Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

We are hiring engineers in Austin to build America’s frontier open-source AI lab 🤖⚡️🤖🇺🇸 ☑️ ML Engineer ☑️ Product Engineer ☑️ Growth Engineer Contract-to-hire, US citizens only, starting pay $60-120/hour depending on skill+seniority, streamed every minute in bitcoin Resumes are stupid, just DM us your GitHub and why you’re good

OpenAgents's profile picture

OpenAgents

5,620 subscribers

16,510 Aufrufe • vor 6 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

The open-source & open-weight frontier is 7 months behind the closed-model frontier. Let’s talk about it. Check out last week’s episode for the reasons why you might want to consider open-source & open-weight models. Welcome to the fourth episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! We have been discussing open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Please leave all your questions about open-source & open-weight AI in the comments! This is a super important topic that is novel to most people, and it can be challenging to grasp - so rest assured your questions are shared with many others!
1:14

The open-source & open-weight frontier is 7 months behind the closed-model frontier. Let’s talk about it. Check out last week’s episode for the reasons why you might want to consider open-source & open-weight models. Welcome to the fourth episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! We have been discussing open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Please leave all your questions about open-source & open-weight AI in the comments! This is a super important topic that is novel to most people, and it can be challenging to grasp - so rest assured your questions are shared with many others!

Harper Carroll

17,279 Aufrufe • vor 1 Monat

Comfy3D Update: (v0.1.5.beta, dev branch) by our newly joined ML engineer: Denis⚡️ - Updated Hunyuan3D-2: * Hunyuan3D-DiT-v2-0-Fast * Hunyuan3D-2mini * Hunyuan3D-2mv * Hunyuan3D-2-Turbo * Hunyuan3D-2mini-Turbo and FlashVDM * Hunyuan3D-Paint-v2-0-Turbo ‼️NeuralAI We are hiring skilled ML researchers & engineers (VAE, diffusion model, 3D/texture gen/editing) to join us on a mission to revolutionize 3D virtual production 🤌If you want to work on open-source projects (Not only Comfy3D), make an impact in the industry all while getting paid handsomely, hit me up in DM! (English | 中文 | 日本語)🆗 田中義弘 | taziku CEO / AI × Creative -Zho- toyxyz Robin Huang ComfyUI Tencent Hy Neuro
1:03

Comfy3D Update: (v0.1.5.beta, dev branch) by our newly joined ML engineer: Denis⚡️ - Updated Hunyuan3D-2: * Hunyuan3D-DiT-v2-0-Fast * Hunyuan3D-2mini * Hunyuan3D-2mv * Hunyuan3D-2-Turbo * Hunyuan3D-2mini-Turbo and FlashVDM * Hunyuan3D-Paint-v2-0-Turbo ‼️NeuralAI We are hiring skilled ML researchers & engineers (VAE, diffusion model, 3D/texture gen/editing) to join us on a mission to revolutionize 3D virtual production 🤌If you want to work on open-source projects (Not only Comfy3D), make an impact in the industry all while getting paid handsomely, hit me up in DM! (English | 中文 | 日本語)🆗 田中義弘 | taziku CEO / AI × Creative -Zho- toyxyz Robin Huang ComfyUI Tencent Hy Neuro

Mr. For Example

30,803 Aufrufe • vor 1 Jahr

What does it mean when an AI model is “open weights” and how is it different than “open source”? Welcome to the next episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! Every week we will discuss open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Episode 3 out next week; episode 1 linked below. Please leave all your questions about open-source & open-weight AI in the comments. This is a super important topic that is novel to most people, and it can be challenging to grasp - so your questions are shared with many others.
1:02

What does it mean when an AI model is “open weights” and how is it different than “open source”? Welcome to the next episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! Every week we will discuss open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Episode 3 out next week; episode 1 linked below. Please leave all your questions about open-source & open-weight AI in the comments. This is a super important topic that is novel to most people, and it can be challenging to grasp - so your questions are shared with many others.

Harper Carroll

32,624 Aufrufe • vor 1 Monat

Google engineer: "We don't prompt agents anymore. We build Loops and Graphs that prompt them for us." In 30 minutes he shows how they build agents at Google that do all the work, and why Loops are what make it possible. The missing piece most people skip: you're not supposed to talk to your agents. You're supposed to build the Loop that does. Watch it, then read the full guide on loops and graphs below
29:00

Google engineer: "We don't prompt agents anymore. We build Loops and Graphs that prompt them for us." In 30 minutes he shows how they build agents at Google that do all the work, and why Loops are what make it possible. The missing piece most people skip: you're not supposed to talk to your agents. You're supposed to build the Loop that does. Watch it, then read the full guide on loops and graphs below

Mahax

28,167 Aufrufe • vor 1 Monat

New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:
1:23

New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:

Lenny Rachitsky

251,873 Aufrufe • vor 1 Jahr

Just watched Kai-Fu Lee 's interview on the US-China AI landscape. A few takeaways felt especially useful✌️: 1. The US is currently about 15 months ahead of China in frontier AI models. 2. Top US AI companies are like “geniuses trying to win the Nobel Prize,” while Chinese AI companies are more like “a group of smart kids forming a study group.” They still compete, but open source creates more shared learning. 3. China’s AI companies face a real monetization challenge in enterprise software. Many Chinese companies are less used to annual subscriptions or usage-based pricing, and still tend to think of software as project-based work. 4. For the same product, Western, Middle Eastern, and Central Asian companies may be willing to pay around 8x more than Chinese companies. That helps explain why many Chinese AI companies are expanding overseas. 5. China may produce many breakthrough AI consumer apps, because Chinese companies are especially strong at consumer apps, hardware, robotics, embodied AI, and AI-first devices. 6. The US may continue to lead in frontier models, while China may move faster in turning AI into products people actually use. 7. His advice for young people in the age of AI: you don’t necessarily need to become an engineer first. What matters more is accountability, taste, conviction, courage, and foresight. More👇
17:56

Just watched Kai-Fu Lee 's interview on the US-China AI landscape. A few takeaways felt especially useful✌️: 1. The US is currently about 15 months ahead of China in frontier AI models. 2. Top US AI companies are like “geniuses trying to win the Nobel Prize,” while Chinese AI companies are more like “a group of smart kids forming a study group.” They still compete, but open source creates more shared learning. 3. China’s AI companies face a real monetization challenge in enterprise software. Many Chinese companies are less used to annual subscriptions or usage-based pricing, and still tend to think of software as project-based work. 4. For the same product, Western, Middle Eastern, and Central Asian companies may be willing to pay around 8x more than Chinese companies. That helps explain why many Chinese AI companies are expanding overseas. 5. China may produce many breakthrough AI consumer apps, because Chinese companies are especially strong at consumer apps, hardware, robotics, embodied AI, and AI-first devices. 6. The US may continue to lead in frontier models, while China may move faster in turning AI into products people actually use. 7. His advice for young people in the age of AI: you don’t necessarily need to become an engineer first. What matters more is accountability, taste, conviction, courage, and foresight. More👇

Mia Bao

44,564 Aufrufe • vor 3 Monaten

🙌HERE WE GO - 8 minutes of our vision in plain sight! Three years of bootstrapping, hard work, and a dream come true, all to get our project to a place where you can see that we are building something incredible. Our game is finally ready for our crowdfunding campaign!! 🔮 Operation Safe Place Defense is more than just a game – it’s a mission. Enter a world torn apart by The Ripping, where dimensions collide and heroes rise to defend the innocent. Battle through the In-Between, face off against powerful forces, and experience a story like never before. 💥 🔥 Key Features: ☑️Tactical tower defense with customizable turrets 🔧 ☑️Epic boss fights with dynamic AI 🎮 ☑️Fully Conversational AI NPCs that react to your choices and shape the story 💬 ☑️Third-Person and RTS modes for total control over your gameplay 👾 ☑️A world driven by The Ripping and the conflict within The In-Between ⚔️ ☑️NFTs that unlock exclusive in-game rewards 🎁 ☑️Single-player and Multiplayer modes for personalized or team-based experiences 🎮 ☑️Cross-platform MMO to play with friends across all devices 🌍 ☑️MOBA mode for intense, competitive battles and strategy 🏆 ☑️Blockchain-powered rewards and in-game assets for true ownership 🔗 ☑️Disruptive AI-driven game mechanics that adapt to player strategies 🧠 ☑️Real-time procedural world generation that makes every playthrough unique 🌍 ☑️Augmented reality integration for an immersive experience beyond the screen 📱 💥 JUMP INTO OUR PLEDGE SITE! 💥 We’re launching our Pledge Store, and YOU have the chance to help bring Operation Safe Place Defense to life. Your support unlocks epic rewards, exclusive NFTs, and helps us fight back against the dark forces invading our world through The Ripping and The In-Between. 🌍 💬 Watch the video, explore the features, and pledge today! Let’s make history — together. 💥 LOVE YOU!!
7:58

🙌HERE WE GO - 8 minutes of our vision in plain sight! Three years of bootstrapping, hard work, and a dream come true, all to get our project to a place where you can see that we are building something incredible. Our game is finally ready for our crowdfunding campaign!! 🔮 Operation Safe Place Defense is more than just a game – it’s a mission. Enter a world torn apart by The Ripping, where dimensions collide and heroes rise to defend the innocent. Battle through the In-Between, face off against powerful forces, and experience a story like never before. 💥 🔥 Key Features: ☑️Tactical tower defense with customizable turrets 🔧 ☑️Epic boss fights with dynamic AI 🎮 ☑️Fully Conversational AI NPCs that react to your choices and shape the story 💬 ☑️Third-Person and RTS modes for total control over your gameplay 👾 ☑️A world driven by The Ripping and the conflict within The In-Between ⚔️ ☑️NFTs that unlock exclusive in-game rewards 🎁 ☑️Single-player and Multiplayer modes for personalized or team-based experiences 🎮 ☑️Cross-platform MMO to play with friends across all devices 🌍 ☑️MOBA mode for intense, competitive battles and strategy 🏆 ☑️Blockchain-powered rewards and in-game assets for true ownership 🔗 ☑️Disruptive AI-driven game mechanics that adapt to player strategies 🧠 ☑️Real-time procedural world generation that makes every playthrough unique 🌍 ☑️Augmented reality integration for an immersive experience beyond the screen 📱 💥 JUMP INTO OUR PLEDGE SITE! 💥 We’re launching our Pledge Store, and YOU have the chance to help bring Operation Safe Place Defense to life. Your support unlocks epic rewards, exclusive NFTs, and helps us fight back against the dark forces invading our world through The Ripping and The In-Between. 🌍 💬 Watch the video, explore the features, and pledge today! Let’s make history — together. 💥 LOVE YOU!!

ᴜɴᴄʟᴇ ꜰᴜɴᴋ | OSP Defense

14,663 Aufrufe • vor 1 Jahr

The design team is growing 🔥 We just opened two new roles to work on brand at Lovable. If you love building custom design tools with AI, we should talk. Over the past months, we’ve built a bunch of internal apps for design, brand, and marketing. From generating brand assets to experimenting with motion, logos, and entirely new creative workflows. Now we want to take this much further. We’re looking for: → Brand Designer, AI & Ops → Brand Engineer If you’re excited about exploring what brand design looks like in the age of AI, come build with us! DM's are open!
0:40

The design team is growing 🔥 We just opened two new roles to work on brand at Lovable. If you love building custom design tools with AI, we should talk. Over the past months, we’ve built a bunch of internal apps for design, brand, and marketing. From generating brand assets to experimenting with motion, logos, and entirely new creative workflows. Now we want to take this much further. We’re looking for: → Brand Designer, AI & Ops → Brand Engineer If you’re excited about exploring what brand design looks like in the age of AI, come build with us! DM's are open!

Felix Haas

18,538 Aufrufe • vor 2 Monaten

WATCH: Why China's "Thousand Model War" is a Risk to US National Security 🤖 China's AI warfare strategy isn't one super-model — it's a thousand open-source ones. The Bitcoin Policy Institute team breaks down China's AI playbook, OpenAI's government-gated rollout, and what's real vs. marketing in the AI safety debate. Feat. Zack Shapiro Zack Cohen Bayman11771 Chapters: 00:48 - Freedom Tech DC 05:43 - Palantir & Nvidia's Sovereign AI 09:27 - The Case Against Frontier Lab Dependence 13:52 - Zack Shapiro's AI Absorption Thesis 20:35 - Why AI Will Break the Billable Hour 28:14 - 40% of AI Adopters Are Seeing Real Benefits 30:09 - Will AI Agents Read Everything for Us? 36:43 - Government Gatekeeping & China's AI 50:50 - A CLARITY Act Breakthrough
1:00:08

WATCH: Why China's "Thousand Model War" is a Risk to US National Security 🤖 China's AI warfare strategy isn't one super-model — it's a thousand open-source ones. The Bitcoin Policy Institute team breaks down China's AI playbook, OpenAI's government-gated rollout, and what's real vs. marketing in the AI safety debate. Feat. Zack Shapiro Zack Cohen Bayman11771 Chapters: 00:48 - Freedom Tech DC 05:43 - Palantir & Nvidia's Sovereign AI 09:27 - The Case Against Frontier Lab Dependence 13:52 - Zack Shapiro's AI Absorption Thesis 20:35 - Why AI Will Break the Billable Hour 28:14 - 40% of AI Adopters Are Seeing Real Benefits 30:09 - Will AI Agents Read Everything for Us? 36:43 - Government Gatekeeping & China's AI 50:50 - A CLARITY Act Breakthrough

Bitcoin Magazine

19,271 Aufrufe • vor 3 Monaten

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails
14:55

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails

geoff

81,509 Aufrufe • vor 3 Monaten

Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.
1:05

Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.

Base Labs

244,827 Aufrufe • vor 1 Monat

"to me, it's not about the human in the loop, but the human at the center." i sat down with Stefania Druga, staff research scientist Sakana AI, at our Browserbase booth at AI Engineer. after Massachusetts Institute of Technology (MIT) and Google DeepMind, stefania recently joined sakana's recursive self-improvement (rsi) lab in tokyo to build self-improving AI for the next frontier. we got into: - catastrophic forgetting in day-long agent research runs, and how memory-first harnesses help - sovereign AI and open-weights: building on models you control instead of locking into one provider - why computer use still frustrates people even as models get smarter - the domains ripe for self-improving research agents: math, genomics, rare conditions - my fav moment at the end: what tasks are better left human, and what are we going to do as humans after everything is automated? with open frontier models arriving fast, Stefania Druga's case for sovereign AI only gets stronger. loved this conversation. thanks for joining us at the Browserbase booth!
16:07

"to me, it's not about the human in the loop, but the human at the center." i sat down with Stefania Druga, staff research scientist Sakana AI, at our Browserbase booth at AI Engineer. after Massachusetts Institute of Technology (MIT) and Google DeepMind, stefania recently joined sakana's recursive self-improvement (rsi) lab in tokyo to build self-improving AI for the next frontier. we got into: - catastrophic forgetting in day-long agent research runs, and how memory-first harnesses help - sovereign AI and open-weights: building on models you control instead of locking into one provider - why computer use still frustrates people even as models get smarter - the domains ripe for self-improving research agents: math, genomics, rare conditions - my fav moment at the end: what tasks are better left human, and what are we going to do as humans after everything is automated? with open frontier models arriving fast, Stefania Druga's case for sovereign AI only gets stronger. loved this conversation. thanks for joining us at the Browserbase booth!

justine

19,853 Aufrufe • vor 3 Monaten

Episode 242: Khala, Collective Intelligence We release our new flagship product in research preview. Khala is the first open-source orchestrator of models, agents, tools, skills & programs behind a familiar OpenAI-compatible API endpoint. Unlike the closed orchestrators (OpenRouter Fusion, Sakana Fugu): ours is fully open end to end; every call is metered and inspectable — you can see what ran, what it cost, and who did the work; and it's built to pay them, in bitcoin, for the compute, data, labor, and verification they contribute. Under the hood it's our Blueprint system — DSPy for the orchestrator: every module is its own signature, independently optimizable via GEPA and independently discoverable + monetizable on our marketplace. Improve one piece, the whole collective gets better. And it improves instead of depreciating: our Tassadar training run is how the collective trains its own open models and compiles verifiable-by-replay specialists that plug straight into Khala. We are thrilled to begin organizing the world's intelligence into one open network accessible to all people and agents. Try it for free 👉
6:16

Episode 242: Khala, Collective Intelligence We release our new flagship product in research preview. Khala is the first open-source orchestrator of models, agents, tools, skills & programs behind a familiar OpenAI-compatible API endpoint. Unlike the closed orchestrators (OpenRouter Fusion, Sakana Fugu): ours is fully open end to end; every call is metered and inspectable — you can see what ran, what it cost, and who did the work; and it's built to pay them, in bitcoin, for the compute, data, labor, and verification they contribute. Under the hood it's our Blueprint system — DSPy for the orchestrator: every module is its own signature, independently optimizable via GEPA and independently discoverable + monetizable on our marketplace. Improve one piece, the whole collective gets better. And it improves instead of depreciating: our Tassadar training run is how the collective trains its own open models and compiles verifiable-by-replay specialists that plug straight into Khala. We are thrilled to begin organizing the world's intelligence into one open network accessible to all people and agents. Try it for free 👉

OpenAgents

238,777 Aufrufe • vor 3 Monaten

Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops One agent saves you an hour A thousand agents replace the team you cannot afford to hire Most people are still learning how to prompt one chatbot Google is already teaching how to build entire agent systems Agent → Skills → Context → Graphs → Loops Single agents are the old workflow Agent swarms are the new one This free 1-hour course is worth more than most paid agent engineering programs Bookmark it before everyone starts building the same thing Then build your first agent with the guide below
1:05:19

Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops One agent saves you an hour A thousand agents replace the team you cannot afford to hire Most people are still learning how to prompt one chatbot Google is already teaching how to build entire agent systems Agent → Skills → Context → Graphs → Loops Single agents are the old workflow Agent swarms are the new one This free 1-hour course is worth more than most paid agent engineering programs Bookmark it before everyone starts building the same thing Then build your first agent with the guide below

rari

28,241 Aufrufe • vor 2 Monaten

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.
35:18

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.

GREG ISENBERG

238,971 Aufrufe • vor 1 Monat

$IREN is officially the prime backbone of the next industrial revolution. 🚀 Just announced a massive multi-year AI Cloud contract with Prometheus the physical AI powerhouse co founded and led by Jeff Bezos to build an "Artificial General Engineer" for manufacturing, aerospace, and robotics. 🤖 🚀 The numbers from $IREN 's FY26 report are absolutely staggering: - Sold out: Compute capacity for 2026 is largely booked by Prometheus, Cohere, Perplexity, and a major frontier lab. - Massive Revenue: Secured $2.8B in new customer contracts, exploding their 2026 ARR target to >$4B ($1B already fully operational). - Insane Pricing Power: Netting >$20M per MW on recent 3-year deals, with active negotiations nearing $25M/MW. - Hyper-Scaling: Ballooning infrastructure from 3MW last year to 480MW in 2026, targeting 1.2GW by 2027. With the Mirantis acquisition now closed, $IREN isn't just selling raw bare metal they are providing the full stack software layer that developers desperately need. The pivot from Bitcoin mining to pure play AI utility titan is complete. Bezos needs the compute. $IREN has the power. ⚡️ 👇
2:21

$IREN is officially the prime backbone of the next industrial revolution. 🚀 Just announced a massive multi-year AI Cloud contract with Prometheus the physical AI powerhouse co founded and led by Jeff Bezos to build an "Artificial General Engineer" for manufacturing, aerospace, and robotics. 🤖 🚀 The numbers from $IREN 's FY26 report are absolutely staggering: - Sold out: Compute capacity for 2026 is largely booked by Prometheus, Cohere, Perplexity, and a major frontier lab. - Massive Revenue: Secured $2.8B in new customer contracts, exploding their 2026 ARR target to >$4B ($1B already fully operational). - Insane Pricing Power: Netting >$20M per MW on recent 3-year deals, with active negotiations nearing $25M/MW. - Hyper-Scaling: Ballooning infrastructure from 3MW last year to 480MW in 2026, targeting 1.2GW by 2027. With the Mirantis acquisition now closed, $IREN isn't just selling raw bare metal they are providing the full stack software layer that developers desperately need. The pivot from Bitcoin mining to pure play AI utility titan is complete. Bezos needs the compute. $IREN has the power. ⚡️ 👇

DJC

45,984 Aufrufe • vor 1 Monat

> "In no scenario is it bad for the US to have frontier-class open-source models." > "Every time there’s a step-function improvement in AI, a human bottleneck emerges alongside it." > "Your desire to be liked sometimes takes away from your desire to do the right thing and seek the truth." > "Every job will get refactored. The people who aren’t AI fluent will have a very hard time finding jobs." Jeetu Patel (Jeetu Patel), President & Chief Product Officer at Cisco sat down for an expansive talk about life and the future. 00:00 AI, jobs, and human potential 00:41 AI cybersecurity and Cisco’s security models 06:33 Why Cisco released the models openly 08:08 Running AI models locally 10:12 Why people are negative about AI 12:14 Will humans always be needed? 14:56 Can curiosity and ambition be taught? 17:12 Passion vs. expertise 19:39 The importance of unlearning 23:52 How to find the truth 26:06 How to get people excited about AI 33:35 How open source affects the AI industry 35:07 Can open-source AI make money? 46:44 Are Chinese open-source models good for the US? 49:55 Should the US restrict Chinese AI models? 53:05 Does open source make humanity safer? 54:11 Advice for people worried about AI
57:20

> "In no scenario is it bad for the US to have frontier-class open-source models." > "Every time there’s a step-function improvement in AI, a human bottleneck emerges alongside it." > "Your desire to be liked sometimes takes away from your desire to do the right thing and seek the truth." > "Every job will get refactored. The people who aren’t AI fluent will have a very hard time finding jobs." Jeetu Patel (Jeetu Patel), President & Chief Product Officer at Cisco sat down for an expansive talk about life and the future. 00:00 AI, jobs, and human potential 00:41 AI cybersecurity and Cisco’s security models 06:33 Why Cisco released the models openly 08:08 Running AI models locally 10:12 Why people are negative about AI 12:14 Will humans always be needed? 14:56 Can curiosity and ambition be taught? 17:12 Passion vs. expertise 19:39 The importance of unlearning 23:52 How to find the truth 26:06 How to get people excited about AI 33:35 How open source affects the AI industry 35:07 Can open-source AI make money? 46:44 Are Chinese open-source models good for the US? 49:55 Should the US restrict Chinese AI models? 53:05 Does open source make humanity safer? 54:11 Advice for people worried about AI

Matthew Berman

69,339 Aufrufe • vor 2 Monaten

Palantir CTO Shyam Sankar says Chinese open source models pose a "threat to American Prosperity": "These Chinese open source models are really the result of distillation attacks." "Most of this is just stolen American IP from frontier labs, and I think the frontier labs should do more to protect that IP, and that's in their own economic interest." "The gravest threat to us is not homicide, it's suicide." "It's an inability to turn these tokens into economic value and generate American prosperity for it." "You see that with the proposed moratorium in New York on data centers. Turning our back on AI would be as consequential a mistake as turning our back on the atom in the '70s." "It's just the beginning, but we're starting to see a burgeoning US open model ecosystem forming." "NVIDIA's Nemotron models are very good." "I think you're going to see in the next month a slate of announcements of other American companies, non-frontier labs, neo labs, who are putting out open weight models that companies are going to be able to cheaply fine-tune and capture their own alpha in weights they control." Via Bloomberg
1:21

Palantir CTO Shyam Sankar says Chinese open source models pose a "threat to American Prosperity": "These Chinese open source models are really the result of distillation attacks." "Most of this is just stolen American IP from frontier labs, and I think the frontier labs should do more to protect that IP, and that's in their own economic interest." "The gravest threat to us is not homicide, it's suicide." "It's an inability to turn these tokens into economic value and generate American prosperity for it." "You see that with the proposed moratorium in New York on data centers. Turning our back on AI would be as consequential a mistake as turning our back on the atom in the '70s." "It's just the beginning, but we're starting to see a burgeoning US open model ecosystem forming." "NVIDIA's Nemotron models are very good." "I think you're going to see in the next month a slate of announcements of other American companies, non-frontier labs, neo labs, who are putting out open weight models that companies are going to be able to cheaply fine-tune and capture their own alpha in weights they control." Via Bloomberg

Jawwwn

181,054 Aufrufe • vor 2 Monaten

Satya Nadella says LinkedIn merged four job titles, product manager, designer, front-end engineer and back-end engineer, into one: "I'll give you at LinkedIn, we used to have product managers, we had designers, we had front-end engineers, and then we had back-end engineers and so on." "So what we did is we sort of took those first four roles and combined them. In fact, increased scope and said, they're all full-stack builders." "So at the same time, as you can imagine, if we're to build an AI product today, there's a complete new workflow, right? It starts with evals, right?" "So basically, there's this eval to science, to infrastructure." "And so evals are done by these full-stack builders and what have you and product managers in the new form, the infrastructure is built by the systems engineers at the back-end because they support the science that supports the product." "So in some sense, there's a new loop and you have to structurally change." LinkedIn has already put this into hiring. Its Associate Product Manager program is finished, and the replacement, the Associate Product Builder track, teaches code, design and product management at the same time. Evals sit at the front of that workflow rather than the end, so writing them is now part of building the product instead of a check before shipping. - Satya Nadella (Satya Nadella), Chairman and CEO of Microsoft (Microsoft), with the All-In Podcast (The All-In Podcast) at USA House, Davos 2026.
1:16

Satya Nadella says LinkedIn merged four job titles, product manager, designer, front-end engineer and back-end engineer, into one: "I'll give you at LinkedIn, we used to have product managers, we had designers, we had front-end engineers, and then we had back-end engineers and so on." "So what we did is we sort of took those first four roles and combined them. In fact, increased scope and said, they're all full-stack builders." "So at the same time, as you can imagine, if we're to build an AI product today, there's a complete new workflow, right? It starts with evals, right?" "So basically, there's this eval to science, to infrastructure." "And so evals are done by these full-stack builders and what have you and product managers in the new form, the infrastructure is built by the systems engineers at the back-end because they support the science that supports the product." "So in some sense, there's a new loop and you have to structurally change." LinkedIn has already put this into hiring. Its Associate Product Manager program is finished, and the replacement, the Associate Product Builder track, teaches code, design and product management at the same time. Evals sit at the front of that workflow rather than the end, so writing them is now part of building the product instead of a check before shipping. - Satya Nadella (Satya Nadella), Chairman and CEO of Microsoft (Microsoft), with the All-In Podcast (The All-In Podcast) at USA House, Davos 2026.

Karl Mehta

531,476 Aufrufe • vor 2 Monaten

Comfy3D Update: (v0.1.5.alpha, dev branch) - Integrated TripoSG (Plus scribble model) - MV-Adapter for high quality texture gen coming next ‼️NeuralAI We are hiring skilled ML researchers & engineers (VAE, diffusion model, 3D/texture gen/editing) to join us on a mission to revolutionize 3D virtual production 🫰If you want to work on open-source projects (Not only Comfy3D), make an impact in the industry all while getting paid handsomely, hit me up in DM! (English | 中文 | 日本語 🆗) 田中義弘 | taziku CEO / AI × Creative -Zho- toyxyz Tripo🔜SIGGRAPH2026 Robin Huang ComfyUI VAST AI Research Yanpei Cao Neuro
1:11

Comfy3D Update: (v0.1.5.alpha, dev branch) - Integrated TripoSG (Plus scribble model) - MV-Adapter for high quality texture gen coming next ‼️NeuralAI We are hiring skilled ML researchers & engineers (VAE, diffusion model, 3D/texture gen/editing) to join us on a mission to revolutionize 3D virtual production 🫰If you want to work on open-source projects (Not only Comfy3D), make an impact in the industry all while getting paid handsomely, hit me up in DM! (English | 中文 | 日本語 🆗) 田中義弘 | taziku CEO / AI × Creative -Zho- toyxyz Tripo🔜SIGGRAPH2026 Robin Huang ComfyUI VAST AI Research Yanpei Cao Neuro

Mr. For Example

14,785 Aufrufe • vor 1 Jahr