Knowledge worker

And this idea of loops is expanding beyond just software engineering.

into all knowledge work.

Let us talk about that future of work.

How does she see our daily workflows changing with these AI tools?

ChatGPT is the chat and search mode you already know.

Codex is for developers who want a development-oriented user interface.

And WorkMode brings the power of Codex to knowledge workers.

Wait, so WorkMode is just Codex under the hood?

All of that, what I see is starting to come into the workplace and it informs more empathetic leaders because I have a contention.

We're moving from knowledge workers to what I'm calling empathy workers.

If you think of AI, the two logics AI can't figure out is the logic of emotion and the logic of relationship.

Those are naturally or uniquely human.

And you're hearing a lot more about mindfulness now.

You're hearing a lot more about emotional attunement and emotional regulation, emotional intelligence, things that have typically been in the therapeutic realm.

All of that, what I see is starting to come into the workplace and it informs more empathetic leaders because I have a contention we're moving from knowledge workers to what I'm calling empathy workers.

If you think of AI, the two logics AI can't figure out is the logic of emotion and the logic of relationship.

I think we'll see a bunch of these models kind of step up that.

Now, aside from coding, if you aren't a coder, but if you are, let's say, a general knowledge worker, you go to work, you use email, you use, uh, Slack, you use a bunch of these other plugins that you also mentioned, there are models that are specifically good for agentic tool use.

And actually, my most recent favorite is Grok four point six or Grok Bot specifically.

This was released from Elon Musk and SpaceX, I think last week, and it basically is, uh, an agent or multiple agents that spins up in a virtual machine on, like in the cloud, so you don't have to worry about it running on your laptop and hacking all your stuff.

It can learn what you do over time, and it improves.

So I think when you look at the Meta Muse Spark one point two, and you might think, "Oh, that's a Meta model.

I don't ever use Meta," these types of models are gonna become more available for general usage or knowledge work.

And I think if that's something that you're inclined to use and you don't really care about the Google Search stuff, you'll use Claude for that anyway, these are models that I'll probably look into because they are superior in many ways.

So when you think about flying, the takeoff and the landing are oftentimes the most stressful parts of the whole experience, both from a pilot's point of view, but also from a passenger point of view.

But once you are flying at altitude, guess what? Cruising is pretty simple and smooth.

And most knowledge workers are constantly taking off and landing because they are context switching all day.

Deep work, notification, admin, then a call, back to deep work, and they cycle through this multiple times throughout the day, oftentimes multiple times in an hour, you know, multiplied by every single hour that they work.

And by the time it's, like, two or three o'clock, their brains are already fried, right? This is where AI agents can handle the prep work.