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Next up on First Pass: A conversation with Yash Patil from Applied Compute. Customized models are coming. But how can enterprises get ready for this future? We dug in on questions like that with Yash

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Jamin Ball

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11,342 görüntüleme • 9 gün önce •via X (Twitter)

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Palak Goel9 gün önce

@ypatil125 @appliedcompute Thanks for coming on @ypatil125

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Yash Patil9 gün önce

@appliedcompute thank you @jaminball @palak_go for having me on!

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Jamin Ball9 gün önce

@appliedcompute @palak_go thanks for joining!

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Nikhil Suresh9 gün önce

@ypatil125 @appliedcompute another banger 🔥

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Simon Mo9 gün önce

@ypatil125 @appliedcompute 🔥 as usual, great one @ypatil125 @jaminball @palak_go

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Jamin Ball9 gün önce

@ypatil125 @appliedcompute @palak_go thanks!

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Steven Li9 gün önce

@ypatil125 @appliedcompute 🐐

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"A modelless company is sitting on shifting sand." Yash Patil (Yash Patil) is the founder and CEO of Applied Compute, a company that trains custom models on company data and serves them in production. His conviction: every organization has its own definition of what good looks like, and a company that doesn't own its model is one system card away from finding out what it can no longer do. (0:00) Introduction (3:50) Betting on custom AI models (12:30) Yash's early influences and first projects (19:29) Inside OpenAI during Sam Altman's firing (28:18) What Yash admires about Sam Altman (29:43) Teaching models to reason (35:39) The core insight behind Applied Compute (45:55) Why model training never ends (51:25) The culture and people of Applied Compute (1:03:48) Final meditations Thank you to the partners who make this possible Brex: The intelligent finance platform. Guru_HQ: The AI source of truth for work. Persona: Trusted identity verification for any use case.
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"A modelless company is sitting on shifting sand." Yash Patil (Yash Patil) is the founder and CEO of Applied Compute, a company that trains custom models on company data and serves them in production. His conviction: every organization has its own definition of what good looks like, and a company that doesn't own its model is one system card away from finding out what it can no longer do. (0:00) Introduction (3:50) Betting on custom AI models (12:30) Yash's early influences and first projects (19:29) Inside OpenAI during Sam Altman's firing (28:18) What Yash admires about Sam Altman (29:43) Teaching models to reason (35:39) The core insight behind Applied Compute (45:55) Why model training never ends (51:25) The culture and people of Applied Compute (1:03:48) Final meditations Thank you to the partners who make this possible Brex: The intelligent finance platform. Guru_HQ: The AI source of truth for work. Persona: Trusted identity verification for any use case.

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Today, Yash Patil (Yash Patil) is the founder of Applied Compute, a $1.3 billion AI company. Before this, he was a Stanford sophomore who dropped out to join OpenAI. It all began when he emailed Sam Altman asking for a job. Altman introduced him to the residency team. They told him he had to drop out. Yash wasn't sure he could bring his parents around. So he asked Altman directly. Altman said, "Let me chat with them.” A week later, Yash joined OpenAI.
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Today, Yash Patil (Yash Patil) is the founder of Applied Compute, a $1.3 billion AI company. Before this, he was a Stanford sophomore who dropped out to join OpenAI. It all began when he emailed Sam Altman asking for a job. Altman introduced him to the residency team. They told him he had to drop out. Yash wasn't sure he could bring his parents around. So he asked Altman directly. Altman said, "Let me chat with them.” A week later, Yash joined OpenAI.

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Yash boss hindi market is huge even after giving a disaster like Toxic people still believe in Yash. This insta channel is proper bollywood channel but comments are filled with Yash that too against Ranveer after BB Dhurandhar First comment has 11k likes #ToxicTheMovie #YashBOSS
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Yash boss hindi market is huge even after giving a disaster like Toxic people still believe in Yash. This insta channel is proper bollywood channel but comments are filled with Yash that too against Ranveer after BB Dhurandhar First comment has 11k likes #ToxicTheMovie #YashBOSS

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Dee to Angela: Devens said that those four worry him (FAP). These four socially are not great, but then Taylor/Lala/Yash are socially more, & reeling in Kamu, so that's four. With our five, we still have by association Mallory & Melody. We just have to keep Drew & Barrett happy for now. If we can maybe hit like a Yash/Taylor/Lala, preferably Taylor...you get Lala in more, I can get Yash more. Or Devens probably, cause he's a dude. #bb28
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Dee to Angela: Devens said that those four worry him (FAP). These four socially are not great, but then Taylor/Lala/Yash are socially more, & reeling in Kamu, so that's four. With our five, we still have by association Mallory & Melody. We just have to keep Drew & Barrett happy for now. If we can maybe hit like a Yash/Taylor/Lala, preferably Taylor...you get Lala in more, I can get Yash more. Or Devens probably, cause he's a dude. #bb28

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(Dee putting in work with Melody) they agree on Kamu being a threat, Melody annoyed Yash doesn't see it, Dee explains Yash is working with him #BB28 (Dee beats Yash to the punch) Dee telling Melody she offered her bribe power to Yash! Dee also explains how she'd like for them to all align(crossovers & FAP)
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When is harness optimization enough? When does post-training make sense? What will determine who becomes the new AI hyperscaler? Yash Patil, co-founder of Applied Compute, was the perfect person to discuss this and more. Yash worked on Codex at OpenAI before leaving to co-found Applied Compute with fellow OpenAI researchers Rhythm Garg and Linden Li. Sixteen months in, the company is a unicorn, and is serving enterprises including DoorDash and Cognition. We cover: 0:00 Intro 1:42 The Case for Owning Your Intelligence 4:35 OpenAI x Baseten and the Multi-Model Future 7:19 Can Post-Training Beat Frontier Models? 9:03 What Data Stays Out of Distribution 11:51 Data Efficiency and Continual Learning 14:31 When Updating Model Weights Makes Sense 16:01 Online Training in Practice 18:16 Lowering the Cost of Post-Training 19:48 Does Every Company Need Its Own Model? 24:06 RL in Non-Verifiable Domains 26:59 How Applied Compute Picks Customers 28:46 Building an Inference Business 34:43 The Case for a New AI Hyperscaler 38:21 Building RL Environments 41:33 Quickfire YouTube: Spotify: Apple:

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Barrett & Melody debrief after the veto comp & they discuss having a ceasefire with the newbies #BB28 Later that night, Melody proposes the ceasefire, final 5 to Yash, Taylor & Drew. Drew calls this ceasefire bullshit & knows Yash/Taylor will go after him. Yash also plans to get Drew out the first chance he can.
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Barrett & Melody debrief after the veto comp & they discuss having a ceasefire with the newbies #BB28 Later that night, Melody proposes the ceasefire, final 5 to Yash, Taylor & Drew. Drew calls this ceasefire bullshit & knows Yash/Taylor will go after him. Yash also plans to get Drew out the first chance he can.

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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.

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