[ad_1]
As artificial intelligence tools become more powerful and accessible, can they help more people understand Bitcoin?
This is an opinion editorial by Krum Krumov, a writer and editor with Bitcoin-focused venture design studio Peak Shift Ltd.
Bitcoin innovation thrives, with new projects being released every month. As excited as I was about this outburst, I have to admit it was incredibly hard to keep up with. But there’s a lot more to be excited about in tech than Bitcoin. More specifically, the launch of the ChatGPT AI language model has revolutionized research.
The potential of combining Bitcoin together with AI research made me immediately think: Is the information provided by AI accurate? Is the source relevant? Can AI keep up with the booming Bitcoin and Lightning Network?
In this article, I will explore the benefits and limitations of using AI when researching Bitcoin, based on my personal experience highlighting the pluses and minuses. Let’s get into what I found!
Research Simplified By AI
Artificial intelligence has changed the way we do research. I find this interesting, because it has the potential to bring a lot of people to Bitcoin through the accessibility of information. AI algorithms sift through vast amounts of data, automatically identify the most useful information and return it to you in clear, easy-to-understand language. This saves time and effort when searching for resources.
We’ve all experienced the agony of rummaging through random blog posts and articles, and we know how time-consuming and confusing it can be. I remember the steep learning curve I had to go through when I first encountered Bitcoin. Why don’t I have AI to show it all for me just by asking a few questions?
In this way, AI can make general information about Bitcoin easier to understand and doable in almost any language. You can even ask him to clarify further and further! The result is that Bitcoin’s famous learning curve will become much easier for anyone, anywhere to understand. With ease of understanding, we get wider adoption.
Information Organizing
One of the most prominent features of AI is its ability to organize information in seconds. With the growing amount of data available about Bitcoin and Lightning, there couldn’t be a more useful tool than one that can piece together information. I admit that AI is now my 24-hour personal assistant. It’s knowledgeable, fast, and can play text as I ask it to. Yes, it can even make you talk about sailors and Shakespeare.
AI organizes and categorizes information, making it easier for users to find what they need, while presenting it the way they want. Some of the ways we can do this is by asking AI to extract the main points from a text, create a study plan, simplify language, translate, clarify, point articles, and the list goes on. .
Organization and sorting are very useful for researchers, investors, entrepreneurs, journalists, students and general students trying to understand any aspect of the Bitcoin or Lightning Network. For example, we may ask it to provide us with a list of resources and prioritize them based on our importance criteria.
Limitations of AI research
Despite the benefits, there are major limitations to consider when using AI to research the Bitcoin network in 2023. One limitation is that the insights provided by AI-powered tools may be less accurate or factually reliable than more traditional research methods. This is because ChatGPT knowledge is limited to data until 2021, and does not reflect more recent Bitcoin or Lightning Network developments. Lightning in particular is experiencing a development boom with the rapid changes in technology and available tools. Just look at some of the recent Lightning hackathons that have happened. Therefore, the limitation on the timeframe of AI is a serious factor to consider.
Considering builder events like hackathons, the development of Bitcoin and Lightning is very rapid. Even fans have a hard time keeping up. There are developers working on Bitcoin all over the world and new resources and information are becoming available all the time. This rapid growth is making it difficult for AI systems to keep up, and anyone looking for current data and trends will need to look elsewhere.
Another limitation affecting AI is the open source nature of Bitcoin and Lightning. AI has limited knowledge of newly hatched independent resources. Therefore, the information provided by AI-powered tools will be more general and may not cover specific innovations in the network.
And another thing that’s missing is the lack of on-the-fly data. Getting an up-to-date and comprehensive picture of the network is not possible at this stage with AI. For investors and entrepreneurs, up-to-date and on-the-fly data is very important. Fortunately, there are resources and tools outside of AI models that provide direct data for research. For visual and hands-on Lightning Network research with graphs, maps, and charts, you can try platforms like The Lightning Network Explorer or Amboss.
Wrong information
From my research using AI, I found that there is fake information coming in. It can be tricky. At first glance, the content may look good, but if you are an expert in the field, you will quickly notice holes in the text. This is why we still need humans who can check any facts coming from AI.
For example, when I ask ChatGPT for Lightning resources, it gives me a list, but I can’t find all of the resources listed when I run a Google search, which makes me wonder if some of these resources actually exist. Therefore, in 2023, here is another reason why we need the human touch. We can’t completely trust you yet, AI.
AI Promises, But There’s Work To Be Done
In short, AI helps us research Bitcoin by providing general information, expanding learning opportunities, translating, explaining, and organizing information. But the limitations of AI include limited resources, lack of data on smaller projects, unverified information and faulty resources
The very fast development of Bitcoin and Lightning projects is something that AI cannot keep up with because the limit is in 2021, AI has limited knowledge of independent niche innovations and exploration of live Bitcoin and Lightning Network data is another area that is lacking in AI.
Ultimately, while AI simplifies research, it is limited to more general information because it lacks up-to-date data on newer or lesser-known industry releases. Plus, currently, AI is limited to information only until 2021.
When diving into Bitcoin research, I recommend starting with AI and moving on to more Bitcoin-specific tools for network exploration. Even using something like Wikipedia to double check the information, if you know very little about Bitcoin, can be very helpful.
All in all, use AI to organize and explain your information and familiarize yourself with general and broader topics. For something that goes deeper than the “what” and “when” questions, pay more attention and use up-to-date, verified sources. By using AI with care, you will achieve your goals faster and more efficiently in 2023 and beyond.
This is a guest post by Krum Krumov. The opinions expressed are entirely theirs and do not necessarily reflect those of BTC Inc or Bitcoin Magazine.
[ad_2]
Source link
