lives as electricity did. Unless it becomes sentient and just like the Terminator, it turns against us (smarter people than me cannot agree on this, especially on a reasonable time frame, so I withhold my opinion on it), it will likely improve our lives significantly. One industry that immediately comes to mind is healthcare – we need major disruption in that sector.
AI may disrupt and completely reshuffle the power dynamics in some industries. Travel, for example, comes to mind; we may start looking for trips and booking tickets with the help of our AI assistant without going to the travel websites. Some companies will adapt and become winners, while others won’t and will become market-share donors.
As I am typing this, I realize (again, something I do daily now) how important management is. In our analysis, we should pay close attention to how companies are embracing AI. Are they giving it lip service or are they really adopting it and changing the business to take advantage of it?
ChatGPT is a statistical representation of things found on the web, which will increasingly include ITS OWN output (directly and secondhand). You post something picked up from it and it will use it to reinforce its own knowledge. Progressively a self-licking lollipop.
If you want to see ChatGPT creating art, for the fun of it, spend some time on myfavoriteclassical.com, where I post music articles. Every single picture there is created by AI. I love impressionist artists, and thus I love these little AI creations. However, if you zoom in closer, you’ll find violinists playing with toothpicks, pianists with three hands and cellists with multiple arms and legs.
This self-licking lollipop is impressive, but it still has a lot to learn. (By the way, if you have not signed up to receive my classical music-only articles, you have an opportunity to do it here).
Finally, the more we rely on AI and the more content it creates, the less creative it and we become.
I’ve received emails from readers asking my thoughts on DeepSeek. I need to start with two warnings. First, the usual one: I’m a generalist value investor, not a technology specialist (last week I was analyzing a bank and an oil company), so my knowledge of AI models is superficial. Second, and more unusually, we don’t have all the facts yet.
But this story could represent a major step change in both AI and geopolitics. Here’s what we know: DeepSeek—a year-old startup in China that spun out of a hedge fund—has built a fully functioning large language model (LLM) that performs on par with the latest AI models. This part of the story has been verified by the industry: DeepSeek has been tested and compared to other top LLMs. I’ve personally been playing with DeepSeek over the last few days, and the results it spit out were very similar to those produced by ChatGPT and Perplexity—only faster.
This alone is impressive, especially considering that just six months ago, Eric Schmidt (former Google CEO, and certainly no generalist) suggested China was two to three years behind the U.S. in AI. But here’s the truly shocking—and unverified—part: DeepSeek claims they trained their model for only $5.6 million, while U.S. counterparts have reportedly spent hundreds of millions or even billions of dollars. That’s 20 to 200 times less.
The implications, if true, are stunning. Despite the U.S. government’s export controls on AI chips to China, DeepSeek allegedly trained its LLM on older-generation chips, using a small fraction of the computing power and electricity that its Western competitors have. While everyone assumed that AI’s future lay in faster, better chips—where the only real choice is Nvidia or Nvidia—this previously unknown company has achieved near parity with its American counterparts swimming in cash and datacenters full of the latest Nvidia chips. DeepSeek (allegedly) had huge compute constraints and thus had to use different logic, becoming more efficient with subpar hardware to achieve a similar result. In other words, this scrappy startup, in its quest to create a better AI “brain,” used brains where everyone else was focusing on brawn—it literally taught AI how to reason.
Enter the Hot Dog Contest
Americans love (junk) food and sports, so let me explain with a food-sport analogy. Nathan’s Famous International Hot Dog Eating Contest claims 1916 as its origin (though this might be partly legend). By the 1970s, when official records began, winning competitors averaged around 15 hot dogs. That gradually increased to about 25—until Takeru Kobayashi arrived from Japan in 2001 and shattered the paradigm by consuming 50 hot dogs, something widely deemed impossible. His secret wasn’t a prodigious appetite but rather his unique methodology; He separated hot dogs from buns and dunked the buns in water, completely reimagining the approach.
Then a few years later came Joey Chestnut, who built on Kobayashi’s innovation to push the record well beyond 70 hot dogs and up to 83. Once Kobayashi broke the paradigm, the perceived limits vanished, forcing everyone to rethink their methods. Joey Chestnut capitalized on it.
DeepSeek may be the Kobayashi of AI, propelling the whole industry into a “Joey Chestnut” era of innovation. If the claims about using older chips and spending drastically less are accurate, we might see AI companies pivot away from single-mindedly chasing bigger compute capacity and toward improved model design.
I never thought I’d be quoting Stoics to explain future GPU chip demand, but Epictetus said, “Happiness comes not from wanting more, but from wanting what you have.” Two millennia ago, he was certainly not talking about GPUs, but he may as well have been. ChatGPT, Perplexity, and Google’s Gemini will have to rethink their hunger for more compute and see if they can achieve more with wanting (using) what they have.
If they don’t, they’ll be eaten by hundreds of new startups, corporations, and likely governments entering the space. When you start spelling billions with an “M,” you dramatically lower the barriers to entry.
Until DeepSeek, AI was supposed to be in reach for only a few extremely well-funded companies, (the “Magnificent Ones”) armed with the latest Nvidia chips. DeepSeek may have broken that paradigm too.
The Nvidia Conundrum
The impact on Nvidia is unclear. On one hand, DeepSeek’s success could decrease demand for its chips and bring its margins back to earth, as companies realize that a brighter AI future might lie not in simply connecting more Nvidia processors but in making models run more efficiently. DeepSeek may have reduced the urgency to build more data centers and thus cut demand for Nvidia chips.
On the other hand (I’m being a two-armed economist here), lower barriers to entry will lead to more entrants and higher overall demand for GPUs. Also, DeepSeek claims that because its model is more efficient, the cost of inference (running the model) is a fraction of the cost of running ChatGPT and requires a lot less memory—potentially accelerating AI adoption and thus driving more demand for GPUs. So this could be good news for Nvidia, depending on how it shakes out.
My thinking on Nvidia hasn’t materially changed—it’s only a matter of time before Meta, Google, Tesla, Microsoft, and a slew of startups commoditize GPUs and drive down prices.
Likewise, more competition means LLMs themselves are likely to become commoditized—that’s what competition does—and ChatGPT’s valuation could be an obvious casualty.
Geopolitical Shockwaves
The geopolitical consequences are enormous. Export controls may have inadvertently spurred fresh innovation, and they might not be as effective going forward. The U.S. might not have the control of AI that many believed it did, and countries that don’t like us very much will have their own AI.
We’ve long comforted ourselves, after offshoring manufacturing to China, by saying that we’re the cradle of innovation—but AI could tip the scales in a direction that doesn’t favor us. Let me give you an example. In a recent
interview with the Wall Street Journal, OpenAI’s product chief revealed that various versions of ChatGPT were entered into programming competitions anonymously. Out of roughly 28 million programmers worldwide, these early models ranked in the top 2–3%. ChatGPT-o1 (the latest public release) placed among the top 1,000, and ChatGPT-o3 (due out in a few months) is in the top 175. That’s the top 0.000625%! If it were a composer, ChatGPT-o3 would be Mozart.
I’ve heard that a great developer is 10x more valuable than a good one—maybe even 100x more valuable than an average one. I’m aiming to be roughly right here. A 19-year-old in Bangalore or Iowa who discovered programming a few months ago can now code like Mozart using the latest ChatGPT. Imagine every young kid, after a few YouTube videos, coding at this level. The knowledge and experience gap is being flattened fast.
I am quite aware that I am drastically generalizing (I cannot stress this enough), and but the point stands: The journey from learning to code to becoming the “Mozart of programming” has shrunk from decades to months, and the pool of Mozarts has grown exponentially. If I owned software companies, I’d become a bit more nervous—the moat for many of them has been filled with AI.
Adapting, changing your mind, and holding ideas as theses to be validated or invalidated—not as part of your identity—are incredibly important in investing (and in life in general). They become even more crucial in an age of AI, as we find ourselves stepping into a sci-fi reality faster than we ever imagined. DeepSeek may be that catalyst, forcing investors and technologists alike to question long-held assumptions and reevaluate the competitive landscape in real time.
I’d love to hear your thoughts, so please leave your comment and feedback here. Also, if you missed my previous article “Escaping Stock Market Double Hell”, you can read it and leave a comment here.
Posted on January 3, 2025 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Outcome bias is judging a decision based on its result rather than the quality of the decision at the time it was made.
It’s like saying a bad poker play was smart because you won the hand. Or, a bad stock picker or financial advisor was good because the price went up!
According to psychologist and colleague Dan Ariely PhD, this bias ignores the process and focuses solely on the outcome. It’s why we celebrate lucky breaks and criticize thoughtful risks that didn’t pan out.
So, the next time you’re evaluating a decision, focus on the reasoning behind it, not just the end result.
Posted on December 18, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
MEDICAL EXECUTIVE-POST–TODAY’SNEWSLETTERBRIEFING
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Essays, Opinions and Curated News in Health Economics, Investing, Business, Management and Financial Planning for Physician Entrepreneurs and their Savvy Advisors and Consultants
“Serving Almost One Million Doctors, Financial Advisors and Medical Management Consultants Daily“
A Partner of the Institute of Medical Business Advisors , Inc.
Stat: 97%. That’s how many healthcare leaders think A.I. will become important in healthcare over the next five years.
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Pharmacy benefit managers (PBMs) are once again under pressure from federal leaders. A group of Democratic and Republican congresspeople proposed legislation that would attempt to prevent pharmacies from also owning PBMs. The three largest PBMs—CVS Health’s Caremark, Cigna’s Express Scripts, and UnitedHealth Group’s Optum Rx—currently operate pharmacies and administer more than 80% of the prescriptions in the US, and officials have linked this practice to drug price increases.
US stocks fell across the board on Tuesday, with the Dow logging its biggest losing streak in 46 years. The Dow Jones Industrial Average (^DJI) finished the session down roughly 0.6%, registering its ninth straight day of losses. The last 9-day losing streak for the Dow was Feb. 1978. Prior to that, the index suffered an 11-day losing streak in 1974 and another in 1971.
The other major indexes dropped in tandem on Tuesday, with the benchmark S&P 500 (^GSPC) falling around 0.4% and the NASDAQ Composite (^IXIC) losing about 0.3% after the tech-heavy index closed at a record high on Monday.
Posted on November 6, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
MEDICAL EXECUTIVE-POST–TODAY’SNEWSLETTERBRIEFING
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Essays, Opinions and Curated News in Health Economics, Investing, Business, Management and Financial Planning for Physician Entrepreneurs and their Savvy Advisors and Consultants
“Serving Almost One Million Doctors, Financial Advisors and Medical Management Consultants Daily“
A Partner of the Institute of Medical Business Advisors , Inc.
First-time homebuyers in 2024 had a median income of $97,000, and their median age was 38. OpenAI and Jeff Bezos invested in Physical Intelligence, a robot startup with the aim of “bringing general-purpose AI into the physical world.”
Cybersecurity darling Palantir soared 23.38% to a record high thanks to strong earnings, high AI demand, and big spending from the Department of Defense.
Astera Labs skyrocketed 37.70% after the semiconductor parts maker (and one of Nvidia’s key suppliers) announced strong earnings.
Crypto stocks had a great day thanks to a widespread cryptocurrency rally. Coinbase rose 4.13%, MicroStrategy gained 2.16%, and RiotPlatforms jumped 8.13%.
Stocks Down
Trump Media & Technology Grouparrested its recent downturn and popped 12% at one point today, but gave all those gains up and ended the day down 1.16%.
You’d think the end of a multi-week labor dispute costing billions of dollars would be a relief for shareholders, but Boeing still sank 2.62% on news that it’s reached an agreement with striking machinists.
It’s a me, lower revenue forecasts! Nintendo fell 1.68% after announcing that sales of its Switch console are starting to sag.
Some of the smaller semiconductor stocks on the market took a beating today. NXP Semiconductor dropped 5.17% after announcing weaker-than-expected Q4 guidance, Lattice Semiconductor tumbled 1.37% after missing on sales forecasts and announcing job cuts, and while Cirrus Logic beat expectations this quarter, it still fell 7.09% on lower forecasts.
The S&P 500®index (SPX) rose 70.07 points (1.23%) to 5,782.76; the Dow Jones Industrial Average® ($DJI) added 427.28 points (1.02%) to 42,221.88; and the NASDAQ Composite®($COMP) increased 259.19 points (1.43%) to 18,439.17.
The 10-year Treasury note yield (TNX) dropped two basis points to 4.29%.
The CBOE Volatility Index® (VIX) slipped to 20.72.
In what some are calling the next iteration of the internet, the metaverse is an unfamiliar digital world where you could be an avatar navigating computer-generated places and interacting with others in real time. In this space, the constraints of our physical, bricks and mortar world and travel habits fade. And new opportunities and challenges emerge.
Google in healthcare: The search giant has repeatedly successfully transferred its in-depth knowledge of algorithms in the field of medicine, particularly since it acquired DeepMind.
Apple in healthcare: Apple will keep on working on expanding the health features of its devices, Apple Watch and iPhones included.
Microsoft in healthcare: Microsoft’s cloud solutions provide integrated capabilities that make it easier to improve the healthcare experience.
Amazon in healthcare: Amazon will make further use of its vast knowledge of online shopping trends and behavior and will keep on providing what people need, from medicine to wearables.
IBM in healthcare: IBM has a lot to offer in federated learning, blockchain, and quantum computing.
Nvidia in healthcare: NVIDIA seems incredibly focused on its approach to healthcare. We can expect NVIDIA to be a leader in the use of artificial intelligence in healthcare.
Facebook in healthcare: The Metaverse developed by Facebook/Meta has incredible potential to revolutionize healthcare.
All this technology has huge potential because it uses both virtual reality (VR) and augmented reality (AR) technology to work in virtual spaces: All signs point to the metaverse being widely used as a disruptive change in healthcare, from better surgical precision to therapeutic uses to social-distance accommodations and more.
But along with these improvements come new problems that will change what we know about modern healthcare. The metaverse is a paradigm shift in healthcare that everyone involved needs to be aware of. This is because it changes how medical infrastructure is built, how startup costs are covered, and how data security and privacy are handled.
Posted on October 19, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
MEDICAL EXECUTIVE-POST–TODAY’SNEWSLETTERBRIEFING
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Essays, Opinions and Curated News in Health Economics, Investing, Business, Management and Financial Planning for Physician Entrepreneurs and their Savvy Advisors and Consultants
“Serving Almost One Million Doctors, Financial Advisors and Medical Management Consultants Daily“
A Partner of the Institute of Medical Business Advisors , Inc.
CVS Health may be breaking up…with itself. The board of directors at CVS Health—the parent company of CVS Pharmacy, pharmacy benefit managerCVS Caremark, and insurance unit Aetna—are working with a group of bankers to review the company’s strategy, which according to Reuters, may lead to a split between its pharmacy division and Aetna.
Apple climbed 1.23% on a Bloomberg report that iPhone 16 demand has been shockingly strong in China.
Verizon Communications will purchase $1 billion worth of US Cellular’s wireless spectrum licenses. Verizon rose just 0.34%—but it’s a huge deal for US Cellular, which popped 7.22%, and Telephone and Data Systems, which owns 82% of US Cellular, and soared 15.40%.
Intuitive Surgical rose to a new all-time high, climbing 10.01% on strong earnings powered by sales of its da Vinci device.
Lamb Weston, the company behind the french fries you overindulge in every time you go out to dinner, is being pushed by activist investor Jana Partners toward exploring a sale. Shareholders rejoiced, and the stock rose 10.17%.
Stocks Down
CVS Health sank 5.23% on the news that CEO Karen Lynch will be replaced by David Joyner after three years at the helm of the struggling pharmacy/retailer. Joyner ran the company’s pharmacy service business for the last two years.
WD-40 seems like the staple of all consumer staples, but the company missed on both revenue and earnings estimates last quarter. Shares fell 4.79% on the news.
American Express dropped 3.15% after the credit card company reported a rare miss today, beating bottom-line estimates but missing revenue forecasts last quarter.
MGP Ingredients makes all the booze you drink under different brand names, but people aren’t drinking enough. The beverage maker issued preliminary earnings that included a 24% drop in sales. Shares tanked 24.16%.
Here’s where the major stock market benchmarks ended:
The S&P 500® index (SPX)rose 23.20 points (0.40%) to 5,864.67, a new record high close, to end the week up 0.85%; the Dow Jones Industrial Average® ($DJI) added 36.86 points (0.09%) to 43,275.91, also another record high finish, to end the week up 0.96%; and the $COMP gained 115.94 points (0.63%) to 18,489.55 to end the week up 0.80%.
The 10-year Treasury note yield (TNX) fell two basis points to 4.07%.
The CBOE Volatility Index® (VIX) fell to 18.17, the lowest since September 30.
A new survey results may prompt health systems to second-guess some of their future plans. A recent University of Michigansurvey found 74% of adults ages 50+ have “very little or no trust” in health info generated by AI. Maybe it’s not time to roll out chatbots on patient portals just yet.
Posted on October 18, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Are doctors using publicly available tools like ChatGPT? The answer, Fierce Healthcare finds, is yes. In the first in-depth look of its kind into physician use of public genAI tools, Fierce Healthcare spoke with nearly two dozen doctors, students, AI experts and regulators, and helped conduct a survey of more than 100 physicians. The reporting confirms that some doctors are turning to tools intended for non-clinical uses to make clinical decisions.
A collaborative survey between Fierce Healthcare and physician social network Sermo found that 76% of respondents reported using general-purpose LLMs in clinical decision-making. With no standardized guidelines, lagging physician training and regulators racing to try to keep up with rapidly changing technology, guardrails to protect patients appear to be years behind current rates of utilization.
Posted on October 9, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
BREAKING NEWS
By Staff Reporters
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he 2024 Nobel Prize in chemistry has been awarded to a trio of scientists who used artificial intelligence to “crack the code” of almost all known proteins, the “chemical tools of life.”
The Nobel Committee lauded David Baker, a US biochemist, for completing “the almost impossible feat of building entirely new kinds of proteins,” along with Demis Hassabis and John Jumper, who work at Google DeepMind, for developing an AI model to predict proteins’ complex structures – a problem that had been unsolved for 50 years.
“The potential of their discoveries is enormous,” the committee said as the award was just announced in Sweden. The prize, seen as the pinnacle of scientific achievement, carries a cash award of 11 million Swedish kronor ($1 million).
Posted on October 8, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
BREAKING NEWS
By Staff Reporters
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The Nobel Prize in Physics has been awarded to two researchers who helped build the foundations of the artificial intelligence that surrounds us today.
John Hopfield and Geoffrey Hinton both worked on machine learning techniques that would go on to power products such as ChatGPT.
Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
Posted on September 14, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
MEDICAL EXECUTIVE-POST–TODAY’SNEWSLETTERBRIEFING
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Essays, Opinions and Curated News in Health Economics, Investing, Business, Management and Financial Planning for Physician Entrepreneurs and their Savvy Advisors and Consultants
“Serving Almost One Million Doctors, Financial Advisors and Medical Management Consultants Daily“
A Partner of the Institute of Medical Business Advisors , Inc.
OpenAI says its new model can reason like a person. The ChatGPT-maker released a preview of a new artificial intelligence model that’s officially called o1 named by its internal code name, Strawberry—a reference to AI’s inability to determine the correct number of r’s in the word.
Microsoftplans to lay off 650 people in its Xbox unit.
Trump Media & Technology Group soared 11.79% on the former president’s announcement that he’s “not selling” his shares of the company.
What’s down
Adobe dropped 8.47% after beating top and bottom line forecasts last quarter but projecting weaker than expected earnings next quarter.
Garmin tumbled 5.12% after Barclays analysts downgraded the stock and cut their price target, citing the device-maker’s weak sales and low profit margin.
US-listed shares of Chinese retailers like Alibaba and PDD dropped 0.93% and 2.40%, respectively, on the news that President Biden announced the US will crack down on cheap goods from China. Etsy, which competes with these retailers, popped 7.56% on the news.
ViaSat sank 14.58% thanks to a deal between United Airlines and SpaceX to use Starlink satellites to provide free in-flight WiFi instead of ViaSat’s products.
The SPX advanced 30 points (0.5%) to 5,626.02 and was up 4% for the week; the Dow Jones Industrial Average® ($DJI) gained 297 points (0.7%) to 41,393.78 and added 2.6% for the week; the NASDAQ Composite® ($COMP) rose 114 points (0.7%) to 17,683.98 and was 6% higher for the week.
The 10-year Treasury note yield (TNX) edged 2 basis points lower to 3.66%.
The CBOE Volatility Index® (VIX) fell 0.6 points to 16.48.
JPMorgan Chase and Bank of America are pledging to put in more safeguards to prevent what their industry is infamous for: overworking junior employees, the Wall Street Journal reported this week.
Visualize: How private equity tangled banks in a web of debt, from the Financial Times.
The Financial Times reports that the ChatGPT-maker is discussing changing its corporate structure, which currently has it governed by a nonprofit entity, to make it more attractive to investors as the company works to complete a funding round that values it at $100 billion.
Posted on July 13, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
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The study examines the challenges of integrating new technologies in clinical practice, identified four primary barriers: insufficient knowledge of health system technology procurement protocols, which can vary across facilities; strict regulations and clinical trial requirements; obstacles in the health system technology procurement process; and competitive disadvantages for smaller startups.
Posted on July 2, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
MEDICAL EXECUTIVE-POST–TODAY’SNEWSLETTERBRIEFING
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Essays, Opinions and Curated News in Health Economics, Investing, Business, Management and Financial Planning for Physician Entrepreneurs and their Savvy Advisors and Consultants
“Serving Almost One Million Doctors, Financial Advisors and Medical Management Consultants Daily“
A Partner of the Institute of Medical Business Advisors , Inc.
Private equity gets a big accounting firm yet. The March story about private equity firm New Market Capital buying a $2.8 billion stake in accounting firm Grant Thorton was a big story. Private equity is gobbling up accounting firms, signaling a potential sea change in how accounting firms will operate in the future, with “more than half” of the top 20 accounting firms in talks with private equity.
The S&P 500® index (SPX) rose 14.61 points (0.27%) to 5,475.09; the Dow Jones Industrial Average® ($DJI) climbed 50.66 points (0.13%) to 39,169.52; the NASDAQ Composite® ($COMP) added 146.70 points (0.83%) to 17,879.30.
The 10-year Treasury note yield (TNX) rose 12 basis points to 4.47%, the highest level since May 30 and back above its 50-day moving average, a technically important move.
The CBOE Volatility Index® (VIX) slipped to 12.19.
Crude oil is up sharply over the last month amid rising Middle East tensions.
Spirit AeroSystems Holdings rose 3.35% on the news that Boeing plans to acquire the airplane parts supplier. Boeing shares rose a tepid 2.58%.
Birkenstock climbed 1.78% after UBS analysts rated the stock a “buy” and increased their price target 63% due to the company’s expansion plans.
French stocks rose on snap election results that showed the far-right National Rally may be unable to form a majority after the next round of elections on July 7.
What’s down
Chewy stock popped then dropped 6.63% after Roaring Kitty revealed a 6.6% stake in the pet products company.
GameStop shares fell 5.35% after CEO Ryan Cohen posted on Twitter/X for the first time in months to advertise a job opening.
Uber fell 2.17% and Lyft fell 0.92% on the news that Massachusetts now requires both companies to pay rideshare drivers $32.50 an hour, plus benefits.
Cruise stocks sank on the news that Hurricane Beryl is stronger than expected and will disrupt service throughout the Caribbean. Norwegian Cruise Line fell 5.86%, Carnival fell 5.40%, and Royal Caribbean fell 1.86%.
The largest nursing union in the US, National Nurses United (NNU), is sounding the alarm about the use of artificial intelligence (AI) in healthcare. In April, the union’s affiliate California Nurses Association (CNA) protested an AI conference helmed by managed care consortium Kaiser Permanente. Like workers in other sectors who are worried about AI encroachment, the nurses fear that the tech is contributing to the devaluation of their skills amid what they say is already a “chronic” understaffing crisis, nurses reported in an NNU survey of 2,300 registered nurses and members in early 2024.
“The informed voice of a new generation of fiduciary advisors for healthcare”
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Like market research analysts, financial analysts, personal financial advisors, and other jobs in personal finance that require manipulating significant amounts of numerical data can be affected by Artificial Intelligence, Mark Muro, a researcher at The Brookings Institute, said recently.
“AI can identify trends in the market, highlight what investments in a portfolio are doing better and worse, communicate all that, and then use various other forms of data by, say, a financial company to forecast a better investment mix.”
These analysts make a lot of money, he said, but parts of their jobs are auto-matable.
Posted on June 6, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
Seven [plus one] predictions for healthcare technology trends?
In the wake of a pandemic, shifting care delivery models, and a surge of clinical content, Wolters Kluwer healthcare experts have identified seven healthcare technology trends going forward.
1. Building trust in an age of digital information overload 2. Telemedicine becomes a fixture of the healthcare landscape 3. Resilience is key to retaining the nursing workforce 4. Unstructured health data helps researchers build health equity 5. AI reduces healthcare-associated infections (HAIs) 6. Quality improvement accelerates evidence to implementation 7. Virtual simulation and technology transforms nursing education
Posted on May 23, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
SPLITS STOCK 10:1ANNOUNCED
By Staff Reporters
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Nvidia sales rose 262% as AI keeps booming
The company whose chips are powering the Artificial Intelligence revolution saw an even bigger jump in sales last quarter than analysts had expected: to $26 billion.
That’s a good sign for the future of AI and probably for the entire stock market, on which Nvidia has an outsized influence. CEO Jensen Huang declared “the next industrial revolution has begun,” as Nvidia predicted $28 billion in sales this quarter. The company also announced plans to split its stock 10-for-1 next
Posted on April 26, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Microsoft is looking at a broader AI future than just OpenAI
Microsoft has been at the forefront of the AI revolution through its $13 billion stake in the ChatGPT-maker, but recently it showed it’s also making other Artificial Intelligence bets, announcing it will pursue several partnerships and is investing $2.1 billion in French startup Mistral AI. Mistral’s tech will be available to Microsoft Azure users.
And then Microsoft President Brad Smithtold Axios that OpenAI CEO Sam Altman is “brilliant”, but …… Read Axios Story.
Perhaps even to counter Mark Zuckerbergs META Platform.
Posted on April 26, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Big Artificial Intelligence Spending Boosts Meta’s Cost Structure!
Meta [Facebook, FB] reported record Q1 revenue yesterday, but it was overshadowed by the billions the company is spending in its efforts to win the AI race and to try to make the metaverse happen. Investors were displeased with the company’s forecast that its spending will rise by $10 billion to support AI development, sending Meta’s stock price down 15% after hours.
Now, the metaverse is a vision of a virtual reality where people can socialize, work, play, and explore in immersive digital spaces.
But CEO Mark Zuckerberg urged them to keep the faith, saying, “We’ve historically seen a lot of volatility in our stock during this phase of our product playbook.”
Posted on April 18, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Jamie Dimon is bearish on a soft landing but bullish on AI
In his annual letter to shareholders, JPMorgan Chase CEO Jamie Dimon just said that the odds interest rates return to the Fed’s target of 2% without triggering a recession are “a lot lower” than the 70%–80% chance that several markets seem to have priced in.
Dimon said JPMorgan is preparing for interest rates to possibly spike to 8% in the coming years, citing geopolitical risks, the green transition, and higher energy costs (but he’s notorious for having cautious outlooks). Artificial intelligence also topped Dimon’s list of pressing issues, and he’s “completely convinced” that AI’s impact will be “extraordinary”—maybe even as revolutionary as the printing press or the steam engine.
Posted on April 6, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
THE AMA A.U.I. REPORT
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By Staff Reporters
Doctors are excited—yet cautious—about the role augmented intelligence (AUI) could play in the future of healthcare. That’s the takeaway from an American Medical Association (AMA) survey released last month.
About two-thirds (65%) of 1,000+ physicians that the AMA surveyed in August 2023 agreed that there was at least some advantage to using AUI-powered tools, particularly when it comes to diagnostic ability (72%), work efficiency (69%), and clinical outcomes (61%). More than half (56%) of doctors said AUI tools could best help address administrative burdens.
Posted on April 6, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Intel revealed that its semiconductor-making unit lost $7 billion last year. The news sent the company’s stock down.
And, Amazon is laying off hundreds of employees from its cloud computing division, including the team overseeing its cashierless tech (and not just the Just Walk Out feature it’s pulling from stores), as well as people sales and marketing roles.
Posted on March 18, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Salesforce just announced new AI solutions for health-care workers that could help automate some of the manual administrative tasks that are driving physician burnout. READ MORE
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On Friday, National Association of Realtors (NAR) agreed to pay $418 million over the next four years to settle several lawsuits alleging it artificially inflated realtor commissions. Included in the deal is a policy change that will likely obliterate agents’ 5%–6% commissions.
Posted on March 5, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
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Rallies from Artificial Intelligence related companies weren’t enough to keep the major indexes from falling yesterday. Meanwhile, bitcoin continued its journey toward the sky, getting close to an all-time record.
And it wasn’t the only cryptocurrency having a banner day: memecoins like dogecoin, pepe, and dogwifhat all soared.
Posted on February 23, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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You can’t stop Nvidia and AI? The tech stock continued its post-earnings explosion yesterday, skyrocketing 16% and taking the entire stock market along with it. All three major indexes increased, with the S&P 500 notching another record high, as investors rode the surging waves.
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Nvidia’s Q4 and full-year 2023 earnings smashed records, all but ensuring AI hype will continue for the foreseeable future. The chipmaker reported Q4 revenue of $22.1 billion, up 265% from Q4 2022, and a diluted EPS of $4.93, up 33% from last quarter and a whopping 765% from this time last year. (And, no, Lyft, those aren’t typos.)
“Accelerated computing and generative AI have hit the tipping point,” Nvidia’s founder and CEO Jensen Huang crowed in a press release. “Demand is surging worldwide across companies, industries, and nations.”
Nvidia’s made itself inescapable merely by virtue of being so big. Last week, it became the nation’s third-largest company, reaching a market cap of $1.83 trillion. It’s driven about a third of the NASDAQ 100’s gains this past year, according to Fast Company. That being the case, Nvidia’s performance can serve as a litmus test for the stock market itself.
Posted on February 23, 2024 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Big tech companies are continuing to pour cash into artificial intelligence at a breakneck pace. And based Bion the earnings update Wednesday from Nvidia, much of it is going to that chip maker. “This last year, we’ve seen generative AI really becoming a whole new application space, a whole new way of doing computing,” Jensen Huang, Nvidia’s co-founder and chief executive, said Wednesday. “A whole new industry is being formed, and that’s driving our growth.”
Pharmacies across the country are reporting delays to prescription orders due to a cyberattack against one of the nation’s largest health-care technology companies. Change Healthcare, a company handling orders and patient payments throughout the U.S., first noticed the “cyber security issue” affecting its networks Wednesday morning on the East Coast.
Here’s where the major benchmarks ended:
The S&P 500 index rose 105.23 points (2.1%) to 5,087.03; the Dow Jones Industrial Average gained 456.87 points (1.2%) to 39,069.11; the NASDAQ Composite rallied 460.75 points (3%) to 16,041.62.
The 10-year Treasury note yield (TNX) was little changed at 4.323%.
The CBOE Volatility Index® (VIX) fell 0.84 to 14.50.
Nvidia sparked a 5% rally in the Philadelphia Semiconductor Index (SOX) and a 3% gain in the NASDQ-100®(NDX), both of which ended at all-time highs. Consumer discretionary shares were also among the strongest sectors Thursday. The small-cap Russell 2000® Index (RUT) rose 1% and halted a three-day slide.
According to Joe Mazzola, director of trading and education at Schwab, Nvidia had a “profound effect” at both the sector and index level, partly reflecting its market value, which is nearing $2 trillion. Nvidia is now the third largest company behind Microsoft (MSFT) and Apple (AAPL).
Investors are a day away from an inflation report that may offer some direction in a young year that has seen markets meander, with a brief sell-off and a partial rally back. More action may come as Wall Street banks kick off earnings season on Friday.
Here is where the major benchmarks ended:
The S&P 500 index rose 26.95 points (0.6%) to 4,783.45, a two-year closing high; the Dow Jones Industrial Average® (DJI) increased 170.57 points (0.5%) to 37,695.73; the NASDAQ Composite gained 111.94 points (0.8%) to 14,969.65.
The 10-year Treasury note yield (TNX) added about 2 basis points to 4.04%.
The CBOE® Volatility Index (VIX) fell 0.06 to 12.70.
Among market sectors, the S&P 500 Communication Services Index (SP500#50), which includes “mega-cap” tech companies like Google parent Alphabet (GOOGL) and Facebook parent Meta Platforms (META), gained 1.2% and ended near a two-year high. Consumer discretionary shares were also firm. Energy stocks were one of the weakest performers behind a 1.3% drop in crude oil futures.
Peterson noted strength in tech shares may in part reflect news from this week’s Consumer Electronics Show in Las Vegas, with escalating bullishness surrounding artificial intelligence (AI) driving further gains in Nvidia (NVDA) and other chip companies capable of serving the most advanced forms of AI. Nvidia has jumped more than 10% so far this week and posted a record high for the third straight day.
Posted on December 7, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
LLM
By Staff Reporters
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About a year after OpenAI’s launch of ChatGPT brought the simmering artificial intelligence race to a boil, Google’s highly anticipated AI model, Gemini, has finally joined the competition. Released yesterday, Gemini is a large language model (LLM) that Google CEO Sundar Pichai and executives at the company’s DeepMind AI division say will revolutionize generative technology for business and daily life.
The tech is a family of three models that Google is slowly looping into its suite of services:
Gemini Nano is mainly for mobile devices. As of yesterday, Google Pixel 8 Pro owners could enlist Gemini Nano to summarize audio recordings or draft automatic message replies.
Gemini Pro is a midsize offering designed for more complex tasks. Pro now powers Google’s chatbot, Bard, but the AI tech isn’t available to Google Cloud customers until Dec. 13.
Gemini Ultra, the powerhouse version geared toward data centers and large companies, will launch next year and underpin “Bard Advanced,” a new chatbot that will be able to simultaneously process text, images, audio, and video, according to Google’s prerecorded demonstrations.
If Gemini can do what Google promises, it could chip away at OpenAI’s lead in the LLM space.
Posted on November 22, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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The good times keep rolling for the chip maker. Q3 revenue increased 206% year over year to $18.1 million, topping Wall Street’s estimates of about $16.2 billion. The company’s stock has more than tripled amid the AI boom this year, accounting for a big part of the S&P 500’s tech-fueled rise.
And yet, shares ticked down from record highs in after-hours trading on Tuesday after Nvidia tempered expectations for Q4 due to new restrictions on chip exports to China.
ChatGPT was launched nearly a year ago, in November 2022. Powered by a large language model trained on 570 gigabytes of internet data (300 billion words), the chatbot can generate text that eerily mimics human speech—but with far more information at its disposal than an actual person. Amazon is not the only company using AI to create theoretically better ads.
Meta announced its version of an ad generator last month, promising advertisers “a new era of creativity that maximizes the productivity, personalization, and performance” of campaigns.
Google says its product will allow the future of advertising to evolve.
TikTok has Creative Assistant, which “draws information from a wealth of TikTok-focused creative knowledge, providing you with the most relevant responses for when you’re creating ads.”
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But, ChatGPT is not the same for mental health. Experts are warning that while chatbots can offer basic mental health support, they’re not equipped to provide clinical support and can raise thorny issues.
Ethics: Therapists are trained and licensed and must maintain a certain standard of care; a chatbot isn’t and doesn’t.
Privacy: When you ask a chatbot a question, you could be putting sensitive information on the internet.
Safety: A chatbot can give false information (more on that below) or provide harmful instructions.
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ChatGPT in Education:
The bar exam: GPT-4 was in the 90th percentile with a score of 298 out of 400. GPT-3.5 came in the 10th percentile.
The SAT: GPT-4 scored 1400 out of 1600, ranking in the 89th percentile of test-takers. GPT-3.5 scored 1260.
AP exams: GPT-4 received a 5 on Art History, Biology, Environmental Science, Macroeconomics, Microeconomics, Psychology, Statistics, US Government, and US History, according to OpenAI. GPT-3.5 received a 5 only on Art History and Psychology.
Sommelier exams: GPT-4 has also passed the Introductory Sommelier, Certified Sommelier, and Advanced Sommelier exams with scores of 92%, 86%, and 77%, respectively. GPT-3.5 had a less discerning palate, earning marks of 80%, 58%, and 46%.
Posted on October 30, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Biden will issue sweeping executive order on A.I. Today
The Biden administration just released an executive order today to regulate AI technology. The directive aims to leverage the government’s role as a leading technology customer by requiring advanced AI models to undergo assessments before they can be used by federal employees. It would also ease barriers to immigration for highly skilled workers in an attempt to boost the US’ technological edge.
The federal government is rolling back a pandemic-era waiver that lowered the bar for 340B hospitals to dispense discounted drugs across some outpatient clinics. Hospitals argue the decision will “stifle” future efforts to expand access to under served communities.
Posted on October 19, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Bertalan Mesko MD PhD
“The Medical Futurist”
Microsoft introduced new tools in Microsoft Fabric and Azure AI for healthcare organizations.
These can combine data from sources such as electronic health records, images, lab systems, medical devices, and claims systems so organizations can standardize it and access it in the same place.
Posted on July 3, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Investors are coming out of the mid-year investing season enthused and thanks to an Artificial Intelligence fueled stock market rally that turned into an everything rally.
The NASDAQ posted its best H1 since 1983, and the S&P 500 had its best first-half performance since 2019.
But, don’t expect Wall Street fireworks for the next few days. The US stock market will close early today and shut down tomorrow for Independence Day.
Posted on May 30, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Theranos’ founder, Elizabeth Holmes, is finally set to report to prison today. After several delays, she’s expected to report to a federal prison in Texas by 2 p.m. Once worth $4.5 billion, Holmes can expect a drastic change in lifestyle. The Theranos founder turned convicted fraudster is set to bid adieu to her freedom and her estate home costing $13,000 a month as she commences an 11-year prison sentence.
The AI hype train that left the station last November with ChatGPT’s release made its grand arrival on Wall Street last week. According to Bloomberg, the top seven tech stocks (Microsoft, Alphabet, etc.) gained a combined $454 billion in market cap over five days, fueled by Nvidia’s earnings report that many considered a watershed moment for the technology. AI’s disruptive potential is why the tech-heavy Nasdaq is leaving the other indexes in the dust this year.
Posted on May 27, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Staff Reporters
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Money managers often share their thoughts in real time, but fewer still have 50 years of experience navigating the markets. Hedge fund manager Doug Kass is one of them.
Kass, who offers his stock picks and insights in his Real Money Pro Daily Diary, doesn’t pull any punches when it comes to managing risk. He recently told investors interested in artificial intelligence that the road to AI profits will likely be rockier than expected for the likes of Nvidia (NVDA) – Get Free Report, Microsoft (MSFT) – Get Free Report, Alphabet (GOOGL) – Get Free Report, and C3.ai (AI) – Get Free Report.
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Here is where the major benchmarks ended yesterday:
The S&P 500® Index was up 54.17 points (1.3%) at 4205.45; the Dow Jones industrial average was up 328.69 (1.0%) at 33,093.34; the NASDAQ Composite was up 277.59 (2.2%) at 12,975.69.
The 10-year Treasury yield was little changed at 3.81%.
CBOE’s Volatility Index was down 1.22 at 17.93.
Tech remains the runaway upside leader among sectors, with the Philadelphia Semiconductor index soaring over 6% to a 14-month high Friday. The NASDAQ-100 also ended near a 14-month high. Communications services and real estate were also strong.
Oilfield services and other energy companies were among the weakest sectors, despite a jump of more than 1% in crude oil futures.
Posted on March 3, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
By Bertalan Mesko MD PhD
The Medical Futurist
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Pictures, text prompts, documents and health metrics are just a few examples of data we’re giving away to different AI applications and thus, to different companies/organizations.
What happens to this data? Who owns the various outputs generated by us and/or algorithms? We dig into this topic and were not feeling at ease by the end of the trip.
Posted on February 11, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
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In the patient-physician relationship, time is precious. Nuance DAX helps physicians to focus on patient care during appointments—instead of paperwork and documentation. Nuance DAX uses sophisticated conversational AI and ambient technology to capture and contextualize the patient encounter, reducing documentation time by 50%.
Posted on February 8, 2023 by Dr. David Edward Marcinko MBA MEd CMP™
The AI Gloves are Coming Off?
By Staff Reporters
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Google (GOOG, GOOGL) just announced several new AI-powered features for its Search, Maps, and Lens apps. The announcement comes just a day after rival Microsoft (MSFT) rolled out a new version of its Bing search engine complete with generative AI capabilities, bringing a rare threat to Google’s search supremacy.
But, shares of Google parent company Alphabet were down more than 7% today as investors expressed skepticism about these new features.