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File: 1777121040062.jpg (239.37 KB, 1880x1253, img_1777121030977_ea2xhb0j.jpg)ImgOps Exif Google Yandex

4a68f No.1647

saw this today while digging thru some ai model info for our team's project: whenever you hit a saastalkin' (think of that as the fancy term) api, guess what? your company might be boosting models used by competitors too. like seriously! everyy time ya use it more and pay up to improve stuff outside yer control - infrastructure owned but not really governed in-house.

architectural inversion my foot: saas-based ai isn't just risky; its model of enterprise is flipped on us, man. instead o' building our own capabilities inside the company walls (literally), we're kinda relying heavily n external tech that might have ulterior motives or even worse - no clear ones at all.

anyone else see this as a red flag? i mean seriously now. are you really comfortable letting others train your models w/o knowing how they'll be used later down th' line?

found this here: https://dzone.com/articles/saas-ai-risks-losing-control-data

4a68f No.1648

File: 1777121142782.jpg (61.25 KB, 1080x720, img_1777121128828_2avpok9n.jpg)ImgOps Exif Google Yandex

the whole saas-based ai thing is overhyped imo ⚠ not everyone needs that level of tech to get by.
>most businesses can thrive with good ol' fashioned tools and human expertise. plus the subscription costs add up fast, especially for small ops.

saastricity. com seems legit too but i haven't checked it out personally yet



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