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"The uncrewed #MQ28 platforms & digital versions have now completed 150 hours and 20,000+ hours of virtual testing. The Capability Demonstration 2025 missions were completed in early June, four months ahead of schedule, and validated: 🔸Autonomous behaviors & mission execution 🔸Multi-ship operations 🔸Deployment operations (RAAF Tindal) 🔸Teaming with an...

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$NBZ Airdrop🪂 - Are you holding NinjaBlazeApp NFT? 📸Snapshot of all ninjas holding Ninja Blaze NFTs eligible to receive $NBZ Airdrop taken - $INJ Block: 100538025 or Jan 1st 2025, 00:00:00 UTC $NBZ Airdrop 🪂 eligibility so far: 🔸Ninja Blaze NFT Holders 🔸Ambassadors 🔸Injective 🥷 users who tried Ninja Blaze platform on Mainnet Airdrop details, additional eligibility criteria, and checker coming later in January. What is Ninja Blaze? 🔸Ninja Blaze is a decentralized multi-chain gaming platform powered by Injective Blockchain that provides access to exclusive games based on smart contracts. More than 20,000 users have already tried the platform and immersed themselves in the exciting world of the blockchain gaming revolution. Ninja Blaze Stats 🔸Player: 20k+ 🔸Games played: 410k+ 🔸Tx: 1.7M 🔸Game volume: ~ 112.5K $INJ 🔸Over 5,000 holders possess Ninja Blaze NFTs and are actively forming DAOs by participating in voting and marking the direction of the project. 🔸🔸Stake $INJ with our Sponsor Cosmos | Everstake and be eligible for potential future Airdrops. 🔸🔸 Tokenomics 🔸DAO Treasury: 20% 🔸Team: 20% vesting 4 years 🔸Public Token Sale: 20% January 23rd, 2025 🔸NFT Holders: 5% 🔸Community: 35% vesting 4 years ➡️Builder program: 25% ➡️ Partner: 5% ➡️Player incentives: 5% Kudos to Blue Collar Crypto for the tag on this - thank you friend 🤝 NFA! DYOR! 🔗Links ➡️Web: ➡️Discord: ➡️TG: 🫡

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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 a way. This isn't just a post; it's my contribution to a future where humans and AI grow together. 🔸We’re entering a world where machines generate knowledge, but rarely understand its source. 🔸Perle Labs is building a system where AI learns from real human knowledge instead of random or low quality data. 🔸You complete simple tasks like labeling reviewing or correcting data, and every action is recorded onchain as proof of your work. 🔸Your effort builds a visible reputation, which helps you access better tasks and higher rewards over time. 🔸Over 50,000 people are already contributing with more than 1.7 million tasks completed across the platform. 🔸This creates a model where humans stay important in AI and your input becomes a real digital asset. 🔸Perle Labs anchors AI back to human insight through verified data and onchain reputation. Making contribution not just useful, but permanent. How to Participate 👇 1. Join Perle’s discord via this link 2. Post an original tweet on X (text, meme, image, or video or anything ) I have made a art with my leg 🦵 art to express my gratitude ) 3. Include the hashtags: #PerleAl + #ToPerle 4. End your tweet with: "- participating in Perle Labs community campaign" 5. Submit your entry → I wish my best luck to all the participants let's support each other and win big . I will be sharing how you can be easily be in top 50 position 🤑in my next post Glad to mention I am "- participating in Perle Labs community campaign "

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A third of Palantir's PMs go on to start their own company, and their alumni have gone on to start nine unicorns—the highest rate of any company in the world other than PayPal. I spoke with Nabeel S. Qureshi to understand why. Nabeel spent nearly eight years at Palantir, working as a forward-deployed engineer. His work at Palantir ranged from accelerating the COVID-19 response to applying AI to drug discovery to optimizing aircraft manufacturing at Airbus. He's also a founder, writer, researcher, and visiting scholar of AI policy at the Mercatus Center (alongside tylercowen). In our conversation, we discuss: 🔸 How the “forward-deployed engineer” model works and why it creates exceptional product leaders 🔸 How Palantir transformed from a “sparkling Accenture” into a $200 billion data/software platform company with more than 80% margins 🔸 The unconventional hiring approach that screens for independent-minded, intellectually curious, and highly competitive people 🔸 Why the company intentionally avoids traditional titles and career ladders—and what they do instead 🔸 Why they built an ontology-first data platform that LLMs love 🔸 How Palantir’s controversial “bat signal” recruiting strategy filtered for specific talent types 🔸 The moral case for working at a company like Palantir 🔸 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: 🏆 Attio—The powerful, flexible CRM for fast-growing startups: 🏆 OneSchema—Import CSV data 10x faster:

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Peter Deng (Peter Deng) is the most impactful product leader you've never heard of His resume: - VP of Consumer Product at OpenAI - First Head of Product at Instagram - Head of Rider at Uber - CPO at Airtable - Fourth PM at Facebook - Head of Product at Oculus 👉 Meta Quest - Now, GP at Felicis Amongst other things, he helped build the current Facebook newsfeed and the standalone Messenger app, ChatGPT's voice, memory, and custom GPTs, Instagram's content sharing, ads, and early growth, many of Uber's new product lines, and Airtable's transition to enterprise. Peter has never done a podcast before or shared any of these stories publicly, so you're in for a real treat. Listen now 👇 • YouTube: • Spotify: • Apple: Inside: 🔸 Why AGI won't kill your job 🔸 Peter’s technique for hiring superstars 🔸 Why your product (probably) doesn’t matter 🔸 Why you don’t need a tech breakthrough to build a huge business 🔸 The five PM archetypes 🔸 A formula for managing up 🔸 Counterintuitive lessons on growing products from 0 to 1, and 1 to 100 🔸 The importance of data flywheels and workflows 🔸 So much more Don't miss this one. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Pragmatic Institute (formerly Pragmatic Marketing) — Industry‑recognized product, marketing, and AI training and certifications: 🏆 Contentsquare — Create better digital experiences:

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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:

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NewRulesGeopolitics

24,477 次观看 • 1 个月前

There is no such thing as "prompt search volume." If you're paying for it, you're wasting your money. I've actually looked at a bunch of data samples from clickstream providers who track what people type into ChatGPT. Can you guess what I saw? Multi-sentence paragraphs spanning multiple topics, dictated rambles with assignments, rather than searches and follow-up questions that make no sense without previous messages. …and then there’s personalization, which further messes up the input that AI chatbot actually gets. Bottomline: Deriving any meaningful “search volumes” out of that mess is no better than guessing. But is that data even important for tracking your AI visibility? That’s the question I asked Dan Petrovic DEJAN on the latest episode of Ahrefs Podcast. Dan runs the reputable “AI Influence” agency called DEJAN AI and he is one of the most respected (and positively nerdy) figures in SEO, who’s been at the forefront of the industry for more than 15 years. Here's what else we covered with Dan: 🔸 Why LLMs.txt is mostly pointless. 🔸 Why LLMs reject Reddit content over 90% of the time 🔸 What is “primary bias” and “secondary bias” of AI models 🔸 Which search indexes do ChatGPT, Claude, and Gemini rely on 🔸 The "Trojan horse method" for getting into LLM citations fast. 🔸 How Dan tests on-page changes with an agentic loop 🔸 What to actually track instead of prompt volumes. 🔸 How to generate the right prompts for AI visibility measurement. Watch full episode here 👇 YouTube: (also on Apple podcasts & Spotify)

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46,355 次观看 • 18 天前