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We're overthinking AI businesses. 5 founders made $30k - $4.5MM using the same boring system. This year I interviewed 23 founders of ai companies to figure out what's working. The easiest way to win: help businesses implement ai. Some examples: + Branson Pfiester is a 15-year-old kid who made...

17,143 просмотров • 3 месяцев назад •via X (Twitter)

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Chris Bryant today all but admitted why the government refuses to accept legislation that makes AI companies reveal their training data: They are going to offer creators transparency legislation *later*, in return for upending copyright law & letting AI companies train on people's life's work without permission. His justification for rejecting transparency legislation: "If we're going to get to that proper compromise solution [between creators and AI companies], it's going to require all the bits of the jigsaw to be put together into a comprehensive picture." That is: if creators want to know when AI companies are using their work, they're going to have to give up their rights. There is no other way of interpreting this comment I can think of. He is saying creators can't get transparency from AI companies without giving something up. And there is nothing to give up except their current rights under the law, which compel AI companies to ask their permission before using their work. Bryant & co. have given no other reason to reject transparency legislation. AI companies are breaking the law, and government refuses to hold them to account. IMO this is awful treatment of the creative sector by the government. Commercial generative AI training on copyrighted work without a license is illegal in the UK; creators cannot enforce their rights, because training happens behind closed doors; the government won't empower creators to enforce their rights without requiring them to give up other rights. Bookmark this. I hope I'm wrong, and that this is not the government's plan - but I see no other conclusion you can draw from Chris Bryant's words here.

Ed Newton-Rex

24,097 просмотров • 1 год назад

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 просмотров • 1 год назад

It's finally here - the Official Lean AI Company Playbook 1000+ founders, investors and execs have been flooding my DMs about. Ever since I created the Official Lean AI Leaderboard after exiting my $150M annual revenue startup, founders from across the globe have asked me this one question: "How are these lean AI companies generating millions with tiny teams?" So I spent the last 3 months obsessively tracking and collaborating with 30+ lean AI-native founders, researching the answer. Here's what I discovered: They've built operational systems that multiply human capability. Instead of scaling headcount, they've created AI-powered processes that let small teams operate at unprecedented scale. And their secret goes far beyond the specific AI tools they use. It lies in redesigning their entire company operations around a fundamentally different approach to growth and execution. After countless conversations, interviews, and behind-the-scenes exclusive access, I finally documented the exact playbook with complete systems. This comprehensive playbook includes: • A complete breakdown of the tech stack and operational workflows • The organizational design principles that enable tiny teams to do massive work • Critical inflection points where things break (and how to navigate them) • A detailed 6-month implementation plan for starting your own lean AI company (with weekly actions) • Implementation best practices from dozens of successful lean AI-native companies Want the ultimate Lean AI Playbook or help transforming your Lean AI operations? 👇 • Like and Share this post • Comment "Lean AI Playbook" • Follow me (so I can DM you) --------------- PS: Separately, I'm opening a limited number of high-impact advising slots for serious founders and operators who want to work directly with me—beyond just consuming my content. If you're ready to transform how your company operates using AI, DM me. (Please note: these are paid spots due to limited availability and time atm)

Henry Shi

121,668 просмотров • 1 год назад

.Naval: The easiest way to see that AI is not taking jobs but creating opportunities is to go learn AI and then reapply for the job that rejected you. Watch how they pull you in. “My last startup, Airchat, could not have existed without AI because we needed the transcription/translation. And even the current thing I’m working on—it’s not an AI company, but it cannot exist without AI. It is relying on AI. Even at AngelList, we’re significantly adopting AI. Like everywhere you turn, it’s more opportunity, more opportunity, more opportunity. And people like to go on Twitter—or the artist formerly known as Twitter—and basically, they like to exaggerate. Like, ‘Oh my God, we’ve hit AGI.’ ‘Oh my God, I just replaced all my mid-level engineers.’ ‘Oh my God, I’ve stopped hiring.’ To me, that’s moronic. The two valid perspectives are the one-man entrepreneur shows, where there’s one guy or one gal, and they’re scaling up like crazy thanks to AI. Or there are people who are embracing AI and being like, ‘I need to hire, and I need to hire anyone who can even spell ‘AI’—anyone who’s even used AI. Just come on in, come on in.’ Again, I would say the easiest way to see that AI is not taking jobs but creating opportunities is this: go brush up on your AI, learn a little bit, watch a few videos, use the AI, tinker with it, and then go reapply for that job that rejected you. Watch how they pull you in.”

Arjun Khemani

167,746 просмотров • 1 год назад

A new way of working. And a scary one at that. Memory Store is one of a group of new kinds of AI-first companies that can turn you into a Fast Company. I’m using several of them on my desktop and they are a dramatically new way to work. It builds a memory for: 1. Your AI agents. 2. Any employee using it. 3. The company itself. I sit down with founder Diwank Singh Tomer, Diwank Singh Tomer, who both freaks me out as well as shows how AI can radically help workers as well as managers. First, why does it freak me out? Well, his AI watches nearly everything a worker does and keeps a “memory” of it. It watches your email. Your calendar. Your Slack. And a whole lot of other things. This can really freak out workers if “forced” on them. And leads to a whole new set of security issues companies need to consider before adopting these things. Such data about a company could give a competitor a HUGE advantage, if leaked. They would know how a company “thinks.” It really is a surveillance system for employees and the company itself. OK, now why would anyone ever use such a thing? Because it gives employees super powers. It makes them more productive. Shows workers a lot of things about themselves, and helps them work and stay on task. It also gives the company super powers. Institutional memory stays with the AI now, even if an employee dies or leaves. As companies move to “AI First” approaches, they will increasingly see the value in companies like Memory Store. It prepares employees for meetings. It helps them remember things. It shows them what they should be working on, and helps them do it. Memory Store builds a memory for: 1. Your agents. 2. Your company. 3. Yourself, or any employee on it. This helps all three work better together. Diwank Singh Tomer and I go in depth about what it does and how deeply it improves working at a company that deploys it. But to get the ultimate benefits you gotta convince your coworkers to use it. And your managers to approve it. Which means you have to get over your fears and get everyone you work with over theirs too. Which will be the challenge for Diwank. Luckily for him his first customers are raving about how good it is and how much his platform helped their companies. Increases sales. Makes teams more productive. Decreases errors and unnecessary costs. Which tells me everyone soon will be using systems like this. This is what the new way of working looks like. Once I got over my fears it sure is an amazing way to work. Will you try working this way?

Robert Scoble

25,975 просмотров • 3 месяцев назад