Recent advancements in AI could impact the cryptocurrency trading industry
Two GPT-4 API applications, BabyAGI and AutoGPT, are popular among crypto enthusiasts
However, GPT-4 has limitations with hallucinations and memory recall
4 - 6 minute read
Recent developments in artificial intelligence (AI) have the potential to disrupt the cryptocurrencytrading industry. Two applications, BabyAGI and AutoGPT, built on OpenAI’s GPT-4 API have caught the attention of the cryptocommunity, with many attempting to build trading bots on top of them. The apps involve task management for GPT-4 and have the potential to serve as the backbone for a multi-agent, fire-and-forget AI application capable of managing a crypto portfolio from top to bottom. However, there are still limitations to consider, including GPT-4’s tendency to hallucinate and its inability to recall information from previous interactions.
The two apps, BabyAGI and AutoGPT, are built on OpenAI’s GPT-4 API and have received particular notice from the crypto community. Currently, GPT-4 excels at natural language processing (NLP), as is evidenced by the demonstrable usefulness of the ChatGPT interface, but it has no capacity for memorization. Applications built on the GPT API are limited to single-session use, meaning the model can’t recall information from previous interactions. Some developers have discovered a potential method for circumventing these limitations by building applications that take advantage of GPT’s ability to generate code and connect to external sources.
AutoGPT uses GPT-4 to generate code and then uses GPT-3.5 as what appears to be a virtual artificial memory space wherein information is combined and shuttled between the two. Another effort, BabyAGI, combines GPT-4 with LangChain, a coding framework, and Pinecone, a vector database, to spawn new agents in order to complete complex tasks without losing focus on the original objective.
“Currently, GPT-4 excels at natural language processing, as is evidenced by the demonstrable usefulness of the ChatGPT interface, but it has no capacity for memorization.”
This quote highlights the limitation of using GPT-4 for building trading bots. Despite its natural language processing capabilities, its inability to recall information from previous interactions means that even the most robust bot built on the GPT API would typically require heavy human supervision.
“Some developers have discovered a potential method for circumventing these limitations by building applications that take advantage of GPT’s ability to generate code and connect to external sources.” The quote indicates that developers are looking for ways to overcome GPT-4’s limitations and find alternative ways to build trading bots. The potential of AI to create fully-autonomous, self-correcting trading bots has piqued the interest of the crypto community, but it’s clear that there are still challenges to overcome.
AutoGPT set to 100 runs. Goal: amalgamate best indicators for Crypto trading in Pine code. Result looping errors. Scavenged through output, found enough bits for GPT4 to give me strategy Pine code. 4hr backtested 2018 to now. $25 to $92M. Started test today, currently $1 profit
Traders need to consider the potential risks and opportunities of using AI-powered trading bots. While AI can automate various tasks and provide real-time insights into market trends, there is still the risk that AI-generated strategies may not be effective in all market conditions. Traders should also remember that AI is not infallible and there is still a need for human oversight. Nevertheless, using AI-powered trading bots can help traders to make better-informed decisions and optimize their trading activities.
The Bottom Line
The emergence of GPT-4 apps BabyAGI and AutoGPT has the potential to disrupt the cryptocurrency trading industry. While the apps involve task management for GPT-4, the limitations of single-session use and GPT-4’s tendency to hallucinate means that even the most robust bots built on the GPT API would typically require heavy human supervision. Nevertheless, the potential of AI to create fully-autonomous, self-correcting trading bots has piqued the interest of the crypto community, and traders need to consider the potential risks and opportunities of using AI-powered trading bots. The bottom line is that while AI-powered trading bots can help traders to make better-informed decisions and optimize their trading activities, they are not infallible, and there is still a need for human oversight.
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