Applied Compute
@appliedcompute
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We build Specific Intelligence for enterprises.
San Francisco
Joined July 2012
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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RL is a powerful mechanism for training company-specific models on their unique work and data. This is what we do at Applied Compute. A key challenge is how to make RL efficient, because we need runs to be fast (delivered in days), cheap (scalable unit economics), and predictable
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Life update: I left Scale and joined Applied Compute a couple weeks ago. It's been fun👨🍳
$12.8M annualized 6 months after incorporation
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btw if you wanna see what RLaaS taken seriously looks like, you should check out yesterday's @aidotengineer keynote from Yash's cofounders @rhythmrg and @lindensli was proud to host their first talk since coming out of stealth 3 weeks ago
$12.8M annualized 6 months after incorporation
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I joined @benchmark to work deeply with the most extraordinary entrepreneurs, those with the rare curiosity, conviction, and execution to will the future into existence. @ypatil125 @rhythmrg @lindensli embody this completely. We @benchmark are thrilled to have led
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Thank you for your support, Moritz – it is awesome working with you!
Congrats on the launch! Collaborating with @applied_compute over the past few months has been incredible. Building agents that perform at the top of their class takes deep expertise – not just in RL, but also in the domains you’re solving for. Exciting to see @ypatil125 @rhythmrg
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It has been awesome working with @BrendanFoody and the rest of the Mercor team. Thank you for your partnership!
It's been extraordinary to work with Applied Compute and I couldn't be more bullish on the future of custom agents 🚀
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Thanks for all your support and partnership, Walden!
Amazing to see friends go from killing it at OpenAI to killing it at Applied Compute. Our collab with @ypatil125 @rhythmrg @lindensli on model specialization here at Cognition has been nothing short of great
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Thank you for your partnership, Silas! It has been awesome working with you and the rest of the Cognition team.
It's been great to work with @ypatil125 @rhythmrg @lindensli from @appliedcompute. Specialized models are going to be big for application-layer companies and excited for what we will build together!
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Introducing @appliedcompute. We build Specific Intelligence, to create the first generation of agent workforces. It’s been an incredible six months since @ypatil125, @rhythmrg, and I left OpenAI to work on this problem together. We’ve brought together an insanely talent-dense
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Excited to share what @ypatil125, @lindensli, and I have been up to since OpenAI: @appliedcompute Companies like @cognition, @DoorDash, and @mercor_ai have already captured the initial gains from generalist models. They’re now pulling ahead with Specific Intelligence: custom
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Excited to continue our partnership with the Cognition team!
Has been great working with Yash, Linden, Rhythm, and the whole @appliedcompute team! Specialized tasks require specialized models - excited to keep pushing the envelope together.
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Proud to announce that I'm now building @appliedcompute, which just came out of stealth today. At Watershed, I experienced firsthand the chasm between frontier LLM intelligence and measurable business value. There's no denying that models are smart, but smart isn't enough. I
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Ready to ship
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Awesome to partner with the Cognition team on advancing the frontier of software engineering!
It's been great working with @appliedcompute! The narrower the ML problem, the higher the value of specialized models. Congrats to the team on the launch.
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The ac team is building something special
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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What @ypatil125, @rhythmrg, and @lindensli are building at Applied Compute is exceptional. “Specific Intelligence” - applying deep technical expertise to build in-house agents that transform how companies operate. Let’s do this! @appliedcompute
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Time to build.
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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Today, @rhythmrg, @lindensli and I are introducing @appliedcompute. We’re building Specific Intelligence for the enterprise. Achieving SOTA today means specialization in both human and machine talent. We’ve spent the last six months working with companies like @cognition,
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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@appliedcompute is one of the highest talent density teams (founding team behind codex, o1, and frontier training infra at OpenAI) we have met at Lux. Models today may have the base IQ but lack the specific intelligence to become productive enterprise workers and that is exactly
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's
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