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I’m enjoying my school holidays now, but when the chance arose for me to deepen my AI understanding with regard to Google NotebookLM, I seized it.
I have had some experience using this generative AI tool. I think that the edge it offers over other similar tools is its ability to produce podcasts. However, despite my prompting, it always generates podcasts that are at least 5-6 minutes long. Which mayn’t seem like a big deal, but when you teach teenagers who are drunk on dopamine-immersive experiences, it’s difficult for them to focus on a podcast that long. So, it was with this enquiry in my heart that I arrived at the workshop venue.
The facilitator, Mr Chan Kuang Wen, used Padlet to structure his workshop. You can view it here and follow his thought process. I thought his systematic and controlled way of bringing us from one aspect to another was commendable.
Right off the bat, we were given 15 minutes to explore any topic that we were interested to know about. I didn’t even realise you could use it like that. I had always uploaded my documents onto NotebookLM and gotten it to generate podcasts/study notes/mindmaps. However, I didn’t hesitate for long. A topic close to my heart is inculcating financial literacy in my son. So, that was what I keyed into the system.
Instantly, NotebookLM collated ten sources that seemed legit:
I could then ask it questions that would elicit the key learning points from all these sources. Like what you would use ChatGPT. I did pick up something useful from its suggestions - find a transparent piggy bank to motivate my son to save money since he can witness his savings grow bit by bit. That’s something I have not thought about!
Tried to generate a podcast. Specifically asked for a short one, but it turned out to be six minutes long. A fellow workshop participant was working with 45 sources; his podcast turned out to be 45 minutes long! I guess the duration of the podcast is somewhat directly correlated to the number of sources. But if I decide to narrow the scope of the sources, I will probably get a shorter podcast - but the responses I receive might not be very comprehensive. Thus lies the dilemma when using NotebookLM.
This is how we can use NotebookLM to generate resources in a nutshell:
Subsequently, the workshop took on an unexpected direction. Kuang Wen first taught us to use the sentence starter “Yes, and…” and allow for the divergent generation of ideas.
He posed us the question: How might we use NotebookLM in unique ways that are rendered unavailable by similar LLM tools? We were then given Post-It notes and instructed to pen one idea per Post-It. He encouraged us not to censor ourselves since our first 7 ideas are bound to be crap anyway,
Okay, I’m not one who can just let myself go. I only came up with four ideas that I thought were reasonably good.
After the individual brainstorming process, we were asked to consolidate our ideas. This is what my group came up with:
We then evaluated the feasibility and pedagogically soundness of our ideas. Since 3 out of 5 of us had written something related to study notes, we applied the starter Yes, and… to build up on each other’s ideas:
After that, Kuang Wen introduced this to the SAMR framework that is apparently commonly used in the tech world:
He prodded us to think deeper and at the transformational level. After all, something like study notes is a function that can be adequately fulfilled by other platforms as well. But what is NotebookLM’s USP, really?
Don’t worry, he didn’t keep us hanging for long. He proceeded to give two suggestions, both of which had been penned down on my Post-It notes.
He suggested that NotebookLM could 1) facilitate interdisciplinary learning because we could input articles that dissect a topic from different perspectives, and 2) help us compare Asian vs Western points of views.
Before long, the workshop was coming to an end. I thought Kuang Wen provided me with an additional angle with which to tackle things. Can a tool enable me to try out new solutions? That tweak in my thinking process might provoke a tsunamic shift in my work outcomes. Who knows what the future might bring?
I hope that my reporting was clear and coherent for you!
Thanks for this awesome report.
Brainstorming sessions - if you have a good group - can be really awesome and trigger you into whole new ways of thinking (just like interacting on low-slop online places like SN or Github can if you can keep an open mind and are willing to pick your battles.)
I noticed a thing on the padlet. It says for your first interaction: "Think about one topic that you would like to learn about". However, that is not how one judges the usability of cognitive solutions. Instead, think about the topic you are most confident about your own knowledge on.
Here's how I tested NotebookLLM back in the day: I fed it a pdf that I authored myself on a controversial topic, and then watched what it made of it and queried it. It was very scary scary to see that it seemingly blended outside popular beliefs into my super awesome non-biased paper that didn't mention some of the statements the "podcast" made and how some of my assertions were transformed into a slippery slope of what people have written on the interwebs. This is why I personally have avoided it since.
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I don’t know if me saying this will make you shake your head in disdain, but all public teachers in Singapore can use their official email address to register an account with NotebookLM. I assume doing so yields me more privileges than registering with my throwaway personal email. As such, the thought of verifying the credibility/inherent biases never crossed my mind. Neither will it cross my colleagues’ minds I reckon haha
What was that controversial topic that forced NotebookLM to tip its hand?
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the thought of verifying the credibility/inherent biases never crossed my mind
I think most people do not verify, but "trust". When you're working as a developer on Bitcoin systems, or of any critical codebase really, red teaming something to oblivion is the default mode. Think SavageLinus(tm) shouting on the kernel mailing list: "WE DO NOT BREAK USERSPACE!" Which in normie talk means: don't eff up.
Now, if you shouldn't eff up, it means you must view every change from the perspective of the enemy (this is what red teaming is) and if you're changing your cognitive tooling by introducing something like NotebookLLM, this is super important: the tool is there to help improve your output. Worse quality cognition is not a good outcome.
What was that controversial topic that forced NotebookLM to tip its hand?
In this case it was about a particular Bitcoin soft fork I wrote a piece on in the past. So it had information (and emotional context!) that was more recent than my piece and it came back in both the "podcast" and when querying. So this felt like contamination from the training data to me and thus I wrote it off.
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Nice writeup!
What ideas did you and your colleagues leave the room most excited to implement?
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I joined the workshop by myself, so I’m not sure what the other participants were inspired by.
Since I’m gonna be a primary school teacher, I want to explore something that carries different meanings in different subjects. For example, in Science, a force is a push or a pull, whereas in English, we usually use the word to denote someone being coerced to do something. I will update you haha
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Don't forget, in Star Wars the force is also a kind of magic
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124 sats \ 1 reply \ @Scoresby 23h
When you create podcasts, are you able to assign roles to multiple characters or speakers, so it is more conversational? I've definitely heard a few like this lately.
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Only two characters - typically one male and one female.
They really sound like radio DJs, upbeat, uplifting, great energy.
I am usually so dismayed by the length of the podcast I get that I don’t bother to explore it further. So I have never assigned a particular persona to the characters. I will let you know if I ever do so
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