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Our Integrity solutions are too powerful to release publicly. But we're doing it anyway. After a decade of running tech interviews, we've earned a PhD in suspicious behavior. So we built three modes that catch it at every layer: browser, webcam, and desktop. Every layer keeps the candidate experience... show more

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69,849 views • 3 months ago •via X (Twitter)

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Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

Ihtesham Ali

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Homelessness cannot be solved in a day. Here are some of the short, medium, and long term problems that have gotten us here and the solutions that will help us solve it. We need every level of government to do their part in addressing this crisis. I’m doing mine, are they doing theirs?

Homelessness cannot be solved in a day. Here are some of the short, medium, and long term problems that have gotten us here and the solutions that will help us solve it. We need every level of government to do their part in addressing this crisis. I’m doing mine, are they doing theirs?

Chi Ossé

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A BIG moment for eMed. We've just raised $200M at a $2B+ valuation, and we're bringing on incredible investors and partners who believe deeply in what we're building. GLP-1s are one of the most powerful advances in medicine we've seen in humanity’s history . But they only work if people stay on them. We've built an empathic agentic AI platform that makes that happen, one that meets members where they are and guides them every step of the way. And the results speak for themselves. We're building the future of AI-powered population health. And we're just getting started. 🚀

A BIG moment for eMed. We've just raised $200M at a $2B+ valuation, and we're bringing on incredible investors and partners who believe deeply in what we're building. GLP-1s are one of the most powerful advances in medicine we've seen in humanity’s history . But they only work if people stay on them. We've built an empathic agentic AI platform that makes that happen, one that meets members where they are and guides them every step of the way. And the results speak for themselves. We're building the future of AI-powered population health. And we're just getting started. 🚀

Linda Yaccarino

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AI cannot change the world if the world cannot reach it. We are building an airborne connectivity layer for the next era of digital infrastructure, designed to extend the network above our AirNodes and below the satellites in orbit. For AirNode Operators, it means they can deploy anywhere, connect anyone. For $WMTX, it means more network, more usage. For EarthNodes, it means more data and services to run. The future needs a new layer of connectivity and that layer is World Mobile Stratospheric

AI cannot change the world if the world cannot reach it. We are building an airborne connectivity layer for the next era of digital infrastructure, designed to extend the network above our AirNodes and below the satellites in orbit. For AirNode Operators, it means they can deploy anywhere, connect anyone. For $WMTX, it means more network, more usage. For EarthNodes, it means more data and services to run. The future needs a new layer of connectivity and that layer is World Mobile Stratospheric

Micky (Mr Telecom) Watkins

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After today’s AFL-CIO Tech Institute Workers First AI Summit, one thing is clear: workers are at the center of how this technology develops. We’re not anti-tech, we’re pro-worker. AI only works when it reflects the knowledge, skill and experience of the people doing the job.

After today’s AFL-CIO Tech Institute Workers First AI Summit, one thing is clear: workers are at the center of how this technology develops. We’re not anti-tech, we’re pro-worker. AI only works when it reflects the knowledge, skill and experience of the people doing the job.

Liz Shuler

37,295 views • 3 months ago

Ilya Sutskever, the co-founder of OpenAI, on the one AI risk that grows with every jump in capability. "There are concerns around if an AGI ever becomes very, very powerful, which is possible. Maybe it will want to go rogue, being that it is an agent." "We are also doing a lot of research on addressing the technological side of things, so that the AI will never want to go rogue. And this is something which I am working on as well." The work he is describing has a name: the assurance layer. Proving a powerful, agentic system will not go rogue before you deploy it, not after. That layer does not build itself. It gets built by the labs, regulators, and insurers who agree on how to test and verify these systems. P.S. That is the entire agenda of the AI Assurance and Governance Summit. Frontier labs, regulated industries, insurers, and investors in one room at Stanford on October 1. Reserve a seat: - Ilya Sutskever (Ilya Sutskever), co-founder of OpenAI, at TED

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Karl Mehta

22,453 views • 19 days ago

Victor Wembanyama was asked in French about being a reactionary team: 🇫🇷: Hello Victor, I get the impression that there’s no team better than yours when it comes to responding after a loss and winning when your backs are against the wall. Do you agree with that and how do you explain it? What needs to happen for you to stop being a "reactionary team"—a team that only finds solutions after running into problems? Even if you're the best at it, it can be both a strength and a weakness. 👽: Definitely. I completely agree. I think it's due to both our lack of experience and our youth, especially since we're playing against experienced teams. To me, the two best examples are Minnesota and New York. They understand how fortunate they are to be in the Finals, and they know it's not guaranteed they'll ever get another chance like this. As for us, we're kind of like spoiled kids. For some of us, it's our first season—or one of our first seasons—and we're already in the Finals. We don't fully realize it yet. And to me, the team that appreciates the position we're in the most will be the one that wins. (Thanks to @ orewaddl for the translation) #GoSpursGo #PorVida

Victor Wembanyama was asked in French about being a reactionary team: 🇫🇷: Hello Victor, I get the impression that there’s no team better than yours when it comes to responding after a loss and winning when your backs are against the wall. Do you agree with that and how do you explain it? What needs to happen for you to stop being a "reactionary team"—a team that only finds solutions after running into problems? Even if you're the best at it, it can be both a strength and a weakness. 👽: Definitely. I completely agree. I think it's due to both our lack of experience and our youth, especially since we're playing against experienced teams. To me, the two best examples are Minnesota and New York. They understand how fortunate they are to be in the Finals, and they know it's not guaranteed they'll ever get another chance like this. As for us, we're kind of like spoiled kids. For some of us, it's our first season—or one of our first seasons—and we're already in the Finals. We don't fully realize it yet. And to me, the team that appreciates the position we're in the most will be the one that wins. (Thanks to @ orewaddl for the translation) #GoSpursGo #PorVida

Wemby Alien Era

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Q: Pope Leo made some comments about the war in Iran, and the conference of catholic bishops recently put out a statement suggesting that the war does not fit the requirements of just war theory. Hegseth: Pope's going to do his thing. That's fine. We know what our mission is. We know what authority we have. We're very clear about that. We follow that the orders of the president. We've got lawyers all over the place looking at what we're doing and why we're doing it, and giving us every authority necessary under our laws to execute it. So we feel very confident across the spectrum about what we're doing.

Q: Pope Leo made some comments about the war in Iran, and the conference of catholic bishops recently put out a statement suggesting that the war does not fit the requirements of just war theory. Hegseth: Pope's going to do his thing. That's fine. We know what our mission is. We know what authority we have. We're very clear about that. We follow that the orders of the president. We've got lawyers all over the place looking at what we're doing and why we're doing it, and giving us every authority necessary under our laws to execute it. So we feel very confident across the spectrum about what we're doing.

Acyn

38,709 views • 3 months ago

Zack Polanski speaking at the Bakers, Food and Allied Workers Union, "The government are very good at recognising the problems, at recognising the crisis, the supply chain issues, the energy crisis in Iran, the energy crisis from Ukraine" "But very rarely do they seem to have solutions, things to actually do about it. And when they do have solutions, rarely are they solutions of the scale we need" "So if we look at the energy crisis, for instance, we've heard recently that energy bills in this country could go up 200 pound per year, on average for a household" "That's completely unacceptable" "And far too often I don't hear the solutions from the government that are just so obvious to ramp up our investment in renewable energy to make sure that we're insulating every single home in Britain that needs it" "So it is both warm in the winter and cool in the summer as well as creating hundreds of thousands of good green jobs that could be in public sectors that could be unionised so people are paid properly and treated with dignity and, and care and to remove the subsidies from the fossil fuel companies" "The same people who are destroying our planet should not be getting subsidised by the government at a time when we're in the climate crisis" "But as you know, well it's not just an energy crisis, it's a crisis for food too. Because what we've seen in Iran or implicated by Iran is a fertiliser crisis" "We know how devastating and damaging that already is for our supply chains and for the food that we produce" "And this badly needs intervention, it badly needs help. And what did we see this government do? Well, they cut tariffs on chocolates and biscuits" "Now don't get me wrong, there is room to do this and that will provide a small relief for some families" "That's not a long term plan for UK businesses and UK food production" "That's not a Long term plan to invest in resilience and in our food supply chains, in our energy" "It's not a long term plan that takes these issues seriously, not in the next few weeks or months, but goes we need to fundamentally rethink our systems change and how we provide food security as one of the most fundamental things in our society"

Zack Polanski speaking at the Bakers, Food and Allied Workers Union, "The government are very good at recognising the problems, at recognising the crisis, the supply chain issues, the energy crisis in Iran, the energy crisis from Ukraine" "But very rarely do they seem to have solutions, things to actually do about it. And when they do have solutions, rarely are they solutions of the scale we need" "So if we look at the energy crisis, for instance, we've heard recently that energy bills in this country could go up 200 pound per year, on average for a household" "That's completely unacceptable" "And far too often I don't hear the solutions from the government that are just so obvious to ramp up our investment in renewable energy to make sure that we're insulating every single home in Britain that needs it" "So it is both warm in the winter and cool in the summer as well as creating hundreds of thousands of good green jobs that could be in public sectors that could be unionised so people are paid properly and treated with dignity and, and care and to remove the subsidies from the fossil fuel companies" "The same people who are destroying our planet should not be getting subsidised by the government at a time when we're in the climate crisis" "But as you know, well it's not just an energy crisis, it's a crisis for food too. Because what we've seen in Iran or implicated by Iran is a fertiliser crisis" "We know how devastating and damaging that already is for our supply chains and for the food that we produce" "And this badly needs intervention, it badly needs help. And what did we see this government do? Well, they cut tariffs on chocolates and biscuits" "Now don't get me wrong, there is room to do this and that will provide a small relief for some families" "That's not a long term plan for UK businesses and UK food production" "That's not a Long term plan to invest in resilience and in our food supply chains, in our energy" "It's not a long term plan that takes these issues seriously, not in the next few weeks or months, but goes we need to fundamentally rethink our systems change and how we provide food security as one of the most fundamental things in our society"

Farrukh

31,310 views • 1 month ago

It takes a lot of experience to essentially nail every higher and low on #bitcoin for weeks on every timeframe, but the ability to remain objective, and assess the data in-front of you each day makes is possible. In this video I explain exactly how I did it, and what I am looking for next $BTC

It takes a lot of experience to essentially nail every higher and low on #bitcoin for weeks on every timeframe, but the ability to remain objective, and assess the data in-front of you each day makes is possible. In this video I explain exactly how I did it, and what I am looking for next $BTC

Lucky Chart Ape

12,021 views • 1 year ago

Rachel Reid on her relationship with Connor Storrie and Hudson Williams and how the three of them were in a unique position before and after Heated Rivalry airing. "It was after the filming that we started, you know, chatting in a group chat and stuff like that, and individually over the summer. I think the three of us were in a really unique position compared to everybody else because it was like, definitely our lives were problably about to change the most. A least that's how it felt at the time, especially as we got closer and closer to the show and more and more excitement was building. The three of us were about to level up in a big way, and we kind of felt it. I don't think any of us thought it was going to level up the way it did. But yeah, it was fun. [...] We've all been very busy right now. But I think it's still nice to check in with them and just remember that in the middle of all of this, we're the same three people." 🔗

Rachel Reid on her relationship with Connor Storrie and Hudson Williams and how the three of them were in a unique position before and after Heated Rivalry airing. "It was after the filming that we started, you know, chatting in a group chat and stuff like that, and individually over the summer. I think the three of us were in a really unique position compared to everybody else because it was like, definitely our lives were problably about to change the most. A least that's how it felt at the time, especially as we got closer and closer to the show and more and more excitement was building. The three of us were about to level up in a big way, and we kind of felt it. I don't think any of us thought it was going to level up the way it did. But yeah, it was fun. [...] We've all been very busy right now. But I think it's still nice to check in with them and just remember that in the middle of all of this, we're the same three people." 🔗

Connor Storrie Updates

76,564 views • 5 months ago

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

Charles Maddock

38,357 views • 1 month ago

JD Vance just admitted the White House could take ownership of every major AI company in the US. Why? Because even governments are starting to realize the same thing: AI will create trillions in value, and at this rate, only a few Big Tech companies will benefit. Right now, billions of people are training AI every day through their data, actions, and online behavior. Yet almost all of the value flows back to a few billionaires and shareholders. That doesn't seem fair. At Action Model, we're building a different future. A people-owned AI model where those helping train it can share in the value they help create. If AI is built by the people, it should benefit the people too. Sign up to the Action Model movement and join the 500k+ users already contributing to a community-owned AI.

JD Vance just admitted the White House could take ownership of every major AI company in the US. Why? Because even governments are starting to realize the same thing: AI will create trillions in value, and at this rate, only a few Big Tech companies will benefit. Right now, billions of people are training AI every day through their data, actions, and online behavior. Yet almost all of the value flows back to a few billionaires and shareholders. That doesn't seem fair. At Action Model, we're building a different future. A people-owned AI model where those helping train it can share in the value they help create. If AI is built by the people, it should benefit the people too. Sign up to the Action Model movement and join the 500k+ users already contributing to a community-owned AI.

Action Model

19,455 views • 1 month ago

Arteta asked about Rice and the team: “Yeah, he [Rice] was immense. Him and the whole team. I just mentioned that the soul of the team, I think the manner that they go for every ball, the passion that they show in every action is remarkable, and doing it every three days at that level is so difficult.” 🎙️ Alex Howell

Arteta asked about Rice and the team: “Yeah, he [Rice] was immense. Him and the whole team. I just mentioned that the soul of the team, I think the manner that they go for every ball, the passion that they show in every action is remarkable, and doing it every three days at that level is so difficult.” 🎙️ Alex Howell

Connor Humm

44,518 views • 4 months ago

Marc Andreessen worked at IBM at the peak of their power. There were 12 layers of management between him as an intern and the CEO. He describes what that meant: if one layer lies to the layer above it, maybe that's okay. Two or three layers, the lies compound. Six layers, they really compound. Twelve layers... The CEO has absolutely no idea what's happening inside his own company. IBM even had a name for it. They called it the Big Gray Cloud, the cloud of men in gray suits that followed the CEO everywhere and made it physically impossible for him to ever talk to someone actually doing the work. "It was like a visit from the king. The king and the traveling court. A completely impervious bubble." That company controlled 80% of tech. Then it didn't. Elon looked at that model and built the opposite. The most dangerous thing in a large organization isn't incompetence. It's the distance between the truth and the top.

Marc Andreessen worked at IBM at the peak of their power. There were 12 layers of management between him as an intern and the CEO. He describes what that meant: if one layer lies to the layer above it, maybe that's okay. Two or three layers, the lies compound. Six layers, they really compound. Twelve layers... The CEO has absolutely no idea what's happening inside his own company. IBM even had a name for it. They called it the Big Gray Cloud, the cloud of men in gray suits that followed the CEO everywhere and made it physically impossible for him to ever talk to someone actually doing the work. "It was like a visit from the king. The king and the traveling court. A completely impervious bubble." That company controlled 80% of tech. Then it didn't. Elon looked at that model and built the opposite. The most dangerous thing in a large organization isn't incompetence. It's the distance between the truth and the top.

Founder Mode

220,034 views • 3 months ago

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

Bahdfella™ ❤️‍🔥

36,089 views • 29 days ago

📣 BIG NEWS: We're launching our first synthetic show at Every 📧: TLDR. TLDR is a 3-5 minute AI-generated podcast that quickly catches you up on meetings you missed at your company. It takes any meeting recording and turns it into short, compelling (and sometimes 🌶️!) recap. It’ll tell you key decisions that were made and action items taken. It replays short clips of key moments from the meeting so you can skip the small talk and quickly catch up what’s going on at your company—hands-free. How synthetic shows work Every 📧 In the past, our writers and producers wrote and edited every story and podcast we published. Instead, with a synthetic show, they pour everything they know about making great podcasts into the prompts that become the show. Then, you bring the raw material—your company’s communications. Together, we make a story. It’s a way for us to spread Every’s storytelling to any business in the world. We believe every company has an epic story—and synthetic shows can tell yours. TLDR is an experiment, but if it works, we’ll produce more shows about your company for both internal and external consumption: Think Sunday strategy deep dives, How It’s Made-style explainers, or Acquired-style histories. Listen to our internal Every TLDR: We want you to get a sense of what TLDR is, so we’re making our internal Every TLDR available publicly for you to listen to. It tells the story of our weekly Every Studio standup where all of our entrepreneurs in residence (including Naveen Naidu, the Every 📧 entrepreneur in residence who built TLDR) meet to discuss what they’re working on. Listen to the first Every TLDR in this post—or listen to the whole 5-episode series on YouTube, Spotify, or Apple Podcasts.

📣 BIG NEWS: We're launching our first synthetic show at Every 📧: TLDR. TLDR is a 3-5 minute AI-generated podcast that quickly catches you up on meetings you missed at your company. It takes any meeting recording and turns it into short, compelling (and sometimes 🌶️!) recap. It’ll tell you key decisions that were made and action items taken. It replays short clips of key moments from the meeting so you can skip the small talk and quickly catch up what’s going on at your company—hands-free. How synthetic shows work Every 📧 In the past, our writers and producers wrote and edited every story and podcast we published. Instead, with a synthetic show, they pour everything they know about making great podcasts into the prompts that become the show. Then, you bring the raw material—your company’s communications. Together, we make a story. It’s a way for us to spread Every’s storytelling to any business in the world. We believe every company has an epic story—and synthetic shows can tell yours. TLDR is an experiment, but if it works, we’ll produce more shows about your company for both internal and external consumption: Think Sunday strategy deep dives, How It’s Made-style explainers, or Acquired-style histories. Listen to our internal Every TLDR: We want you to get a sense of what TLDR is, so we’re making our internal Every TLDR available publicly for you to listen to. It tells the story of our weekly Every Studio standup where all of our entrepreneurs in residence (including Naveen Naidu, the Every 📧 entrepreneur in residence who built TLDR) meet to discuss what they’re working on. Listen to the first Every TLDR in this post—or listen to the whole 5-episode series on YouTube, Spotify, or Apple Podcasts.

Dan Shipper 📧

25,519 views • 1 year ago

Agentic advertising isn't possible without a single source of truth. Every agent, every trade, every settlement has to resolve against the same record, or the whole thing collapses back into the mess we're leaving behind. Sui and Walrus 🦭/acc are how we get there. The settlement layer and the data layer that make agent-to-agent advertising actually workable at scale. Labs is the community heart of all of this. Built with you, and the best part is still ahead.

Agentic advertising isn't possible without a single source of truth. Every agent, every trade, every settlement has to resolve against the same record, or the whole thing collapses back into the mess we're leaving behind. Sui and Walrus 🦭/acc are how we get there. The settlement layer and the data layer that make agent-to-agent advertising actually workable at scale. Labs is the community heart of all of this. Built with you, and the best part is still ahead.

Alkimi

10,844 views • 1 month ago

Our Customer Support team gets thousands of questions a week. So we built a Custom Agent to help. It searches everything, responds with citations, and gets the team to the right answer fast. When it can't find one, it files a task so we can document the gap. And next time, it knows. Here's how we built it:

Our Customer Support team gets thousands of questions a week. So we built a Custom Agent to help. It searches everything, responds with citations, and gets the team to the right answer fast. When it can't find one, it files a task so we can document the gap. And next time, it knows. Here's how we built it:

Notion

16,506 views • 4 months ago