33 Signs that Bitcoin Growth Isn't Slowing in 2016
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33 Signs that Bitcoin Growth Isn’t Slowing in 2016

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33 Signs that Bitcoin Growth Isn't Slowing in 2016

33 Signs that Bitcoin Growth Isn’t Slowing in 2016

It’s been a year of mixed results for cryptocurrency enthusiasts and speculators.

The biggest positive for Bitcoin is that it was actually the best performing currency this year, ahead of the US Dollar and the Israeli Shekel. Bitcoins have climbed a solid 21% in value over the course of the year in USD terms, and even more relative to other currencies. While the cryptocurrency hasn’t reached the heights it did in 2013, this is still a sign of positive strength.

On the other hand, mainstream news around Bitcoin over the course of 2015 has been distracting at best.

Ross Ulbricht, the man supposedly behind Silk Road, was sentenced to life imprisonment in May without the possibility of parole.

More recently, the Hunt for Satoshi has also heated up. Wired and Gizmodo subsequently both published reports that former Australian academic Craig Steven Wright was the creator of Bitcoin. Within hours, his house was raided by Australian police as part of an “unrelated” case. Days later, Wired rescinded its affirmation that Wright was the creator of the cryptocurrency, and instead asserted it was an elaborate hoax.

Lastly, despite close to $500 million in venture capital going into cryptocurrency-related pursuits, so far there hasn’t been any breakthroughs or apps that have captured the public’s eye. There has been progress and recognition around the merits of blockchain technology, but ultimately Bitcoin remains in the trough of disillusionment.

Bitcoin Growth in 2016

Today’s infographic highlights 33 signs that growth in Bitcoin will not slow down in 2016.

In our opinion, here are the most important reasons:

  • The total amount of VC investment in Bitcoin since 2012 is $927 million. Over half of this investment has occurred in 2015 alone.
  • World-class merchants now accept bitcoins for payment, including: Microsoft, Dell, Expedia, Dish, Overstock, TigerDirect, and Intuit.
  • Transaction fees with bitcoins are extremely low: 0.0001 BTC per 1000 bytes.
  • Daily transactions occurring with bitcoins amount to about $289 million per day. This is comparable to Paypal ($397 million), Square ($362 million), or Western Union ($216 million).

Original graphic by: BargainFox

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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