nvahalik

I use AI on far more than I should. But there are some things that AI can't know. It doesn't know my kids. It doesn't know my spouse. It's just a tool, after all.

At my kids' school we have a ceremony where the dads give their kids a rock with a particular word on it. I spent several days trying to find the right word for my son. But when I found it... well every time I see that rock on my kid's shelf it makes me feel warm. It was 100% the right choice.

It can be really enticing to just simply offload that decision somewhere else. There is no "cost" in making the decision so you can't feel bad if it wasn't 100% right. But the feeling of thinking deeply and then hitting it on the head is a sensation that AI just replicate.

How deep are you going? What gas mixtures are you using? Which Garmin are you using? If you're using a Mk3i or a G2 (or related) you are using a diving computer in a smart watch form factor. It is custom built for this... unlike the Apple Watch Ultra.

130ft/40m is standard limit for non-tec diving.

Past that depth, you will be using diving computers and not a smartwatch. And the training you receive will help you to understand why.

Excited for jj converge - heuristics to (hopefully) automatically resolve divergence.

But that's the thing—there isn't any real automation for this. An adjuster has to physically go out to someone's property. They have to take pictures. They have to inspect things. They have to coordinate with 3rd parties if necessary (like engineers).

There isn't a whole lot of room for automation in much of this.

Underwriting on the other hand, that is a different story.

AI isn’t replacing adjusters.

Anecdotally, many of them are aging out and the demands of adjusters are increasing while the pay hasn’t necessarily gone up. While technically you don’t have to know the ins and outs of construction, it helps a lot and there are just not a lot of people who have that knowledge. And if they do, they often go into construction themselves or sell roofs. Both of which can be far more lucrative.

On top of that, claims software has a lot of automation but very little real AI surface area. A lot of the things AI is good at (text generation) must have certain verbiage or use legally approved templates.

Granted, this may not be the case for all verticals, but this is just my observation from 20 years. (Mostly in smaller IA firms and state-based institutions).

Also, my wife has pointed out that there haven’t been any major cats in the last few years. Katrina kept people working for years. A lack of big storms has also contributed to this.

A little south from you. Car said 102. Some of that depends on where you are. Parking lot, vs say, at the lake or rural areas.

How do you figure? I imagine for _most_ MCP implementations there is some level of technical overhead for having to keep a connection open. I can't imagine this would make huge differences in the token utilization.