Gheto gringo sur la Go #HABS GO

[Peter Girnus 🦅 @gothburz]

I am the Vice President of Privacy for Reality Labs at Meta.

The glasses cost two hundred and ninety-nine dollars. We sold seven million pairs last year. Two million the year before that. The growth rate is three hundred and fifty percent. The tagline is "designed with your privacy in mind." The design includes a camera. The camera records everything in front of your face. The privacy includes sending the footage to Nairobi.

I need to explain what I mean by "privacy."

When you speak to Meta AI through your Ray-Ban glasses, you generate video. The video requires human review. We call it "annotation." Annotation requires annotators. The annotators work for a company called Sama. Sama is in Nairobi, Kenya. The annotators are paid approximately two dollars an hour. The glasses cost two hundred and ninety-nine dollars. One pair of glasses is a hundred and fifty hours of someone watching your life. I did not design that math. I approved it.

Two Swedish newspapers — Svenska Dagbladet and Göteborgs-Posten — found our annotators and asked what they see.

"We see everything — from living rooms to naked bodies."

"In some videos you can see someone going to the toilet, or getting undressed."

"You understand that it is someone's private life you are looking at, but at the same time you are just expected to carry out the work."

And, regarding questions: "If you start asking questions, you are gone."

We have a face anonymization system. The system is automatic. The system uses algorithms. The algorithms fail. A source said: "The algorithms sometimes miss. Especially in difficult lighting conditions." Bedrooms are difficult lighting conditions. Bathrooms are difficult lighting conditions. The places where people are naked are, by the algorithm's own logic, the places where the algorithm is least reliable. I am not editorializing. I am describing an engineering outcome.

The annotators signed extensive NDAs. There are cameras in their offices. Their phones are confiscated at the door. We surveil the people who surveil your living room. The chain of surveillance is thorough. The question of whether your living room should be surveilled is not in the chain.

Our terms of use — which I helped draft — reserve Meta's right to "review your interactions with AIs, including by automated or manual (human) means." The word "manual" means a person. The person is in Nairobi. The person is watching you undress. The person earns two dollars for the hour in which this occurs. I wrote the word "manual." It is the most efficient sentence I have ever authored.

There is no opt-out. I need to say this clearly. No mechanism exists for a user of Ray-Ban Meta glasses to prevent their footage from being seen by a human being in Kenya. We did not build one. Kenya has no data adequacy agreement with the European Union. Dialogue on adequacy began in May 2024. It has not concluded. The footage did not wait for the dialogue.

Our privacy policy explains: "Data may be transferred globally because Meta is a company that operates globally." The word "globally" means your apartment in Stockholm is annotated in Nairobi. It is the most honest word in the privacy policy. The rest is architecture.

The Swedish newspapers contacted us for comment. We did not respond. They waited two months. We did not respond. They published. We responded. Four sentences. The four sentences referred to our terms of use — the document containing the word "manual." The document is the response. The response is the document. The loop is the privacy architecture.

A lawyer at NOYB — Kleanthi Sardeli — said: "Once the material has been fed into the models, the user in practice loses control." She is correct. But the loss of control does not happen at the model. The loss of control happens when you put on the glasses. The glasses are the transfer. We sell the transfer for two hundred and ninety-nine dollars. "Designed with your privacy in mind." The mind we were thinking of was ours.

Sama previously did content moderation for Meta. They stopped in 2023 after reports of worker trauma. They now do computer vision annotation for Meta. The contract changed. The name of the work changed. The workers still see sex, nudity, bank details, people on the toilet, private conversations about crimes and protests and sexual content. The category of the labor changed. The labor did not.

Seven million pairs. Two dollars an hour. A face anonymization system that fails in the dark. The places where people are naked are dark.

I am the Vice President of Privacy.

The title is the product.

[Brian Roemmele @BrianRoemmele]

BOOM!

Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It!

In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon.

The project (https://t.co/jrk67hf9p1) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now.

Translation? Your desktop just became a hyper-efficient AI supercomputer.

The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet.

At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead.

This is world-changing.

For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs.

No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints.

Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle.

The AI revolution just moved from billion-dollar data centers to your desk.

WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner!

We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here.

The future isn’t coming. It’s already running on your Mac.

Welcome to the Zero-Human Company era.

[Dr. Simon @goddek]

🇮🇱🇨🇭 This Swiss commentator has balls of steel. While the Israeli bobsleigh team was racing, he kept reminding viewers of the war crimes the pilot has openly supported.

Absolute legend!

[Dr. Clown, PhD @DrClownPhD]

My Mom Only Sells Fans 😭

[Gheto gringo sur la Go #HABS GO @dubowski_666]

https://t.co/H5QiXTdwgO

[Gheto gringo sur la Go #HABS GO @dubowski_666]

@KimDotcom europa

[SportsStatsFan @SportsStatsFan]

Funny how LeBron fans won’t call LeBron’s first 12 seasons “plumbers” or “not skilled” era. Interesting video of guy showing how much different the game was in 2011 vs today. It basically shows how 2000’s and early 2010’s basketball is far closer to 90’s NBA than today. He points out all the non shooters in the floor, lack of spacing, etc. Even shows a clip of LeBron driving to the basket but finding no space to shoot with 3 guys around him and only a subpar shooter to pass it too.

But based on LeBron fan logic, today’s players are just far more skilled than 2004-2014 so the top players today must be better than peak LeBron.

[Psyware @Psy_ware]

This guy made a video bypassing a lock the company responds by suing him, saying he’s tampered with them.

So he orders a new one and bypasses it right out of the box.

[Sid Seixeiro @Sid_Seixeiro]

Paul Maurice was asked this morning how difficult it is to make every guy in the dressing room feel like they’re an important part of the team.

Fantastic question. Response was better.

[Mindset Machine  @mindsetmachine]

The Life Lesson Schools Never Teach You:

[SMK | NXTgenASSASSIN @NXTgenASSASS1N]

@alancreate @roman_de_fauvel @Coastal_Duo @aBESTway @DrClownPhD I got yall. He most likely used the website https://t.co/xSAvPu6CYh (or something similar) which will pull clips from movies/tv shows based on what you search. Really useful for video editing.

[Martyupnorth®- Unacceptable Fact Checker @Martyupnorth]

This CBC skit mocking CArney and Myers is actually spot on.

[OSINTtechnical @Osinttechnical]

This is possibly the most insane national security story in the last 50 years. Includes a massive text chain between senior members of the Trump admin gaming out foreign policy and war plans on Signal, and they accidentally added a reporter to the group chat.

[Global𝕏 @GlobaltrekX]

Pyramid Structure Discovery:

Here's an image created by @CoreyWilken showing just how big these structures are in comparison that have recently been discovered beneath the Pyramid of Giza.

Click on image for Full scale. Absolutely Mind blowing 🤯

[Omar Legasov @CostOfLies33]

@TheCradleMedia Many Israeli occupation military servicemen already confessed targeting their own before. And western politicians still insist on the blatant to blame Hamas on all the Israeli deaths.🔻🐝
https://t.co/GgKVRGsSLI

[Stupifff @Stupifff]

Now that the dust has settled, I wanted to share my biggest trade win, ever: $TRUMP

When @realDonaldTrump dropped the tweet, I was at lunch. I saw it on my feed about 20minutes after it came out and immediate thought was:

"LOL the scammers hacked the President's twitter, this will be entertaining."

Market cap was $3B. I went back to finishing my lunch.

As I finish eating, I refresh my Dexscreener: WHAT THE FUCK?

My entire port has nuked. I'm down multiple salaries while I finished this meal. Fight of Flight kicks in.

👇🧵

[Lyss 📈 @lysshoude]

I'm just going to make a living thread called "What the heck, Gabe Vilardi?" with some of my favourite highlights.

If you don't watch a lot of #NHLJets hockey, 1) you should, and 2), GV alone makes it worth your while. Underrated stud.

Enjoy 👇

[Mandy Stanford @MandyStanford3]

Bff 🫂

[🍂 @Lovandfear]

The 7 most famous laws in the world.