Introducing Margie’s Conversations with AI
To keep up with the rapid advances in AI, I subscribe to a lot of newsletters. No human could read them all, but I scan these messages daily for information that might be of particular use in our work as talent development professionals. In this section on the website, I’m documenting the tests and “conversations” that I have with these tools, to help describe my experience with them. These are not “unboxing” reports, and I’m not paid by any providers to review their products or say nice things about them. In fact, so far, my experience in these little experiments has been a mix of disappointment, concern, and faint recognition of future promise – not the stuff that most providers would pay to have spread around.
The list isn’t exhaustive or systematic. I just try out a new tool that interests me, and I document my initial encounter along with any conclusions I’m able to draw. Keep in mind that each exchange with an AI is unique, so your experience may be different.
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My Conversations with AI So Far…
Can We Teach LLMs to Think?
As more people are using Large Language Models, we’ re starting to consider how to move from seeing these powerful systems as tools to wondering if they can reason, solve problems, maybe even have emotions somewhat akin to our own. This is a particularly challenging question since we humans are still trying to understand our own cognitive processes. How can we possibly recognize cognition in other species, let alone artificial agents?
Read on here.
Can We Teach AI to Think?
A few weeks back, I shared a “conversation” I had with Claude Sonnet 3.5, regarding the potential for AIs to develop cognitive abilities that include intelligence and emotion. I picked up the conversation recently and wanted to share it with you.
Read how the conversation unfolded here.
Giving Kyutai’s Moshi Voice Assistant a Meltdown
French AI lab Kyutai recently released Moshi, an open-source competitor to OpenAI’s GPT-4o. This voice assistant can listen, hear, and speak in real time. I’ve been looking for a tool like this, so I hopped on the demo site and gave the tool access to my microphone. I tried the European and the U.S. version. Both speak with a voice that sounds like a formal British female.
Moshi is significant because it can be installed locally to run offline. This could provide more security and personalization as the tool continues to evolve.
Read & Listen to how the conversation unravelled with Moshi here.
