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we're making
@blocks
smaller today. here's my note to the company.
####
today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone.
first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay.
we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.
i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures.
a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers.
we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold.
to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward.
to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow.
jack
An AI system’s little oopsie, and a police department’s staggering incompetence, landed an innocent grandma in jail.
Harrowing reporting by North Dakota radio station WDAY details how the 50-year-old Angela Lipps spent nearly six months in the clink after Fargo cops using an AI facial recognition tool flagged her as a suspect in a bank fraud case in the state.
The mother of three — and grandmother of five — says she’s lived her entire life in north-central Tennessee, roughly a thousand miles away from where the crimes she was accused of committing took place. US marshals showed up at her doorstep last July while she was babysitting four kids and arrested her at gunpoint.
First, Lipps was booked in a Tennessee county jail as a fugitive from justice from North Dakota. And because she was considered a fugitive, she was held without bail and sat in the jail for nearly four initial months. Lipps received a court-appointed lawyer for the extradition process, WDAY reported, and was told she’d have to travel to North Dakota to fight the charges.
“I’ve never been to North Dakota, I don’t know anyone from North Dakota,” Lipps told the station.
According to Fargo police department files obtained by WDAY, the error arose from surveillance footage detectives viewed while investigating bank fraud cases in April and May 2025. The footage shows a woman using a fake US Army military ID to withdraw tens of thousands of dollars.
To generate leads, the detectives turned to AI facial recognition software, which identified Lipps as the person in the video.
The cops seemingly did little to verify the AI’s lead. Court documents showed that a detective agreed that the suspect’s facial features, body type, and hair were a match to Lipps. But Lipps said that no one from the Fargo police department ever called to question her.
Adding insult to injury, the Fargo police didn’t pick up Lipps from her Tennessee jail until 108 days after her arrest, after which she was flown to North Dakota to make a court appearance. The first time they interviewed her was in December, when she was being held in the North Dakota lock-up, after she had spent more than five months behind bars.
“If the only thing you have is facial recognition, I might want to dig a little deeper,” Jay Greenwood, a lawyer representing Lipps in North Dakota, told WDAY.
Greenwood produced bank records showing that Lipps was more than 1,200 miles away in Tennessee at the time that investigators say the bank fraud was perpetrated. With Greenwood having essentially done their jobs for them, the police released her from jail on Christmas Eve, and dropped the case.
But Lipps says that the police didn’t even offer to pay for her trip home, and with no money to her name, she was stranded in Fargo. Sympathetic local defense attorneys pooled together money to pay for a hotel room, and a local nonprofit called the F5 Project arranged her trip back to Tennessee.
“I had my summer clothes on, no coat, it was so cold outside, snow on the ground, scared, I wanted out but I didn’t know what I was going to do, how I was going to get home,” Lipps said.
Lipps says she lost her home, her car, and her dog as a result of her stint in jail. No one from the Fargo police department has apologized for the disastrous mix-up, she said.
This isn’t the only criminal case of mistake identity caused by AI tools. In April last year, the New York Police Department arrested a man named Trevis Williams based on a facial recognition match from grainy CCTV footage — despite Williams being over half a foot taller than the suspect in the video. That February, a woman in Detroit sued the city’s police department, alleging that it arrested her after a facial recognition tool identified her as a murder suspect, despite similarly blatant discrepancies in her physical appearance.
Even getting arrested nowGood to see that robots are becoming more human every day....
Definitely stealing this for the next story of someone going postal after falling in love with an LLM