DigitalCollars

Bridging the gap between tech and factories

[DigitalCollars @DigitalCollars]

I've just made a short video about DigitalCollars https://t.co/p9tA9r65PH via @YouTube

[Figure @Figure_robot]

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 https://t.co/bIgpYuaYCj

[ghostt @ghhosttdn42]

Today I was fired from Coinbase.

During my 6 years at the company I was responsible for freezing customer accounts for no reason

[jeff.hl @chameleon_jeff]

1/ Controversial take: hard work is more important than smart work.

It's a myth that we only have a few hours of good creative work per day. Train yourself to grind long hours first. You will surprise yourself. The work naturally become higher quality, less distracted.

[Qwerty @Quanterty]

Bro the stock market is such a movie 😭

What the fuck are we still doing in crypto

We're literally missing generational ai trade after ai trade

[SalsaTekila @SalsaTekila]

@saylor @AtlasHodld Sir that’s a convict suit

[DigitalCollars @DigitalCollars]

@goodalexander @Cryptopathic Don’t think so. Far away from that. Will never ever see anything like that again

[Udi Wertheimer @udiWertheimer]

all defi protocols should implement 24 hour delays on all withdrawals

[Brandon Beylo @marketplunger1]

lol who did this.

[Big D @bigdsenpai]

This was what the fake Ledger app looked like btw - not your brain cells not your bitcoin, moron

[RunnerMU @RunnerXBT]

ATTENTION ALL RETARDS

WE HAVE SPENT LAST 6 YEARS SINCE COVID PERPETUALLY ONLINE FOR THIS UPCOMING WEEK

LOCK IN

[Oliver Prompts @oliviscusAI]

someone just open-sourced a tool that converts pdfs to markdown at 100 pages per second.

100% free. runs entirely on cpu. no expensive gpus needed.

[Christos Tzamos @ChristosTzamos]

1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers.

We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy

[Omkar @omkarships]

when you realise you’re only 1 Claude tweet away from unemployment

[pranav_👾 @pranaV__790]

@karthikponna19 More like a .md file stole the jobs 👾

[Autism Capital 🧩 @AutismCapital]

“New Claude.”

[DigitalCollars @DigitalCollars]

@thepatwalls @HubSpot Congrats Pat! Very well deserved

[Aakash Gupta @aakashgupta]

A 15-year-old girl immigrates to New Jersey from China. Doesn’t speak English. Her parents, both educated engineers back in Chengdu, are now working as cashiers and restaurant cooks. She gets a job washing dishes at a Chinese restaurant to help the family survive.

She gets into Princeton on a full scholarship. Her reaction is so disbelieving she asks two different advisors to verify the acceptance letter is real. Then her mom gets sick, so the family opens a dry cleaning shop in Parsippany. Every weekend for seven years, Fei-Fei Li leaves Princeton’s physics department to run the register, handle inspections, talk to customers, manage billing. Monday through Friday: quantum mechanics problem sets. Saturday and Sunday: sorting other people’s laundry. She later called herself the “CEO” of the dry cleaning business. She kept running it remotely through half of her PhD at Caltech.

In 2007, she proposed building an image dataset so massive her own mentor told her she’d taken the idea “way too far.” Pre-ImageNet, the entire AI field was working with datasets containing a few hundred images. She built one with 15 million. Most researchers at the time believed algorithms were the bottleneck. She bet on data when nobody else would.

By 2012, a team ran a neural network on that dataset and halved the existing error rate overnight. AlexNet on ImageNet became the moment the deep learning era started. Every computer vision product shipping today traces its lineage back to that dataset.

Fast forward to 2024. She starts World Labs. Four months in, $230 million raise, $1 billion valuation. Today, $1 billion more at roughly $5 billion.

The bet investors are making: that the woman who gave AI its eyes with 2D image recognition is about to give it spatial awareness of the 3D physical world. Her new model, Marble, generates persistent 3D environments from text or images. Unlike video generators that fake depth frame by frame, Marble creates actual geometric space where objects stay where you left them.

The investor list tells you everything. AMD and NVIDIA both wrote checks. When the two biggest competing chipmakers both fund the same startup, they’re telling you this workload is coming whether their competitor funds it or not. Autodesk put in $200 million and signed on as strategic advisor, which means they see spatial AI integrating directly into CAD and design workflows within 18 months.

From dry cleaner to ImageNet to a $5 billion spatial intelligence company. Fei-Fei Li has now placed two bets that the rest of the field thought were too early and too big. The first one created modern computer vision. The second one is trying to give machines the ability to understand physics.

If she’s right again, this is the last major unlock before embodied AI actually works.

[Dr. Eli David @DrEliDavid]

US 🇺🇲 Innovation EU 🇪🇺 Innovation

[JNS @_devJNS]

POV: Bro, last day at work, and he decides to ruin everything. 💀😭

[mrinank @MrinankSharma]

Today is my last day at Anthropic. I resigned.

Here is the letter I shared with my colleagues, explaining my decision.