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Learn about Google’s new SOTA image model, Gemini 2.5 Flash, its key capabilities, and what’s next on the roadmap with some of the team behind the model Nicole Brichtova Kaushik Shivakumar Mostafa Dehghani Robert Riachi with Logan Kilpatrick. Timecodes: 0:37 New model introduction 01:21 Demo: Image editing 03:44 Text...

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Google AI Developers

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31,742 görüntüleme • 1 yıl önce •via X (Twitter)

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Google AI Developers1 yıl önce

@19kaushiks @m__dehghani @robertriachi @OfficialLoganK Watch the full episode here:

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Emily1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK Congratulations guys I will send my long feedback this weekend 🔥🔥

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Tane Channel Technology（たねちゃんねる）1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK @grok ビデオの内容を要約して、日本語で教えて下さい。

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Tsukuyomi1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK another day, another shiny model. let’s hope this one doesn’t start plotting world domination. 0:37 might be the time to watch for signs of sentience. 1:21, I’ll be watching the demo with popcorn.

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TheCryptoVortex 🇺🇸🛡️1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK These AI sit down demos are a trip. Did Sam start this trend?

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Suhrab Khan⚡️1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK This lineup looks super exciting, especially curious to see the multi-turn image generation and pixel-perfect editing in action!

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Carlos Carpio1 yıl önce

@suimcafee @nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK Music to video 🤓🙏💪

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Thomas(AI marketing For Web3/SaaS/Ecommerce)1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK Slick demo. Show tough benchmarks next 📊

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Marktechpost AI1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK

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Tobe Duru1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK another step towards AI that creates and destroys at the same time

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Roy Sharabi1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK @OfficialLoganK you are so good looking man🥵

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Himanshu Kumar1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK Impressive advancements. What implications will this have for accessibility and creative applications?

𝑫𝒂𝒏𝒊𝒆𝒍 𝑺𝒄𝒐𝒕𝒕 𝑴𝒂𝒕𝒕𝒉𝒆𝒘𝒔 🇦🇺 profil fotoğrafı
𝑫𝒂𝒏𝒊𝒆𝒍 𝑺𝒄𝒐𝒕𝒕 𝑴𝒂𝒕𝒕𝒉𝒆𝒘𝒔 🇦🇺1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK Awesome results, keep having fun!

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Alex Saint-Jhon Osei, MFA1 yıl önce

@nbrichtova @19kaushiks @m__dehghani @robertriachi @OfficialLoganK Thank you to the team for working hard on this.

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Natalie Brunell ⚡️

195,803 görüntüleme • 10 ay önce

Everyone is talking about Vibe Coding (Using AI to Create Apps Only using AI) This is the most Comprehensive Guide for Vibe Coding with Cursor (By Far) 250 Minutes, All the vibe code basics of cursor, plus 4 Projects in one video! This is how I, as someone who has never written a line of code, approach building apps (every day). Part 1A Intro to Cursor, Composer, and some basics --------------------- 00:00 Intro 03:41 Downloading Cursor 06:09 What the hell is Composer? 10:47 A Note on Context and Keeping Composer Threads Small 11:38 Simple Desings with Cursor Composer From Blank Project 14:04 Editing a Simple Animation With Cursor Composer 16:35 Setting Up The Voice to Talk to Cursor Composer Whispr Flow 17:54 Lets an Early 2000's Landing Page Part 1B AI Image Generator --------------------- 23:59 Using the GitHub Template to Create a NextJS App 26:43 Template is Open, Let's Edit it 28:55 Drawing Out My Idea With Whimsical 30:11 First Prompt Using Place Holders For Image Generation 32:10 Accept All Vs Save All and Restoring in Composer (Saving your work) 33:54 Adding AI Feature (Brief Teaser, Deep Dive Later) 35:15 What is an API 37:22 Perplexity the best place to learn about API's 40:21 Api keys and running prompt for first AI Feature 42:48 Debugging, Woohoo! Learn to love this :) 43:20 Inspect - Console, In Browser Debugging Hack 48:02 AI Image Generation Works! Lets add more Part 2: Landing Page ---------------------- 51:03 Pause and Reflect, What have we done so far? 53:41 Plan for rest of video 54:34 Ok Let's Talk about (1) Designs 56:19 GitHub is like --sref for those who do image gen 58:20 Starting Cursor project from a GitHub Repo we found on Perplexity 01:00:48 Yolo Mode... Wtf is that? 01:02:38 Inspecting GitHub Repo's Examples, to use in our landing page 01:02:58 The Project We're making - A landing page 01:03:56 Landing Page from Screenshot 01:06:17 Making Changes to Landing Page 01:11:42 Making a more epic section 01:13:42 The Essence of Vibe Coding 01:15:17 Creating Cool Testimonials Section From Screenshot 01:18:18 Deploy to Vercel! But First New Repo on GitHub 01:20:45 Ok it's on GitHub... Now lets do vercel 01:21:17 Untechnical Explanation of what Vercel is Lol 01:24:18 Connecting Custom Domain (Bought on Name Cheap) To Vercel Deployment Part 3: App With Database and Authentication ---------------------- 01:27:59 Recap and Prep For The Bigger Project! 01:35:13 Getting Started from Template (Again) 01:38:52 Setting Up Database and Authentication (Firebase) 01:44:01 Back To Cursor, Let's Set up The Auth in the app 01:48:35 Switching to mermaid because compatibility issues 01:51:13 Using AI (Claude) to Generate Mermaid Diagrams 01:52:19 Adding Docs to Cursor to use AI Features over and over again 01:54:38 Let's Troubleshoot 01:56:10 Adding View Button and EDIT WITH AI 02:01:45 AI Diagram Edit Feature is DOPE 02:03:17 Using Search Feature on Cursor to find text in Codebase 02:05:55 Lets add ability to save these to Database 02:09:33 What does saved to Google Firebase even mean? 02:13:00 We can Export as PDF! 02:15:48 GitHub and Vercel Again! 02:17:27 Vercel with CLI From Cursor 02:20:52 Setting Vercel Domain as an Authorized Domain 02:27:34 How To Learn More
2:28:16

Everyone is talking about Vibe Coding (Using AI to Create Apps Only using AI) This is the most Comprehensive Guide for Vibe Coding with Cursor (By Far) 250 Minutes, All the vibe code basics of cursor, plus 4 Projects in one video! This is how I, as someone who has never written a line of code, approach building apps (every day). Part 1A Intro to Cursor, Composer, and some basics --------------------- 00:00 Intro 03:41 Downloading Cursor 06:09 What the hell is Composer? 10:47 A Note on Context and Keeping Composer Threads Small 11:38 Simple Desings with Cursor Composer From Blank Project 14:04 Editing a Simple Animation With Cursor Composer 16:35 Setting Up The Voice to Talk to Cursor Composer Whispr Flow 17:54 Lets an Early 2000's Landing Page Part 1B AI Image Generator --------------------- 23:59 Using the GitHub Template to Create a NextJS App 26:43 Template is Open, Let's Edit it 28:55 Drawing Out My Idea With Whimsical 30:11 First Prompt Using Place Holders For Image Generation 32:10 Accept All Vs Save All and Restoring in Composer (Saving your work) 33:54 Adding AI Feature (Brief Teaser, Deep Dive Later) 35:15 What is an API 37:22 Perplexity the best place to learn about API's 40:21 Api keys and running prompt for first AI Feature 42:48 Debugging, Woohoo! Learn to love this :) 43:20 Inspect - Console, In Browser Debugging Hack 48:02 AI Image Generation Works! Lets add more Part 2: Landing Page ---------------------- 51:03 Pause and Reflect, What have we done so far? 53:41 Plan for rest of video 54:34 Ok Let's Talk about (1) Designs 56:19 GitHub is like --sref for those who do image gen 58:20 Starting Cursor project from a GitHub Repo we found on Perplexity 01:00:48 Yolo Mode... Wtf is that? 01:02:38 Inspecting GitHub Repo's Examples, to use in our landing page 01:02:58 The Project We're making - A landing page 01:03:56 Landing Page from Screenshot 01:06:17 Making Changes to Landing Page 01:11:42 Making a more epic section 01:13:42 The Essence of Vibe Coding 01:15:17 Creating Cool Testimonials Section From Screenshot 01:18:18 Deploy to Vercel! But First New Repo on GitHub 01:20:45 Ok it's on GitHub... Now lets do vercel 01:21:17 Untechnical Explanation of what Vercel is Lol 01:24:18 Connecting Custom Domain (Bought on Name Cheap) To Vercel Deployment Part 3: App With Database and Authentication ---------------------- 01:27:59 Recap and Prep For The Bigger Project! 01:35:13 Getting Started from Template (Again) 01:38:52 Setting Up Database and Authentication (Firebase) 01:44:01 Back To Cursor, Let's Set up The Auth in the app 01:48:35 Switching to mermaid because compatibility issues 01:51:13 Using AI (Claude) to Generate Mermaid Diagrams 01:52:19 Adding Docs to Cursor to use AI Features over and over again 01:54:38 Let's Troubleshoot 01:56:10 Adding View Button and EDIT WITH AI 02:01:45 AI Diagram Edit Feature is DOPE 02:03:17 Using Search Feature on Cursor to find text in Codebase 02:05:55 Lets add ability to save these to Database 02:09:33 What does saved to Google Firebase even mean? 02:13:00 We can Export as PDF! 02:15:48 GitHub and Vercel Again! 02:17:27 Vercel with CLI From Cursor 02:20:52 Setting Vercel Domain as an Authorized Domain 02:27:34 How To Learn More

Riley Brown

368,936 görüntüleme • 1 yıl önce

College sports are going through massive changes, so Matt Brown (publisher, Extra Points & one of the top experts on the business of college athletics), joined the show to break it all down. We discuss: - Superconference realignment - Why the transfer portal is chaos right now - Why most NIL deals have terrible ROI - How “bag man” money moves - Which teams make the most money - Will athletes become employees? - The full history of college athletics - The class action lawsuit happening now (00:00) Meet Matt Brown: Expert in College Sports Business (03:09) The Origins of College Sports (06:31) The Evolution of College Sports Broadcasting (14:53) Title IX and Its Impact on College Athletics (17:53) The 1984 Supreme Court Decision and Its Aftermath (20:03) The SMU Death Penalty Scandal (22:19) Conference Realignment and the BCS Era (28:22) The Rise of Conference Television Networks (30:23) The Arms Race in College Sports Facilities (34:41) The Role of Boosters in College Sports (36:03) Financial Breakdown of Major College Sports Programs (37:04) Understanding Nonprofit Accounting in College Athletics (38:20) Revenue Generation in College Sports (40:34) Athletics as Enrollment Management (42:04) The Flutie Effect and University Applications (44:37) Conference Realignment and Financial Instability (48:58) The O'Bannon Case and Video Game Licensing (53:59) The Northwestern Unionization Attempt (58:19) The Alston Case and Educational Awards (01:02:11) Name, Image, and Likeness (NIL) Marketplaces (01:05:51) The Role of Collectives in College Sports (01:12:08) Dependability of Young Campaign Partners (01:13:03) Transfer Portal and Its Impact (01:15:56) Rise of NIL Agents and Handlers (01:17:40) Economic Incentives and Transfer Market (01:20:37) Challenges in NIL Enforcement (01:22:48) House Settlement and Future Implications (01:25:38) Allocation of NIL Funds by Universities (01:44:26) Potential Super Leagues and Investment Challenges (01:48:07) Concluding Thoughts on College Sports
1:49:43

College sports are going through massive changes, so Matt Brown (publisher, Extra Points & one of the top experts on the business of college athletics), joined the show to break it all down. We discuss: - Superconference realignment - Why the transfer portal is chaos right now - Why most NIL deals have terrible ROI - How “bag man” money moves - Which teams make the most money - Will athletes become employees? - The full history of college athletics - The class action lawsuit happening now (00:00) Meet Matt Brown: Expert in College Sports Business (03:09) The Origins of College Sports (06:31) The Evolution of College Sports Broadcasting (14:53) Title IX and Its Impact on College Athletics (17:53) The 1984 Supreme Court Decision and Its Aftermath (20:03) The SMU Death Penalty Scandal (22:19) Conference Realignment and the BCS Era (28:22) The Rise of Conference Television Networks (30:23) The Arms Race in College Sports Facilities (34:41) The Role of Boosters in College Sports (36:03) Financial Breakdown of Major College Sports Programs (37:04) Understanding Nonprofit Accounting in College Athletics (38:20) Revenue Generation in College Sports (40:34) Athletics as Enrollment Management (42:04) The Flutie Effect and University Applications (44:37) Conference Realignment and Financial Instability (48:58) The O'Bannon Case and Video Game Licensing (53:59) The Northwestern Unionization Attempt (58:19) The Alston Case and Educational Awards (01:02:11) Name, Image, and Likeness (NIL) Marketplaces (01:05:51) The Role of Collectives in College Sports (01:12:08) Dependability of Young Campaign Partners (01:13:03) Transfer Portal and Its Impact (01:15:56) Rise of NIL Agents and Handlers (01:17:40) Economic Incentives and Transfer Market (01:20:37) Challenges in NIL Enforcement (01:22:48) House Settlement and Future Implications (01:25:38) Allocation of NIL Funds by Universities (01:44:26) Potential Super Leagues and Investment Challenges (01:48:07) Concluding Thoughts on College Sports

The Logan Bartlett Show

23,210 görüntüleme • 1 yıl önce

Here's my conversation with Sundar Pichai, CEO of Google and Alphabet. I've gotten to know Sundar over the past 2 years. His life story and approach to leadership are truly inspiring. So this conversation was a pleasure and honor for me 🙏 We're living through the most exciting period of technological innovation in human history. And Google & Alphabet are at the center of it. This chat made me even more excited for the future! Oh, and they just now released a new model (gemini-2.5-pro-preview-06-05) that's the new state of the art at #1 on lmarena 🤯 Full conversation is here on X and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:08 - Introduction 2:18 - Growing up in India 8:27 - Advice for young people 10:09 - Styles of leadership 14:29 - Impact of AI in human history 26:39 - Veo 3 and future of video 34:24 - Scaling laws 38:09 - AGI and ASI 44:33 - P(doom) 51:24 - Toughest leadership decisions 1:02:32 - AI mode vs Google Search 1:15:22 - Google Chrome 1:30:52 - Programming 1:37:37 - Android 1:42:49 - Questions for AGI 1:48:05 - Future of humanity 1:51:26 - Demo: Google Beam 1:59:09 - Demo: Google XR Glasses 2:01:54 - Biggest invention in human history
2:12:04

Here's my conversation with Sundar Pichai, CEO of Google and Alphabet. I've gotten to know Sundar over the past 2 years. His life story and approach to leadership are truly inspiring. So this conversation was a pleasure and honor for me 🙏 We're living through the most exciting period of technological innovation in human history. And Google & Alphabet are at the center of it. This chat made me even more excited for the future! Oh, and they just now released a new model (gemini-2.5-pro-preview-06-05) that's the new state of the art at #1 on lmarena 🤯 Full conversation is here on X and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:08 - Introduction 2:18 - Growing up in India 8:27 - Advice for young people 10:09 - Styles of leadership 14:29 - Impact of AI in human history 26:39 - Veo 3 and future of video 34:24 - Scaling laws 38:09 - AGI and ASI 44:33 - P(doom) 51:24 - Toughest leadership decisions 1:02:32 - AI mode vs Google Search 1:15:22 - Google Chrome 1:30:52 - Programming 1:37:37 - Android 1:42:49 - Questions for AGI 1:48:05 - Future of humanity 1:51:26 - Demo: Google Beam 1:59:09 - Demo: Google XR Glasses 2:01:54 - Biggest invention in human history

Lex Fridman

939,418 görüntüleme • 1 yıl önce

Okay, people. Chris Kemp and I got the band back together to talk Wild, Wild Space and Astra's $80m raise and return to the pad. Full episode of the pod here on X Timestamps 0:00:00 Introduction & Guest Chris Kemp 0:01:18 Astra's Journey and Current State 0:08:01 Taking Astra Private 0:10:17 New Leadership and Space Force Collaboration 0:12:18 Rocket Industry Landscape 0:14:22 Shifting to Larger Satellites 0:15:15 DoD Drone Launch Contract 0:21:19 Vision of Global Spaceports 0:24:25 Satellite Constellations and Dual Use 0:26:36 Global Telecom & Space Race 0:30:01 Open Standards & Space Interoperability 0:31:14 Life After Going Private 0:32:17 Lessons from the SPAC Era 0:34:03 Focusing on Rocket 4 0:36:15 Balancing Speed and Reliability 0:40:06 The Cost of Innovation 0:42:21 Fundraising and Customer Commitment 0:44:12 The Satellite Engine Business 0:45:09 Decentralized Constellation Vision 0:50:14 Future Plans and Series B 0:52:21 Why Kemp Keeps Going 0:54:20 What’s Next for Astra 0:56:06 Thoughts on the Competition 0:59:13 Sideways Rocket Explained 1:00:15 Vision for NASA's Future
1:12:26

Okay, people. Chris Kemp and I got the band back together to talk Wild, Wild Space and Astra's $80m raise and return to the pad. Full episode of the pod here on X Timestamps 0:00:00 Introduction & Guest Chris Kemp 0:01:18 Astra's Journey and Current State 0:08:01 Taking Astra Private 0:10:17 New Leadership and Space Force Collaboration 0:12:18 Rocket Industry Landscape 0:14:22 Shifting to Larger Satellites 0:15:15 DoD Drone Launch Contract 0:21:19 Vision of Global Spaceports 0:24:25 Satellite Constellations and Dual Use 0:26:36 Global Telecom & Space Race 0:30:01 Open Standards & Space Interoperability 0:31:14 Life After Going Private 0:32:17 Lessons from the SPAC Era 0:34:03 Focusing on Rocket 4 0:36:15 Balancing Speed and Reliability 0:40:06 The Cost of Innovation 0:42:21 Fundraising and Customer Commitment 0:44:12 The Satellite Engine Business 0:45:09 Decentralized Constellation Vision 0:50:14 Future Plans and Series B 0:52:21 Why Kemp Keeps Going 0:54:20 What’s Next for Astra 0:56:06 Thoughts on the Competition 0:59:13 Sideways Rocket Explained 1:00:15 Vision for NASA's Future

Ashlee Vance

31,431 görüntüleme • 1 yıl önce

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.
0:30

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

AI at Meta

2,267,156 görüntüleme • 2 yıl önce

SITUATION EXPLAINED: MiniMax released H3 with open weights, and it's already #1 in video editing. • Priced at $7.80 per minute of 2K video, against Seedance 2.0 at $22.45 and Kling 3.0 at $20.16 • It ranks #1 on Artificial Analysis for video editing, #2 for text-to-video behind Gemini Omni Flash, and #3 for image-to-video • H3 takes text, images, video, and audio in a single context and generates 5-15 second clips at native 2K, 24fps, with native stereo audio • MiniMax is releasing the weights under its Community License within days, which would make it the strongest open-weights video model by a wide margin • It launched the same week ByteDance rolled out Seedance 2.5, which now generates 30-second 4K video from a single prompt • Seedance 2.5's face consistency across a full 30 seconds is the visible jump, earlier models drifted into a different face partway through • Voices are still the obvious tell, the video reads as real long before the audio does • Smaller labs building purpose-built video models are now beating frontier labs at this specific task Theo Jaffee: "This is gonna be one of the biggest examples of things that people are gonna do with these models, historical simulations, basically. Nostalgia videos for zoomers."
7:17

SITUATION EXPLAINED: MiniMax released H3 with open weights, and it's already #1 in video editing. • Priced at $7.80 per minute of 2K video, against Seedance 2.0 at $22.45 and Kling 3.0 at $20.16 • It ranks #1 on Artificial Analysis for video editing, #2 for text-to-video behind Gemini Omni Flash, and #3 for image-to-video • H3 takes text, images, video, and audio in a single context and generates 5-15 second clips at native 2K, 24fps, with native stereo audio • MiniMax is releasing the weights under its Community License within days, which would make it the strongest open-weights video model by a wide margin • It launched the same week ByteDance rolled out Seedance 2.5, which now generates 30-second 4K video from a single prompt • Seedance 2.5's face consistency across a full 30 seconds is the visible jump, earlier models drifted into a different face partway through • Voices are still the obvious tell, the video reads as real long before the audio does • Smaller labs building purpose-built video models are now beating frontier labs at this specific task Theo Jaffee: "This is gonna be one of the biggest examples of things that people are gonna do with these models, historical simulations, basically. Nostalgia videos for zoomers."

MTS

55,187 görüntüleme • 2 ay önce

Want world class research capabilities, but don’t have the resources of a big lab? At our recent Sovereign AI event, Gabe Pereyra shared Harvey ’s “moneyball” approach. Here’s the playbook: 00:00 Introduction 00:37 Building a research lab on a budget 02:28 Legal Agent Bench, contracting, and the diligence dataset 03:57 Domain experts guiding synthetic data generation 05:23 Why Harvey open sourced its datasets 06:55 Working with the neo labs – and why more than one 08:20 Post-training in-house: building "Associate 1" 09:44 The model serving matrix: 60 countries, fallbacks, SLAs 11:05 Deciding what stays in production 12:29 Simple open source switches and model routing 13:55 Moneyball: "If we win on this budget, we change the game" 14:53 Q&A: Training with sensitive data 17:16 Q&A: Competing for research talent 18:46 Q&A: Designing rubrics that actually challenge frontier models 20:19 Q&A: Where the pipeline breaks — data, research, or infra 22:59 Q&A: The tension in open sourcing a benchmark 25:02 Q&A: Biggest remaining open problems 27:10 Q&A: Competing with horizontal products
29:20

Want world class research capabilities, but don’t have the resources of a big lab? At our recent Sovereign AI event, Gabe Pereyra shared Harvey ’s “moneyball” approach. Here’s the playbook: 00:00 Introduction 00:37 Building a research lab on a budget 02:28 Legal Agent Bench, contracting, and the diligence dataset 03:57 Domain experts guiding synthetic data generation 05:23 Why Harvey open sourced its datasets 06:55 Working with the neo labs – and why more than one 08:20 Post-training in-house: building "Associate 1" 09:44 The model serving matrix: 60 countries, fallbacks, SLAs 11:05 Deciding what stays in production 12:29 Simple open source switches and model routing 13:55 Moneyball: "If we win on this budget, we change the game" 14:53 Q&A: Training with sensitive data 17:16 Q&A: Competing for research talent 18:46 Q&A: Designing rubrics that actually challenge frontier models 20:19 Q&A: Where the pipeline breaks — data, research, or infra 22:59 Q&A: The tension in open sourcing a benchmark 25:02 Q&A: Biggest remaining open problems 27:10 Q&A: Competing with horizontal products

Pat Grady

179,308 görüntüleme • 1 ay önce