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Huge opportunity for creators right now Why Perle Labs got my attention 👀 🔸PerleLabs just dropped a campaign with $55K up for grabs across 400 winners. 🔸I spent hours poured into this piece 🎨 creating art with my feet 🐾 to show that no matter the challenge, creativity finds...

41,009 görüntüleme • 4 ay önce •via X (Twitter)

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NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

Lenny Rachitsky

75,439 görüntüleme • 1 yıl önce

Limited effort Points program from Sandwatch on Solana that _may_ get you eligibility for $WATCH Airdrop 🪂 - no grind. 1⃣Login with Phantom or other $SOL Wallet 2⃣Enter Seat code: 86779D 3⃣Confirm Tx 4⃣Select your Username 5⃣Pick "Basic Seat" 6⃣All set - you can now complete other tasks You start to earn Popcorn Points right away, and they just keep accumulating. You can do other simple tasks (Follow on X, join Discord, etc). From Team's FAQ: Ser, Roadmap? 🔸We are building a fully-fledged AI media platform, built for Solana. That's all we can tell you for now… More soon. The $WATCH token will be launched at the end of the Sandwatch Season 1 Popcorn Campaign. Make sure to secure the best seat and enjoy the Token Premiere with a lot of popcorn. 🔸🔸Stake $SOL with our Sponsor Cosmos | Everstake. 🔸🔸 What is Sandwatch? 🔸A new kind of Streaming Site - Web3 style. A platform that makes it easy for creators and the community to create and enjoy high quality movies and shows. Sandwatch takes the power of Solana to create a transparent environment, allowing everyone to create, consume and get rewarded. What are Popcoron Points? 🔸Popcorn Points allow you to be an active part of the ecosystem before the $WATCH Token Launch. What are Seats? 🔸Seats give you access to Sandwatch Season 1 and whitelist you for the Platform. The better seat you have, the better your experience within the Sandwatch ecosystem. 🔗Links ➡️Web: ➡️Discord: 🫡

Grey Ledger

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How a 22-year-old dyslexic dropout created the fastest revenue-growing business in history—$1M to $500M in just 17 months. Brendan (can/do) discovered that AI labs were facing a critical bottleneck: they needed human experts to create "evals"—tests that teach models what correct looks like. His company Mercor began connecting labs with lawyers, doctors, engineers, and other specialists to create evals and training data for models (for $95-500/hour). Today, Mercor works with 6 of the Magnificent 7, all top 5 AI labs, has never had a customer churn, and has a net revenue retention of 1,600%. In my conversation with Brendan, we discuss: 🔸 Why evals have become the primary bottleneck for AI progress 🔸 How exactly Mercor grew to $500M revenue in 17 months 🔸 Brendan’s meeting with xAI that changed his company’s trajectory 🔸 Which skills and jobs will be most valuable as AI continues to advance (hint: jobs with “elastic” demand) 🔸 Why Brendan believes AGI and superintelligence are not happening anytime soon 🔸 The three unique core values that drove Mercor’s success 🔸 How Harvard Lampoon writers are making Claude funnier Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Atlassian Jira Product Discovery—Atlassian's new prioritization and roadmapping tool built for product teams: 🏆 Enterpret—Transform customer feedback into product growth:

Lenny Rachitsky

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🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN

OptimAI Network

44,349 görüntüleme • 1 yıl önce

Zero to $50M in 4 months. $100M+ in 12 months. That's the story of how Handshake discovered they were sitting on AI's most valuable resource: 20 million students and experts. For a decade, Garrett Lord built a career network for students and PhDs. A great business, growing well. Then AI happened. Last Christmas, Garrett realized his network of 500,000 PhDs and 3 million master's is exactly what frontier AI labs desperately needed to train their models. He flew around the country during the holidays, talked to lab leaders, and launched a new business inside his existing company. Eight months in, they now work with all 7 major frontier AI labs and have become one of the fastest-growing businesses in Silicon Valley history. In our conversation, Garrett shares: 🔸 How Handshake found this opportunity 🔸 Why AI models need human experts (e.g. physics PhDs) to improve 🔸 What this “data labeling” actually involves 🔸 Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter 🔸 The playbook for building a startup inside a startup: separate teams, separate offices, separate everything 🔸 Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity 🔸 Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit — Cut code review time and bugs in half. Instantly: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows: 🏆 Anthropic — The AI for problem solvers and enterprise:

Lenny Rachitsky

197,252 görüntüleme • 11 ay önce

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

314,081 görüntüleme • 1 yıl önce

Everyone's talking, reading, or writing about how much is changing in how we build products in the future, but very few people have actually experienced what the most cutting edge tools are capable of. In a new series on my podcast, I'm going to sit down with the founders of the most advanced product development tools to live demo what these tools can do, and then talk about the implications of this on product people's careers and lives. To kick things off, I sat down with Amjad Masad (Amjad Masad), co-founder and CEO of Replit ⠕, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. In our conversation, Amjad shares: 🔸 A live demo of Replit building a full-stack web app from a text prompt 🔸 The implications of AI-powered development for product managers, designers, and engineers 🔸 What skills will matter more, and less, in the future 🔸 How this might reshape companies and careers 🔸 Why being “generative” will become an increasingly valuable skill 🔸 “Amjad’s law” and how learning to debug AI-generated code is becoming ever more valuable 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 — A global leader in digital identity verification: 🏆 @LinkedInMktg — Reach professionals and drive results for your business:

Lenny Rachitsky

81,955 görüntüleme • 1 yıl önce

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Lenny Rachitsky

250,455 görüntüleme • 9 ay önce

✨Star Atlas Crew - Solana's Next Generation Of PFPs 🚀 Crew are the foundation for all activities within the Star Atlas metaverse !🌌 Who's ready for a Star Atlas Crew Airdrop?!? Currently Known Info On Star Atlas Crew:🧐 🔸Crew will be coming in the form of Crew Packs 🔸Crew will also be a PFP 🔸Players will be airdropped Crew Packs for the amount of crew slots their ships have at the time the snapshot is taken 🔸The snapshot has not been taken yet 🔸1 Crew member for each crew slot 🔸You will be able to buy crew packs 🔸There will be a way to get 1 free crew member when players download the Companion App 🔸The first wave of crew members airdropped to players will be primary MUD 🔸In the future ships will not come with crew 🔸There are chances of anomaly level crew members in future packs 🔸Players can onboard by getting a level 0 crew member for free, after leveling it up, if the player wants to sell or trade the crew, or get into the economy the player will have to mint the crew member/s 🔸Crew will upgrade Star Atlas into a Role-Playing-Game as you can play with every crew member 🔸Universal crew rewards 🔸Mobile Crew XP 🔸Crew members have different: Personalities, back stories, aptitudes, rarities, levels 🔸Every crew member will have their one backstory that's based on where they were born within the Galia Expanse lore, events, planets, political groups, where & who they trained under... 🔸Rarity is tied to the aptitudes 🔸The level rarity of a crew member applies to how well they will perform their assigned roles 🔸Crew members' will have unique personalities and traits based off the Ocean methodology (timeline unknown). 🔸Personalities will impact future game mechanics and are categorized into 5 major traits of the human condition: ▪️Openness to experience ▪️Conscientiousness ▪️Extraversion ▪️Agreeableness ▪️Neuroticism 🔸Getting the correct crew, with every different species, with traits and personalities that work well with one another could give ships additional buffs 🔸7 aptitudes (crew inclinations) apply to 14 different roles 🔸Different buffs for different roles based on crew members aptitude (flight aptitude = buff for flight roles) 🔸Major & minor aptitudes are linked with crew member rarity and quality 🔸Aptitudes will significantly improve how the crew member will perform and how fast they improve in the areas where they have an aptitude in game 🔸Crew members don't get weapons for free but this is tied to the crew app 🔸Move to progress your crew member training and getting items, weapons and accessories that will influence crew stats in-game To hear 👆 information for yourself watch/listen to the latest Atlas Brew: Star Atlas' closed access release 2.1.9 is Now Live!🚀 #WeAreStarAtlas #Solana #Gamefi #P2E #NFTs #Crypto #StarCitizen #Starfield #Web3gaming #UE5 ⚠️Be aware that all information above is subject to change 📽️Majority of video footage is from my own live gameplay

Siggy

45,438 görüntüleme • 2 yıl önce

My upcoming release of "Cinematic AI" has made me think about how bodies of work are formed. I think some are manifested and some are revealed. I think "Cinematic AI" falls into the latter category. It was not something I had a clear vision for and then created, but it was something that was revealed to me over time. I thought I saw a glimmer of it early on, but only after some time had past, could I see the body of work emerge. With a bit more context and watching great artists and how they work and think, it finally came to me that this series of 15-20 pieces that I had created could be a worthy collection to mint. AI art has been going through so many transformations from the early GAN work to Collaborative AI to now AI being widely accessible through platforms like MidJourney, Stable Diffusion, and many others. But one area that I have seen explode in recent months is cinematic AI. I distinguish this from animated AI, which has been around for a while, but cinematic AI is where the movements created by AI are getting closer to what you'd see in a movie or captured on a video camera. It still has a long way to go but it is getting more real than surreal as the technology develops. And this is where I seem to have found my groove, my home, my little corner in the artistic landscape. After Runway launched their image-to-video tool, it just blew my mind and I went down a deep rabbit hole and have created a new cinematic AI piece almost every other day for the past few months. I initially saw many of these pieces as just experiments, but with some time to reflect, I am seeing them as having the potential of being relevant pieces of artwork to mark this time in the development of AI. In some cases, I'm not sure if I'll ever be able to create a similar piece again, since the tools I use are not in my control, but in the control of the AI platforms, who are constantly improving and evolving the tools. Given all of this, there is no better way to mark my place in time than on the blockchain. I truly believe that this body of work has the potential to be an important artifact of this era in AI and AI art. It is always hard to judge ones own work, but what I can do is permanently etch in time on an immutable public database saying that I created this. Only time will tell if the work has any value or is of any significance, but who created it and what was created cannot be disputed. I hope this gives you and especially collectors some perspective on the work I'll be releasing next week. I'm still very early in my artistic journey, but hopefully some of you will see promise in what I'm doing and maybe even put in a early bet on my art practice by bidding on a piece next week. Thanks to all of you who have supported me, taught me, advised me, been a friend to me. Much love and respect.🙏 ------------------------------------- CINEMATIC AI October 25, 2023 Marking on the blockchain, establishing historical provenance for a cinematic AI body of work. Minting on Transient Labs ERC-721TL Listing on SuperRare

Chikai

21,517 görüntüleme • 2 yıl önce