@FatDrunkyStupid @mango_deuce @doinkpatrol Zverev is much much more talented than Ferrer, but due to sheer incompetency and choke artistry, he’s the same level
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David Kwon
1.1K posts
@dkwon98 @mango_deuce @doinkpatrol He put up zero competition against the big 3 but still wasn't any worse than zverev
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world no.5 ranked player planning their wedding for the day of the wimbledon final... the ATP is absolutely cooked
The Tennis Letter@TheTennisLetter
Alex de Minaur and Katie Boulter got married yesterday in Leicestershire, England. Big congratulations to the happy couple. 💍❤💍
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@doinkpatrol This is one of the worst top 10s I’ve ever seen now that Carlos is injured. De minaur, Shelton, washed Meddy, cobolli, Fritz, bublik
Compare that to what it used to look like
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Introducing Parallel Search Turbo: the fastest and most affordable way to bring the web to your AI.
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Excited for Deeptune and Mercor to join forces. Data is AI’s major bottlenecks, and both teams are trailblazers in the space: Mercor for its extensive expert network and Deeptune for their industry leading RL environments. They’ll go faster and further together
Working with Tim and the Deeptune team has been a career highlight, congrats!
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@timlupo @deeptuneai @mercor_ai Congrats to the Deeptune team! We’re grateful to have invested and so impressed by the progress you all have made. Go Deeptune + Mercor!
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Excited to share that @deeptuneai is joining @mercor_ai.
When we started Deeptune, we believed RL environments would become the defining bottleneck for AI. Over the past two years, we've seen this play out even faster than we expected.
Mercor has built the world's leading expert network for AI, making it the obvious place to continue our mission. Together, we'll build the platform that powers the next generation of AI agents.
Our entire team is joining Mercor in NYC, and we'll continue building with far greater resources towards the even bigger opportunity ahead.
I'm deeply grateful to our customers, investors, and everyone who helped us get here. Most of all, thank you to the Deeptune team. None of this would have been possible without you.
We're just getting started.
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Startups @ElevenLabs had a great H1 of 2026 & we are just getting started.
- We now work with almost 300+ venture funds & service providers that can fast track their portfolio companies with us for free credits!
- Hosted almost 30+ events for founders across San Francisco, New York, London & beyond.
- Have thousands of companies across the global ideating, iterating and seeing how voice can be a core use case
Now, we're looking to expand the team and hiring someone to run Startups Partnerships based in New York and work with the top funds & startups
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@adelwu_ hamburguesa bar is great vibes & burger, would recommend
side characters is also good vibes but a bit small & drinks aren't that special compared to coffee movement, linea, or hedge
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@stevesi "it must reach centimillionaires"
> tax is set at $50m (?)
math is not mathing
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First impression on SF:
The overwhelming amount of B2b saas AI companies has destroyed me. Every billboard is selling nonsense, every company is funded, I don’t know how this lasts. This had to end right? This has to end bad. There’s no way this doesn’t collapse.
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I’ve known @neilmovva for 20 years. Turns out learning to build from first principles at FIRST Robotics takes you pretty far. He got me through AP Physics C back then, and he pushes our team everyday to break those same laws for inference. Couldn’t be prouder to be building the future with you at @sailresearchco. If you want to learn from the best in kernels, reach out!! We’re hiring
Neil Movva@neilmovva
Samir Menon @blintzbase and I are thrilled to announce Sail @sailresearchco ! We build infrastructure for long-horizon agents: inference served at unbeatable prices-per-token for open models, plus sandboxes designed to run for days, weeks, or longer. We've raised $80M, w/ our seed led by @Sequoia and series A led by @KleinerPerkins. We're using this capital to build the most efficient infrastructure for long-horizon agents. What makes agents so different? Unlike a human waiting at a keyboard (top priority: speed), agents need scale, reliability, and sustainable cost. Sail finds this efficiency everywhere in the stack: we carefully choose our chips, write custom inference engines, and run a global controller that fully utilizes every computer in our fleet. Tight integration from silicon to API lets Sail open up the cost / latency frontier to our customers - the most patient agents can now access 10x more intelligence per dollar. We're excited to be working with great companies like @parallelweb, @detaildotdev,@Jackandjillai, and @quadrillion_ai to deploy long-horizon agents with trillions of tokens. Our team is thoughtful in our engineering craft and relentlessly ambitious in our pursuit of peak performance. We previously trained at companies like NVIDIA, OpenAI, Google, and so many trading firms. Now we're ready to do the work that will define our careers, in the most compute intensive market of all time. Welcome to the era of abundant intelligence. We can't wait to build with you!
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Samir Menon @blintzbase and I are thrilled to announce Sail @sailresearchco ! We build infrastructure for long-horizon agents: inference served at unbeatable prices-per-token for open models, plus sandboxes designed to run for days, weeks, or longer.
We've raised $80M, w/ our seed led by @Sequoia
and series A led by @KleinerPerkins. We're using this capital to build the most efficient infrastructure for long-horizon agents.
What makes agents so different? Unlike a human waiting at a keyboard (top priority: speed), agents need scale, reliability, and sustainable cost. Sail finds this efficiency everywhere in the stack: we carefully choose our chips, write custom inference engines, and run a global controller that fully utilizes every computer in our fleet. Tight integration from silicon to API lets Sail open up the cost / latency frontier to our customers - the most patient agents can now access 10x more intelligence per dollar.
We're excited to be working with great companies like
@parallelweb, @detaildotdev,@Jackandjillai, and @quadrillion_ai to deploy long-horizon agents with trillions of tokens.
Our team is thoughtful in our engineering craft and relentlessly ambitious in our pursuit of peak performance. We previously trained at companies like NVIDIA, OpenAI, Google, and so many trading firms. Now we're ready to do the work that will define our careers, in the most compute intensive market of all time.
Welcome to the era of abundant intelligence. We can't wait to build with you!
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The XDOF team is a world-class team of researchers who deeply understand the problems their customers face. They are open-sourcing the largest teleop dataset and want to accelerate those in pursuit of general purpose robots. We're excited to be supporting them, congrats to the team!
Philipp Wu@philippswu
Announcing @xdofai: We’ve raised $70 million to build the core robotic infrastructure ecosystem for robot foundation models. My cofounders Fred (@YideShentu), Nemo (@itsnemojin) and I have been pursuing the dream of general purpose robots for our entire lives. After work at Covariant, Meta and Tesla, it became clear to us that general purpose robots are coming, and we are building XDOF to help make them a reality. For the last two years, we’ve been working behind the scenes to support major labs and companies deploying robots. In us, they have a partner with full-stack expertise, from hardware to operations to policy training. As our first public contribution to the space, we are open-sourcing ABC-130K, the largest open source teleoperation dataset, in collaboration with our partners from UC Berkeley, Carnegie Mellon, MIT and Amazon FAR. Thank you to our customers, partners, collaborators and investors for your trust and conviction in us. Together, we can accelerate the future of robotics!
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Let’s count the wins here
1. SpaceX gets a frontier coding lab, with the highest quantity and quality of coding data outside of Anthropic
2. Cursor is at $4b ARR and targeting 7.5b+ in EOY ARR. At $60b, that’s accretive to SpaceX’s EV/revenue multiple
3. One of Cursor’s only deficiencies was long term access to compute, which they now secure. Who knows what they’ll cook
4. Cursor was the largest customer of several inference neoclouds, meaning SpaceX slows down or handicaps competitors in the process
5. SpaceX gets Cursor level AI talent with a meaningful lockup, at a time when they face huge attrition in xAI
Win x 5
SpaceX@SpaceX
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models. For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon. We look forward to working closely with the Cursor team to advance our frontier AI capabilities
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@OosGergVer you're wrong if you think all of the attrition was intended
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@calitrav Yes, but the conversion price will be dependent on SpaceX's average share price closing to the closing date (unless I'm mistaken)
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@dkwon98 and if I'm not mistaken (which I may be) SpaceX stock just went up so much that they were able to give Cursor fewer stock shares to be worth $60 Billion than they would have if they'd bought it sooner.
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