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Education

Future of AI Meetup at the Asia School of Business!

In the past couple of weeks, I’ve had the chance to speak at a couple of events concerning generative AI, most recently the Future of AI meetup with NextUpAsia at the Asia School of Business!

As one of the invited speakers for this event, I had the chance to talk a lot about the different uses of AI in enterprise, drawing a distinction between generative AI and AI for process improvement, and also got the chance to highlight my thoughts about artificial intelligence in the context of business and in education, to demonstrate Midjourney for enterprises (and to create a t-shirt design for the Asia School of Business!), and to meet many new and interesting collaborators with whom I think there will be lots of unique opportunities to work together.

Some of these clips show you what happened at the session:

#1: Panel discussion about generative AI technologies.

During this part of the session, my fellow panelists Johnson Goh, Shahbaaz D’Ali, and Jason Sosa had a lively discussion with the audience about the present and future of AI technologies, touching upon the impact of generative AI on different industries, as well as some of the core limitations of generative AI.

Everyone came well-prepared with examples and topics to discuss, and it was mindblowing to watch the average level of discussion on the floor that night! My particular contribution to the session was to discuss the concept of the AI hallucination, which I’ll probably speak a little bit more about in another post later on, during which I observed that rather than replacing humans, it’s likely that generative AI will simply create an increased demand for humans who can exercise higher quality critical thinking and judgment in the future.

#2: Education in AI – A Discussion.

During this part of the session, I had the chance to highlight some of the key challenges and opportunities posed by Artificial Intelligence in education, and to also draw attention to the recent (and admirable!) actions of Singapore’s Minister Chan Chun Sing in highlighting an AI strategy for the Singaporean education system alongside speaking about some of the challenges and opportunities that students will face in the future as a consequence of the development of generative AI technologies.

Thoughts about the education system and AI preparedness.

#3: A Midjourney Enterprise demonstration.

This was rather spontaneous, but I had the chance to conduct a training about the ways that ChatGPT and Midjourney can integrate with one another in order to create something that is greater than the sum of their parts, by facilitating the process of image generation at scale.

Surprisingly, that’s not all as boring as it might initially sound, because we had the chance to create foods from a Ramadhan bazaar and to showcase these as proofs of concept to business owners along the way as well!

ChatGPT and Midjourney demonstration!

Conclusion:

Overall, this talk was an incredible experience that I think has opened up a host of interesting new opportunities and a new frontier for me, as well as an enjoyable evening where I truly felt that I was living the life of the mind as I participated in a conversation that no doubt will continue to dominate the consciousness of people around the world in the days moving forward.

It was a huge privilege to be a part of the AI conversation and to begin talking about the ways in which AI can be used by businesses as part of their journey onward into the 21st century, and I’m thrilled to look at the opportunities ahead in the days to come 🙂

Thank you to NextUpAsia and the Asia School of Business established in collaboration with MIT for having me!

P.S. Work has been busy, but it’s beginning to dovetail more with writing and creating a lot more – I’ll try to write more regularly soon!

ChatGPT For Software Development

Today, I had the incredible opportunity to interview a software developer from Maps72 about the role of ChatGPT in software development, and you’ll have the opportunity to watch it right here:

For a description of the event, I guess you could just read the description that I placed on LinkedIn (Feel free to connect!):

It was my first time hosting an event and a chat like this in a while, and I really enjoyed learning from Rain throughout the course of this rousing conversation. Please enjoy the chat and what it brings, and I hope that you learn a ton from it!

I’ll be trying out a tool that Si Eian (one of my numerous friends from the ChatGPT group) told me about recently, which allows a person to just go right ahead, summarize a piece of work, and then have the takeaways all available and on hand – but if you have the time, I highly recommend that you take the time to listen to Rain and everything that he has to say because he is a consummate professional, a wonderful speaker, and it’s going to give you specifics for how you can level up your software development game in 2023. 🙂

Also, hmm – I know that I was a little bit emo in the post a little earlier today, but trust me when I say that a lot of interesting things are lining up in this world for me for some reason.

I don’t quite know why and I don’t quite know how, but they are somehow – and I’m very happy for it.

Lots of new friends along the way, lots of new joys, and lots of peace that each day is somehow meaningful, educational, a chance to share new things with the world that I would have never imagined having just a while ago 🙂

Cheers and here’s to the next part!!

ELIZA – The Chatbot That Started It All.

I’ve been doing quite a bit of reading recently to prepare for BiZ Gear Up on the 24th, and part of that led me to read a bit more about the early history of chatbots – I hope you’ll enjoy this one!

We take a brief moment to move away from the hype that is OpenAI‘s ChatGPT, and take a brief intermission as we make a small trip back in time.

Picture this: it’s the year 1966, and a computer scientist at the Massachusetts Institute of Technology‘s Artificial Intelligence Laboratory named Joseph Weizenbaum has just created something remarkable – the world’s very first chatbot: ELIZA.

No alt text provided for this image
Image credit: Public domain via Wikimedia Commons

Just consider this example of a conversation from Norbert Landsteiner’s 2005 implementation of ELIZA, and you can see what it was capable of.

ELIZA was designed to simulate conversation by responding to typed text with pre-programmed phrases and questions.

But what made ELIZA so special was that it was programmed to mimic the conversational style of a therapist, in particular a Rogerian therapist.

Users could “talk” to ELIZA about their problems and concerns, and the chatbot would respond with empathetic and non-judgmental phrases like “Tell me more about that” or “How does that make you feel?”

It wasn’t just a simple question-and-answer program – it was designed to provide a sense of emotional support and understanding that reflects interestingly on the ways that people derive comfort from self-affirmation.

Weizenbaum didn’t intend for the chatbot to be taken very seriously, calling it a “parody” in his 1976 book “Computer Power and Human Reason”… But the way that the chatbot was received was far from just a parody.

The response to ELIZA was overwhelming.

People were fascinated by this new technology that could seemingly understand and respond to their thoughts and emotions, and the program quickly gained popularity as people tried the chatbot.

But perhaps what’s most remarkable about ELIZA is that it wasn’t just a novelty. Weizenbaum’s creation laid the foundation for decades of research in the field of natural language processing and artificial intelligence.

ELIZA was the first chatbot, but it certainly wouldn’t be the last – and its legacy lives on in the many conversational AI programs we use today, in our Bings, Bards, ChatGPTs, Claudes, and the many more that exist and will exist today.

Can’t wait to see what is to come 🙂