Creating content... does it make sense anymore?
05/08/25 11:12
We're working away on ten modules about AI and Project Management. They're for PMI certified practitioners looking for some AI information along with PDUs… this all makes sense… or, at least it did. Does it still? Often I'll create some content, hopefully well researched and thought out. The goal is usually to offer the user some actionable advice or a word to the wise. But increasingly I wonder if the user could simply ask their AI a few good questions and get answers that are good enough? This is 1. Rather interesting, and 2. A tad disturbing if you're in the business of selling content. How does one stay ahead?
AI progress
22/07/25 09:39
There's an old quote I recall - "never say something is impossible, you'll just piss off the people already doing it."
Remember the good old days (early July of this year) when it was commonly acknowledged that AI wasn't particularly good at math? Well, Google DeepMind just received gold level marks at the International Mathematical Olympiad. What's really interesting about this accomplishment is that the AI did NOT require that the problem to be solved was first translated into a programming language - it was all done using natural language… this is HUGE I think. And, clearly the AI is demonstrating high level reasoning and abstract thinking (should that be in quotes?) as well.
To go back to the quote; it seems increasingly fraught to argue that AI can't do something "human"… maybe not now but by next week? Perhaps. All swords are double sided… this sword is particularly sharp I think.
Remember the good old days (early July of this year) when it was commonly acknowledged that AI wasn't particularly good at math? Well, Google DeepMind just received gold level marks at the International Mathematical Olympiad. What's really interesting about this accomplishment is that the AI did NOT require that the problem to be solved was first translated into a programming language - it was all done using natural language… this is HUGE I think. And, clearly the AI is demonstrating high level reasoning and abstract thinking (should that be in quotes?) as well.
To go back to the quote; it seems increasingly fraught to argue that AI can't do something "human"… maybe not now but by next week? Perhaps. All swords are double sided… this sword is particularly sharp I think.
Decisions and rabbit holes
14/07/25 10:31
So, we're working on a new module about project management and AI. The goal of this particular module is to introduce project managers to the different use cases for AI: what CAN be done, what SHOULD be done, and where do you start? Seems straightforward enough but it is so easy to get caught up in the trap of always being current… keeping current in AI is like drinking from a firehose. And, if you ask ten people, or ten AIs for their recommendations you get a dozen answers it seems. Finding the "perfect" answer more and more feels like a rabbit hole. The trick seems to be making an informed decision and then taking action. I don't work for Nike but maybe they're right - Just Do It!
Don't always agree with me!
09/07/25 10:23
Why is my AI telling me what I want to hear?
I was chatting (odd choice of words I know but that's what it felt like) with "my" AI about music and it recommended two composers to me… oddly, two composers that I already listen to and my AI knew that because of an earlier interaction. I asked it if it was recommending those composers because it thought they were aligned with my interests and tastes OR because it knew I already listened to them… it was the latter. Which is disturbing to me - I DON'T want an AI telling me what it thinks I want to hear; that's worse than telling me nothing at all. I did a bit of digging and as you might have guessed there is a very active conversation going on about this issue. It's complicated I know… but if we keep getting pushed towards what the machine thinks we'd like, then how to we get exposed to new material? How do we start to think we might in fact be wrong about something?
I was chatting (odd choice of words I know but that's what it felt like) with "my" AI about music and it recommended two composers to me… oddly, two composers that I already listen to and my AI knew that because of an earlier interaction. I asked it if it was recommending those composers because it thought they were aligned with my interests and tastes OR because it knew I already listened to them… it was the latter. Which is disturbing to me - I DON'T want an AI telling me what it thinks I want to hear; that's worse than telling me nothing at all. I did a bit of digging and as you might have guessed there is a very active conversation going on about this issue. It's complicated I know… but if we keep getting pushed towards what the machine thinks we'd like, then how to we get exposed to new material? How do we start to think we might in fact be wrong about something?
Back from a VERY long bike ride..
11/06/25 10:11
So, 2,200 km later I'm back and pondering AI - after a month away, things are… about the same. New versions of course, lots of hype of course and many business articles about the gazillions being spent. So, as I said, about the same. But things are progressing underneath the popular stories. Structure is being developed, for example, in academia. Schools are releasing guidelines about AI use, lots of chat about assessments and how to adjust to this new world and an overall acknowledgment that AI must be dealt with now… or at least now'ish. And perhaps this is more important than whether or not release X.2 is dramatically different than X.1. In the PM world there's increasingly an acceptance that AI is a tool unlike any other and to not use it is to court sub par performance. It appears that amongst many PM practitioners AI use is becoming the norm and not the exception.