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。

r1 one year later | introducing memory 0:00 remember this guy? 00:34 introducing memory 3:00 memory in action 5:23 r1 one year later: unlimited AI + magic personalization 7:17 rabbitOS intern 8:14 sneak peak

rabbit inc.

66,220 subscribers

30,548 次观看 • 1 年前 •via X (Twitter)

艺术科学技术教育

Anya Rossi• Live Now

Private livecam show

11 条评论

rabbit inc. 的头像

rabbit inc.1 年前

using memory on r1 is easy here's how:

Bytescribe 的头像

Bytescribe1 年前

Introducing Vehrbal, the AI that converts audio into SOAP notes! Say goodbye to wasted time and hello to effortless note-taking. Experience the power of fast, simple, and efficient with Vehrbal today.

rabbit inc. 的头像

rabbit inc.1 年前

put intern to work today - no r1 required here's a guide:

Eric Buess 的头像

Eric Buess1 年前

I love Rabbit R1 so much. I have two in my home and just gave 4 to AI mentees heading to college. It's a fantastic gift due to no required subscriptions and 9 daily RabbitOS uses! Awesome update! Long meeting recordings work and memory feature is great! And look what's coming...

Riley Coyote 的头像

Riley Coyote1 年前

Can confirm these update have quite literally changed my entire experience with the R1. and i was the *most* critical of this device, historically. now im kinda a complete stan for Rabbit.

rabbit inc. 的头像

rabbit inc.1 年前

buy r1:

Eric Buess 的头像

Eric Buess1 年前

Really looking forward to being able to trigger RabbitOS tasks from the r1 and hear feedback about when they're done! Sounded like that's on the roadmap. Is that right? Any estimate on when? That will be the major unlock for some people. I have a friend who's keeping is r1 in a box as a collectors item. I think that feature will bring it out of the box 😂

DoseItReallyMatter 的头像

DoseItReallyMatter1 年前

This is a nice addition

Growing Back to the Land 的头像

Growing Back to the Land1 年前

I absolutely love mine! ❤️🐇❤️

POISON CLOTHING 的头像

POISON CLOTHING1 年前

Sick !!

Mike Cane 的头像

Mike Cane1 年前

@SimonBalmain Good video. Is an r2 ever happening?

相关视频

the old r1 is dead. introducing a totally new experience with rabbitOS 2 + creations. we realized there was a gap between our early vision and the actual experience we delivered. so we overhauled everything. 0:00 flashback 0:14 facing the facts 2:18 the revamp: rabbitOS 2 5:04 creations: think it. say it. build it. 8:11 still building. still shipping.

the old r1 is dead. introducing a totally new experience with rabbitOS 2 + creations. we realized there was a gap between our early vision and the actual experience we delivered. so we overhauled everything. 0:00 flashback 0:14 facing the facts 2:18 the revamp: rabbitOS 2 5:04 creations: think it. say it. build it. 8:11 still building. still shipping.

rabbit inc.

488,705 次观看 • 11 个月前

Memory is eating the world When consumers feel the heat, you know its a problem. While big-3 memory companies are enjoying sweet-sweet profit margins…the rest of the electronics market is cracking under pricing pressure. - GoPro is more like GoingUnder - Apple products 10-30% pricier - Even music synths are more expensive Is it price gouging at this point? Is this revenge for all the memory cyclicality? When will this end? Chapters: 0:00 Memory crisis hits 1:20 AI impacting consumers 3:00 AI causing inflation 6:48 Consumer demand drop? 8:49 AI demand inelastic 10:56 Long-term memory outlook 11:02 GoPro's memory woes 12:24 Apple's pricing power 18:20 Apple seeks CXMT DRAM 21:38 Shrinkflation for phones 23:16 Korea's memory investment 26:10 Micron's killing profits 33:00 Why AI needs so much DRAM 40:27 Future of AI training 44:34 Cost-optimizing inference Get more of Austin and Vik daily, free! Sign up: Connect with Vik and Austin: Vik's Paid Substack: Austin's Paid Substack: Austin Lyons Vikram Sekar $MU

Memory is eating the world When consumers feel the heat, you know its a problem. While big-3 memory companies are enjoying sweet-sweet profit margins…the rest of the electronics market is cracking under pricing pressure. - GoPro is more like GoingUnder - Apple products 10-30% pricier - Even music synths are more expensive Is it price gouging at this point? Is this revenge for all the memory cyclicality? When will this end? Chapters: 0:00 Memory crisis hits 1:20 AI impacting consumers 3:00 AI causing inflation 6:48 Consumer demand drop? 8:49 AI demand inelastic 10:56 Long-term memory outlook 11:02 GoPro's memory woes 12:24 Apple's pricing power 18:20 Apple seeks CXMT DRAM 21:38 Shrinkflation for phones 23:16 Korea's memory investment 26:10 Micron's killing profits 33:00 Why AI needs so much DRAM 40:27 Future of AI training 44:34 Cost-optimizing inference Get more of Austin and Vik daily, free! Sign up: Connect with Vik and Austin: Vik's Paid Substack: Austin's Paid Substack: Austin Lyons Vikram Sekar $MU

Semi Doped

34,810 次观看 • 1 个月前

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events

Google AI Developers

39,702 次观看 • 9 个月前

I ranked the 3 best OpenClaw🦞 mission controls I've seen — then rebuilt the best one live. Here's what I cover ↓ 0:00 - The 3 Mission Controls That Can Power Your OpenClaw 0:42 - Sub-Agent Management (Clean, Simple, Effective) 2:15 - The Task-Focused Dashboard Going Semi-Viral 4:05 - Live Activity Feeds, Memory, Docs & Chat In One Place 5:30 - Alex Finn's Full Build (The King of OpenClaw) 7:00 - Content Pipelines, Cron Job Calendars & Daily Journals 8:30 - Why I Rebuild These in Lovable Instead of OpenClaw 9:15 - Using OpenClaw to craft Lovable Prompt 10:00 - The One-Prompt Dashboard Build (Live) 11:00 - The Final Product — Tasks, Content, Calendar, Memory, Team & Settings Bookmark this for when you're ready to build yours. Follow for more builds like this.

I ranked the 3 best OpenClaw🦞 mission controls I've seen — then rebuilt the best one live. Here's what I cover ↓ 0:00 - The 3 Mission Controls That Can Power Your OpenClaw 0:42 - Sub-Agent Management (Clean, Simple, Effective) 2:15 - The Task-Focused Dashboard Going Semi-Viral 4:05 - Live Activity Feeds, Memory, Docs & Chat In One Place 5:30 - Alex Finn's Full Build (The King of OpenClaw) 7:00 - Content Pipelines, Cron Job Calendars & Daily Journals 8:30 - Why I Rebuild These in Lovable Instead of OpenClaw 9:15 - Using OpenClaw to craft Lovable Prompt 10:00 - The One-Prompt Dashboard Build (Live) 11:00 - The Final Product — Tasks, Content, Calendar, Memory, Team & Settings Bookmark this for when you're ready to build yours. Follow for more builds like this.

Jacob Klug

25,569 次观看 • 5 个月前

Here's my conversation with Charan Ranganath, psychologist & neuroscientist at UC Davis, specializing in human memory. We talk about memory, imagination, deja vu, false memories, why we remember, why we forget, and a lot of other fascinating mysteries about the human mind. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:03 - Experiencing self vs remembering self 14:44 - Creating memories 24:16 - Why we forget 31:53 - Training memory 42:22 - Memory hacks 54:10 - Imagination vs memory 1:03:29 - Memory competitions 1:13:18 - Science of memory 1:28:33 - Discoveries 1:39:37 - Deja vu 1:44:54 - False memories 2:04:59 - False confessions 2:08:45 - Heartbreak 2:16:19 - Nature of time 2:24:00 - Brain–computer interface (BCI) 2:38:04 - AI and memory 2:48:18 - ADHD 2:55:15 - Music 3:05:00 - Human mind

Here's my conversation with Charan Ranganath, psychologist & neuroscientist at UC Davis, specializing in human memory. We talk about memory, imagination, deja vu, false memories, why we remember, why we forget, and a lot of other fascinating mysteries about the human mind. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:03 - Experiencing self vs remembering self 14:44 - Creating memories 24:16 - Why we forget 31:53 - Training memory 42:22 - Memory hacks 54:10 - Imagination vs memory 1:03:29 - Memory competitions 1:13:18 - Science of memory 1:28:33 - Discoveries 1:39:37 - Deja vu 1:44:54 - False memories 2:04:59 - False confessions 2:08:45 - Heartbreak 2:16:19 - Nature of time 2:24:00 - Brain–computer interface (BCI) 2:38:04 - AI and memory 2:48:18 - ADHD 2:55:15 - Music 3:05:00 - Human mind

Lex Fridman

294,628 次观看 • 2 年前

Context memory essentially unlocks Agentic AI Much needed for Opus 4.6's "multi-agent swarms" In this SemiDoped pod, Vikram Sekar talks to Val Bercovici from Weka about context storage. - How token warehouses save inference costs - A new networking tier? Context Storage Network! - High Bandwidth Flash for context? - Weka's Augmented Memory Grid for context storage - Where this is all headed The convo is info packed. Don't miss out on it! b/acc, context platform engineer Chapters (00:00) Introduction to Weka and AI Storage Solutions (05:18) The Evolution of Context Memory in AI (09:30) Understanding Memory Hierarchies and Their Impact (16:24) Latency Challenges in Modern Storage Solutions (21:32) The Role of Networking in AI Storage Efficiency (29:42) Dynamic Resource Utilization in AI Networks (30:04) Introducing the Context Memory Network (31:13) High Bandwidth Flash: A Game Changer (32:54) Weka’s Neural Mesh and Storage Solutions (35:01) Axon: Transforming GPU Storage into Memory (39:00) Augmented Memory Grid Explained (42:00) Pooling DRAM and CXL Innovations (46:02) Token Warehouses and Inference Economics (52:10) The Future of Storage Innovations

Context memory essentially unlocks Agentic AI Much needed for Opus 4.6's "multi-agent swarms" In this SemiDoped pod, Vikram Sekar talks to Val Bercovici from Weka about context storage. - How token warehouses save inference costs - A new networking tier? Context Storage Network! - High Bandwidth Flash for context? - Weka's Augmented Memory Grid for context storage - Where this is all headed The convo is info packed. Don't miss out on it! b/acc, context platform engineer Chapters (00:00) Introduction to Weka and AI Storage Solutions (05:18) The Evolution of Context Memory in AI (09:30) Understanding Memory Hierarchies and Their Impact (16:24) Latency Challenges in Modern Storage Solutions (21:32) The Role of Networking in AI Storage Efficiency (29:42) Dynamic Resource Utilization in AI Networks (30:04) Introducing the Context Memory Network (31:13) High Bandwidth Flash: A Game Changer (32:54) Weka’s Neural Mesh and Storage Solutions (35:01) Axon: Transforming GPU Storage into Memory (39:00) Augmented Memory Grid Explained (42:00) Pooling DRAM and CXL Innovations (46:02) Token Warehouses and Inference Economics (52:10) The Future of Storage Innovations

Semi Doped

12,796 次观看 • 6 个月前

One year ago today, Zionist tunnels were discovered under synagogues in NYC. Stained mattresses and baby high chairs were found inside. A year later, no real conclusions, this seems to be slipping into the memory hole of time.

One year ago today, Zionist tunnels were discovered under synagogues in NYC. Stained mattresses and baby high chairs were found inside. A year later, no real conclusions, this seems to be slipping into the memory hole of time.

Furkan Gözükara

12,363,408 次观看 • 7 个月前

This video will make you a Claude Fable 5 expert in 20 minutes. 0:00 Intro 2:43 wtf is a loop? 5:30 Loop Engineering 101 *demo included* 8:12 Fable 5 x Claude Skills 10:10 3 ways to build effective Fable 5 Skills 12:12 Visual capabilities 14:04 Building a local memory system 18:17 How I'm personally using Fable now

This video will make you a Claude Fable 5 expert in 20 minutes. 0:00 Intro 2:43 wtf is a loop? 5:30 Loop Engineering 101 demo included 8:12 Fable 5 x Claude Skills 10:10 3 ways to build effective Fable 5 Skills 12:12 Visual capabilities 14:04 Building a local memory system 18:17 How I'm personally using Fable now

Miles Deutscher

318,258 次观看 • 1 个月前

This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money

This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money

Miles Deutscher

110,929 次观看 • 26 天前

songs seungkwan sang on 250418 bboostella while taking a walk 🍃 #승관 0:00 april shower 0:10 cheers to youth 0:32 7PM 1:34 ready to love 2:12 still lonely 2:23 dust 3:22 chocolate 3:50 candy 4:29 good to me 4:37 alright 5:10 ash 5:23 i wish 5:40 somewhere in this universe 6:31 still you 7:34 pit a pat 8:00 dandelion

songs seungkwan sang on 250418 bboostella while taking a walk 🍃 #승관 0:00 april shower 0:10 cheers to youth 0:32 7PM 1:34 ready to love 2:12 still lonely 2:23 dust 3:22 chocolate 3:50 candy 4:29 good to me 4:37 alright 5:10 ash 5:23 i wish 5:40 somewhere in this universe 6:31 still you 7:34 pit a pat 8:00 dandelion

🐻

194,693 次观看 • 1 年前

In the latest episode of Release Notes, Gemini's Dave Citron joins Logan Kilpatrick to deep dive into some of the latest Gemini updates. 🎙️ Learn more about Gemini with personalization, Canvas, Audio Overviews, Deep Research, and more: Timestamps: 0:00 Introduction 0:59 Recent Gemini app launches 2:00 Introducing Canvas 5:12 Canvas in action 8:46 Canvas examples 12:02 Enhanced capabilities with Thinking Models 15:12 Deep Research in action 20:27 The future of agentic experiences 22:12 Deep Research and Audio Overviews 24:11 Personalization in Gemini app 27:50 Personalization in action 29:58 How personalization works: user data and privacy 32:30 The future of personalization

In the latest episode of Release Notes, Gemini's Dave Citron joins Logan Kilpatrick to deep dive into some of the latest Gemini updates. 🎙️ Learn more about Gemini with personalization, Canvas, Audio Overviews, Deep Research, and more: Timestamps: 0:00 Introduction 0:59 Recent Gemini app launches 2:00 Introducing Canvas 5:12 Canvas in action 8:46 Canvas examples 12:02 Enhanced capabilities with Thinking Models 15:12 Deep Research in action 20:27 The future of agentic experiences 22:12 Deep Research and Audio Overviews 24:11 Personalization in Gemini app 27:50 Personalization in action 29:58 How personalization works: user data and privacy 32:30 The future of personalization

Google Gemini

119,472 次观看 • 1 年前

🚨 A special NFL Awards edition of NFL Spotlight—predicting NFL honors and unveiling our own unique awards! FULL VIDEO + TIMESTAMPS👇 (0:00) Intro (3:01) Best Addition of the Year (5:56) News of the Year (8:16) Play of the Year (10:54) Game of the Year (13:12) Offensive & Defensive Rookie of the Year (23:40) Assistant Coach of the Year (26:42) Coach of the Year (30:20) Protector of the Year (33:26) Comeback Player of the Year (34:52) Offensive & Defensive Player of the Year (39:00) MVP (42:00) Spotlight Guest of the Year.

🚨 A special NFL Awards edition of NFL Spotlight—predicting NFL honors and unveiling our own unique awards! FULL VIDEO + TIMESTAMPS👇 (0:00) Intro (3:01) Best Addition of the Year (5:56) News of the Year (8:16) Play of the Year (10:54) Game of the Year (13:12) Offensive & Defensive Rookie of the Year (23:40) Assistant Coach of the Year (26:42) Coach of the Year (30:20) Protector of the Year (33:26) Comeback Player of the Year (34:52) Offensive & Defensive Player of the Year (39:00) MVP (42:00) Spotlight Guest of the Year.

Ari Meirov

189,848 次观看 • 6 个月前

Our Director in Research Gregory Wayne is one of the team behind Project Astra: our research prototype exploring future capabilities of a universal AI assistant. ✨ He joined our podcast host Hannah Fry to share more about how it was developed and what might come next. ↓ Timecodes: 00:00 Intro to Project Astra 03:00 Hannah demo 07:00 Hardware and what's under the hood 16:56 Languages 23:00 Inspiration for Project Astra 33:55 Latency and memory 46:00 What's next 47:00 Hannah's thoughts

Our Director in Research Gregory Wayne is one of the team behind Project Astra: our research prototype exploring future capabilities of a universal AI assistant. ✨ He joined our podcast host Hannah Fry to share more about how it was developed and what might come next. ↓ Timecodes: 00:00 Intro to Project Astra 03:00 Hannah demo 07:00 Hardware and what's under the hood 16:56 Languages 23:00 Inspiration for Project Astra 33:55 Latency and memory 46:00 What's next 47:00 Hannah's thoughts

Google DeepMind

71,447 次观看 • 1 年前

10 things I'm buying, and why. Also going into a bit as to why I'd buy these when the 4 year cycle is supposedly intact and we're supposedly in a prolonged bear market. Timestamps 00:00 #1 05:00 #2 07:30 #3 08:30 #4 10:00 #5 12:30 #6 14:30 #7 17:15 #8 21:20 Thoughts on crypto market and #Bitcoin 28:20 #9 29:00 #10 32:30 I sold $RXRX

10 things I'm buying, and why. Also going into a bit as to why I'd buy these when the 4 year cycle is supposedly intact and we're supposedly in a prolonged bear market. Timestamps 00:00 #1 05:00 #2 07:30 #3 08:30 #4 10:00 #5 12:30 #6 14:30 #7 17:15 #8 21:20 Thoughts on crypto market and #Bitcoin 28:20 #9 29:00 #10 32:30 I sold $RXRX

Cantonese Cat 🐱🐈

58,990 次观看 • 5 个月前

Low - I Could Live in Hope (1994) Tracklist: 1. Words (0:00) 2. Fear (5:51) 3. Cut (8:07) 4. Slide (13:55) 5. Lazy (17:46) 6. Lullaby (23:24) 7. Sea (33:15) 8. Down (35:05) 9. Drag (42:34) 10. Rope (47:50) 11. Sunshine (54:07)

Low - I Could Live in Hope (1994) Tracklist: 1. Words (0:00) 2. Fear (5:51) 3. Cut (8:07) 4. Slide (13:55) 5. Lazy (17:46) 6. Lullaby (23:24) 7. Sea (33:15) 8. Down (35:05) 9. Drag (42:34) 10. Rope (47:50) 11. Sunshine (54:07)

SurfSkateThrash

43,091 次观看 • 4 个月前

New pod with the legend Dan Ives is live! We break down the AI trade, including Chinese open-source models, Anthropic's slowing revenue growth, the biggest bottlenecks in chips, memory, and energy, and the political battles over data centers. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:51 - Chinese vs American open-source models, & the Anthropic IP lawsuit 4:36 - Falling model costs and the pricing war 5:55 - Cultural bias baked into Chinese AI models? 7:44 - Will AI models eat the whole stack? 11:20 - Specialized AI workflows & model routing 14:00 - Mag 7 free cash flow vs. exploding semiconductor revenue 17:37 - The real AI bottlenecks: memory chips, data centers & energy 30:13 - Anthropic's revenue growth is slowing — should investors worry? 31:17 - Why Dan is leaving Wall Street to build Yorkville Ives 34:32 - Dan's AI market predictions & closing thoughts

New pod with the legend Dan Ives is live! We break down the AI trade, including Chinese open-source models, Anthropic's slowing revenue growth, the biggest bottlenecks in chips, memory, and energy, and the political battles over data centers. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:51 - Chinese vs American open-source models, & the Anthropic IP lawsuit 4:36 - Falling model costs and the pricing war 5:55 - Cultural bias baked into Chinese AI models? 7:44 - Will AI models eat the whole stack? 11:20 - Specialized AI workflows & model routing 14:00 - Mag 7 free cash flow vs. exploding semiconductor revenue 17:37 - The real AI bottlenecks: memory chips, data centers & energy 30:13 - Anthropic's revenue growth is slowing — should investors worry? 31:17 - Why Dan is leaving Wall Street to build Yorkville Ives 34:32 - Dan's AI market predictions & closing thoughts

Anthony Pompliano 🌪

86,547 次观看 • 16 天前

BG2 Ep20. AI Scaling Laws, DOGE, FSD 13, Robotaxi, Trump Public Mkts & more. 👊💥 Brad Gerstner Bill Gurley (00:00) Intro (02:00) AI Scaling Laws (05:54) Implications of AI Scaling Trends (12:20) The Future of Inference and Data Quality (17:51) AI Memory and Actions (21:47) National Full Self-Driving Regulation (23:14) FSD 13 (29:41) Market Disruption: Winners and Losers in the Auto Industry (31:18) The Future of OEM’s (40:41) Department of Government Efficiency (DOGE) (54:47) Tech Market Check

BG2 Ep20. AI Scaling Laws, DOGE, FSD 13, Robotaxi, Trump Public Mkts & more. 👊💥 Brad Gerstner Bill Gurley (00:00) Intro (02:00) AI Scaling Laws (05:54) Implications of AI Scaling Trends (12:20) The Future of Inference and Data Quality (17:51) AI Memory and Actions (21:47) National Full Self-Driving Regulation (23:14) FSD 13 (29:41) Market Disruption: Winners and Losers in the Auto Industry (31:18) The Future of OEM’s (40:41) Department of Government Efficiency (DOGE) (54:47) Tech Market Check

Bg2 Pod

116,637 次观看 • 1 年前

.Jerry Tworek is an AI legend. He came to OpenAI from the world of finance and spent years contributing to some of the company's most important projects. He played a major role in ushering in the era of reasoning and, well, he just left OpenAI. In this Core Memory pod, Kylie Robison and I bring you the exclusive not-so-formal exit interview with Jerry. He explains his dissatisfaction with the company's current research direction and his fears for the field overall. He goes into spots where OpenAI lost its way and Google and Anthropic thrived. And he talks about what he's chasing next. It's a banger. The Core Memory podcast is on all major platforms and on our YouTube channel. This podcast is sponsored by Brex , the intelligent finance platform built to help companies spend smarter and move faster. And it's brought to you by the VC gurus E1 Ventures 🇺🇸 Timestamps 00:00:00 Intro 00:03:37 Jerry Tworek Joins the Pod 00:05:34 Reflecting on Seven Years at OpenAI 00:09:08 Why Jerry Left: 00:12:28 Beyond Pre-Training 00:16:19 The "Sad" Homogeneity of Current AI Labs 00:23:35 The Mavericks: Carmack, Ilya, and LeCun 00:26:32 Training AI on Video Games 00:32:14 Two Big Bets 00:34:32 Updating AGI Timelines 00:37:16 Q-Star 00:41:10 The Coup 00:43:29 Is the Hype Justified? 00:49:23 The Polish Mafia 00:53:15 Google's Comeback and OpenAI's Fumble 00:59:27 Why Anthropic is Impressive 01:03:01 Jerry's Next Chapter 01:11:56 Is AI Research Star-Driven? 01:14:32 Meditation & Conclusion

.Jerry Tworek is an AI legend. He came to OpenAI from the world of finance and spent years contributing to some of the company's most important projects. He played a major role in ushering in the era of reasoning and, well, he just left OpenAI. In this Core Memory pod, Kylie Robison and I bring you the exclusive not-so-formal exit interview with Jerry. He explains his dissatisfaction with the company's current research direction and his fears for the field overall. He goes into spots where OpenAI lost its way and Google and Anthropic thrived. And he talks about what he's chasing next. It's a banger. The Core Memory podcast is on all major platforms and on our YouTube channel. This podcast is sponsored by Brex , the intelligent finance platform built to help companies spend smarter and move faster. And it's brought to you by the VC gurus E1 Ventures 🇺🇸 Timestamps 00:00:00 Intro 00:03:37 Jerry Tworek Joins the Pod 00:05:34 Reflecting on Seven Years at OpenAI 00:09:08 Why Jerry Left: 00:12:28 Beyond Pre-Training 00:16:19 The "Sad" Homogeneity of Current AI Labs 00:23:35 The Mavericks: Carmack, Ilya, and LeCun 00:26:32 Training AI on Video Games 00:32:14 Two Big Bets 00:34:32 Updating AGI Timelines 00:37:16 Q-Star 00:41:10 The Coup 00:43:29 Is the Hype Justified? 00:49:23 The Polish Mafia 00:53:15 Google's Comeback and OpenAI's Fumble 00:59:27 Why Anthropic is Impressive 01:03:01 Jerry's Next Chapter 01:11:56 Is AI Research Star-Driven? 01:14:32 Meditation & Conclusion

Ashlee Vance

11,701 次观看 • 6 个月前

Thriller but OREWAYASUKE recreated it from memory at 10:32 pm Timestamps 1. 00:00 Wanna Be Starting Something 2. 04:34 Baby Be Mine 3. 08:24 The Girl Is Mine 4. 12:13 Thriller 5. 18:18 I Can't Help It 6. 19:29 Beat It 7. 24:39 Billie Jean 8. 28:19 Human Nature 9. 30:58 P.Y.T. (Pretty Young Thing) 10. 36:05 The Lady In My Life

Thriller but OREWAYASUKE recreated it from memory at 10:32 pm Timestamps 1. 00:00 Wanna Be Starting Something 2. 04:34 Baby Be Mine 3. 08:24 The Girl Is Mine 4. 12:13 Thriller 5. 18:18 I Can't Help It 6. 19:29 Beat It 7. 24:39 Billie Jean 8. 28:19 Human Nature 9. 30:58 P.Y.T. (Pretty Young Thing) 10. 36:05 The Lady In My Life

Spectre

75,004 次观看 • 2 个月前

$PENGU token aftermath, Doodles token airdrop & Market crash 0:00 $PENGU claim 2:40 $PENGU Price Action 3:32 $PENGU vs $ME vs $HYPE vs $APE 5:43 Abstract 7:00 NFT Token Catalysts 7:30 Azuki ANIME Token 8:40 Doodles Token 11:00 Jirasan Tokens 11:25 Goblintown Token 11:53 Creepz Tokens 12:30 Moonbirds Token 12:53 Gaming NFT Tokens 13:17 NFT Market Outlook 14:33 Opensea Airdrop 16:08 FOMC Aftermath 17:50 Crypto Market Outlook

$PENGU token aftermath, Doodles token airdrop & Market crash 0:00 $PENGU claim 2:40 $PENGU Price Action 3:32 $PENGU vs $ME vs $HYPE vs $APE 5:43 Abstract 7:00 NFT Token Catalysts 7:30 Azuki ANIME Token 8:40 Doodles Token 11:00 Jirasan Tokens 11:25 Goblintown Token 11:53 Creepz Tokens 12:30 Moonbirds Token 12:53 Gaming NFT Tokens 13:17 NFT Market Outlook 14:33 Opensea Airdrop 16:08 FOMC Aftermath 17:50 Crypto Market Outlook

Gorilla

24,541 次观看 • 1 年前