@FFatson@UVAMensHoops ? This isn’t hate. As a fan of the team and college basketball I general, I’m just going to hold someone who has 5 years of professional development to a higher standard than someone fresh out of high school etc
@harryallen There’s 0 chance the next Akira will be made by someone relying on AI for the animation and storyboarding. Akira has been copied for generations because of its originality. Gen AI is a plagiarism machine that produces slop that is missing the passion required for meaningful art
@JaynitMakwana He built a chatbot that tells depressed people they should kill themselves. Why should that data get the same protections as a medical professional lmao
We must build a mass militant radical labor mvmnt, that uses the withholding of labor & shuts down parts of industries, whole industries, many industries, in order2immediately exact demands & create a mvmnt2create a world where the ppl democratically control the wealth we create
@harryallen@ryanlightbourn Harry what is your obsession with this Gen AI slop? This clip looks like poop, has no meaningful through line, and is very clearly ripping off Randy Savage for the main character. It lacks originality and rips ideas wholesale from other creators without giving them credit
@shameonyoudule@caitiedelaney Then she should not make wide sweeping statements on technology shit she doesn’t know anything about to her fans who will take it as gospel. Wildly irresponsible
This is the Monkees. They were a huge rock band in the 1960s.
They never sought the limelight.
They just wanted to sing their songs for whomever would listen.
The music was the only thing. Authentic.
Instead of listening to Geese — try the Monkees.
You'll thank me.
Everyone’s missing the real story here.
Meta’s Ray-Ban glasses need human data annotators to train the AI. When you say “Hey Meta” and ask the glasses to analyze something, that video gets sent to Meta’s servers, then routed to Sama, a subcontractor in Nairobi, Kenya. Workers there manually label objects in your footage. They see everything you recorded, intentionally or not.
7 million pairs sold in 2025 alone. Every single pair generates training data that flows through human eyes in Kenya. Workers told Swedish journalists they see people undressing, using bathrooms, having sex, and accidentally filming bank card details. One worker said “we see everything, from living rooms to naked bodies.”
Meta’s automatic face anonymization is supposed to protect people in the footage. Workers say it fails in certain lighting. Faces that should be blurred are sometimes fully visible. The person you recorded without knowing? A stranger in Nairobi can identify them.
Buried in Meta’s terms of service is one sentence doing enormous legal work: the company reserves the right to conduct “manual (human) review” of your AI interactions. That’s the legal cover for routing intimate footage from Western homes to a $2/hour labor force operating under NDAs, office surveillance cameras, and a strict no-questions policy. Workers say if you raise concerns about what you’re seeing, you’re fired.
This is the same company, Sama, that TIME exposed in 2023 for paying Kenyan workers $2/hour to label graphic content for OpenAI while being billed at $12.50/hour per worker. Workers described the experience as torture. Sama ended that contract, then pivoted to labeling Meta’s glasses footage. Same workforce. Same rates.
Meta markets these glasses as “designed with your privacy in mind.” The privacy design is a tiny LED light on the frame that most people don’t notice. The data pipeline behind it routes your bedroom footage to a contractor with a documented history of worker exploitation, failed anonymization, and union-busting lawsuits.
And the next generation of these glasses? Meta is planning to add facial recognition. The same system that can’t reliably blur faces in training data wants to start identifying them on purpose.
The LED light on the frame is doing about as much for your privacy as the terms of service nobody reads.
🦔 OpenAI is forecasted to burn $218 billion in cash from 2026 to 2029. For comparison, Uber burned $18.2 billion over six years before turning profitable, Netflix burned $11.1 billion over seven years, and Tesla burned $9.3 billion over eleven years. OpenAI plans to burn more than all three combined in less than four years.
Meanwhile AI scientists are increasingly saying the more compute equals better results approach isn't working anymore. The jump from GPT-3 to GPT-4 was huge, but GPT-4 to GPT-5 was much smaller, and improvements are hitting diminishing returns even with massive compute increases.
My Take
Uber, Netflix, and Tesla all burned billions before becoming profitable, but they were building things with clear paths to revenue like cars, rides, and subscriptions. OpenAI is burning more than all of them combined while still losing money on their $200 per month subscription tier and chasing a technology showing diminishing returns. And this level of spending is causing real constraints that affect everyone from GPU shortages to memory price increases to strained power grids, all to fund a race where Goldman Sachs says AI added basically zero to US economic growth last year.
I keep hearing about companies forcing employees to use AI in their workflows, watching colleagues use it to expand a single sentence into a long email only for the recipient to summarize it back into a single sentence. That's the productivity revolution we're spending hundreds of billions on. Nobody wants to be the one who missed out if it somehow works, but at some point you have to ask what happens when the investors stop believing the next fundraise will be the one that finally makes it all make sense.
Hedgie🤗
🚨 Most people did not pay attention, but a new form of AI idolatry is on the rise.
It proposes that AI is smarter, therefore superior to us, and that we must adore it, foster equal coexistence, and accept potentially being ruled by it.
This is a BAD idea. My full article:
@baldandboojee@THEKIDMERO Is the alternate we have no hope? What is this argument? “I see people getting excited about a political candidate and I’d rather they be sad and despondent every election” LAME