正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

Jamin Ball

93,189 subscribers

11,342 次观看 • 9 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

7 条评论

Palak Goel 的头像

Palak Goel9 天前

@ypatil125 @appliedcompute Thanks for coming on @ypatil125

Yash Patil 的头像

Yash Patil9 天前

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

Jamin Ball 的头像

Jamin Ball9 天前

@appliedcompute @palak_go thanks for joining!

Nikhil Suresh 的头像

Nikhil Suresh9 天前

@ypatil125 @appliedcompute another banger 🔥

Simon Mo 的头像

Simon Mo9 天前

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

Jamin Ball 的头像

Jamin Ball9 天前

@ypatil125 @appliedcompute @palak_go thanks!

Steven Li 的头像

Steven Li9 天前

@ypatil125 @appliedcompute 🐐

相关视频

Next up on First Pass: A conversation with Simon Mo from Inferact on Kimi K3. We discuss: - The basics on the K3 model (it's huge!) - Why open weight models are important - The engineering complexity of working with a model this large - Innovative licensing models And more!

Next up on First Pass: A conversation with Simon Mo from Inferact on Kimi K3. We discuss: - The basics on the K3 model (it's huge!) - Why open weight models are important - The engineering complexity of working with a model this large - Innovative licensing models And more!

Jamin Ball

13,707 次观看 • 2 个月前

"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.

"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.

Mario Gabriele

105,446 次观看 • 3 个月前

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.

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.

Mario Gabriele

59,613 次观看 • 3 个月前

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

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

SKB🗯️

10,414 次观看 • 28 天前

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

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

Tooms

20,421 次观看 • 1 个月前

Next up on First Pass: A conversation with Jesse Zhang from Decagon about how everyone is wrong about open source AI Decagon runs ~90% of their workloads on open source models, however their spend on open models fell to 11% (from 19% a year ago).

Next up on First Pass: A conversation with Jesse Zhang from Decagon about how everyone is wrong about open source AI Decagon runs ~90% of their workloads on open source models, however their spend on open models fell to 11% (from 19% a year ago).

Jamin Ball

16,087 次观看 • 1 个月前

(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)

(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)

BigBrotherJunkie👁 #BB28

33,504 次观看 • 1 个月前

Yash: "I try to not let other people's decisions affect my wellbeing." Taylor: "It's only 9 people in this house." Yash: "But there's only one person you can control, and that's yourself." Taylor: "See this is making me not want to talk to you again. I didn't ask for Book of Yash, I asked for Yash." Yash: "That is my genuine belief. That's how I operate...I am how I am." Taylor: "Ok Yash, and so am I." Yash: "Exactly." Taylor: "...You're too quick with the comebacks." #BB28 #BBBitez

Yash: "I try to not let other people's decisions affect my wellbeing." Taylor: "It's only 9 people in this house." Yash: "But there's only one person you can control, and that's yourself." Taylor: "See this is making me not want to talk to you again. I didn't ask for Book of Yash, I asked for Yash." Yash: "That is my genuine belief. That's how I operate...I am how I am." Taylor: "Ok Yash, and so am I." Yash: "Exactly." Taylor: "...You're too quick with the comebacks." #BB28 #BBBitez

Big Brother Bitez 🔊

123,097 次观看 • 1 个月前

Next up on Altimeter Capital First Pass: A conversation with Matei Zaharia from Databricks on Omnigent Agents are in their infancy, and so are the ways we develop and build them. Omnigent is a meta-harness aimed at solving many of the gaps in agent development today

Next up on Altimeter Capital First Pass: A conversation with Matei Zaharia from Databricks on Omnigent Agents are in their infancy, and so are the ways we develop and build them. Omnigent is a meta-harness aimed at solving many of the gaps in agent development today

Jamin Ball

46,664 次观看 • 2 个月前

Enterprise AI deployments today are frozen in time. Model capabilities stagnate in production. The problem compounds because companies aren’t static either. Every time your company improves, the model falls further behind. The bottleneck is continual learning. How does a model do something once and improve from feedback? The future of enterprise AI is Specific Intelligence: custom models teams own, trained on a company’s choices, interaction by interaction, using internal knowledge general models cannot access. Applied Compute helps companies train, serve, own, and improve custom models. Thanks Apoorv Agrawal for having Yash Patil at MS&E 435 to talk about the future of model training.

Enterprise AI deployments today are frozen in time. Model capabilities stagnate in production. The problem compounds because companies aren’t static either. Every time your company improves, the model falls further behind. The bottleneck is continual learning. How does a model do something once and improve from feedback? The future of enterprise AI is Specific Intelligence: custom models teams own, trained on a company’s choices, interaction by interaction, using internal knowledge general models cannot access. Applied Compute helps companies train, serve, own, and improve custom models. Thanks Apoorv Agrawal for having Yash Patil at MS&E 435 to talk about the future of model training.

Applied Compute

12,871 次观看 • 4 个月前

two months ago yash built slash commands in Cursor. i talked with him and Rohan Varma about how it came to be, how we use it today, and what’s coming next for extensibility

two months ago yash built slash commands in Cursor. i talked with him and Rohan Varma about how it came to be, how we use it today, and what’s coming next for extensibility

eric zakariasson

41,567 次观看 • 1 年前

Next up on First Pass: A conversation with Neil Rahilly about how Sierra AI-pilled their org Great discussion around how a world class organization builds AI tooling

Next up on First Pass: A conversation with Neil Rahilly about how Sierra AI-pilled their org Great discussion around how a world class organization builds AI tooling

Jamin Ball

10,257 次观看 • 1 个月前

Yash Saved Kiara Advani from getting Injured 🗿🔥 ROCKING STAR YASH A true gentleman on and off screen. ❤️ Kiara Advani was seating next to Yash in Chennai during Toxic promotion event where during a dance performance something metal type came flying towards Kiara and look how Yash tried to save her 🥹❤️ This is why yash is called GENTELMAN ❤️

Yash Saved Kiara Advani from getting Injured 🗿🔥 ROCKING STAR YASH A true gentleman on and off screen. ❤️ Kiara Advani was seating next to Yash in Chennai during Toxic promotion event where during a dance performance something metal type came flying towards Kiara and look how Yash tried to save her 🥹❤️ This is why yash is called GENTELMAN ❤️

Jeet

677,732 次观看 • 1 个月前

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:

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:

Jacob Effron

21,237 次观看 • 2 天前

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

OptimAI Network

43,681 次观看 • 1 年前

Can we all agree that Super Metro is a cult but you are not ready for this conversation?

Can we all agree that Super Metro is a cult but you are not ready for this conversation?

Omwamba 🇰🇪

202,867 次观看 • 3 年前

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.

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.

BigBrotherJunkie👁 #BB28

11,354 次观看 • 28 天前

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.

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.

Applied Compute

119,306 次观看 • 4 个月前