Technology
The Dark Side of the Internet
The term Dark Web is evocative. It conjures up images of hitmen, illegal drugs, and pedophilia. One imagines a place where the dark side of human nature flourishes away from the eyes – and laws – of society at large.
Today’s infographic, from Cartwright King Solicitors, cuts through the mystique and provides an entertaining and practical overview of the Deep Web and the Dark Web.
Layers (Part 1)
Much like the ocean, the internet is divided into defined layers.
The internet most people are familiar with is called the Surface Web. Websites in this layer tend to be indexed by search engines and can be easily accessed using standard browsers. Believe it or not, this familiar part of the web only comprises less than 10% of the total data on the internet.
The next layer down, we encounter the largest portion on the internet – the Deep Web. Basically, this is the layer of the internet that is quasi-accessible and not indexed by search engines. It contains medical records, government documents, and other, mostly innocuous information that is password protected, encrypted, or simply not hyperlinked. To reach beyond this layer of the internet, users need to use Tor or a similar technology.
Layers (Part 2)
Tor, which stands for “The Onion Router”, is how the majority of people anonymously access the Dark Web. Tor directs internet traffic through complex layers of relays to conceal a user’s location and identity (hence the onion analogy).
In 2004, Tor was released as an open source software. This allowed the Dark Web to grow as people could anonymously access websites.
Since anonymity is sacrosanct in the deep reaches of the Internet, transactions are typically conducted using cryptocurrencies like Bitcoin or Ethereum. People making purchases in Dark Web markets are (understandably) concerned with privacy, so they often use a series of methods to transfer funds. Below is a common transaction flow on the Dark Web.
Tumblers are used as an extra step to ensure privacy. A conventional equivalent would be moving funds through banks located in countries with strict bank-secrecy laws (e.g. Cayman Islands, Panama).
What’s Going on Down There?
The concept of the Dark Web isn’t vastly different from the Surface Web. There are message boards (e.g. 8chan, nntpchan), places you can buy things (e.g. Alphabay, Hansa), and blogs (e.g. OnionNews, Deep Web Radio). The rules, or rather a lack thereof, is what makes the Dark Web unique.
Anything that is illegal to sell (or discuss) on the Surface Web is available in the Dark Web. Personal information, drugs, weapons, malware, DDoS attacks, hacking services, fake accounts for social media, and contract killing services are all available for sale.
The Dark Web is full of criminal activity, but it’s also place where dissidents and whistle-blowers can anonymously share information. In countries with restrictive internet surveillance, the Dark Web may be the only place to safely voice criticisms against government and other powerful entities.
Measuring in the Dark
Many .onion sites are only up temporarily, so determining the true size of the Dark Web is nearly impossible. That said, Intelliagg and Darksum recently attempted to map out the Tor-based Dark Web by using a script to crawl reachable sites. They found 29,532 websites; however, 54% of them disappeared during the course of their research. Another recent study found that 87% of Dark Web sites don’t link to any other sites.
It is more accurate to view the darkweb as a set of largely isolated dark silos.
– Graph Theoretic Properties of the Dark-web
Recent changes to Tor, such as 50-character hidden service URLs, have made the Dark Web an even more untraceable place, so we may never fully know what lies beneath the surface of the internet. Based on the parts we have seen, perhaps that’s for the best.
AI
Visualizing the Top U.S. States for AI Jobs
Nearly 800,000 AI jobs were posted in the U.S. throughout 2022. View this graphic to see a breakdown by state.

Visualizing the Top U.S. States for AI Jobs
Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.
This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.
In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.
Rank | State | Number of job postings | % of total |
---|---|---|---|
1 | California | 142,154 | 17.9% |
2 | Texas | 66,624 | 8.4% |
3 | New York | 43,899 | 5.5% |
4 | Massachusetts | 34,603 | 4.3% |
5 | Virginia | 34,221 | 4.3% |
6 | Florida | 33,585 | 4.2% |
7 | Illinois | 31,569 | 4.0% |
8 | Washington | 31,284 | 3.9% |
9 | Georgia | 26,620 | 3.3% |
10 | Michigan | 25,366 | 3.2% |
11 | North Carolina | 23,854 | 3.0% |
12 | New Jersey | 23,447 | 2.9% |
13 | Colorado | 20,421 | 2.6% |
14 | Pennsylvania | 20,397 | 2.6% |
15 | Arizona | 19,514 | 2.5% |
16 | Ohio | 19,208 | 2.4% |
17 | Maryland | 16,769 | 2.1% |
18 | Minnesota | 11,808 | 1.5% |
19 | Tennessee | 11,173 | 1.4% |
20 | Missouri | 10,990 | 1.4% |
21 | Oregon | 10,811 | 1.4% |
22 | Washington, D.C. | 9,606 | 1.2% |
23 | Indiana | 9,247 | 1.2% |
24 | Connecticut | 8,960 | 1.1% |
25 | Wisconsin | 8,879 | 1.1% |
26 | Alabama | 7,866 | 1.0% |
27 | Kansas | 7,683 | 1.0% |
28 | Arkansas | 7,247 | 0.9% |
29 | Utah | 6,885 | 0.9% |
30 | Nevada | 6,813 | 0.9% |
31 | Idaho | 6,109 | 0.8% |
32 | Oklahoma | 5,719 | 0.7% |
33 | Iowa | 5,670 | 0.7% |
34 | South Carolina | 4,928 | 0.6% |
35 | Louisiana | 4,806 | 0.6% |
36 | Kentucky | 4,536 | 0.6% |
37 | Nebraska | 4,032 | 0.5% |
38 | Delaware | 3,503 | 0.4% |
39 | New Mexico | 3,357 | 0.4% |
40 | Rhode Island | 2,965 | 0.4% |
41 | New Hampshire | 2,719 | 0.3% |
42 | Hawaii | 2,550 | 0.3% |
43 | Mississippi | 2,548 | 0.3% |
44 | Maine | 2,227 | 0.3% |
45 | South Dakota | 2,195 | 0.3% |
46 | Vermont | 1,571 | 0.2% |
47 | North Dakota | 1,227 | 0.2% |
48 | Alaska | 970 | 0.1% |
49 | West Virginia | 887 | 0.1% |
50 | Montana | 833 | 0.1% |
51 | Wyoming | 769 | 0.1% |
The following chart adds some context to these numbers. It shows how the percentage of AI job postings in some of the top states has changed since 2010.
We can see that California quickly became the primary destination for AI jobs in the early 2010s, presumably as Silicon Valley companies began developing the technology.
California’s share has since declined, with a significant number of jobs seemingly moving to Texas. In fact, many tech companies are relocating to Texas to avoid California’s relatively higher taxes and cost of living.
The 10 Most In-Demand Specialized Skills
Lightcast also captured the top 10 specialized skills that were required for AI-related jobs. These are listed in the table below.
Skill | Frequency (number of postings) | Frequency (% of postings) |
---|---|---|
Python | 296,662 | 37% |
Computer Science | 260,333 | 33% |
SQL | 185,807 | 23% |
Data Analysis | 159,801 | 20% |
Data Science | 157,855 | 20% |
Amazon Web Services | 155,615 | 19% |
Agile Methodology | 152,965 | 19% |
Automation | 138,791 | 17% |
Java | 133,856 | 17% |
Software Engineering | 133,286 | 17% |
If you’re interested in a career that focuses on AI, becoming proficient in Python is likely to be a good first step.
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