EXISTING PROBLEMS

Trading Bots

Auto Crypto trading bots in 2023 pose a number of existing problems. Firstly, bots require accurate and reliable data sources to inform their decisions. If these data sources are compromised or inaccurate, the bot's decisions can be based on bad information which could lead to considerable losses. Secondly, having a secure way to connect a bot to an exchange is essential but often difficult due to the frequent changes in exchanges' security protocols. Lastly, crypto markets are highly volatile and unpredictable making it is challenging for auto trading bots to accurately predict market moves and price movements ahead of time; creating a risk of significant financial loss due to unexpected price trends and movements.

AI & Machine Learning

Ai and Machine learning have made incredible advances since their introduction in the late 1990s, but a number of existing problems remain unresolved. In the future, it is essential that safety protocols continue to be developed given the potential ethical harms posed by autonomous systems, from privacy breaches to correlations between algorithmic bias and racial disparities in sentencing outcomes. Additionally, while natural language processing continues to improve, there are still struggles with interpreting context properly. Further research and development is also needed to reduce energy consumption by AI-based applications. Finally, as AI becomes more prevalent, security threats will become more serious; both hardware and software must be designed with safeguards against malicious actors.