Sabitlenmiş Tweet
Des
4.2K posts
@Goober_Des @badattrading_ son 😭✌🏽
That’s some real Soltard shit
English
THEY ARE TRAINING AI IN JUNK CORPORATE SLACK CHATS AND THINK IT IS BRILLIANT.
It’s not.
The downsides of training AI on failed companies’ old Slack chats and email archives are exactly what I’ve been warning about for years.
These liquidation firms are now selling bankrupt startups’ entire internal comms, years of Slack threads, emails, meeting notes, HR drama, memes, and casual workplace noise, to AI labs for up to $100k a pop. They call it “data assets.” I call it corporate thought digital sewage being fed into the models at scale.
This is not “high-protein” data.
This is the opposite.
Real intelligence advances come from dense, thoughtful, undigitized human knowledge, the kind I’ve spent decades rescuing from physical archives, old technical films, HyperCard stacks, and private libraries precisely because the internet already ran out of quality signal years ago.
What these failed companies left behind is low-signal corporate exhaust: groupthink, short-term survival thinking, power dynamics, and the exact patterns that caused them to fail in the first place. Feeding that into frontier models is like giving cardboard to cows and expecting better milk.
Worse, the people who wrote those messages never consented to having their words packaged up and sold as training fodder after the company collapsed.
This isn’t public Reddit posts or Wikipedia edits. These are private workplace conversations turned into tokens without meaningful permission. It treats human communication as just another disposable corporate asset to be liquidated.
That’s not innovation, that’s grave-robbing with extra steps.
We already know what happens when models are trained on this kind of shallow, noisy, context-specific slop: accelerated model collapse, structural hallucination, and agents that inherit the worst habits of dysfunctional office culture instead of first-principles reasoning.
The labs chasing “agentic” capabilities think this workplace simulation data will help. It won’t. It will just make the models better at mimicking the very failures that killed these companies.
This is the lazy, end-stage data grab we’ve been heading toward. Once the easy corporate archives are scraped dry, we’ll be left with even lower-quality remnants or pure synthetic slop.
The path to genuine intelligence was never going to come from hoovering up more internet exhaust or failed startup chat logs.
It was always going to come from preserving and learning from the highest-quality human knowledge that hasn’t been polluted yet.
The problem is these AI companies don’t know how to get it, would rather talk to anyone but me, and pay $100,000 for stuff I throw away because it is so low quality.
Right now their AI being trained on corporate drama designed to own you with the digital remains of other people’s collapsed dreams.
What we choose to train on matters.
This choice is a mistake.
I know it and you know it but the the smart folk don’t want to know it.
English
hit 1 million
posted publicly at 10k
keep pushing
G2sY22MDNmHHAz8PNfEjiZiwpasQoXpD6x3DokC4pump
y@y0lloo
$HIGHER deployed 4/20 is around the corner, it's only right to run $HIGHER stream is on G2sY22MDNmHHAz8PNfEjiZiwpasQoXpD6x3DokC4pump pump.fun/G2sY22MDNmHHAz…
English
English
There is a parallel phenomenon here which is the lazy attribution of the sex gap in voting to <insert sex war issue of the moment> instead of the obvious statistical cause, which is the rising percentage of single women in the el rotate who end up extremely left-leaning.
Wilfred Reilly@wil_da_beast630
The idea that the reason modern women don't like men (65% negative view among younger women) is that men don't like women - when we can clearly see that's not true in the same data (7% negative view) - is one of the more absurd examples of straight-up refusal to take responsibility that I have ever seen. Nor is the reason "declining male feminism since we started polling in 1944." Come ON. The obvious issue is that "woke" takes on race and gender relations have been the mainstream national narrative since the 1960s. We are a society that literally teaches kids that our own founding principles are evil. Gen Z women are more likely to think that they "will never succeed, because of sexism" than Baby Boomers were. This may not be the only relevant variable, but it's just beyond damned absurd to pretend ~70 years of this had no effect.
English