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On this first episode of #MXTalks, we delve into the capabilities of ChatGPT, an advanced language processor that understands human-like language, and its potential to replace certain repetitive jobs such as customer support and lower-level lawyers and doctors. Additionally, we examine the rapid advancements and ethical implications of AI, as well as the fears surrounding AI taking over the world. For all you busy people out there, here's the gist of the episode condensed into a 5 minute read! You're welcome.

1. ChatGPT and its Capabilities

– Data Science, AI, and Machine Learning have become popular in the commercial area in the last five years.
– ChatGPT is an advanced language processor that understands human-like language and is able to link its knowledge base with the internet to provide answers to human queries.
– Eric has tried some AI tools before, such as those that create art and bad songs, but none has impressed him as much as ChatGPT.
– ChatGPT finds the best answer it can find on the internet. However, it does not verify its accuracy or attempt to calculate a solution.
– ChatGPT’s capability to link human language and AI is also why some people find it scary.
– The program can detect emotions conveyed through written language and respond accordingly.
– If AI can create original jokes that capture the imperfections and surprises of human life, it would be considered true creativity.
– Currently, AI jokes are often plagiarized from the internet.

 

2. AI in Everyday Life

– AI is going to replace many of our tasks slowly.
– GPT (AI language model) can already replace some repetitive tasks, such as customer support that relies on phone calls.
– The current chatbots are annoying and don’t understand what the user wants.
– Bank receptionists, customer support, and lower level lawyers and doctors can be replaced by GPT, for simple tasks that don’t require much discussion or debates.
– Although AI has made significant advancements, certain jobs like doctors cannot be fully replaced due to other factors.

 

3. AI in Gaming

– Difficulty settings on computer games are not true AI settings, but rather handicapped levels that reduce player abilities or make it easier for the character to die.
– In the future, complete games could be designed so that the AI learns the player’s moves and makes the game harder by countering their strategies.
– Uncertainty about whether this is a positive or negative development, as AI may outperform humans in the game.

 

4. Risks of AI

– The COVID-19 pandemic has shown that although knowledge is free-flowing with the internet, there is also a lot of fake news and inconsistent information being spread.
– With the addition of fake news AI that can produce realistic pictures and videos, it is becoming harder to differentiate between what is real and what is not.
– The ability to manipulate information could lead to manipulation of events in the world, which is a scary thought.
– The potential for fake news AI to generate entire news channels based on fake news is a worrying trend.
– However, Shin believes that fears about AI taking over the world are unfounded, as this idea has been present since the 1950s and is unlikely to happen.

 

5. AI Ethics

– AI is becoming smarter and can potentially know everything about data we feed it.
– Ethics surrounding AI are becoming more important, particularly in areas like self-driving cars.
– Responsibility for any negative outcomes of AI is difficult to resolve and needs to be considered.
– AI ethics will become a key topic in the next few years as AI becomes more mainstream.

 

Disclaimer: None of this is financial or tax advice. This podcast and article is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions. We recommend that you talk to your financial advisor, or do your own research. For more information, please refer to our Terms of Service.

 

 

Footnote:
This article has been generated by AI, extracting content from our recent podcast episode. Some nuances or context may vary from the original audio discussion.