John Collison

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John Collison

John Collison

@collision

Co-founder of @stripe.

California / Ireland Beigetreten Nisan 2007
1.4K Folgt227.3K Follower
John Collison retweetet
Brian!🇮🇪
Brian!🇮🇪@Briani642·
I put the Proclaimation of the Irish Republic into the LinkedIn translator
Brian!🇮🇪 tweet mediaBrian!🇮🇪 tweet media
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John Collison
John Collison@collision·
Just sent money to a friend with @tempo. (Try it at wallet.tempo.xyz) Truly instantaneous blockchains are the most surprise-and-delight product experience since Waymo.
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Matt Huang
Matt Huang@matthuang·
Tempo Mainnet is live. Alongside it, we’re introducing the Machine Payments Protocol (@mpp) alongside Stripe (with extensions by Visa for cards and Lightspark for Bitcoin). Proud of the team for getting mainnet live so quickly, and excited to see what you build!
Tempo@tempo

Tempo Mainnet is live! Starting today, anyone can build on Tempo through our public RPC endpoints. Alongside mainnet, we’re introducing the Machine Payments Protocol, an open standard for machine payments.

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John Collison
John Collison@collision·
Prediction markets are one of the most hotly-discussed new technologies of the past few years. @mansourtarek_ and @luanalopeslara, founders of @kalshi, joined @matthuang and me in the Cheeky Pint pub. We discussed their landmark lawsuit against the CFTC, how market making works on Kalshi, and where prediction markets go from here.
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Bret Taylor
Bret Taylor@btaylor·
Had a really fun conversation with @collision about the future of software engineering and Sierra over a couple of pints
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John Collison
John Collison@collision·
.@btaylor is a Silicon Valley legend and currently runs Sierra, which helps companies deploy AI starting with customer service. I was eager to figure out with him how AI productivity will actually be realised: how organisations will roll out the changes, which roles benefit most, and how to keep up with model advances.
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John Collison
John Collison@collision·
Tomorrow on Cheeky Pint: @btaylor joins me to talk about the “fog of war” in software, building ahead of model capabilities, and why charging based on tokens is a mistake.
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John Collison
John Collison@collision·
Optimising payments is one of the highest-return activities a business can undertake. 5 million businesses (directly or via platforms) are already escaping low-revenue mode with Stripe. Recognising this fact, Stripe was just named a leader in the Forrester Wave for Merchant Payment Providers.
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John Collison
John Collison@collision·
This episode of Cheeky Pint covered a super interesting new domain for me: the technologies that have rapidly become critical for police work in the US. @glangley of @Flock_Safety describes how they are helping clear over one million cases each year, how the balance of power between criminals and police is evolving, why crime spiked during the pandemic, how police departments are using and fighting drones, and much more.
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John Collison
John Collison@collision·
Tomorrow on Cheeky Pint: @glangley from @Flock_Safety joins to talk about their license plate readers, autonomous drones, and how tech is changing the offense/defense balance of crime.
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John Collison
John Collison@collision·
Reiner Pope (@MatXComputing) just raised a $500m round led by @leopoldasch and Jane Street to build faster AI chips. I enjoyed having him on Cheeky Pint so I could ask all my questions about how chip design actually works, where the speed-up comes from, and how the industry will evolve. 00:00:15 Google’s AI revival 00:07:54 MatX 00:17:11 AI supply chain 00:21:48 Designing chips 00:37:11 TSMC 00:44:17 Token pricing 00:44:55 RL-ing chip design 00:49:26 Design to production 00:56:05 MatX culture 01:02:57 Rust 01:05:21 Cuckoo hashing 01:09:35 Unexplored model architectures
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John Collison
John Collison@collision·
Tomorrow on Cheeky Pint: @reinerpope of @MatXComputing, hot off raising $500m to build faster AI chips.
Reiner Pope@reinerpope

We’re building an LLM chip that delivers much higher throughput than any other chip while also achieving the lowest latency. We call it the MatX One. The MatX One chip is based on a splittable systolic array, which has the energy and area efficiency that large systolic arrays are famous for, while also getting high utilization on smaller matrices with flexible shapes. The chip combines the low latency of SRAM-first designs with the long-context support of HBM. These elements, plus a fresh take on numerics, deliver higher throughput on LLMs than any announced system, while simultaneously matching the latency of SRAM-first designs. Higher throughput and lower latency give you smarter and faster models for your subscription dollar. We’ve raised a $500M Series B to wrap up development and quickly scale manufacturing, with tapeout in under a year. The round was led by Jane Street, one of the most tech-savvy Wall Street firms, and Situational Awareness LP, whose founder @leopoldasch wrote the definitive memo on AGI. Participants include @sparkcapital, @danielgross and @natfriedman’s fund, @patrickc and @collision, @TriatomicCap, @HarpoonVentures, @karpathy, @dwarkesh_sp, and others. We’re also welcoming investors across the supply chain, including Marvell and Alchip. @MikeGunter_ and I started MatX because we felt that the best chip for LLMs should be designed from first principles with a deep understanding of what LLMs need and how they will evolve. We are willing to give up on small-model performance, low-volume workloads, and even ease of programming to deliver on such a chip. We’re now a 100-person team with people who think about everything from learning rate schedules, to Swing Modulo Scheduling, to guard/round/sticky bits, to blind-mated connections—all in the same building. If you’d like to help us architect, design, and deploy many generations of chips in large volume, consider joining us.

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John Collison
John Collison@collision·
The internet economy is speeding up! We just released our annual letter, detailing everything we're seeing with startup formation, agentic commerce, stablecoins, and lots more. stripe.com/annual-updates…
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