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- 🤖 Catfishing, prescription selfies, and the death of the dollar
🤖 Catfishing, prescription selfies, and the death of the dollar
2/14/23
Neon Pulse Team
February 14, 2023
Good morning and welcome to today’s issue of neonpulse!
Here's what we have for you today:
The death of the dollar
Catfishing 101
And the future of cancer detection
ChatGPT predicts rise of the yuan
While the US dollar has been the world reserve currency since World War 2, ChatGPT has foretold the rise of the Chinese yuan as a contender for the reserve currency of the future.
When asked whether the US dollar or the Chinese yuan would be dominant in the future, ChatGPT had this to say:
"The US dollar has been the dominant international currency for much of the past century, and it remains widely used and accepted as a store of value, a medium of exchange, and a unit of account."
"Its widespread use, particularly in international trade, gives the US dollar significant influence on the world stage. However, in recent years, there have been efforts to reduce the dollar's dominance and increase the use of other currencies, such as the euro and the yuan, in international transactions."
For close to a year, Russia, China, and other BRIC nations have been holding talks to discuss the creation of a new resource-backed world reserve currency, and with China pushing to purchase oil in yuan instead of dollars, it may only be a matter of time before the US dollar no longer reigns supreme…
Might be a good to time to brush up on your Mandarin.
ChatGPT Catfishing- A how-to guide
If you’re looking for a lucrative side hustle and don’t mind breaking a few laws, I have the perfect business model for you…
Catfishing hopeless men and women with the help of A.I.
The process is simple:
Step 1: Create realistic photos using a tool like Stable Diffusion
Step 2: Find an unsuspecting victim and develop a relationship with the assistance of ChatGPT
Step 3: Profit!
With minimal overhead and no inventory required, this might just be the perfect business model.
All joking aside, because of how prevalent catfishing scams are, and because of the rapid evolution of A.I. technology, organizations like The Canadian Antifraud Centre have been forced to step in to help deal with the issue.
According to their Cyber Threat Assessment for 2023/2024:
“As deepfakes become harder to distinguish from genuine content and the tools to create convincing deepfakes become more widely available, cyber threat actors will very likely further incorporate the technology into their campaigns, allowing them to increase the scope, scale, and believability of influence activities.”
In regards to tools like ChatGPT, a member of the center said that “Text generators have progressed to a point where the content they produce is often nearly indecipherable from legitimate material.”
And while romance scams currently require a human behind the scenes, the Antifraud Center anticipates a time in the not-too-distant future where that’s no longer the case:
“Even though scamming is very prevalent right now, there’s still a cost to do it because a human has to sit there and spend their time, but if you can have AI do it to a million people a day and just sit and watch the money roll in, that’s a scary place to be — and that is something that is possible with this technology.”
Welcome to the future.
Harnessing the power of A.I for early skin cancer detection
A classic saying is that an ounce of prevention is worth a pound of cure, and the early diagnosis of cancer is no exception to the rule.
Skin cancer, when detected early, has a 98% 5 year survival rate.
Yet the survival falls sharply to 22.5% if the cancer goes undiagnosed and is able to spread to other organs.
The traditional methods for detecting skin cancer include physical examinations, diagnostic imaging, and biopsies.
But in the near future, deep learning models will detect cancer at earlier stages in the disease’s development, leading to better outcomes for millions.
In regards to how a deep learning system would function for skin cancer detection, Subh Bhattacharya, AMD’s Healthcare & Sciences lead, explains:
“A medical, AI-based deep learning method to detect critical illnesses like melanoma can be developed in two stages. The first stage is to create and train a model using available medical images previously taken using dermatoscopic (skin surface microscopic) cameras.”
“The second stage is to deploy that trained model on a small computing device with a camera and perform AI inference on the trained model to produce a result on a patient demonstrating a visible skin abnormality.”
“The creation and training of the neural network model require the availability of large, clean, and labeled datasets, and datasets typically need to be as large as possible (with hundreds of thousands of images) for the inferencing accuracy to be high.”
“Fortunately, there are cleaned, pre-processed medical imaging datasets that can be obtained which have been released for academic research.”
And with the ever improving quality of smart phone cameras, it’s not hard to imagine a future where a skin cancer screening is as simple as downloading an app and snapping a few photos of yourself…
Finally providing influencer’s a plausible cover story for their non stop selfies.
And now your moment of zen
That’s all for today folks!
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