00:00Hello everybody there's a ton going on in the world of tech data and AI and we're going to take
00:04a look at some of those things. Probably the biggest thing that happened this week is that
00:08when you were sharing your chats within Claude with your friends or your family or your co-workers
00:12those were not private those became public. On X a ton of people were reporting on this
00:18and you can see right here this is Google if you search site Claude AI share a ton of people's
00:24messages were being indexed and yes they did fix this and patch this fairly quickly it took them
00:29less than a day to patch this and fix this which is great but the issue is is that it
00:35happened and
00:36if we know anything it's that on the internet anything that happens there stays there forever
00:40so you can't just kind of take that back. This can be seen right here because it says they deleted
00:45it
00:46but the internet didn't somebody pulled all of this and put it into a github so you can just search
00:52it
00:52and you can look up anything you want. Now some of the things that they found were things like medical
00:57records, tax documents, private company information that they were sending to employees and so this
01:03isn't like small stuff these are really personal or even private things that should never be shared
01:08you know with the public this is just meant for like a spouse or a company or something like that.
01:14Obviously this is not a very good thing to have happen you don't want any of your private stuff
01:18leaking especially as these AI companies are trying to you know earn your trust they are actively
01:23breaking trust and that's just it's not a good look right. Of course that has happened with a ton of
01:28other companies not just you know AI companies this has happened with Google and Meta and a ton of other
01:34tech companies where they accidentally or not accidentally leak your information and a ton of your private
01:40stuff gets out there. The next story for this week is layoffs. Now there's a company called monday.com
01:45and if you don't know it it's kind of like JIRA and a CRM built together in a way I
01:51guess
01:51but monday.com is really popular but they just let go about 20% of their company which is about
01:57600
01:57employees because they want to have an AI driven growth strategy. So they're basically saying we want
02:02to invest more in AI so we have to downsize because as everybody knows the people or the salaries that
02:08you know pay those people are the biggest cost to almost any company. These are not the only
02:13layoffs happening in tech right now. We have some in Microsoft, Oracle, GitLab and Google. A lot of
02:18this is just normal business turnover. This isn't anything scary or anything like that but what I will
02:23say is again we have GitLab right down here saying hey we're letting go of 14% of the staff
02:28to fund our
02:29AI infrastructure investment and handling surging traffic from AI workflows. And so as more companies
02:34are just trying to invest in AI and build up that side of their business they're like we have to
02:39let
02:39people go we just don't have the money to be able to do both. We can't build up this huge
02:44AI
02:44infrastructure at the same time we employ a bunch of people. That technically is going to be an AI
02:49related layoff even though AI isn't replacing them or replacing the work they're doing. Other
02:54employees are going to have to pick up that work. They're just saying hey we want to invest and build
02:58out our AI infrastructure more so we're letting you go. The last story that we're going to look at this
03:02week is from Robert Half. They're basically just a consulting and kind of a tech consulting company
03:07but they read a lot of articles and they kind of collect a lot of data on this stuff. But
03:12they
03:12released certifications worth pursuing in 2026 and it says right here across business intelligence
03:16and data roles holding a relevant certification can boost pay by 10 to 20%. Now here are the
03:22certifications that they actually recommend. The Google Data Analytics Professional Certificate,
03:26Microsoft Certified Power BI Data Analyst Associate, the Tableau Certified Data Analyst, AWS Certified
03:31Data Analytics, and the IIBA Certification of Business Data Analytics. Now I personally have
03:37actually taken every single one of these except for this last one. This last one I haven't taken. Now
03:43here are the ones I actually think are really relevant to getting any type of increase in your
03:47pay because that's what it's specifically talking about. I actually think only these three are good
03:52for increasing your pay at all. The reason being is that this Google one is very much an introductory
03:57one, right? You'll learn stuff. It's a good course if you're very much a beginner but it's not going to
04:03get
04:03you any type of pay raise in my opinion. And this one I looked into it myself. It looks fine.
04:08It's just
04:09not one that I personally have taken or even seen out there in the real world. Whereas these ones I've
04:15taken these, I've seen these and you actually can if your company actually uses these, these can
04:20absolutely get you a pay raise because they're saying, hey, you're investing in learning these
04:24skills, you're upskilling and you have what we need at this company. Sure, we'll give you more money.
04:29That is absolutely a real thing. That is all we have for this week. Again, that data leak for
04:33within Claude is like so simple too, right? The bug or the actual patch to fix it was apparently super
04:39easy. It was just public versus private and they accidentally made it public instead of private. It's
04:44a super easy fix. And that's the kind of stuff that they shouldn't be getting wrong. No company should
04:50be doing that but they do. And of course these mistakes happen with any company but when you have
04:55such private information and not just, you know, an email or your date of birth or something,
05:00we're talking about like private conversations, that's the kind of thing that you don't want
05:03public. Like nobody wants that stuff public. Maybe you're sharing with like a therapist or something
05:08like that and it's like you don't want anybody reading this. But like I showed you earlier, people
05:12are already putting this in GitHub and they've already got all those conversations. I saw some of the
05:17things that people were digging into it and they were looking at these conversations and some of this
05:21stuff had really personal stuff. And you don't want that to ever be public, like I said. And so
05:26some of this is like, you know, just a personal thing but some of it's also like company related
05:30things. Like people are putting a lot of things into Claude and ChadGPT and all these other AI
05:35systems that they probably shouldn't because it gets trained on that. It gets indexed and then,
05:39you know, they can give that as an output later on. So you don't want to be putting that kind
05:42of
05:42information into these AI systems anyways. A lot of these AI systems do have private features where they say,
05:48hey, we're not going to use this at all. This is completely local. I know I at least have that
05:53on
05:53my desktop version of Claude and Codex. And so you do have the ability to not even have it be
05:59able to
05:59be trained on it. Again, is that 100% bulletproof? I don't know. It is very possible with a flip
06:04of a
06:05switch just like that. Now all of that stuff is going to be in their training data and, you know,
06:09we can't do anything about it. With that being said, that is what we have for this week in tech
06:13data
06:13and AI. And I will see you next week.
