More on Technology
Enrique Dans
3 years ago
You may not know about The Merge, yet it could change society
Ethereum is the second-largest cryptocurrency. The Merge, a mid-September event that will convert Ethereum's consensus process from proof-of-work to proof-of-stake if all goes according to plan, will be a game changer.
Why is Ethereum ditching proof-of-work? Because it can. We're talking about a fully functioning, open-source ecosystem with a capacity for evolution that other cryptocurrencies lack, a change that would allow it to scale up its performance from 15 transactions per second to 100,000 as its blockchain is used for more and more things. It would reduce its energy consumption by 99.95%. Vitalik Buterin, the system's founder, would play a less active role due to decentralization, and miners, who validated transactions through proof of work, would be far less important.
Why has this conversion taken so long and been so cautious? Because it involves modifying a core process while it's running to boost its performance. It requires running the new mechanism in test chains on an ever-increasing scale, assessing participant reactions, and checking for issues or restrictions. The last big test was in early June and was successful. All that's left is to converge the mechanism with the Ethereum blockchain to conclude the switch.
What's stopping Bitcoin, the leader in market capitalization and the cryptocurrency that began blockchain's appeal, from doing the same? Satoshi Nakamoto, whoever he or she is, departed from public life long ago, therefore there's no community leadership. Changing it takes a level of consensus that is impossible to achieve without strong leadership, which is why Bitcoin's evolution has been sluggish and conservative, with few modifications.
Secondly, The Merge will balance the consensus mechanism (proof-of-work or proof-of-stake) and the system decentralization or centralization. Proof-of-work prevents double-spending, thus validators must buy hardware. The system works, but it requires a lot of electricity and, as it scales up, tends to re-centralize as validators acquire more hardware and the entire network activity gets focused in a few nodes. Larger operations save more money, which increases profitability and market share. This evolution runs opposed to the concept of decentralization, and some anticipate that any system that uses proof of work as a consensus mechanism will evolve towards centralization, with fewer large firms able to invest in efficient network nodes.
Yet radical bitcoin enthusiasts share an opposite argument. In proof-of-stake, transaction validators put their funds at stake to attest that transactions are valid. The algorithm chooses who validates each transaction, giving more possibilities to nodes that put more coins at stake, which could open the door to centralization and government control.
In both cases, we're talking about long-term changes, but Bitcoin's proof-of-work has been evolving longer and seems to confirm those fears, while proof-of-stake is only employed in coins with a minuscule volume compared to Ethereum and has no predictive value.
As of mid-September, we will have two significant cryptocurrencies, each with a different consensus mechanisms and equally different characteristics: one is intrinsically conservative and used only for economic transactions, while the other has been evolving in open source mode, and can be used for other types of assets, smart contracts, or decentralized finance systems. Some even see it as the foundation of Web3.
Many things could change before September 15, but The Merge is likely to be a turning point. We'll have to follow this closely.
James Brockbank
3 years ago
Canonical URLs for Beginners
Canonicalization and canonical URLs are essential for SEO, and improper implementation can negatively impact your site's performance.
Canonical tags were introduced in 2009 to help webmasters with duplicate or similar content on multiple URLs.
To use canonical tags properly, you must understand their purpose, operation, and implementation.
Canonical URLs and Tags
Canonical tags tell search engines that a certain URL is a page's master copy. They specify a page's canonical URL. Webmasters can avoid duplicate content by linking to the "canonical" or "preferred" version of a page.
How are canonical tags and URLs different? Can these be specified differently?
Tags
Canonical tags are found in an HTML page's head></head> section.
<link rel="canonical" href="https://www.website.com/page/" />These can be self-referencing or reference another page's URL to consolidate signals.
Canonical tags and URLs are often used interchangeably, which is incorrect.
The rel="canonical" tag is the most common way to set canonical URLs, but it's not the only way.
Canonical URLs
What's a canonical link? Canonical link is the'master' URL for duplicate pages.
In Google's own words:
A canonical URL is the page Google thinks is most representative of duplicate pages on your site.
— Google Search Console Help
You can indicate your preferred canonical URL. For various reasons, Google may choose a different page than you.
When set correctly, the canonical URL is usually your specified URL.
Canonical URLs determine which page will be shown in search results (unless a duplicate is explicitly better for a user, like a mobile version).
Canonical URLs can be on different domains.
Other ways to specify canonical URLs
Canonical tags are the most common way to specify a canonical URL.
You can also set canonicals by:
Setting the HTTP header rel=canonical.
All pages listed in a sitemap are suggested as canonicals, but Google decides which pages are duplicates.
Redirects 301.
Google recommends these methods, but they aren't all appropriate for every situation, as we'll see below. Each has its own recommended uses.
Setting canonical URLs isn't required; if you don't, Google will use other signals to determine the best page version.
To control how your site appears in search engines and to avoid duplicate content issues, you should use canonicalization effectively.
Why Duplicate Content Exists
Before we discuss why you should use canonical URLs and how to specify them in popular CMSs, we must first explain why duplicate content exists. Nobody intentionally duplicates website content.
Content management systems create multiple URLs when you launch a page, have indexable versions of your site, or use dynamic URLs.
Assume the following URLs display the same content to a user:
A search engine sees eight duplicate pages, not one.
URLs #1 and #2: the CMS saves product URLs with and without the category name.
#3, #4, and #5 result from the site being accessible via HTTP, HTTPS, www, and non-www.
#6 is a subdomain mobile-friendly URL.
URL #7 lacks URL #2's trailing slash.
URL #8 uses a capital "A" instead of a lowercase one.
Duplicate content may also exist in URLs like:
https://www.website.com
https://www.website.com/index.php
Duplicate content is easy to create.
Canonical URLs help search engines identify different page variations as a single URL on many sites.
SEO Canonical URLs
Canonical URLs help you manage duplicate content that could affect site performance.
Canonical URLs are a technical SEO focus area for many reasons.
Specify URL for search results
When you set a canonical URL, you tell Google which page version to display.
Which would you click?
https://www.domain.com/page-1/
https://www.domain.com/index.php?id=2
First, probably.
Canonicals tell search engines which URL to rank.
Consolidate link signals on similar pages
When you have duplicate or nearly identical pages on your site, the URLs may get external links.
Canonical URLs consolidate multiple pages' link signals into a single URL.
This helps your site rank because signals from multiple URLs are consolidated into one.
Syndication management
Content is often syndicated to reach new audiences.
Canonical URLs consolidate ranking signals to prevent duplicate pages from ranking and ensure the original content ranks.
Avoid Googlebot duplicate page crawling
Canonical URLs ensure that Googlebot crawls your new pages rather than duplicated versions of the same one across mobile and desktop versions, for example.
Crawl budgets aren't an issue for most sites unless they have 100,000+ pages.
How to Correctly Implement the rel=canonical Tag
Using the header tag rel="canonical" is the most common way to specify canonical URLs.
Adding tags and HTML code may seem daunting if you're not a developer, but most CMS platforms allow canonicals out-of-the-box.
These URLs each have one product.
How to Correctly Implement a rel="canonical" HTTP Header
A rel="canonical" HTTP header can replace canonical tags.
This is how to implement a canonical URL for PDFs or non-HTML documents.
You can specify a canonical URL in your site's.htaccess file using the code below.
<Files "file-to-canonicalize.pdf"> Header add Link "< http://www.website.com/canonical-page/>; rel=\"canonical\"" </Files>301 redirects for canonical URLs
Google says 301 redirects can specify canonical URLs.
Only the canonical URL will exist if you use 301 redirects. This will redirect duplicates.
This is the best way to fix duplicate content across:
HTTPS and HTTP
Non-WWW and WWW
Trailing-Slash and Non-Trailing Slash URLs
On a single page, you should use canonical tags unless you can confidently delete and redirect the page.
Sitemaps' canonical URLs
Google assumes sitemap URLs are canonical, so don't include non-canonical URLs.
This does not guarantee canonical URLs, but is a best practice for sitemaps.
Best-practice Canonical Tag
Once you understand a few simple best practices for canonical tags, spotting and cleaning up duplicate content becomes much easier.
Always include:
One canonical URL per page
If you specify multiple canonical URLs per page, they will likely be ignored.
Correct Domain Protocol
If your site uses HTTPS, use this as the canonical URL. It's easy to reference the wrong protocol, so check for it to catch it early.
Trailing slash or non-trailing slash URLs
Be sure to include trailing slashes in your canonical URL if your site uses them.
Specify URLs other than WWW
Search engines see non-WWW and WWW URLs as duplicate pages, so use the correct one.
Absolute URLs
To ensure proper interpretation, canonical tags should use absolute URLs.
So use:
<link rel="canonical" href="https://www.website.com/page-a/" />And not:
<link rel="canonical" href="/page-a/" />If not canonicalizing, use self-referential canonical URLs.
When a page isn't canonicalizing to another URL, use self-referencing canonical URLs.
Canonical tags refer to themselves here.
Common Canonical Tags Mistakes
Here are some common canonical tag mistakes.
301 Canonicalization
Set the canonical URL as the redirect target, not a redirected URL.
Incorrect Domain Canonicalization
If your site uses HTTPS, don't set canonical URLs to HTTP.
Irrelevant Canonicalization
Canonicalize URLs to duplicate or near-identical content only.
SEOs sometimes try to pass link signals via canonical tags from unrelated content to increase rank. This isn't how canonicalization should be used and should be avoided.
Multiple Canonical URLs
Only use one canonical tag or URL per page; otherwise, they may all be ignored.
When overriding defaults in some CMSs, you may accidentally include two canonical tags in your page's <head>.
Pagination vs. Canonicalization
Incorrect pagination can cause duplicate content. Canonicalizing URLs to the first page isn't always the best solution.
Canonicalize to a 'view all' page.
How to Audit Canonical Tags (and Fix Issues)
Audit your site's canonical tags to find canonicalization issues.
SEMrush Site Audit can help. You'll find canonical tag checks in your website's site audit report.
Let's examine these issues and their solutions.
No Canonical Tag on AMP
Site Audit will flag AMP pages without canonical tags.
Canonicalization between AMP and non-AMP pages is important.
Add a rel="canonical" tag to each AMP page's head>.
No HTTPS redirect or canonical from HTTP homepage
Duplicate content issues will be flagged in the Site Audit if your site is accessible via HTTPS and HTTP.
You can fix this by 301 redirecting or adding a canonical tag to HTTP pages that references HTTPS.
Broken canonical links
Broken canonical links won't be considered canonical URLs.
This error could mean your canonical links point to non-existent pages, complicating crawling and indexing.
Update broken canonical links to the correct URLs.
Multiple canonical URLs
This error occurs when a page has multiple canonical URLs.
Remove duplicate tags and leave one.
Canonicalization is a key SEO concept, and using it incorrectly can hurt your site's performance.
Once you understand how it works, what it does, and how to find and fix issues, you can use it effectively to remove duplicate content from your site.
Canonicalization SEO Myths
Dmitrii Eliuseev
2 years ago
Creating Images on Your Local PC Using Stable Diffusion AI
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 condaInstall 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 --upgradeDownload 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 1Almost. 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 1Stable 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 1The 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 0.8It 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 ldmHugging 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.ckptThis 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.
You might also like
Ray Dalio
3 years ago
The latest “bubble indicator” readings.
As you know, I like to turn my intuition into decision rules (principles) that can be back-tested and automated to create a portfolio of alpha bets. I use one for bubbles. Having seen many bubbles in my 50+ years of investing, I described what makes a bubble and how to identify them in markets—not just stocks.
A bubble market has a high degree of the following:
- High prices compared to traditional values (e.g., by taking the present value of their cash flows for the duration of the asset and comparing it with their interest rates).
- Conditons incompatible with long-term growth (e.g., extrapolating past revenue and earnings growth rates late in the cycle).
- Many new and inexperienced buyers were drawn in by the perceived hot market.
- Broad bullish sentiment.
- Debt financing a large portion of purchases.
- Lots of forward and speculative purchases to profit from price rises (e.g., inventories that are more than needed, contracted forward purchases, etc.).
I use these criteria to assess all markets for bubbles. I have periodically shown you these for stocks and the stock market.
What Was Shown in January Versus Now
I will first describe the picture in words, then show it in charts, and compare it to the last update in January.
As of January, the bubble indicator showed that a) the US equity market was in a moderate bubble, but not an extreme one (ie., 70 percent of way toward the highest bubble, which occurred in the late 1990s and late 1920s), and b) the emerging tech companies (ie. As well, the unprecedented flood of liquidity post-COVID financed other bubbly behavior (e.g. SPACs, IPO boom, big pickup in options activity), making things bubbly. I showed which stocks were in bubbles and created an index of those stocks, which I call “bubble stocks.”
Those bubble stocks have popped. They fell by a third last year, while the S&P 500 remained flat. In light of these and other market developments, it is not necessarily true that now is a good time to buy emerging tech stocks.
The fact that they aren't at a bubble extreme doesn't mean they are safe or that it's a good time to get long. Our metrics still show that US stocks are overvalued. Once popped, bubbles tend to overcorrect to the downside rather than settle at “normal” prices.
The following charts paint the picture. The first shows the US equity market bubble gauge/indicator going back to 1900, currently at the 40% percentile. The charts also zoom in on the gauge in recent years, as well as the late 1920s and late 1990s bubbles (during both of these cases the gauge reached 100 percent ).
The chart below depicts the average bubble gauge for the most bubbly companies in 2020. Those readings are down significantly.
The charts below compare the performance of a basket of emerging tech bubble stocks to the S&P 500. Prices have fallen noticeably, giving up most of their post-COVID gains.
The following charts show the price action of the bubble slice today and in the 1920s and 1990s. These charts show the same market dynamics and two key indicators. These are just two examples of how a lot of debt financing stock ownership coupled with a tightening typically leads to a bubble popping.
Everything driving the bubbles in this market segment is classic—the same drivers that drove the 1920s bubble and the 1990s bubble. For instance, in the last couple months, it was how tightening can act to prick the bubble. Review this case study of the 1920s stock bubble (starting on page 49) from my book Principles for Navigating Big Debt Crises to grasp these dynamics.
The following charts show the components of the US stock market bubble gauge. Since this is a proprietary indicator, I will only show you some of the sub-aggregate readings and some indicators.
Each of these six influences is measured using a number of stats. This is how I approach the stock market. These gauges are combined into aggregate indices by security and then for the market as a whole. The table below shows the current readings of these US equity market indicators. It compares current conditions for US equities to historical conditions. These readings suggest that we’re out of a bubble.
1. How High Are Prices Relatively?
This price gauge for US equities is currently around the 50th percentile.
2. Is price reduction unsustainable?
This measure calculates the earnings growth rate required to outperform bonds. This is calculated by adding up the readings of individual securities. This indicator is currently near the 60th percentile for the overall market, higher than some of our other readings. Profit growth discounted in stocks remains high.
Even more so in the US software sector. Analysts' earnings growth expectations for this sector have slowed, but remain high historically. P/Es have reversed COVID gains but remain high historical.
3. How many new buyers (i.e., non-existing buyers) entered the market?
Expansion of new entrants is often indicative of a bubble. According to historical accounts, this was true in the 1990s equity bubble and the 1929 bubble (though our data for this and other gauges doesn't go back that far). A flood of new retail investors into popular stocks, which by other measures appeared to be in a bubble, pushed this gauge above the 90% mark in 2020. The pace of retail activity in the markets has recently slowed to pre-COVID levels.
4. How Broadly Bullish Is Sentiment?
The more people who have invested, the less resources they have to keep investing, and the more likely they are to sell. Market sentiment is now significantly negative.
5. Are Purchases Being Financed by High Leverage?
Leveraged purchases weaken the buying foundation and expose it to forced selling in a downturn. The leverage gauge, which considers option positions as a form of leverage, is now around the 50% mark.
6. To What Extent Have Buyers Made Exceptionally Extended Forward Purchases?
Looking at future purchases can help assess whether expectations have become overly optimistic. This indicator is particularly useful in commodity and real estate markets, where forward purchases are most obvious. In the equity markets, I look at indicators like capital expenditure, or how much businesses (and governments) invest in infrastructure, factories, etc. It reflects whether businesses are projecting future demand growth. Like other gauges, this one is at the 40th percentile.
What one does with it is a tactical choice. While the reversal has been significant, future earnings discounting remains high historically. In either case, bubbles tend to overcorrect (sell off more than the fundamentals suggest) rather than simply deflate. But I wanted to share these updated readings with you in light of recent market activity.
Grace Huang
3 years ago
I sold 100 copies of my book when I had anticipated selling none.
After a decade in large tech, I know how software engineers were interviewed. I've seen outstanding engineers fail interviews because their responses were too vague.
So I wrote Nail A Coding Interview: Six-Step Mental Framework. Give candidates a mental framework for coding questions; help organizations better prepare candidates so they can calibrate traits.
Recently, I sold more than 100 books, something I never expected.
In this essay, I'll describe my publication journey, which included self-doubt and little triumphs. I hope this helps if you want to publish.
It was originally a Medium post.
How did I know to develop a coding interview book? Years ago, I posted on Medium.
Six steps to ace a coding interview Inhale. blog.devgenius.io
This story got a lot of attention and still gets a lot of daily traffic. It indicates this domain's value.
Converted the Medium article into an ebook
The Medium post contains strong bullet points, but it is missing the “flesh”. How to use these strategies in coding interviews, for example. I filled in the blanks and made a book.
I made the book cover for free. It's tidy.
Shared the article with my close friends on my social network WeChat.
I shared the book on Wechat's Friend Circle (朋友圈) after publishing it on Gumroad. Many friends enjoyed my post. It definitely triggered endorphins.
In Friend Circle, I presented a 100% off voucher. No one downloaded the book. Endorphins made my heart sink.
Several days later, my Apple Watch received a Gumroad notification. A friend downloaded it. I majored in finance, he subsequently said. My brother-in-law can get it? He downloaded it to cheer me up.
I liked him, but was disappointed that he didn't read it.
The Tipping Point: Reddit's Free Giving
I trusted the book. It's based on years of interviewing. I felt it might help job-hunting college students. If nobody wants it, it can still have value.
I posted the book's link on /r/leetcode. I told them to DM me for a free promo code.
Momentum shifted everything. Gumroad notifications kept coming when I was out with family. Following orders.
As promised, I sent DMs a promo code. Some consumers ordered without asking for a promo code. Some readers finished the book and posted reviews.
My book was finally on track.
A 5-Star Review, plus More
A reader afterwards DMed me and inquired if I had another book on system design interviewing. I said that was a good idea, but I didn't have one. If you write one, I'll be your first reader.
Later, I asked for a book review. Yes, but how? That's when I learned readers' reviews weren't easy. I built up an email pipeline to solicit customer reviews. Since then, I've gained credibility through ratings.
Learnings
I wouldn't have gotten 100 if I gave up when none of my pals downloaded. Here are some lessons.
Your friends are your allies, but they are not your clients.
Be present where your clients are
Request ratings and testimonials
gain credibility gradually
I did it, so can you. Follow me on Twitter @imgracehuang for my publishing and entrepreneurship adventure.
Sea Launch
3 years ago
📖 Guide to NFT terms: an NFT glossary.
NFT lingo can be overwhelming. As the NFT market matures and expands so does its own jargon, slang, colloquialisms or acronyms.
This ever-growing NFT glossary goal is to unpack key NFT terms to help you better understand the NFT market or at least not feel like a total n00b in a conversation about NFTs on Reddit, Discord or Twitter.
#
1:1 Art
Art where each piece is one of a kind (1 of 1). Unlike 10K projects, PFP or Generative Art collections have a cap of NFTs released that can range from a few hundreds to 10K.
1/1 of X
Contrary to 1:1 Art, 1/1 of X means each NFT is unique, but part of a large and cohesive collection. E.g: Fidenzas by Tyler Hobbs or Crypto Punks (each Punk is 1/1 of 10,000).
10K Project
A type of NFT collection that consists of approximately 10,000 NFTs (but not strictly).
A
AB
ArtBlocks, the most important platform for generative art currently.
AFAIK
As Far As I Know.
Airdrop
Distribution of an NFT token directly into a crypto wallet for free. Can be used as a marketing campaign or as scam by airdropping fake tokens to empty someone’s wallet.
Alpha
The first or very primitive release of a project. Or Investment term to track how a certain investment outdoes the market. E.g: Alpha of 1.0 = 1% improvement or Alpha of 20.0 = 20% improvement.
Altcoin
Any other crypto that is not Bitcoin. Bitcoin Maximalists can also refer to them as shitcoins.
AMA
Ask Me Anything. NFT creators or artists do sessions where anyone can ask questions about the NFT project, team, vision, etc. Usually hosted on Discord, but also on Reddit or even Youtube.
Ape
Someone can be aping, ape in or aped on an NFT meaning someone is taking a large position relative to its own portfolio size. Some argue that when someone apes can mean that they're following the hype, out of FOMO or without due diligence. Not related directly to the Bored Ape Yatch Club.
ATH
All-Time High. When a NFT project or token reaches the highest price to date.
Avatar project
An NFT collection that consists of avatars that people can use as their profile picture (see PFP) in social media to show they are part of an NFT community like Crypto Punks.
Axie Infinity
ETH blockchain-based game where players battle and trade Axies (digital pets). The main ERC-20 tokens used are Axie Infinity Shards (AXS) and Smooth Love Potions (formerly Small Love Potion) (SLP).
Axie Infinity Shards
AXS is an Eth token that powers the Axie Infinity game.
B
Bag Holder
Someone who holds its position in a crypto or keeps an NFT until it's worthless.
BAYC
Bored Ape Yacht Club. A very successful PFP 1/1 of 10,000 individual ape characters collection. People use BAYC as a Twitter profile picture to brag about being part of this NFT community.
Bearish
Borrowed finance slang meaning someone is doubtful about the current market and that it will crash.
Bear Market
When the Crypto or NFT market is going down in value.
Bitcoin (BTC)
First and original cryptocurrency as outlined in a whitepaper by the anonymous creator(s) Satoshi Nakamoto.
Bitcoin Maximalist
Believer that Bitcoin is the only cryptocurrency needed. All other cryptocurrencies are altcoins or shitcoins.
Blockchain
Distributed, decentralized, immutable database that is the basis of trust in Web 3.0 technology.
Bluechip
When an NFT project has a long track record of success and its value is sustained over time, therefore considered a solid investment.
BTD
Buy The Dip. A bear market can be an opportunity for crypto investors to buy a crypto or NFT at a lower price.
Bullish
Borrowed finance slang meaning someone is optimistic that a market will increase in value aka moon.
Bull market
When the Crypto or NFT market is going up and up in value.
Burn
Common crypto strategy to destroy or delete tokens from the circulation supply intentionally and permanently in order to limit supply and increase the value.
Buying on secondary
Whenever you don’t mint an NFT directly from the project, you can always buy it in secondary NFT marketplaces like OpenSea. Most NFT sales are secondary market sales.
C
Cappin or Capping
Slang for lying or faking. Opposed to no cap which means “no lie”.
Coinbase
Nasdaq listed US cryptocurrency exchange. Coinbase Wallet is one of Coinbase’s products where users can use a Chrome extension or app hot wallet to store crypto and NFTs.
Cold wallet
Otherwise called hardware wallet or cold storage. It’s a physical device to store your cryptocurrencies and/or NFTs offline. They are not connected to the Internet so are at less risk of being compromised.
Collection
A set of NFTs under a common theme as part of a NFT drop or an auction sale in marketplaces like OpenSea or Rarible.
Collectible
A collectible is an NFT that is a part of a wider NFT collection, usually part of a 10k project, PFP project or NFT Game.
Collector
Someone who buys NFTs to build an NFT collection, be part of a NFT community or for speculative purposes to make a profit.
Cope
The opposite of FOMO. When someone doesn’t buy an NFT because one is still dealing with a previous mistake of not FOMOing at a fraction of the price. So choosing to stay out.
Consensus mechanism
Method of authenticating and validating a transaction on a blockchain without the need to trust or rely on a central authority. Examples of consensus mechanisms are Proof of Work (PoW) or Proof of Stake (PoS).
Cozomo de’ Medici
Twitter alias used by Snoop Dogg for crypto and NFT chat.
Creator
An NFT creator is a person that creates the asset for the NFT idea, vision and in many cases the art (e.g. a jpeg, audio file, video file).
Crowsale
Where a crowdsale is the sale of a token that will be used in the business, an Initial Coin Offering (ICO) is the sale of a token that’s linked to the value of the business. Buying an ICO token is akin to buying stock in the company because it entitles you a share of the earnings and profits. Also, some tokens give you voting rights similar to holding stock in the business. The US Securities and Exchange Commission recently ruled that ICOs, but not crowdselling, will be treated as the sale of a security. This basically means that all ICOs must be registered like IPOs and offered only to accredited investors. This dramatically increases the costs and limits the pool of potential buyers.
Crypto Bags/Bags
Refers to how much cryptocurrencies someone holds, as in their bag of coins.
Cryptocurrency
The native coin of a blockchain (or protocol coin), secured by cryptography to be exchanged within a Peer 2 Peer economic system. E.g: Bitcoin (BTC) for the Bitcoin blockchain, Ether (ETH) for the Ethereum blockchain, etc.
Crypto community
The community of a specific crypto or NFT project. NFT communities use Twitter and Discord as their primary social media to hang out.
Crypto exchange
Where someone can buy, sell or trade cryptocurrencies and tokens.
Cryptography
The foundation of blockchain technology. The use of mathematical theory and computer science to encrypt or decrypt information.
CryptoKitties
One of the first and most popular NFT based blockchain games. In 2017, the NFT project almost broke the Ethereum blockchain and increased the gas prices dramatically.
CryptoPunk
Currently one of the most valuable blue chip NFT projects. It was created by Larva Labs. Crypto Punk holders flex their NFT as their profile picture on Twitter.
CT
Crypto Twitter, the crypto-community on Twitter.
Cypherpunks
Movement in the 1980s, advocating for the use of strong cryptography and privacy-enhancing technologies as a route to social and political change. The movement contributed and shaped blockchain tech as we know today.
D
DAO
Stands for Decentralized Autonomous Organization. When a NFT project is structured like a DAO, it grants all the NFT holders voting rights, control over future actions and the NFT’s project direction and vision. Many NFT projects are also organized as DAO to be a community-driven project.
Dapp
Mobile or web based decentralized application that interacts on a blockchain via smart contracts. E.g: Dapp is the frontend and the smart contract is the backend.
DCA
Acronym for Dollar Cost Averaging. An investment strategy to reduce the impact of crypto market volatility. E.g: buying into a crypto asset on a regular monthly basis rather than a big one time purchase.
Ded
Abbreviation for dead like "I sold my Punk for 90 ETH. I am ded."
DeFi
Short for Decentralized Finance. Blockchain alternative for traditional finance, where intermediaries like banks or brokerages are replaced by smart contracts to offer financial services like trading, lending, earning interest, insure, etc.
Degen
Short for degenerate, a gambler who buys into unaudited or unknown NFT or DeFi projects, without proper research hoping to chase high profits.
Delist
No longer offer an NFT for sale on a secondary market like Opensea. NFT Marketplaces can delist an NFT that infringes their rules. Or NFT owners can choose to delist their NFTs (has long as they have sufficient funds for the gas fees) due to price surges to avoid their NFT being bought or sold for a higher price.
Derivative
Projects derived from the original project that reinforces the value and importance of the original NFT. E.g: "alternative" punks.
Dev
A skilled professional who can build NFT projects using smart contracts and blockchain technology.
Dex
Decentralised Exchange that allows for peer-to-peer trustless transactions that don’t rely on a centralized authority to take place. E.g: Uniswap, PancakeSwap, dYdX, Curve Finance, SushiSwap, 1inch, etc.
Diamond Hands
Someone who believes and holds a cryptocurrency or NFT regardless of the crypto or NFT market fluctuations.
Discord
Chat app heavily used by crypto and NFT communities for knowledge sharing and shilling.
DLT
Acronym for Distributed Ledger Technology. It’s a protocol that allows the secure functioning of a decentralized database, through cryptography. This technological infrastructure scraps the need for a central authority to keep in check manipulation or exploitation of the network.
Dog coin
It’s a memecoin based on the Japanese dog breed, Shiba Inu, first popularised by Dogecoin. Other notable coins are Shiba Inu or Floki Inu. These dog coins are frequently subjected to pump and dumps and are extremely volatile. The original dog coin DOGE was created as a joke in 2013. Elon Musk is one of Dogecoin's most famous supporters.
Doxxed/Doxed
When the identity of an NFT team member, dev or creator is public, known or verifiable. In the NFT market, when a NFT team is doxed it’s a usually sign of confidence and transparency for NFT collectors to ensure they will not be scammed for an anonymous creator.
Drop
The release of an NFT (single or collection) into the NFT market.
DYOR
Acronym for Do Your Own Research. A common expression used in the crypto or NFT community to disclaim responsibility for the financial/strategy advice someone is providing the community and to avoid being called out by others in theNFT or crypto community.
E
EIP-1559 EIP
Referring to Ethereum Improvement Proposal 1559, commonly known as the London Fork. It’s an upgrade to the Ethereum protocol code to improve the blockchain security and scalability. The major change consists in shifting from a proof-of-work consensus mechanism (PoW) to a low energy and lower gas fees proof-of-stake system (PoS).
ERC-1155
Stands for Ethereum Request for Comment-1155. A multi-token standard that can represent any number of fungible (ERC-20) and non-fungible tokens (ERC-721).
ERC-20
Ethereum Request for Comment-20 is a standard defining a fungible token like a cryptocurrency.
ERC-721
Ethereum Request for Comment-721 is a standard defining a non-fungible token (NFT).
ETH
Aka Ether, the currency symbol for the native cryptocurrency of the Ethereum blockchain.
ETH2.0
Also known as the London Fork or EIP-1559 EIP. It’s an upgrade to the Ethereum network to improve the network’s security and scalability. The most dramatic change is the shift from the proof-of-work consensus mechanism (PoW) to proof-of-stake system (PoS).
Ether
Or ETH, the native cryptocurrency of the Ethereum blockchain.
Ethereum
Network protocol that allows users to create and run smart contracts over a decentralized network.
F
FCFS
Acronym for First Come First Served. Commonly used strategy in a NFT collection drop when the demand surpasses the supply.
Few
Short for "few understand". Similar to the irony behind the "probably nothing" expression. Like X person bought into a popular NFT, because it understands its long term value.
Fiat Currencies or Money
National government-issued currencies like the US Dollar (USD), Euro (EUR) or Great British Pound (GBP) that are not backed by a commodity like silver or gold. FIAT means an authoritative or arbitrary order like a government decree.
Flex
Slang for showing off. In the crypto community, it’s a Lamborghini or a gold Rolex. In the NFT world, it’s a CryptoPunk or BAYC PFP on Twitter.
Flip
Quickly buying and selling crypto or NFTs to make a profit.
Flippening
Colloquial expression coined in 2017 for when Ethereum’s market capitalisation surpasses Bitcoin’s.
Floor Price
It means the lowest asking price for an NFT collection or subset of a collection on a secondary market like OpenSea.
Floor Sweep
Refers when a NFT collector or investor buys all the lowest listed NFTs on a secondary NFT marketplace.
FOMO
Acronym for Fear Of Missing Out. Buying a crypto or NFT out of fear of missing out on the next big thing.
FOMO-in
Buying a crypto or NFT regardless if it's at the top of the market for FOMO.
Fractionalize
Turning one NFT like a Crypto Punk into X number of fractions ERC-20 tokens that prove ownership of that Punk. This allows for i) collective ownership of an NFT, ii) making an expensive NFT affordable for the common NFT collector and iii) adds more liquidity to a very illiquid NFT market.
FR
Abbreviation for For Real?
Fren
Means Friend and what people in the NFT community call each other in an endearing and positive way.
Foundation
An exclusive, by invitation only, NFT marketplace that specializes in NFT art.
Fungible
Means X can be traded for another X and still hold the same value. E.g: My dollars = your dollars. My 1 ether = your 1 ether. My casino chip = your casino chip. On Ethereum, fungible tokens are defined by the ERC-20 standard.
FUD
Acronym for Fear Uncertainty Doubt. It can be a) when someone spreads negative and sometimes false news to discredit a certain crypto or NFT project. Or b) the overall negative feeling regarding the future of the NFT/Crypto project or market, especially when going through a bear market.
Fudder
Someone who has FUD or engages in FUD about a NFT project.
Fudding your own bags
When an NFT collector or crypto investor speaks negatively about an NFT or crypto project he/she has invested in or has a stake in. Usually negative comments about the team or vision.
G
G
Means Gangster. A term of endearment used amongst the NFT Community.
Gas/Gas fees/Gas prices
The fee charged to complete a transaction in a blockchain. These gas prices vary tremendously between the blockchains, the consensus mechanism used to validate transactions or the number of transactions being made at a specific time.
Gas war
When a lot of NFT collectors (or bots) are trying to mint an NFT at once and therefore resulting in gas price surge.
Generative art
Artwork that is algorithmically created by code with unique traits and rarity.
Genesis drop
It refers to the first NFT drop a creator makes on an NFT auction platform.
GG
Interjection for Good Game.
GM
Interjection for Good Morning.
GMI
Acronym for Going to Make It. Opposite of NGMI (NOT Going to Make It).
GOAT
Acronym for Greatest Of All Time.
GTD
Acronym for Going To Dust. When a token or NFT project turns out to be a bad investment.
GTFO
Get The F*ck Out, as in “gtfo with that fud dude” if someone is talking bull.
GWEI
One billionth of an Ether (ETH) also known as a Shannon / Nanoether / Nano — unit of account used to price Ethereum gas transactions.
H
HEN (Hic Et Nunc)
A popular NFT art marketplace for art built on the Tezos blockchain. Big NFT marketplace for inexpensive NFTs but not a very user-friendly UI/website.
HODL
Misspelling of HOLD coined in an old Reddit post. Synonym with “Hold On for Dear Life” meaning hold your coin or NFT until the end, whether that they’ll moon or dust.
Hot wallet
Wallets connected to the Internet, less secure than cold wallet because they’re more susceptible to hacks.
Hype
Term used to show excitement or anticipation about an upcoming crypto project or NFT.
I
ICO
Acronym for Initial Coin Offering. It’s the crypto equivalent to a stocks’ IPO (Initial Public Offering) but with far less scrutiny or regulation (leading to a lot of scams). ICO’s are a popular way for crypto projects to raise funds.
IDO
Acronym for Initial Dex Offering. To put it simply it means to launch NFTs or tokens via a decentralized liquidity exchange. It’s a common fundraising method used by upcoming crypto or NFT projects. Many consider IDOs a far better fundraising alternative to ICOs.
IDK
Acronym for I Don’t Know.
IDEK
Acronym for I Don’t Even Know.
Imma
Short for I’m going to be.
IRL
Acronym for In Real Life. Refers to the physical world outside of the online/virtual world of crypto, NFTs, gaming or social media.
IPFS
Acronym for Interplanetary File System. A peer-to-peer file storage system using hashes to recall and preserve the integrity of the file, commonly used to store NFTs outside of the blockchain.
It’s Money Laundering
Someone can use this expression to suggest that NFT prices aren’t real and that actually people are using NFTs to launder money, without providing much proof or explanation on how it works.
IYKYK
Stands for If You Know, You Know This. Similar to the expression "few", used when someone buys into a popular crypto or NFT project, slightly because of FOMO but also because it believes in its long term value.
J
JPEG/JPG
File format typically used to encode NFT art. Some people also use Jpeg to mock people buying NFTs as in “All that money for a jpeg”.
K
KMS
Short for Kill MySelf.
L
Larva Labs/ LL
NFT Creators behind the popular NFT projects like Cryptopunks,Meebits or Autoglyphs.
Laser eyes
Bitcoin meme signalling support for BTC and/or it will break the $100k per coin valuation.
LFG
Acronym for Let’s F*cking Go! A common rallying call used in the crypto or NFT community to lead people into buying an NFT or a crypto.
Liquidity
Term that means that a token or NFT has a high volume activity in the crypto/NFT market. It’s easily sold and resold. But usually the NFT market it’s illiquid when compared to the general crypto market, due to the non-fungibility nature of an NFT (there are less buyers for every NFTs out there).
LMFAO
Stands for Laughing My F*cking Ass Off.
Looks Rare
Ironic expression commonly used in the NFT Community. Rarity is a driver of an NFT’s value.
London Hard Fork
Known as EIP-1559, was an Ethereum code upgrade proposal designed to improve the blockchain security and scalability. It’s major change is to shift from PoW to PoS consensus mechanism.
Long run
Means someone is committed to the NFT market or an NFT project in the long term.
M
Maximalist
Typically refers to Bitcoin Maximalists. People who only believe that Bitcoin is the most secure and resilient blockchain. For Maximalists, all other cryptocurrencies are shitcoins therefore a waste of time, development and money.
McDonald's
Common and ironic expression amongst the crypto community. It means that Mcdonald’s is always a valid backup plan or career in the case all cryptocurrencies crash and disappear.
Meatspace
Synonymous with IRL - In Real Life.
Memecoin
Cryptocurrency like Dogecoin that is based on an internet joke or meme.
Metamask
Popular crypto hot wallet platform to store crypto and NFTs.
Metaverse
Term was coined by writer Neal Stephenson in the 1992 dystopian novel “Snow Crash”. It’s an immersive and digital place where people interact via their avatars. Big tech players like Meta (formerly known as Facebook) and other independent players have been designing their own version of a metaverse. NFTs can have utility for users like buying, trading, winning, accessing, experiencing or interacting with things inside a metaverse.
Mfer
Short for “mother fker”.
Miners
Single person or company that mines one or more cryptocurrencies like Bitcoin or Ethereum. Both blockchains need computing power for their Proof of Work consensus mechanism. Miners provide the computing power and receive coins/tokens in return as payment.
Mining
Mining is the process by which new tokens enter in circulation as for example in the Bitcoin blockchain. Also, mining ensures the validity of new transactions happening in a given blockchain that uses the PoW consensus mechanism. Therefore, the ones who mine are rewarded by ensuring the validity of a blockchain.
Mint/Minting
Mint an NFT is the act of publishing your unique instance to a specific blockchain like Ethereum or Tezos blockchain. In simpler terms, a creator is adding a one-of-kind token (NFT) into circulation in a specific blockchain.
Once the NFT is minted - aka created - NFT collectors can i) direct mint, therefore purchase the NFT by paying the specified amount directly into the project’s wallet. Or ii) buy it via an intermediary like an NFT marketplace (e.g: OpenSea, Foundation, Rarible, etc.). Later, the NFT owner can choose to resell the NFT, most NFT creators set up a royalty for every time their NFT is resold.
Minting interval
How often an NFT creator can mint or create tokens.
MOAR
A misspelling that means “more”.
Moon/Mooning
When a coin (e.g. ETH), or token, like an NFT goes exponential in price and the price graph sees a vertical climb. Crypto or NFT users then use the expression that “X token is going to the moon!”.
Moon boys
Slang for crypto or NFT holders who are looking to pump the price dramatically - taking a token to the moon - for short term gains and with no real long term vision or commitment.
N
Never trust, always verify
Treat everyone or every project like something potentially malicious.
New coiner
Crypto slang for someone new to the cryptocurrency space. Usually newcomers can be more susceptible to FUD or scammers.
NFA
Acronym for Not Financial Advice.
NFT
Acronym for Non-Fungible Token. The type of token that can be created, bought, sold, resold and viewed in different dapps. The ERC-721 smart contract standard (Ethereum blockchain) is the most popular amongst NFTs.
NFT Marketplace / NFT Auction platform
Platforms where people can sell and buy NFTs, either via an auction or pay the seller’s price. The largest NFT marketplace is OpenSea. But there are other popular NFT marketplace examples like Foundation, SuperRare, Nifty Gateway, Rarible, Hic et Nunc (HeN), etc.
NFT Whale
A NFT collector or investor who buys a large amount of NFTs.
NGMI
Acronym for Not Going to Make It. For example, something said to someone who has paper hands.
NMP
Acronym for Not My Problem.
Nocoiner
It can be someone who simply doesn’t hold cryptocurrencies, mistrust the crypto market or believes that crypto is either a scam or a ponzi scheme.
Noob/N00b/Newbie
Slang for someone new or not experienced in cryptocurrency or NFTs. These people are more susceptible to scams, drawn into pump and dumps or getting rekt on bad coins.
Normie/Normy
Similar expression for a nocoiner.
NSFW
Acronym for Not Suitable For Work. Referring to online content inappropriate for viewing in public or at work. It began as mostly a tag for sexual content, nudity, or violence, but it has envolved to range a number of other topics that might be delicate or trigger viewers.
Nuclear NFTs
An NFT or collectible with more than 1,000 owners. For the NFT to be sold or resold, every co-owners must give their permission beforehand. Otherwise, the NFT transaction can’t be made.
O
OG
Acronym for Original Gangster and it popularized by 90s Hip Hop culture. It means the first, the original or the person who has been around since the very start and earned respect in the community. In NFT terms, Cryptopunks are the OG of NFTs.
On-chain vs Off-chain
An on-chain NFT is when the artwork (like a jpeg, video or music file) is stored directly into the blockchain making it more secure and less susceptible to being stolen. But, note that most blockchains can only store small amounts of data.
Off-chain NFTs means that the high quality image, music or video file is not stored in the blockchain. But, the NFT data is stored on an external party like a) a centralized server, highly vulnerable to the server being shut down/exploited. Or b) an InterPlanetary File System (IPFS), also an external party but more secure way of finding data because it utilizes a distributed, decentralized system.
OpenSea
By far the largest NFT marketplace in the world, currently.
P
Paper Hands
A crypto or NFT holder who is permeable to negative market sentiment or FUD. And does not hold their crypto or NFT for long. Expression used to describe someone who sells as soon as NFTs enter a bear market.
PFP
Stands for Picture For Profile. Twitter users who hold popular NFTs like Crypto Punk or BAYC use their punk or monkey avatar as their profile picture.
POAP NFT
Stands for Proof of Attendance Protocol. These types of NFTs are awarded to attendees of events, regardless if they’re physical or virtual, as proof you attended.
PoS
Stands for Proof of Stake. A consensus mechanism used by blockchains like Bitcoin or Ethereum to achieve agreement, trust and security in every transaction and keep the integrity of the blockchain intact. PoS mechanisms are considered more environmentally friendly than PoW as they’re lower energy and in emissions.
PoW
Stands for Proof of Work. A consensus mechanism used by blockchains like Bitcoin to achieve agreement, trust and security and keep the transactional integrity of the blockchain intact. PoW mechanism requires a lot of computational power, therefore uses more energy resources and higher CO2 emissions than the PoS mechanism.
Private Key
It can be similar to a password. It’s a secret number that allows users to access their cold or hot wallet funds, prove ownership of a certain address and sign transactions on the blockchain.
It’s not advisable to share a private key with anyone as it makes a person vulnerable to thefts. In case someone loses or forgets its private key, it can use a recovery phrase to restore access to a crypto or NFT wallet.
Pre-mine
A term used in crypto to refer to the act of creating a set amount of tokens before their public launch. It can also be known as a Genesis Sale and is usually associated with Initial Coin Offerings (ICOs) in order to compensate founders, developers or early investors.
Probably nothing
It’s an ironic expression used by NFT enthusiasts to refer to an important or soon to be big news, project or person in the NFT space. Meaning when someone says probably nothing it actually means that it is probably something.
Protocol Coin
Stands for the native coin of a blockchain. As in Ether for the Ethereum blockchain or BTC on the Bitcoin blockchain.
Pump & Dump
The term pump means when a person or a group of people buy or convince others to buy large quantities of a crypto or an NFT with the single goal to drive the price to a peak. When the price peaks, these people sell their position high and for a hefty profit, therefore dumping the price and leaving other slower investors or newbies rekt or at a loss.
R
Rarity
Rarity in NFT terms refers to how rare an NFT is. The rarity can be defined by the number of traits, scarcity or properties of an NFT.
Reaching
Slang for an exaggeration over something to make it sound worse than what it actually is or to take a point/scenario too far.
Recovery phrase
A 12-word phrase that acts like backup for your crypto private keys. A person can recover all of the crypto wallet accounts’ private keys from the recovery phrase. Is not advisable to share the recovery phrase with anyone.
Rekt
Slang for wrecked. When a crypto or NFT project goes wrong or down in value sharply. Or more broadly, when something goes wrong like a person is price out by the gas surge or an NFT floor price goes down.
Right Click Save As
An Ironic expression used by people who don’t understand the value or potential unlocked by NFTs. Person who makes fun that she/he can easily get a digital artwork by Right Click Save As and mock the NFT space and its hype.
Roadmap
The strategy outlined by an NFT project. A way to explain to the NFT community or a potential NFT investor, the different stages, value and the long term vision of the NFT project.
Royalties
NFT creators can set up their NFT so each time their NFT is resold, the creator gets paid a percentage of the sale price.
RN
Acronym for Right Now.
Rug Pull/Rugged
Slang for a scam when the founders, team or developers suddenly leave a crypto project and run away with all the investors’ funds leaving them with nothing.
S
Satoshi Nakamoto
The anonymous creator of the Bitcoin whitepaper and whose identity has never been verified.
Scammer
Someone actively trying to steal other people’s crypto or NFTs.
Secondary
Secondary refers to secondary NFT marketplaces, where NFT collectors or investors can resell NFTs after they’ve been minted. The price of an NFT or NFT collection is determined by those who list them.
Seed phrase
Another name for recovery phrase is the 12-word phrase that allows you to recover all of the crypto wallet accounts’ private keys and regain control of the wallet. Is not advisable to share the seed phrase with anyone.
Seems legit
When an NFT project or a person in the NFT community looks promising and the real deal, meaning seems legitimate. Depending on the context can also be used ironically.
Seems rare
An ironic expression or dismissive comment used by the NFT community. For example, It can be used sarcastically when someone asks for feedback on an NFT they own or created.
Ser
Slang for sir and a polite way of addressing others in an NFT community.
Shill
Expression when someone wants to promote or get exposure to an NFT they own or created.
Shill Thread
It’s a common Twitter strategy to gain traction by encouraging NFT creators to share a link to their NFT project in the hopes of getting bought or noticed by the NFT Community and potential buyers.
Simp/Simping
A NFT holder or creator who comes off as trying to hard impress an NFT whale or investor.
Sh*tposter
A person who mostly posts meme content on Twitter for fun.
SLP
Acronym for Smooth Love Potion. It’s a token players can earn as a reward in the NFT game Axie Infinity.
Smart Contract
A self-executing contract where the terms of the agreement between buyer and seller are directly written into the code and without third party or human intervention. Ethereum is a blockchain that can execute smart contracts, on the contrary to Bitcoin which does not have that capability.
SMFH
Acronym for Shaking My F*cking Head. Common reply to a person showing unbelievable idiocy.
Sock Puppet
Scam account used to lure noob investors into fake investment services.
Snag
It means to buy an NFT quickly and for a very low price. Can also be known as sniping.
Sotheby’s
Very famous auction house that has recently auctioned Beeple’s NFTs or Bored Ape Yacht Club and Crypto Punks’ NFT collections.
Stake
Crypto term for locking up a certain amount of crypto tokens for a set period of time to earn interest. In the NFT space, there are popping up a lot of projects or services that allow NFT holders to earn interest for holding a certain NFT.
Szn
Stands for season referring to crypto or NFT market cycles.
T
TINA
Acronym for There Is No Alternative. Example: someone asks “why are you investing in BTC?”, to which the reply is “TINA”.
TINA RIF
Acronym for There Is No Alternative Resistance Is Futile.
This is the way
A commendation for positive behavior by someone in the NFT Community.
Tokenomics
Referring to the economics of cryptocurrencies, DeFi or NFT projects.
V
Valhalla
Ironic use of the Viking “heaven”. Meaning someone’s NFT collection is either going to be a profitable and blue chip project, therefore they can ascend to Valhalla or is going to tank and that person will have to work at a Mcdonald’s.
Vibe
Term used to express a positive emotional state.
Volatile/Volatility
Term used to describe rapid market fluctuations and crypto or NFT prices go up and down quickly in a short period.
W
WAGMI
Acronym for We Are Going to Make It. Rally cry to build momentum for a crypto or NFT project and lead even more people into buying, shilling or supporting a specific project.
Wallet
There can be a hot or cold wallet, but both are a place where someone can store their cryptocurrency and tokens. Hot wallets are always connected to the Internet like MetaMask, Trust wallet or Phantom. On the contrary cold wallets are hardware wallets to store crypto or NFTs offline like Nano Ledger.
Weak Hands
Synonymous with Paper Hands. Someone who immediately sells their crypto or NFT because of a bear market, FUD or any other negative sentiment.
Web 1.0
Refers to the beginning of the Web. A period from around 1990 to 2005, also known as the read-only web.
Web 2.0
Refers to an iteration of Web 1.0. From 2005 to the present moment, where social media platforms like Facebook, Instagram, TikTok, Google, Twitter, etc reshaped the web, therefore becoming the read-write web.
Web 3.0
A term coined by Ethereum co-founder Gavin Wood and it’s an idea of what the future of the web could look like. Most peoples’ data, info or content would no longer be centralized in Web 2.0 giants - the Big Tech - but decentralized, mostly thanks to blockchain technology. Web 3.0 could be known as read-write-trust web.
Wen
As in When.
Wen Moon
Popular expression from crypto Twitter not so much in the NFT space. Refers to the still distant future when a token will moon.
Whitepaper
Document released by a crypto or NFT project where it lays the technical information behind the concept, vision, roadmap and plans to grow a certain project.
Whale
Someone who owns a large position on a specific or many cryptos or NFTs.
Y
Yodo
Acronym for You Only Die Once. The opposite of Yolo.
Yolo
Acronym for You Only Live Once. A person can use this when they just realized they bought a shitcoin or crap NFT and they’re getting rekt.
Original post