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19 results for “ai proofing”
“This app helps teachers AI-proof their assessments using learning theory”
So in our app that we made for the She Builds, appathon, it it was called, let's get real. And part of that app, what it does is it helps teachers to AI proof their, their assessments. And my hope is
6:12 / 6:35
tactical advice6:12 – 6:35
“Two things that make SaaS companies AI-proof in the automation wave”
so to speak. What would you advise me? Like, things are built for humans. Like, otherwise, what's the point? Right? Even in even SaaS tools are built for humans. So for me, I think my question is, li
45:39 / 46:18
framework45:39 – 46:18
tracking when you open them, building a profile you never agreed to. Most people didn't choose this system. They inherited it. ProtonMail changes that default. End to end encryption so only you and your recipient can read your messages, not advertise
28:29 / 29:39
from transcript28:29 – 29:39
And yet, most email services were built to extract that data, not protect it. Scanning your messages, tracking when you open them, building a profile you never agreed to. Most people didn't choose this system. They inherited it. ProtonMail changes th
29:55 / 30:58
from transcript29:55 – 30:58
And that belief is exactly what drove the scientists at CERN to build proton mail. Here's something I find remarkable. Your last 100 emails are more unique than your fingerprint. Think about that. Your inbox holds your bank, your work, your travel, y
36:42 / 37:52
from transcript36:42 – 37:52
And yet, most email services were built to extract that data, not protect it. Scanning your messages, tracking when you open them, building a profile you never agreed to. Most people didn't choose this system. They inherited it. ProtonMail changes th
24:42 / 25:44
from transcript24:42 – 25:44
not protect it. Scanning your messages, tracking when you open them, building a profile you never agreed to. Most people didn't choose this system. They inherited it. ProtonMail changes that default. End to end encryption so only you and your recipie
20:58 / 22:11
from transcript20:58 – 22:11
Your last 100 emails are more unique than your fingerprint. Think about that. Your inbox holds your bank, your work, your travel, your identity. And yet, most email services were built to extract that data, not protect it. Scanning your messages, tra
21:40 / 22:51
from transcript21:40 – 22:51
Your last 100 emails are more unique than your fingerprint. Think about that. Your inbox holds your bank, your work, your travel, your identity. And yet, most email services were built to extract that data, not protect it. Scanning your messages, tra
18:41 / 19:53
from transcript18:41 – 19:53
Scanning your messages, tracking when you open them, building a profile you never agreed to. Most people didn't choose this system. They inherited it. ProtonMail changes that default. End to end encryption so only you and your recipient can read your
20:10 / 21:17
from transcript20:10 – 21:17
or like they like like the UGC, very much like you mentioned, that's what they model after. And so I think the way that I think about it these days for marketers, I love to hear how you said this reason and how you reinvent yourself. But the way that
11:15 / 12:21
from transcript11:15 – 12:21
with the transformation of knowledge. So how do you learn a new thing and how hard that is? A friend of mine said, we they invested in accounting. It's doing the same thing for customer service and accounting. I'm a CPA by training. They said, what d
22:11 / 23:32
from transcript22:11 – 23:32
where maybe they shouldn't have used it to train models, for example? Yeah. They should all get sued. How do you think that'll play out? We sent a bad letter to Sam, stop using the UFC and the WWE and saw. They're gonna have to pay, I think, unless t
16:25 / 17:31
from transcript16:25 – 17:31
If Sydney sends me a mail about something that she cares about, I know that it is important. I'm gonna read it. I'm gonna trust it. So I have trust there. Okay. But then the rest is influencing the AI agent. It's influencing chat GPT. Alright? If I c
11:55 / 13:02
from transcript11:55 – 13:02
And then there's this very, very unique business model that is very hard to replicate called Costco because, normally, it doesn't work because it's like, hey. Just trust me because I'm the best. Well, you have to have, like, many, many decades of tru
32:04 / 33:16
from transcript32:04 – 33:16
Like, they're trying to make no money on that because they make money on the membership. So they probably could expand it quite a bit. But, yes, it it's it's hard. There there's some modernization that they could probably do because it still has this
32:45 / 34:15
from transcript32:45 – 34:15
at home, and I can obviously ask ChargePT, can you show me the thinking? And obviously, it will show me all of the thinking and probably will be correct, in most cases. How do you even, you know, prevent or check if students, like, have that skill at
5:55 / 6:59
from transcript5:55 – 6:59
The things that humans do still so so where the AI really struggles right now, is knowing when it's made a wrong turn. And you can say, oh, I'm gonna solve this problem. I'm gonna split up this one into, into these two cases. I'm gonna try this techn
1:58:22 / 1:59:30
from transcript1:58:22 – 1:59:30
Patrick O'Shaughnessy is the CEO of Positive Sum. All opinions expressed by Patrick and podcast guests are solely their own opinions and do not reflect the opinion of Positive Sum. This podcast is for informational purposes only and should not be rel
2:16 / 3:20
from transcript2:16 – 3:20
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