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Bombshell Research Finds a Staggering Number of Scientific Papers Were AI-Generated

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Like any crappy human writer, AI chatbots have a tendency to overuse specific words — and now, scientists are using that propensity to catch their colleagues when they secretly use it in their work.

As the New York Times reports, scientists estimate, based on an analysis of those overused terms, that there could already be hundreds of thousands of academic papers written with the assistance of AI.

In a new study published in the journal Science Advances, researchers from Germany’s University of Tübingen identified some 454 words that large language models (LLMs) use frequently — terms like “garnered,” “encompassing,” and “burgeoning” — and found that anywhere from 13.5 to 40 percent of biomedical article abstracts were written entirely or with assistance from AI.

With roughly 1.5 million papers indexed each year on the academic journal database PubMed, that means that at least 200,000 of those papers could have been written with the help of LLMs. That whopping figure may, as the NYT notes, be conservative when accounting for any intentional editing of AI-generated text.

While some deceptive journal writers take pains to conceal their AI use, others didn’t seem to care who knew. In an example posted on X by Arizona State University computer scientist Subbarao Kambhampati, for instance, the “writers” of a low-quality radiology journal left in an acknowledgement that it had been penned by a chatbot.

“I’m very sorry,” the paper quote reads, “but I don’t have access to real time-information or patient-specific data as I am an AI language model.”

Not all mistakes are going to be that obvious. Unless you’re familiar with the term “regenerate response” — an option on ChatGPT that forces the chatbot to rework a shoddy answer — you could easily miss it being sprinkled throughout respected journals, the blog Retraction Watch found back in 2013.

That same blog also flagged a frustrating debacle involving a paper about millipedes with completely made-up references, which was initially withdrawn from a pre-print server, only to reappear online on a different academic database with those same hallucinated sources.

And let’s not forget the journal that was forced to retract a paper after observers noticed it was filled with nonsense, including an AI-generated image of a rat with comically gigantic genitals.

Complicating matters, academics are taking pains to hide their AI use. As Kambhampati told the NYT, academics have even started changing the way they write so their work won’t be mistaken for AI, removing terms like “delve” that are overused by LLMs.

In the Science Advances paper, the Tübingen researchers proffer that all this AI use in academic journals, if corroborated, could be an “unprecedented impact on scientific writing in biomedical research, surpassing the effect of major world events such as the COVID pandemic.”

To the mind of coauthor Dmitry Kobak, however, the whole thing seems counterintuitive.

“I would think for something as important as writing an abstract of your paper,” he told the NYT, “you would not do that.”

More on AI: OpenAI Says It’s Hired a Forensic Psychiatrist as Its Users Keep Sliding Into Mental Health Crises



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2 Artificial Intelligence (AI) Stocks That Could Help Make You a Millionaire

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The cat is out of the bag with artificial intelligence (AI). Trillions of dollars in value have been added to stock portfolios on the backs of the AI revolution in just a few years. Nvidia is knocking on the door of a $4 trillion market capitalization. It is difficult to find undervalued AI stocks right now.

But it is not impossible. Here are two AI stocks — ASML (ASML -0.73%) and Alphabet (GOOG 0.51%) — that look undervalued and can help investors become millionaires if they buy and hold for the long term.

Image source: Getty Images.

Helping build advanced computer chips

ASML is the leading seller of lithography equipment for making advanced semiconductors. In some cases, it is the only provider on the market. Lithography in this case is the use of lights and lasers to print tiny patterns on objects such as semiconductors. Advanced semiconductors require intricate designs over microscopic areas, which helps them generate more efficient computing power for AI applications.

With its advanced extreme ultraviolet lithography systems (EUV), ASML is the only provider of machines that help make advanced semiconductors for the likes of Nvidia. This makes it a vital point in the semiconductor supply chain and a monopoly seller of its equipment today. Not a bad place to be in when semiconductor demand is soaring because of the insatiable need for more AI computer chips.

Over the past 12 months, ASML generated $33 billion in revenue, which has grown a cumulative 353% in the last 10 years. Operating income has grown 551% to $11 billion. The company’s growth is not linear because of lumpy equipment sales to large factories and the cyclicality of the semiconductor industry, but over the long term, demand prospects look fantastic. Manufacturers are planning hundreds of billions of dollars in capital expenditures to build new semiconductor factories. These factories will be stuffed with ASML lithography equipment.

ASML has a trailing price-to-earnings (P/E) ratio of 33. This is not dirt cheap in a vacuum, but I believe it makes the stock undervalued because of its future growth prospects, which will bring this P/E ratio down to a much more reasonable level. Buy ASML stock today and hold on tight for the long term.

ASML PE Ratio Chart

ASML PE Ratio data by YCharts

AI for consumers and enterprises

One of the reasons for the increased demand for computer chips and ASML equipment — perhaps the largest reason — is Alphabet. The owner of Google, Google Cloud, YouTube, Waymo, and Gemini keeps doubling down on AI.

The big technology company can win in AI by playing two fronts: consumer and enterprise applications. With everyday users it is adding new AI tools to Google Search while building out advanced conversational AI with the Gemini application. Gemini now has an estimated 350 million active users and is growing rapidly, although it is still smaller than OpenAI’s ChatGPT.

With immense scale and resources, Alphabet will be able to deploy AI tools across its applications that are used by billions of people around the globe.

On the enterprise side, Google Cloud is one of the leading AI cloud companies due to its advanced computing infrastructure. Google Cloud revenue grew 28% year over year last quarter to $12.3 billion, making it the fastest-growing segment for Alphabet. The division has invested heavily in its own computer chips called Tensor Processing Units (TPUs), which make it more efficient to build AI software applications on Google Cloud.

There is expected to be hundreds of billions of dollars spent on AI cloud workloads in the coming years, which will help Google Cloud keep growing as a bigger piece of the Alphabet pie.

Overall, Alphabet generated a whopping $360 billion in revenue over the past 12 months and $117.5 billion in operating income. Investors were previously worried about saturation of usage at Google Search, which has now proliferated around the globe. However, with the rise of AI applications, Alphabet looks to have increased its addressable market in organizing the world’s information, the company’s famous slogan. This will help revenue and earnings keep growing over the next decade.

Today, you can buy Alphabet stock at a measly P/E ratio of 20. This makes the stock undervalued if you plan on holding for many years into the future.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Brett Schafer has positions in Alphabet. The Motley Fool has positions in and recommends ASML, Alphabet, and Nvidia. The Motley Fool has a disclosure policy.



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Russia allegedly field-testing deadly next-gen AI drone powered by Nvidia Jetson Orin — Ukrainian military official says Shahed MS001 is a ‘digital predator’ that identifies targets on its own

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Ukrainian Major General Vladyslav (Владислав Клочков) Klochkov says Russia is field-testing a deadly new drone that can use AI and thermal vision to think on its own, identifying targets without coordinates and bypassing most air defense systems. According to the senior military figure, inside you will find the Nvidia Jetson Orin, which has enabled the MS001 to become “an autonomous combat platform that sees, analyzes, decides, and strikes without external commands.”

Digital predator dynamically weighs targets

With the Jetson Orin as its brain, the upgraded MS001 drone doesn’t just follow prescribed coordinates, like some hyper-accurate doodle bug. It actually thinks. “It identifies targets, selects the highest-value one, adjusts its trajectory, and adapts to changes — even in the face of GPS jamming or target maneuvers,” says Klochkov. “This is not a loitering munition. It is a digital predator.”



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Artificial Intelligence Predicts the Packers’ 2025 Season!!!

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On today’s show, Andy simulates the Packers 2025 season utilizing artificial intelligence. Find out the results on today’s all-new Pack-A-Day Podcast! #Packers #GreenBayPackers #ai To become a member of the Pack-A-Day Podcast, click here: https://www.youtube.com/channel/UCSGx5Pq0zA_7O726M3JEptA/join Don’t forget to subscribe!!! Twitter/BlueSky: @andyhermannfl If you’d like to support my channel, please donate to: PayPal: https://paypal.me/andyhermannfl Venmo: @Andrew_Herman Email: [email protected] Discord: https://t.co/iVVltoB2Hg





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