Well, in that case... I'll have to host a dinner in SF for people who went to a public school for college. We're going to Chipotle. Who's in?

we will look back $200/month unlimited intelligence as fondly as the cheap uber rides of the 2010’s

Wow gives a bit of insight into the startup name, "Thinking Machines Lab." Also sounds a lot like what Elon Musk says about Neuralink and why it's necessary.

Climate change is real, and it deserves attention. But it is far from the greatest threat facing humanity—that distinction belongs to global energy poverty. If we are trusting the science: climate change is a challenge, not a catastrophe.

0/ Autonomous agents are about to become Ethereum’s biggest power users. Guest thread from kevin and lincoln.base.eth on how a long-forgotten HTTP status code, ‘402 Payment Required’ could unlock a new frontier for Ethereum: agentic commerce. 🧵

Whoa, Bytebot is trending on Github: github.com/trending?since…

Dang, Kanye could have asked every fan in the world to post a video signing runaway, then spliced them all together in one giant simultaneous video with a hundred million voices and use that as the distribution set to give away the entire supply for his coin that would be the

This makes me so happy lol

VCs, “Hardware is too capital intensive.”

Compared to the Gen 1 Direct to Cell, Gen 2 will be: 20x the throughput to the user 100x the overall system throughput

translating everyone into jamaican patois

🐐 performance in those conditions?! 400/400h are some of the hardest races. The tunnel vision and heavy legs at the end are brutal. Also she doesn’t even look tired compared to the other racers lol incredible.

On the new Amtrak “next gen” train: 1. Expensive 2. Late 3. New seats uncomfortable and feel smaller 4. USB Type A plugs that weren’t working (everyone is on to Type C) 5. Not significantly faster 6. Internet not working (seriously why use 5g and not Starlink at this point?!)

100% agree

Kool-Aid is a top 5 all time Key and Peele first name. Great INT

Tech for mars…

Behind the meter energy and tokenization of data centers are real solution that solve this… #rbc

Clustering NVIDIA DGX Spark + M3 Ultra Mac Studio for 4x faster LLM inference. DGX Spark: 128GB @ 273GB/s, 100 TFLOPS (fp16), $3,999 M3 Ultra: 256GB @ 819GB/s, 26 TFLOPS (fp16), $5,599 The DGX Spark has 3x less memory bandwidth than the M3 Ultra but 4x more FLOPS. By running

I feel a bit out of place here at the World Bank and International Monetary Fund Annual Meetings. On one hand, I just spent nine months building a media machine from scratch — coding alone at night, debugging endlessly until every API and route finally worked. On the other hand,