Consumer Advisor

Machine learning (ML) and artificial intelligence (AI) are two terms that are often used interchangeably, but they are not the same thing. While they are related, there are some key differences between them. In this article, we will explore the differences between machine learning and artificial intelligence, and how they work together to create intelligent systems. What is Machine Learning? Machine learning is a subset of artificial intelligence that involves training a computer system to learn and make predictions based on data. It is a type of algorithm that allows computers to learn from experience without being explicitly programmed. In other words, instead of telling a computer exactly what to do, you provide it with data and allow it to learn on its own. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is the most common type of machine learning. It involves training a computer system on

A study published in 2021 has suddenly gone viral over the last two days as someone realized it showed how the combination of bromelain and acetylcysteine (both commonly known in the supplement industry) may inactivate the spike protein by altering its morphology, rendering it unable to attack cells in the body. I’m not sure who first started publicizing this study, but I found it widely posted on  Brighteon.social . The study is titled, “The Combination of Bromelain and Acetylcysteine (BromAc) Synergistically Inactivates SARS-CoV-2.” It was published in the journal  Viruses  and  appears on Researchgate.net  as well as other science article indexing hubs. The full text of the article is available to the public for free. Authored by a group of researchers — with Ahmed Mekkawy the lead researcher — the study looked at how bromelain and acetylcysteine — also known as the supplement form NAC — alters the glycoproteins of the spike protein. The following chart shows changes in the opacity

Over three years into the pandemic with nearly the entire country having become sick with SARS-CoV-2, a virus engineered to invade the body, there are millions suffering with long-hauler syndrome. Approximately half of patients admitted to the ICU with COVID-19 will have post-COVID syndrome which is now understood to be due to persistence of the SARS-CoV-2 Spike protein within cells, tissues, and organs. Those vaccinated have been additionally loaded with Spike, so may have even a worse course with prolonged symptoms including fatigue, lethargy, brain fog, muscle loss, skin and hair changes, sleeplessness, and effort intolerance. The magnitude of the problem has driven an all-encompassing search for management strategies to resolve the syndrome(s). Hope is on the horizon with a preprint paper published by Halma et al summarizing the prescription drug and over-the-counter candidates for therapy. In my practice, I stylize the approach based on the patient and how recent the COVID-19 infe

Introduction: Artificial intelligence has come a long way in recent years, and language models have been at the forefront of this revolution. Among the most notable language models are ChatGPT, GPT-4, and AutoGPT, each designed to enhance natural language processing and communication between humans and machines. These models have the potential to change the way we interact with technology, and in this article, we will explore the differences between these models and their potential impact on the future of AI. ChatGPT ChatGPT is a language model developed by OpenAI that is designed to simulate human-like conversations. It is based on the GPT-3 architecture, which uses a deep neural network to generate human-like text. ChatGPT is designed to respond to user inputs in a natural and engaging way, making it ideal for chatbots, virtual assistants, and other applications that require human-like communication. One of the unique features of ChatGPT is its ability to generate text that is contex

In today's world, it is hard to imagine a life without the internet. With an infinite amount of data and information available at our fingertips, it's easy to get lost in the vast sea of search results. When it comes to finding information, there are two popular methods that people use: ChatGPT and Google Search. Both of these methods are used for information gathering, but they differ in various ways. In this article, we will explore the differences between ChatGPT and Google Search. ChatGPT, which stands for "Chat Generative Pre-training Transformer," is an AI-based chatbot designed to converse with humans in a natural language. It is based on the GPT architecture and is designed to understand the context and intent of the user's questions. ChatGPT can answer questions on a variety of topics ranging from general knowledge to current events. It can also help users with day-to-day tasks like setting alarms, making appointments, and sending messages. On the other h

Introduction This article will focus on provitamin A (carotenoids) and vitamin E (tocochromanols), and reveal the critical differences between  synthetic , “ natural” , and  plant-based  forms.   In this article, you will learn these 3 valuable lessons: Which types of vitamins increase the risk of cancer, stroke, and heart disease:  Learn why synthetic, or even so-called “natural” vitamin supplements, can be a threat to your health. The critical importance of mixed vitamers:  Learn how a broad-spectrum of vitamers is essential for health and which ones you need the most – carotenoids and tocotrienols. Easy tips on interpreting the Supplement Facts panel:  Learn how to spot the harmful vitamins in both food and supplements. Provitamin A and vitamin E are not single substances but are in fact  groups  of vitamers. [1] Most conventional vitamin supplements only contain a  single