The document below is a summary of my 53 minute fireside chat with Daniel Priestley at the AI Dinner in London on the 28th March 2023.

The discussion was recorded on an Apple iPhone (using memo) then played back in an empty Google Meet with transcription turned on. The resulting document was 5,839 words in length.

That transcription was then summarised by ChatGPT (by OpenAI) using the following prompt:

“Summarise the following fireside chat at the AI Dinner in London on Tuesday the 28th March with Daniel Priestley into at least 500 words but no more than 550 words”


In this fireside chat at the AI Dinner in London on Tuesday, March 28th, Daniel Priestley, as the speaker, discussed various topics related to technology and business. Daniel is a co-founder at a company called Scoreapp and has worked with AI Professor Andy Pardoe. Daniel emphasized the power of AI in creating content and how it can exploit people’s susceptibility to consume more, leading to rabbit holes and overconsumption. On the other hand, AI can provide incredible tools for creation to those who enjoy it, but this could lead to a society of haves and have-nots, as it did with the automation of agriculture. Dnaiel believes that AI is the new “digital soil” and predicts that those who own the technology will become the new landowners, resulting in a rapid increase in wealth for some individuals and teams in the next five years. However, this will create a divide between those who have privacy and those who do not.

Daniel suggests that unless data is treated as a natural resource, society will be dominated by computers.

We also discussed the potential for technology to revolutionize industries and create new job opportunities. Daniel believes that anything competitive that involves people talking on keyboards and looking at screens would be a great place to start a successful business with a magic wand. We compared the current state of technology to the introduction of China’s manufacturing capacity in the world economy, which caused a significant shift in the job market. Daniel also mentioned the growing use of AI and prompts in technology, which could make tasks easier for people to accomplish and create new job opportunities. They used the analogy of planting seeds to describe the process of prompting in AI technology.

We discussed the impact of technology on society and how it is changing the nature of work from physical labor to mental labor. Daniel believes that humans will eventually free themselves from all intellectual labor, leaving only physical labor to be done by machines, which will be emotionally satisfying. However, there will still be roles within the business that will involve human interaction, such as customer service. Daniel also noted that there are strong feelings associated with technology, such as those related to climate change and medical advancements that save lives. A member of the audience suggested that changing minds is the key to solving these issues, rather than just relying on technological advancements.

Daniel touched on the potential dangers of AI and how it can manipulate people’s opinions and behaviors. Daniel discussed the impact of social media algorithms on individuals’ perceptions of reality and the difficulty of having reasonable conversations when people have different emotional reactions to information. Daniel also expressed concern about the control of AI and how it can influence society. One of us mentioned that AI can drive individuals down information rabbit holes, leading them to become suspicious and less informed. Daniel discussed the potential for misinformation to spread through AI and social media and how it can have negative consequences. Daniel also touched on the possibility of future AI versions being able to access the internet and cross-check information. Overall, Daniel is concerned about the negative effects of AI on society and the importance of being aware of its potential dangers.

Lastly, Daniel discussed the potential of advanced AI technology, specifically chatbots that can access and control other AIs to complete complex tasks. The example given is a chatbot that can plan and book a personalized vacation for a user, including flights, hotels, and itinerary, all while clearing the user’s schedule. Daniel also touched on the potential implications of this technology in marketing and selling, with the ability to personalize recommendations based on data analysis of a user’s social media activity and communication style.

Duncan Gledhill (Email Guy | Digital Entrepreneur | Geek)

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