Deep learning-based generative art is being researched. As usual, self-learning is better. Some models, like OpenAI's DALL-E 2, require registration and can only be used online, but others can be used locally, which is usually more enjoyable for curious users. I'll demonstrate the Stable Diffusion model's operation on a standard PC.

Let’s get started.

What It Does

Stable Diffusion uses numerous components:

• A generative model trained to produce images is called a diffusion model. The model is incrementally improving the starting data, which is only random noise. The model has an image, and while it is being trained, the reversed process is being used to add noise to the image. Being able to reverse this procedure and create images from noise is where the true magic is (more details and samples can be found in the paper).

• An internal compressed representation of a latent diffusion model, which may be altered to produce the desired images, is used (more details can be found in the paper). The capacity to fine-tune the generation process is essential because producing pictures at random is not very attractive (as we can see, for instance, in Generative Adversarial Networks).

• A neural network model called CLIP (Contrastive Language-Image Pre-training) is used to translate natural language prompts into vector representations. This model, which was trained on 400,000,000 image-text pairs, enables the transformation of a text prompt into a latent space for the diffusion model in the scenario of stable diffusion (more details in that paper).

This figure shows all data flow:

The weights file size for Stable Diffusion model v1 is 4 GB and v2 is 5 GB, making the model quite huge. The v1 model was trained on 256x256 and 512x512 LAION-5B pictures on a 4,000 GPU cluster using over 150.000 NVIDIA A100 GPU hours. The open-source pre-trained model is helpful for us. And we will.

Install

Before utilizing the Python sources for Stable Diffusion v1 on GitHub, we must install Miniconda (assuming Git and Python are already installed):

wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh
chmod +x Miniconda3-py39_4.12.0-Linux-x86_64.sh
./Miniconda3-py39_4.12.0-Linux-x86_64.sh
conda update -n base -c defaults conda

Install the source and prepare the environment:

git clone https://github.com/CompVis/stable-diffusion
cd stable-diffusion
conda env create -f environment.yaml
conda activate ldm
pip3 install transformers --upgrade

Download the pre-trained model weights next. HiggingFace has the newest checkpoint sd-v14.ckpt (a download is free but registration is required). Put the file in the project folder and have fun:

python3 scripts/txt2img.py --prompt "hello world" --plms --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

Almost. The installation is complete for happy users of current GPUs with 12 GB or more VRAM. RuntimeError: CUDA out of memory will occur otherwise. Two solutions exist.

Running the optimized version

Try optimizing first. After cloning the repository and enabling the environment (as previously), we can run the command:

python3 optimizedSD/optimized_txt2img.py --prompt "hello world" --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

Stable Diffusion worked on my visual card with 8 GB RAM (alas, I did not behave well enough to get NVIDIA A100 for Christmas, so 8 GB GPU is the maximum I have;).

Running Stable Diffusion without GPU

If the GPU does not have enough RAM or is not CUDA-compatible, running the code on a CPU will be 20x slower but better than nothing. This unauthorized CPU-only branch from GitHub is easiest to obtain. We may easily edit the source code to use the latest version. It's strange that a pull request for that was made six months ago and still hasn't been approved, as the changes are simple. Readers can finish in 5 minutes:

• Replace if attr.device!= torch.device(cuda) with if attr.device!= torch.device(cuda) and torch.cuda.is available at line 20 of ldm/models/diffusion/ddim.py ().

• Replace if attr.device!= torch.device(cuda) with if attr.device!= torch.device(cuda) and torch.cuda.is available in line 20 of ldm/models/diffusion/plms.py ().

• Replace device=cuda in lines 38, 55, 83, and 142 of ldm/modules/encoders/modules.py with device=cuda if torch.cuda.is available(), otherwise cpu.

• Replace model.cuda() in scripts/txt2img.py line 28 and scripts/img2img.py line 43 with if torch.cuda.is available(): model.cuda ().

Run the script again.

Testing

Test the model. Text-to-image is the first choice. Test the command line example again:

python3 scripts/txt2img.py --prompt "hello world" --plms --ckpt sd-v1-4.ckpt --skip_grid --n_samples 1

The slow generation takes 10 seconds on a GPU and 10 minutes on a CPU. Final image:

Hello world is dull and abstract. Try a brush-wielding hamster. Why? Because we can, and it's not as insane as Napoleon's cat. Another image:

Generating an image from a text prompt and another image is interesting. I made this picture in two minutes using the image editor (sorry, drawing wasn't my strong suit):

I can create an image from this drawing:

python3 scripts/img2img.py --prompt "A bird is sitting on a tree branch" --ckpt sd-v1-4.ckpt --init-img bird.png --strength 0.8

It was far better than my initial drawing:

I hope readers understand and experiment.

Stable Diffusion UI

Developers love the command line, but regular users may struggle. Stable Diffusion UI projects simplify image generation and installation. Simple usage:

• Unpack the ZIP after downloading it from https://github.com/cmdr2/stable-diffusion-ui/releases. Linux and Windows are compatible with Stable Diffusion UI (sorry for Mac users, but those machines are not well-suitable for heavy machine learning tasks anyway;).

• Start the script.

Done. The web browser UI makes configuring various Stable Diffusion features (upscaling, filtering, etc.) easy:

V2.1 of Stable Diffusion

I noticed the notification about releasing version 2.1 while writing this essay, and it was intriguing to test it. First, compare version 2 to version 1:

• alternative text encoding. The Contrastive LanguageImage Pre-training (CLIP) deep learning model, which was trained on a significant number of text-image pairs, is used in Stable Diffusion 1. The open-source CLIP implementation used in Stable Diffusion 2 is called OpenCLIP. It is difficult to determine whether there have been any technical advancements or if legal concerns were the main focus. However, because the training datasets for the two text encoders were different, the output results from V1 and V2 will differ for the identical text prompts.

• a new depth model that may be used to the output of image-to-image generation.

• a revolutionary upscaling technique that can quadruple the resolution of an image.

• Generally higher resolution Stable Diffusion 2 has the ability to produce both 512x512 and 768x768 pictures.

The Hugging Face website offers a free online demo of Stable Diffusion 2.1 for code testing. The process is the same as for version 1.4. Download a fresh version and activate the environment:

conda deactivate  
conda env remove -n ldm  # Use this if version 1 was previously installed
git clone https://github.com/Stability-AI/stablediffusion
cd stablediffusion
conda env create -f environment.yaml
conda activate ldm

Hugging Face offers a new weights ckpt file.

The Out of memory error prevented me from running this version on my 8 GB GPU. Version 2.1 fails on CPUs with the slow conv2d cpu not implemented for Half error (according to this GitHub issue, the CPU support for this algorithm and data type will not be added). The model can be modified from half to full precision (float16 instead of float32), however it doesn't make sense since v1 runs up to 10 minutes on the CPU and v2.1 should be much slower. The online demo results are visible. The same hamster painting with a brush prompt yielded this result:

It looks different from v1, but it functions and has a higher resolution.

The superresolution.py script can run the 4x Stable Diffusion upscaler locally (the x4-upscaler-ema.ckpt weights file should be in the same folder):

python3 scripts/gradio/superresolution.py configs/stable-diffusion/x4-upscaling.yaml x4-upscaler-ema.ckpt

This code allows the web browser UI to select the image to upscale:

The copy-paste strategy may explain why the upscaler needs a text prompt (and the Hugging Face code snippet does not have any text input as well). I got a GPU out of memory error again, although CUDA can be disabled like v1. However, processing an image for more than two hours is unlikely:

Stable Diffusion Limitations

When we use the model, it's fun to see what it can and can't do. Generative models produce abstract visuals but not photorealistic ones. This fundamentally limits The generative neural network was trained on text and image pairs, but humans have a lot of background knowledge about the world. The neural network model knows nothing. If someone asks me to draw a Chinese text, I can draw something that looks like Chinese but is actually gibberish because I never learnt it. Generative AI does too! Humans can learn new languages, but the Stable Diffusion AI model includes only language and image decoder brain components. For instance, the Stable Diffusion model will pull NO WAR banner-bearers like this:

V1:

V2.1:

The shot shows text, although the model never learned to read or write. The model's string tokenizer automatically converts letters to lowercase before generating the image, so typing NO WAR banner or no war banner is the same.

I can also ask the model to draw a gorgeous woman:

V1:

V2.1:

The first image is gorgeous but physically incorrect. A second one is better, although it has an Uncanny valley feel. BTW, v2 has a lifehack to add a negative prompt and define what we don't want on the image. Readers might try adding horrible anatomy to the gorgeous woman request.

If we ask for a cartoon attractive woman, the results are nice, but accuracy doesn't matter:

V1:

V2.1:

Another example: I ordered a model to sketch a mouse, which looks beautiful but has too many legs, ears, and fingers:

V1:

V2.1: improved but not perfect.

V1 produces a fun cartoon flying mouse if I want something more abstract:

I tried multiple times with V2.1 but only received this:

The image is OK, but the first version is closer to the request.

Stable Diffusion struggles to draw letters, fingers, etc. However, abstract images yield interesting outcomes. A rural landscape with a modern metropolis in the background turned out well:

V1:

V2.1:

Generative models help make paintings too (at least, abstract ones). I searched Google Image Search for modern art painting to see works by real artists, and this was the first image:

I typed "abstract oil painting of people dancing" and got this:

V1:

V2.1:

It's a different style, but I don't think the AI-generated graphics are worse than the human-drawn ones.

The AI model cannot think like humans. It thinks nothing. A stable diffusion model is a billion-parameter matrix trained on millions of text-image pairs. I input "robot is creating a picture with a pen" to create an image for this post. Humans understand requests immediately. I tried Stable Diffusion multiple times and got this:

This great artwork has a pen, robot, and sketch, however it was not asked. Maybe it was because the tokenizer deleted is and a words from a statement, but I tried other requests such robot painting picture with pen without success. It's harder to prompt a model than a person.

I hope Stable Diffusion's general effects are evident. Despite its limitations, it can produce beautiful photographs in some settings. Readers who want to use Stable Diffusion results should be warned. Source code examination demonstrates that Stable Diffusion images feature a concealed watermark (text StableDiffusionV1 and SDV2) encoded using the invisible-watermark Python package. It's not a secret, because the official Stable Diffusion repository's test watermark.py file contains a decoding snippet. The put watermark line in the txt2img.py source code can be removed if desired. I didn't discover this watermark on photographs made by the online Hugging Face demo. Maybe I did something incorrectly (but maybe they are just not using the txt2img script on their backend at all).

Conclusion

The Stable Diffusion model was fascinating. As I mentioned before, trying something yourself is always better than taking someone else's word, so I encourage readers to do the same (including this article as well;).

Is Generative AI a game-changer? My humble experience tells me:

• I think that place has a lot of potential. For designers and artists, generative AI can be a truly useful and innovative tool. Unfortunately, it can also pose a threat to some of them since if users can enter a text field to obtain a picture or a website logo in a matter of clicks, why would they pay more to a different party? Is it possible right now? unquestionably not yet. Images still have a very poor quality and are erroneous in minute details. And after viewing the image of the stunning woman above, models and fashion photographers may also unwind because it is highly unlikely that AI will replace them in the upcoming years.

• Today, generative AI is still in its infancy. Even 768x768 images are considered to be of a high resolution when using neural networks, which are computationally highly expensive. There isn't an AI model that can generate high-resolution photographs natively without upscaling or other methods, at least not as of the time this article was written, but it will happen eventually.

• It is still a challenge to accurately represent knowledge in neural networks (information like how many legs a cat has or the year Napoleon was born). Consequently, AI models struggle to create photorealistic photos, at least where little details are important (on the other side, when I searched Google for modern art paintings, the results are often even worse;).

• When compared to the carefully chosen images from official web pages or YouTube reviews, the average output quality of a Stable Diffusion generation process is actually less attractive because to its high degree of randomness. When using the same technique on their own, consumers will theoretically only view those images as 1% of the results.

Anyway, it's exciting to witness this area's advancement, especially because the project is open source. Google's Imagen and DALL-E 2 can also produce remarkable findings. It will be interesting to see how they progress.

Four times the energy density and a fraction of lithium-cost ion's

As the globe abandons fossil fuels, batteries become more important. EVs, solar, wind, tidal, wave, and even local energy grids will use them. We need a battery revolution since our present batteries are big, expensive, and detrimental to the environment. A recent publication describes a battery that solves these problems. But will it be enough?

Sodium-sulfur molten salt battery. It has existed for a long time and uses molten salt as an electrolyte (read more about molten salt batteries here). These batteries are cheaper, safer, and more environmentally friendly because they use less eco-damaging materials, are non-toxic, and are non-flammable.

Previous molten salt batteries used aluminium-sulphur chemistries, which had a low energy density and required high temperatures to keep the salt liquid. This one uses a revolutionary sodium-sulphur chemistry and a room-temperature-melting salt, making it more useful, affordable, and eco-friendly. To investigate this, researchers constructed a button-cell prototype and tested it.

First, the battery was 1,017 mAh/g. This battery is four times as energy dense as high-density lithium-ion batteries (250 mAh/g).

No one knows how much this battery would cost. A more expensive molten-salt battery costs $15 per kWh. Current lithium-ion batteries cost $132/kWh. If this new molten salt battery costs the same as present cells, it will be 90% cheaper.

This room-temperature molten salt battery could be utilized in an EV. Cold-weather heaters just need a modest backup battery.

The ultimate EV battery? If used in a Tesla Model S, you could install four times the capacity with no weight gain, offering a 1,620-mile range. This huge battery pack would cost less than Tesla's. This battery would nearly perfect EVs.

Or would it?

The battery's capacity declined by 50% after 1,000 charge cycles. This means that our hypothetical Model S would suffer this decline after 1.6 million miles, but for more cheap vehicles that use smaller packs, this would be too short. This test cell wasn't supposed to last long, so this is shocking. Future versions of this cell could be modified to live longer.

This affordable and eco-friendly cell is best employed as a grid-storage battery for renewable energy. Its safety and affordable price outweigh its short lifespan. Because this battery is made of easily accessible materials, it may be utilized to boost grid-storage capacity without causing supply chain concerns or EV battery prices to skyrocket.

Researchers are designing a bigger pouch cell (like those in phones and laptops) for this purpose. The battery revolution we need could be near. Let’s just hope it isn’t too late.

OpenAI's ChatGPT is an amazing AI-powered chatbot. It can write poetry, stories, and marketing campaigns, and it's also adept at coding. ChatGPT's coding is so amazing that it replicated itself. What happened:

Me: Hi

Hello! Can I help? I'll answer any inquiries you have.

Me: Build a python and flask AI chatbot that responds to user messages on the frontend.

CGPT:

from flask import Flask, request, jsonify

import openai
openai.api_key = "YOUR_API_KEY"

@app.route('/chatbot', methods=['POST'])
def chatbot():
    user_message = request.get_json()['message']
    response = chatbot_response(user_message)
    return jsonify({'response': response})


def chatbot_response(user_message):
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=user_message,
        max_tokens=1024,
        n = 1,
        temperature=0.5
    )
    return response['choices'][0]['text']

if __name__ == '__main__':
    app.run()

To integrate a chatbot with a frontend, use Flask to serve an HTML page with a form for user messages and the chatbot's answer. AJAX can submit the form to the /chatbot route, and JavaScript can show the chatbot's response.

I imported code snippets at the top of the file.

Let's add a frontend interface, I said.

CGPT:

<!DOCTYPE html>
<html>
<head>
    <title>AI Chatbot</title>
</head>
<body>
    <h1>AI Chatbot</h1>
    <form id="chatbot-form">
        <label for="message">Message:</label><br>
        <input type="text" id="message" name="message"><br>
        <input type="submit" value="Submit">
    </form> 
    <div id="chatbot-response"></div>

    <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
    <script>
        $(document).ready(function() {
            $("#chatbot-form").submit(function(e) {
                e.preventDefault();
                var userMessage = $("#message").val();
                $.ajax({
                    type: "POST",
                    url: "/chatbot",
                    data: JSON.stringify({message: userMessage}),
                    contentType: "application/json; charset=utf-8",
                    dataType: "json",
                    success: function(response) {
                        $("#chatbot-response").text(response.response);
                    }
                });
            });
        });
    </script>
</body>
</html>

To serve this HTML page using Flask, build a new route that returns the page as a GET response.

So far, so good.

Looked quite basic so I got chatGPT to add some tailwind to the project.

Me: Tailwind the chatbot.html page, please. Give it a futuristic style with purple and neon

After a few more prompts, Talk GPT aligned the form to the center, changed some colors, and added padding.

CGPT:

<!DOCTYPE html>
<html>
<head>
    <title>AI Chatbot</title>
    <link href="https://unpkg.com/tailwindcss@^1.0/dist/tailwind.min.css" rel="stylesheet">
</head>
<body class="bg-black flex flex-col justify-center items-center">
    <h1 class="sm:text-center text-purple-500">AI Chatbot</h1>
    <form id="chatbot-form" class="border-purple-500 bg-purple-800 rounded">
        <label for="message">Message:</label><br>
        <input type="text" id="message" name="message" class="min-w-30 rounded"><br>
        <input type="submit" value="Submit" class="bg-purple-500 border-red-500 transform hover:scale-110 rounded">
    </form> 
    <div class="flex justify-center">
        <div id="chatbot-response" class="text-white rounded"></div>
    </div>

    <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
    <script>
        var colors = ['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'];
        var colorIndex = 0;
        
        $(document).ready(function() {
            setInterval(function() {
                $("#chatbot-form").css('border-color', colors[colorIndex]);
                colorIndex = (colorIndex + 1) % colors.length;
            }, 1000);

            $("#chatbot-form").submit(function(e) {
                e.preventDefault();
                var userMessage = $("#message").val();
                $.ajax({
                    type: "POST",
                    url: "/chatbot",
                    data: JSON.stringify({message: userMessage}),
                    contentType: "application/json; charset=utf-8",
                    dataType: "json",
                    success: function(response) {
                        $("#chatbot-response").text(response.response);
                    }
                });
            });
        });
    </script>
</body>
</html>

Improved:

A few more prompts like “Add more vertical and horizontal padding to the submit button and vertical margin, and vertically align this file's body.”

The result:

Is it effective? Now, I'll chat with ChatGPT's AI Chatbot. I intervened minimally throughout construction. Chat GPT created numerous files, connected and interacted with its own API, and presented the user request response on the front end by itself.

Me to AI Chatbot: Hey, can you give me 6 name suggestions for a black horse?

Me to AI Chatbot: Write a poem in the style of Jim Morrison. Make sure to mention cacti and black holes

ChatGPTs Chatbot:

In the desert night, I am confronted by cacti, 
Their arms reaching out, As if to grab me and take me away. 
The stars in the sky, Beckon me to come, 
To a world of black holes, Where I can be free. 
I am in a trance, My body and mind, 
In a state of limbo, As I wander the night. 
I hear a voice, Calling me to the unknown, 
I cannot resist, The lure of the black hole. 
The cacti watch, As I take my leave, 
To a place of mystery, Where I can find peace.

Of course, the next question I gave it was to build a chatbot!

Me: Build a python and flask AI chatbot that responds to user messages on the frontend.

ChatbotGPTs:

import os from flask 
import Flask, request, jsonify 
from chatterbot 
import ChatBot 
from chatterbot.trainers 
import ListTrainer 

# Create a new chatbot 
bot = ChatBot( 
  "My Bot", 
  storage_adapter="chatterbot.storage.SQLStorageAdapter", 
  logic_adapters=[ 
    "chatterbot.logic.BestMatch", 
    { "import_path": "chatterbot.logic.BestMatch", 
      "statement_comparison_function": "chatterbot.comparisons.levenshtein_distance", 
       "response_selection_method": "chatterbot.response_selection.get_first_response" } 
    ], 
    database_uri="sqlite:///database.sqlite3" ) 

# Train the chatbot with a few sample conversations 
conversation = [ "Hello", "Hi there!", "How are you doing?", "I'm doing great.", "That is good to hear", "Thank you.", "You're welcome." ] 
trainer = ListTrainer(bot) trainer.train(conversation) 

# Create a Flask app 
app = Flask(__name__) 

# Define a route for the default URL 
@app.route("/") def index(): return "<h1>Chatbot</h1>" 

# Define a route for the /get_response URL 
@app.route("/get_response", methods=["POST"]) 

def get_response(): 
# Get the user's message 
user_message = request.form["user_message"] 
# Get the bot's response 
bot_response = bot.get_response(user_message) 
# Return the bot's response 
return str(bot_response) 
# Run the Flask 
app if __name__ == "__main__": app.run()

No matter how many times I tried, the second generation always used chatterbot instead of the ChatGPT API. Even when I told it to use the ChatGPT API, it didn't.

ChatGTP's ability to reproduce or construct other machine learning algorithms is interesting and possibly terrifying. Nothing prevents ChatGPT from replicating itself ad infinitum throughout the Internet other than a lack of desire. This may be the first time a machine repeats itself, so I've preserved the project as a reference. Adding a requirements.txt file and python env for easier deployment is the only change to the code.

I hope you enjoyed this.

or, how I spread monkeypox and got it myself.

This story contains nsfw (not safe for wife) stuff and shouldn't be read if you're under 18 or think I'm a newborn angel. After the opening, it's broken into three sections: a chronological explanation of my disease course, my ideas, and what I plan to do next.

Your journey awaits.

As early as mid-may, I was waltzing around the lab talking about monkeypox, a rare tropical disease with an inaccurate name. Monkeys are not its primary animal reservoir. It caused an outbreak among men who have sex with men across Europe, with unprecedented levels of person-to-person transmission. European health authorities speculated that the virus spread at raves and parties and was easily transferred through intimate, mainly sexual, contact. I had already read the nejm article about the first confirmed monkeypox patient in the u.s. and shared the photos on social media so people knew what to look for. The cdc information page only included 4 photographs of monkeypox lesions that looked like they were captured on a motorola razr.

I warned my ex-boyfriend about monkeypox. Monkeypox? responded.

Mom, I'm afraid about monkeypox. What's monkeypox?

My therapist is scared about monkeypox. What's monkeypox?

Was I alone? A few science gays on Twitter didn't make me feel overreacting.

This information got my gay head turning. The incubation period for the sickness is weeks. Many of my social media contacts are traveling to Europe this summer. What is pride? Travel, parties, and sex. Many people may become infected before attending these activities. Monkeypox will affect the lgbtq+ community.

Being right always stinks. My young scientist brain was right, though. Someone who saw this coming is one of the early victims. I'll talk about my feelings publicly, and trust me, I have many concerning what's occurring.

Part 1 is the specifics.

Wednesday nights are never smart but always entertaining. I didn't wake up until noon on june 23 and saw gay twitter blazing. Without warning, the nyc department of health announced a pop-up monkeypox immunization station in chelsea. Some days would be 11am-7pm. Walk-ins were welcome, however appointments were preferred. I tried to arrange an appointment after rubbing my eyes, but they were all taken. I got out of bed, washed my face, brushed my teeth, and put on short shorts because I wanted to get a walk-in dose and show off my legs. I got a 20-oz. cold brew on the way to the train and texted a chelsea-based acquaintance for help.

Clinic closed at 2pm. No more doses. Hundreds queued up. The government initially gave them only 1,000 dosages. For a city with 500,000 LGBT people, c'mon. What more could I do? I was upset by how things were handled. The evidence speaks for itself.

I decided to seek an appointment when additional doses were available and continued my weekend. I was celebrating nyc pride with pals. Fun! sex! * ‍

On tuesday after that, I felt a little burn. This wasn't surprising because I'd been sexually active throughout the weekend, so I got a sti panel the next day. I expected to get results in a few days, take antibiotics, and move on.

Emerging germs had other intentions. Wednesday night, I felt sore, and thursday morning, I had a blazing temperature and had sweat through my bedding. I had fever, chills, and body-wide aches and pains for three days. I reached 102 degrees. I believed I had covid over pride weekend, but I tested negative for three days straight.

STDs don't induce fevers or other systemic symptoms. If lymphogranuloma venereum advances, it can cause flu-like symptoms and swollen lymph nodes. I was suspicious and desperate for answers, so I researched monkeypox on the cdc website (for healthcare professionals). Much of what I saw on screen about monkeypox prodrome matched my symptoms. Multiple-day fever, headache, muscle aches, chills, tiredness, enlarged lymph nodes. Pox were lacking.

I told my doctor my concerns pre-medically. I'm occasionally annoying.

On saturday night, my fever broke and I felt better. Still burning, I was optimistic till sunday, when I woke up with five red splotches on my arms and fingertips.

As spots formed, burning became pain. I observed as spots developed on my body throughout the day. I had more than a dozen by the end of the day, and the early spots were pustular. I had monkeypox, as feared.

Fourth of July weekend limited my options. I'm well-connected in my school's infectious disease academic community, so I texted a coworker for advice. He agreed it was likely monkeypox and scheduled me for testing on tuesday.

nyc health could only perform 10 monkeypox tests every day. Before doctors could take swabs and send them in, each test had to be approved by the department. Some commercial labs can now perform monkeypox testing, but the backlog is huge. I still don't have a positive orthopoxvirus test five days after my test. *My 12-day-old case may not be included in the official monkeypox tally. This outbreak is far wider than we first thought, therefore I'm attempting to spread the information and help contain it.

*Update, 7/11: I have orthopoxvirus.

I spent all day in the bathtub because of the agony. Warm lavender epsom salts helped me feel better. I can't stand lavender anymore. I brought my laptop into the bathroom and viewed everything everywhere at once (2022). If my ex and I hadn't recently broken up, I wouldn't have monkeypox. All of these things made me cry, and I sat in the bathtub on the 4th of July sobbing. I thought, Is this it? I felt like Bridesmaids' Kristen Wiig (2011). I'm a flop. From here, things can only improve.

Later that night, I wore a mask and went to my roof to see the fireworks. Even though I don't like fireworks, there was something wonderful about them this year: the colors, how they illuminated the black surfaces around me, and their transient beauty. Joyful moments rarely linger long in our life. We must enjoy them now.

Several roofs away, my neighbors gathered. Happy 4th! I heard a woman yell. Why is this godforsaken country so happy? Instead of being rude, I replied. I didn't tell them I had monkeypox. I thought that would kill the mood.

By the time I went to the hospital the next day to get my lesions swabbed, wearing long sleeves, pants, and a mask, they looked like this:

I had 30 lesions on my arms, hands, stomach, back, legs, buttcheeks, face, scalp, and right eyebrow. I had some in my mouth, gums, and throat. Current medical thought is that lesions on mucous membranes cause discomfort in sensitive places. Internal lesions are a new feature of this outbreak of monkeypox. Despite being unattractive, the other sores weren't unpleasant or bothersome.

I had a bacterial sti with the pox. Who knows if that would've created symptoms (often it doesn't), but different infections can happen at once. My care team remembered that having a sti doesn't exclude out monkeypox. doxycycline rocks!

The coworker who introduced me to testing also offered me his home. We share a restroom, and monkeypox can be spread through surfaces. (Being a dna virus gives it environmental hardiness that rna viruses like sars-cov-2 lack.) I disinfected our bathroom after every usage, but I was apprehensive. My friend's place has a guest room and second bathroom, so no cross-contamination. It was the ideal monkeypox isolation environment, so I accepted his offer and am writing this piece there. I don't know what I would have done without his hospitality and attention.

The next day, I started tecovirimat, or tpoxx, for 14 days. Smallpox has been eradicated worldwide since the 1980s but remains a bioterrorism concern. Tecovirimat has a unique, orthopoxvirus-specific method of action, which reduces side effects to headache and nausea. It hasn't been used in many people, therefore the cdc is encouraging patients who take it for monkeypox to track their disease and symptoms.

Tpoxx's oral absorption requires a fatty meal. The hospital ordered me to take the medication after a 600-calorie, 25-gram-fat meal every 12 hours. The coordinator joked, "Don't diet for the next two weeks." I wanted to get peanut butter delivered, but jif is recalling their supply due to salmonella. Please give pathogens a break. I got almond butter.

Tpoxx study enrollment was documented. After signing consent documents, my lesions were photographed and measured during a complete physical exam. I got bloodwork to assess my health. My medication delivery was precise; every step must be accounted for. I got a two-week supply and started taking it that night. I rewarded myself with McDonald's. I'd been hungry for a week. I was also prescribed ketorolac (aka toradol), a stronger ibuprofen, for my discomfort.

I thought tpoxx was a wonder medicine by day two of treatment. Early lesions looked like this.

however, They vanished. The three largest lesions on my back flattened and practically disappeared into my skin. Some pustular lesions were diminishing. Tpoxx+toradol has helped me sleep, focus, and feel human again. I'm down to twice-daily baths and feeling hungrier than ever in this illness. On day five of tpoxx, some of the lesions look like this:

I have a ways to go. We must believe I'll be contagious until the last of my patches scabs over, falls off, and sprouts new skin. There's no way to tell. After a week and a half of tremendous pain and psychological stress, any news is good news. I'm grateful for my slow but steady development.

Part 2 of the rant.

Being close to yet not in the medical world is interesting. It lets me know a lot about it without being persuaded by my involvement. Doctors identify and treat patients using a tool called differential diagnosis.

A doctor interviews a patient to learn about them and their symptoms. More is better. Doctors may ask, "Have you traveled recently?" sex life? Have pets? preferred streaming service? (No, really. (Hbomax is right.) After the inquisition, the doctor will complete a body exam ranging from looking in your eyes, ears, and throat to a thorough physical.

After collecting data, the doctor makes a mental (or physical) inventory of all the conceivable illnesses that could cause or explain the patient's symptoms. Differential diagnosis list. After establishing the differential, the clinician can eliminate options. The doctor will usually conduct nucleic acid tests on swab samples or bloodwork to learn more. This helps eliminate conditions from the differential or boosts a condition's likelihood. In an ideal circumstance, the doctor can eliminate all but one reason of your symptoms, leaving your formal diagnosis. Once diagnosed, treatment can begin. yay! Love medicine.

My symptoms two weeks ago did not suggest monkeypox. Fever, pains, weariness, and swollen lymph nodes are caused by several things. My scandalous symptoms weren't linked to common ones. My instance shows the importance of diversity and representation in healthcare. My doctor isn't gay, but he provides culturally sensitive care. I'd heard about monkeypox as a gay man in New York. I was hyper-aware of it and had heard of friends of friends who had contracted it the week before, even though the official case count in the US was 40. My physicians weren't concerned, but I was. How would it appear on his mental differential if it wasn't on his radar? Mental differential rhymes! I'll trademark it to prevent theft. differential!

I was in a rare position to recognize my condition and advocate for myself. I study infections. I'd spent months researching monkeypox. I work at a university where I rub shoulders with some of the country's greatest doctors. I'm a gay dude who follows nyc queer social networks online. All of these variables positioned me to think, "Maybe this is monkeypox," and to explain why.

This outbreak is another example of privilege at work. The brokenness of our healthcare system is once again exposed by the inequities produced by the vaccination rollout and the existence of people like myself who can pull strings owing to their line of work. I can't cure this situation on my own, but I can be a strong voice demanding the government do a better job addressing the outbreak and giving resources and advice to everyone I can.

lgbtqia+ community members' support has always impressed me in new york. The queer community has watched out for me and supported me in ways I never dreamed were possible.

Queer individuals are there for each other when societal structures fail. People went to the internet on the first day of the vaccine rollout to share appointment information and the vaccine clinic's message. Twitter timelines were more effective than marketing campaigns. Contrary to widespread anti-vaccine sentiment, the LGBT community was eager to protect themselves. Smallpox vaccination? sure. gimme. whether I'm safe. I credit the community's sex positivity. Many people are used to talking about STDs, so there's a reduced barrier to saying, "I think I have something, you should be on the watch too," and taking steps to protect our health.

Once I got monkeypox, I posted on Twitter and Instagram. Besides fueling my main character syndrome, I felt like I wasn't alone. My dc-based friend had monkeypox within hours. He told me about his experience and gave me ideas for managing the discomfort. I can't imagine life without him.

My buddy and colleague organized my medical care and let me remain in his home. His and his husband's friendliness and attention made a world of difference in my recovery. All of my friends and family who helped me, whether by venmo, doordash, or moral support, made me feel cared about. I don't deserve the amazing people in my life.

Finally, I think of everyone who commented on my social media posts regarding my trip. Friends from all sectors of my life and all sexualities have written me well wishes and complimented me for my vulnerability, but I feel the most gravitas from fellow lgbtq+ persons. They're learning to spot. They're learning where to go ill. They're learning self-advocacy. I'm another link in our network of caretaking. I've been cared for, therefore I want to do the same. Community and knowledge are powerful.

You're probably wondering where the diatribe is. You may believe he's gushing about his loved ones, and you'd be right. I say that just because the queer community can take care of itself doesn't mean we should.

Even when caused by the same pathogen, comparing health crises is risky. Aids is unlike covid-19 or monkeypox, yet all were caused by poorly understood viruses. The lgbtq+ community has a history of self-medicating. Queer people (and their supporters) have led the charge to protect themselves throughout history when the government refused. Surreal to experience this in real time.

First, vaccination access is a government failure. The strategic national stockpile contains tens of thousands of doses of jynneos, the newest fda-approved smallpox vaccine, and millions of doses of acam2000, an older vaccine for immunocompetent populations. Despite being a monkeypox hotspot and international crossroads, new york has only received 7,000 doses of the jynneos vaccine. Vaccine appointments are booked within minutes. It's showing Hunger Games, which bothers me.

Second, I think the government failed to recognize the severity of the european monkeypox outbreak. We saw abroad reports in may, but the first vaccines weren't available until june. Why was I a 26-year-old pharmacology grad student, able to see a monkeypox problem in europe but not the u.s. public health agency? Or was there too much bureaucracy and politicking, delaying action?

Lack of testing infrastructure for a known virus with vaccinations and therapies is appalling. More testing would have helped understand the problem's breadth. Many homosexual guys, including myself, didn't behave like monkeypox was a significant threat because there were only a dozen instances across the country. Our underestimating of the issue, spurred by a story of few infections, was huge.

Public health officials' response to infectious diseases frustrates me. A wait-and-see approach to infectious diseases is unsatisfactory. Before a sick person is recognized, they've exposed and maybe contaminated numerous others. Vaccinating susceptible populations before a disease becomes entrenched prevents disease. CDC might operate this way. When it was easier, they didn't control or prevent monkeypox. We'll learn when. Sometimes I fear never. Emerging viral infections are a menace in the era of climate change and globalization, and I fear our government will repeat the same mistakes. I don't work at the cdc, thus I have no idea what they do. As a scientist, a homosexual guy, and a citizen of this country, I feel confident declaring that the cdc has not done enough about monkeypox. Will they do enough about monkeypox? The strategic national stockpile can respond to a bioterrorism disaster in 12 hours. I'm skeptical following this outbreak.

It's simple to criticize the cdc, but they're not to blame. Underfunding public health services, especially the cdc, is another way our government fails to safeguard its citizens. I may gripe about the vaccination rollout all I want, but local health departments are doing their best with limited resources. They may not have enough workers to keep up with demand and run a contact-tracing program. Since my orthopoxvirus test is still negative, the doh hasn't asked about my close contacts. By then, my illness will be two weeks old, too long to do anything productive. Not their fault. They're functioning in a broken system that's underfunded for the work it does.

*Update, 7/11: I have orthopoxvirus.

Monkeypox is slow, so i've had time to contemplate. Now that I'm better, I'm angry. furious and sad I want to help. I wish to spare others my pain. This was preventable and solvable, I hope. HOW?

Third, the duty.

Family, especially selected family, helps each other. So many people have helped me throughout this difficult time. How can I give back? I have ideas.

1. Education. I've already started doing this by writing incredibly detailed posts on Instagram about my physical sickness and my thoughts on the entire scandal. via tweets. by producing this essay. I'll keep doing it even if people start to resent me! It's crucial! On my Instagram profile (@kyleplanckton), you may discover a story highlight with links to all of my bizarre yet educational posts.

2. Resources. I've forwarded the contact information for my institution's infectious diseases clinic to several folks who will hopefully be able to get tpoxx under the expanded use policy. Through my social networks, I've learned of similar institutions. I've also shared crowdsourced resources about symptom relief and vaccine appointment availability on social media. DM me or see my Instagram highlight for more.

3. Community action. During my illness, my friends' willingness to aid me has meant the most. It was nice to know I had folks on my side. One of my pals (thanks, kenny) snagged me a mcgriddle this morning when seamless canceled my order. This scenario has me thinking about methods to help people with monkeypox isolation. A two-week isolation period is financially damaging for many hourly workers. Certain governments required paid sick leave for covid-19 to allow employees to recover and prevent spread. No comparable program exists for monkeypox, and none seems to be planned shortly.

I want to aid monkeypox patients in severe financial conditions. I'm willing to pick up and bring groceries or fund meals/expenses for sick neighbors. I've seen several GoFundMe accounts, but I wish there was a centralized mechanism to link those in need with those who can help. Please contact me if you have expertise with mutual aid organizations. I hope we can start this shortly.

4. lobbying. Personal narratives are powerful. My narrative is only one, but I think it's compelling. Over the next day or so, i'll write to local, state, and federal officials about monkeypox. I wanted a vaccine but couldn't acquire one, and I feel tpoxx helped my disease. As a pharmacologist-in-training, I believe collecting data on a novel medicine is important, and there are ethical problems when making a drug with limited patient data broadly available. Many folks I know can't receive tpoxx due of red tape and a lack of contacts. People shouldn't have to go to an ivy league hospital to obtain the greatest care. Based on my experience and other people's tales, I believe tpoxx can drastically lessen monkeypox patients' pain and potentially curb transmission chains if administered early enough. This outbreak is manageable. It's not too late if we use all the instruments we have (diagnostic, vaccine, treatment).

*UPDATE 7/15: I submitted the following letter to Chuck Schumer and Kirsten Gillibrand. I've addressed identical letters to local, state, and federal officials, including the CDC and HHS.

I hope to join RESPND-MI, an LGBTQ+ community-led assessment of monkeypox symptoms and networks in NYC. Visit their website to learn more and give to this community-based charity.

How I got monkeypox is a mystery. I received it through a pride physical interaction, but i'm not sure which one. This outbreak will expand unless leaders act quickly. Until then, I'll keep educating and connecting people to care in my neighborhood.

Despite my misgivings, I see some optimism. Health department social media efforts are underway. During the outbreak, the CDC provided nonjudgmental suggestions for safer social and sexual activity. There's additional information regarding the disease course online, including how to request tpoxx for sufferers. These materials can help people advocate for themselves if they're sick. Importantly, homosexual guys are listening when they discuss about monkeypox online and irl. Learners They're serious.

The government has a terrible track record with lgtbq+ health issues, and they're not off to a good start this time. I hope this time will be better. If I can aid even one individual, I'll do so.

Thanks for reading, supporting me, and spreading awareness about the 2022 monkeypox outbreak. My dms are accessible if you want info, resources, queries, or to chat.

y'all well

kyle

Trigger warning — Andrew Tate is running a genius marketing campaign

Andrew Tate is a 2022 internet celebrity.

Kickboxing world champion became rich playboy with controversial views on gender roles.

Andrew's get-rich-quick scheme isn't new. His social media popularity is impressive.

He’s currently running one of the most genius marketing campaigns in history.

He pulls society's pendulum away from diversity and inclusion and toward diversion and exclusion. He's unstoppable.

Here’s everything you need to know about Andrew Tate. And how he’s playing chess while the world plays checkers.

Cobra Tate is the name he goes by.

American-born, English-raised entrepreneur Andrew Tate lives in Romania.

Romania? Says Andrew,

“I prefer a country in which corruption is available to everyone.”

Andrew was a professional kickboxer with the ring moniker Cobra before starting Hustlers University.

Before that, he liked chess and worshipped his father.

Emory Andrew Tate III is named after his grandmaster chess player father.

Emory was the first black-American chess champion. He was military, martial arts-trained, and multilingual. A superhuman.

He lived in his car to make ends meet.

Andrew and Tristan relocated to England with their mother when their parents split.

It was there that Andrew began his climb toward becoming one of the internet’s greatest villains.

Andrew fell in love with kickboxing.

Andrew spent his 20s as a professional kickboxer and reality TV star, featuring on Big Brother UK and The Ultimate Traveller.

These 3 incidents, along with a chip on his shoulder, foreshadowed Andrews' social media breakthrough.

• Chess

• Combat sports

• Reality television

A dangerous trio.

Andrew started making money online after quitting kickboxing in 2017 due to an eye issue.

Andrew didn't suddenly become popular.

Andrew's web work started going viral in 2022.

Due to his contentious views on patriarchy and gender norms, he's labeled the King of Toxic Masculinity. His most contentious views (trigger warning):

• “Women are intrinsically lazy.”

• “Female promiscuity is disgusting.”

• “Women shouldn’t drive cars or fly planes.”

• “A lot of the world’s problems would be solved if women had their body count tattooed on their foreheads.”

Andrew's two main beliefs are:

1. “These are my personal opinions based on my experiences.”

2. “I believe men are better at some things and women are better at some things. We are not equal.”

Andrew intentionally offends.

Andrew's thoughts began circulating online in 2022.

In July 2022, he was one of the most Googled humans, surpassing:

• Joe Biden

• Donald Trump

• Kim Kardashian

Andrews' rise is a mystery since no one can censure or suppress him. This is largely because Andrew nor his team post his clips.

But more on that later.

Andrew's path to wealth.

Andrew Tate is a self-made millionaire. His morality is uncertain.

Andrew and Tristan needed money soon after retiring from kickboxing.

“I owed some money to some dangerous people. I had $70K and needed $100K to stay alive.”

Andrews lost $20K on roulette at a local casino.

Andrew had one week to make $50,000, so he started planning. Andrew locked himself in a chamber like Thomas Edison to solve an energy dilemma.

He listed his assets.

• Physical strength (but couldn’t fight)

• a BMW (worth around $20K)

• Intelligence (but no outlet)

A lightbulb.

He had an epiphany after viewing a webcam ad. He sought aid from women, ironically. His 5 international girlfriends are assets.

Then, a lightbulb.

Andrew and Tristan messaged and flew 7 women to a posh restaurant. Selling desperation masked as opportunity, Andrew pitched his master plan:

A webcam business — with a 50/50 revenue split.

5 women left.

2 stayed.

Andrew Tate, a broke kickboxer, became Top G, Cobra Tate.

The business model was simple — yet sad.

Andrew's girlfriends moved in with him and spoke online for 15+ hours a day. Andrew handled ads and equipment as the women posed.

Andrew eventually took over their keyboards, believing he knew what men wanted more than women.

Andrew detailed on the Full Send Podcast how he emotionally manipulated men for millions. They sold houses, automobiles, and life savings to fuel their companionship addiction.

When asked if he felt bad, Andrew said,

“F*ck no.“

Andrew and Tristan wiped off debts, hired workers, and diversified.

Tristan supervised OnlyFans models.

Andrew bought Romanian casinos and MMA league RXF (Real Xtreme Fighting).

Pandemic struck suddenly.

Andrew couldn't run his 2 businesses without a plan. Another easy moneymaker.

He banked on Hustlers University.

The actual cause of Andrew's ubiquity.

On a Your Mom’s House episode Andrew's 4 main revenue sources:

1. Hustler’s University

2. Owning casinos in Romania

3. Owning 10% of the Romanian MMA league “RXF”

4. “The War Room” — a society of rich and powerful men

When the pandemic hit, 3/4 became inoperable.

So he expanded Hustlers University.

But what is Hustler’s University?

Andrew says Hustlers University teaches 18 wealth-building tactics online. Examples:

• Real estate

• Copywriting

• Amazon FBA

• Dropshipping

• Flipping Cryptos

How to swiftly become wealthy.

Lessons are imprecise, rudimentary, and macro-focused, say reviews. Invest wisely, etc. Everything is free online.

You pay for community. One unique income stream.

The only money-making mechanism that keeps the course from being a scam.

The truth is, many of Andrew’s students are actually making money. Maybe not from the free YouTube knowledge Andrew and his professors teach in the course, but through Hustler’s University’s affiliate program.

Affiliates earn 10% commission for each new student = $5.

Students can earn $10 for each new referral in the first two months.

Andrew earns $50 per membership per month.

This affiliate program isn’t anything special — in fact, it’s on the lower end of affiliate payouts. Normally, it wouldn’t be very lucrative.

But it has one secret weapon— Andrew and his viral opinions.

Andrew is viral. Andrew went on a media tour in January 2022 after appearing on Your Mom's House.

• The Full Send Podcast

• The Fresh & Fit Podcast

• “BFFs” by Barstool Sports

And many, many more…

He chatted with Twitch streamers. Hustlers University wanted more controversy (and clips).

Here’s the strategy behind Hustler’s University that has (allegedly) earned students upwards of $10K per month:

1. Make a social media profile with Andrew Tates' name and photo.

2. Post any of the online videos of Andrews that have gone viral.

3. Include a referral link in your bio.

Effectively simple.

Andrew's controversy attracts additional students. More student clips circulate as more join. Andrew's students earn more and promote the product as he goes viral.

A brilliant plan that's functioning.

At the beginning of his media tour, Hustler’s University had 5,000 students. 6 months in, and he now has over 100,000.

One income stream generates $5 million every month.

Andrew's approach is not new.

But it is different.

In the early 2010s, Tai Lopez dominated the internet.

His viral video showed his house.

“Here in my garage. Just bought this new Lamborghini.”

Tais' marketing focused on intellect, not strength, power, and wealth to attract women.

How reading quicker leads to financial freedom in 67 steps.

Years later, it was revealed that Tai Lopez rented the mansion and Lamborghini as a marketing ploy to build social proof. Meanwhile, he was living in his friend’s trailer.

Faked success is an old tactic.

Andrew is doing something similar. But with one major distinction.

Andrew outsources his virality — making him nearly impossible to cancel.

In 2022, authorities searched Andrews' estate over human trafficking suspicions. Investigation continues despite withdrawn charges.

Andrew's divisive nature would normally get him fired. Andrew's enterprises and celebrity don't rely on social media.

He doesn't promote or pay for ads. Instead, he encourages his students and anyone wishing to get rich quick to advertise his work.

Because everything goes through his affiliate program. Old saying:

“All publicity is good publicity.”

Final thoughts: it’s ok to feel triggered.

Tate is divisive.

His emotionally charged words are human nature. Andrews created the controversy.

It's non-personal.

His opinions are those of one person. Not world nor generational opinion.

Briefly:

• It's easy to understand why Andrews' face is ubiquitous. Money.

• The world wide web is a chessboard. Misdirection is part of it.

• It’s not personal, it’s business.

• Controversy sells

Sometimes understanding the ‘why’, can help you deal with the ‘what.’