John Fitzpatrick

speaker

244 appearances 1 recordings 1 series first heard Jan 2026 last heard 13 Jan

John Fitzpatrick’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jan 2026 with 1.

Appearances

newest first · ▶ plays the moment

Lead With AI · Former Apple AI Engineer Brings Privacy-First Automation to Document Management · 13 Jan 2026 podcast

But we're willing to take that because of the privacy of our users and the data protection is so much more important.

So I think, you know, the other part of ethics on AI for me is the whole, you know, will it take all of our jobs?

And I don't think we're there yet.

I think, you know, for me, the real power of AI, and this is something I think about, which is it's not replacing humans, but it's augmenting them, right?

So that we can focus on what matters more.

And so, again, automating a lot of those laborious, time consuming tasks for our users and letting them work on those higher value tasks and amplify their productivity is what's really important.

No, we don't train on your data.

We do things like for, you know, in Smart Redaction, you know, at the moment it's not released yet, but we're adding a feature where people can add in custom dictionaries.

So just particular terms they would like removed, they will be removed.

So there's those types of customizations that a user can do themselves, but we don't take your data and train on it.

We benefit from...

And you know, there's a lot of models already out there.

So we run multiple different, um, you know, of the large language models and we just use those and run them inside our own environment.

Um, we do prompt engineering as well to, to get the most value from those models.

And then there are, there's open source datasets for, you know, a lot of this type of data and we'll, we will use that to train things like our own smaller models and classifiers and so on.

Um, but we, we.

Absolutely do not take any customer data stored or, you know, so we would have no ability to train on customer data.

It's too important.

I mean, it depends on your timeframe, I think.

I think with the rate of change, it's incredibly difficult to predict very long into the future, right?

Showing 121–140 of 244 · page 7 of 13