Consumer AI agents need browsers to book travel, make purchases, and get real work done. Millions of agent tasks will mean millions of browser sessions.
@usekernel is building that foundational infrastructure—and we’re proud to have them in the @RefineryVC portfolio.
@MatthewChang Great! "That’s the same as my wife coming home with Bed Bath and Beyond coupons and telling me it’s her paycheck. Ummm, not the same, sweetheart."
7M+ tasks per month, ~5K DAGs, 2K+ engineers with self-service access.
That's @Lyft's production ML backbone, on Airflow, running demand forecasting, dynamic pricing, and fraud detection for their entire marketplace.
Software Engineer Julia Lu will present how they orchestrate it all at scale as part of Orchestrate Everything. One of five sessions from teams at Ramp, Mercor, Wix, Aampe, and more, running real production AI on Airflow.
Sept 16, virtual and free to join. Register now: https://t.co/yvWrb4E49H
Thanks for sharing that Dan. Very sad. Not people know that I was talking to Owen about leading ShareThis before we launched while he was at Amazon. I remember sitting with him in Palo Alto talking to him and he told me that he was going to go to FB. I pray for peace and comfort for his family.
Yankee Doodle ⭐⭐⭐⭐☆
Fun and distinctly American.
Yankee Doodle, give 'em hell,
Score another goal now!
Red and White and Royal Blue,
U-S-A! Let's go now!
We closed our Series F today at a $13B valuation.
Our inference business grew 20x in the last year. I want to explain why:
The growth comes from a shift I think is permanent: companies want to own their intelligence layer. Instead of relying exclusively on closed models, teams are post-training open models for their specific use cases. Customers like Abridge, Cursor, Decagon, Harvey, HubSpot, Lovable, Notion, OpenEvidence, and Parallel are building this way.
But post-training is still more of an art than a science. That’s why we’ve been working hands-on with customers to build specialized models that match or exceed closed models on the tasks they care about. We provide not just the weights, but also the training recipes and tooling so that they're in charge of the continual learning process.
I think more companies, both AI-natives and enterprises, will own their intelligence layer. And I’m excited to help build that future.
FULL INTERVIEW: Poetic Founder & CEO @markiewagner joins TBPN to discuss the company's $50M Series A, the "10,000 secret rules" that run businesses, and more.
2:23 - The 10,000 secret rules inside employees' heads
3:03 - Why AI needs to be at least 99.99% accurate
4:20 - Why Poetic started working with giant companies instead of smaller companies
5:27 - How Poetic extracts unwritten knowledge from experts
7:50 - Markie on the future of forward deployed engineers
9:47 - Why most enterprise AI deployments fail
12:06 - Markie's Stanford dropout origin story
Introducing Managed Auth: a standardized way for agents to log in and stay logged in across the internet.
This is a big step toward finally solving auth for agents.
It doesn’t get any more clear than this
CBS affiliated local 12 news in Cincinnati, Ohio reporting the ICE protest demanding ICE be completely abolished is paid and organized
🚨 “Organized by the Cincinnati branch of the Party for Socialism and Liberation”
The Party for Socialism and Liberation is funded by CCP connected billionaire Neville Roy Singham living in China
He is the one funding the nationwide protests for ICE
- Singham’s residence in Shanghai
- His business ties are to the CCP
- He attends CCP-related events
- He funds media outlets echoing Chinese state narratives
It’s absurd that we’re going to have universal self driving cars but somehow trains that have a single degree of freedom require not one but two operators.
Train agencies regularly run fewer trains than they have because of staffing requirements like this. Unsurprising bc this is a job no one should want. To everyone who complains about the low frequency on the T — this is why. We have the trains we don’t have the drivers.
Automate the trains, run em at 1 min frequency, build more dense transit connected housing, and everyone will benefit, including workers from the abundance of new opportunities that will emerge.
Some of the most labor-friendly places in the world already do this eg Paris. this is not rocket science.