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Our AI in Design case study featuring Linear is live! A couple things stood out to me right away as we were talking to Karri Saarinen and team about how they use AI in their flow - 1. They go waaay deeper with AI before doing any work that... most teams would categorize as “design” though they rightfully see it as a key part of the design process. This means asking AI for info on how a UI came to be, who has worked on it historically, why a certain change might work or not, etc. They really use AI to deeply understand the problem they’re about to tackle. 2. The way they use AI within Linear gives them a crazy advantage. Imagine asking something like: “What designer has touched this feature in the last 5 years and why does it work the way it does?” Good luck getting a good answer for this at most companies. At Linear they have all that context IN Linear… it’s a huge advantage they have and one they utilize to no end. This approach is an incredible way to save unnecessary iterations and ensure you’re building a product that’s moving the company in the right direction. Lots more great insights and examples in the full case study here -show more

Ben Blumenrose

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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?

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 Aufrufe • vor 3 Monaten

Juicebox. A 5-minute dark-comedy-horror film. The world ended and then it got weirder. Here's something nobody wants to say out loud: prompting is a bad way to work if you actually know how to make a film. Our team (Hridaye, Pavitra, and Arnav) has been making films for over a decade and the last couple of years with AI. They spent years building an eye, building taste, building their instinct. Then they were made to sit in front of a tool throwing prompts at it a thousand times hoping one would stick. Rolling dice. Praying. Re-rolling. This was the first time it didn't feel like that for them. They gave a direction, it landed. They changed their mind, it remembered why. The team truly worked the way it would work on a set, making decisions, not gambling. This one's written and directed entirely with Agent One. In their words: "it didn’t feel like a tool, but more like a crew member."

Juicebox. A 5-minute dark-comedy-horror film. The world ended and then it got weirder. Here's something nobody wants to say out loud: prompting is a bad way to work if you actually know how to make a film. Our team (Hridaye, Pavitra, and Arnav) has been making films for over a decade and the last couple of years with AI. They spent years building an eye, building taste, building their instinct. Then they were made to sit in front of a tool throwing prompts at it a thousand times hoping one would stick. Rolling dice. Praying. Re-rolling. This was the first time it didn't feel like that for them. They gave a direction, it landed. They changed their mind, it remembered why. The team truly worked the way it would work on a set, making decisions, not gambling. This one's written and directed entirely with Agent One. In their words: "it didn’t feel like a tool, but more like a crew member."

Invideo

12,947 Aufrufe • vor 2 Monaten

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "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, and watch how they pull you in."

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "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, and watch how they pull you in."

The All-In Podcast

164,045 Aufrufe • vor 1 Jahr

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

The Peel

209,752 Aufrufe • vor 1 Jahr

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 Aufrufe • vor 1 Jahr

#WATCH | Delhi | Alexandr Wang, Chief AI Officer of Meta, says, "Across India, creators use our AI to automatically translate reels into the language of the person watching. Small businesses talk to customers through WhatsApp business agents that they create in 10 minutes on their phones, and they use our Gen AI tools to create ads and reach customers way more efficiently than they ever could before. India has world-class developers building genius things to solve societal challenges...People use our AI right here, right now. They're getting value from it and they're building amazing things with it. That gives us confidence about what we're building towards. We're releasing new models this year with the first coming in the next couple of months. These will be deeply integrated with our products in a way we're really excited about. We're optimistic about the trajectory we're on..." (Source: India AI)

#WATCH | Delhi | Alexandr Wang, Chief AI Officer of Meta, says, "Across India, creators use our AI to automatically translate reels into the language of the person watching. Small businesses talk to customers through WhatsApp business agents that they create in 10 minutes on their phones, and they use our Gen AI tools to create ads and reach customers way more efficiently than they ever could before. India has world-class developers building genius things to solve societal challenges...People use our AI right here, right now. They're getting value from it and they're building amazing things with it. That gives us confidence about what we're building towards. We're releasing new models this year with the first coming in the next couple of months. These will be deeply integrated with our products in a way we're really excited about. We're optimistic about the trajectory we're on..." (Source: India AI)

ANI

11,558 Aufrufe • vor 5 Monaten

Derrick Milano about working with BTS 🙏🧎‍♀️ ‘The biggest part for me working with them is just really like, they really love creating music. It doesn't seem like they're in it for the money. It doesn't seem like they're in it for clout. It seems like they really genuinely and passionately love music. I think we need to see that more because it's a gift from God that we have and we can't take it for granted because at any point in time it can get taken away. So when you do have the opportunity and the luxury and you do have the pleasure to work with amazing people and you're able to put this stuff out, take advantage of it, and I think THEY take advantage of it to the fullest extent, from their music videos to the performance to the recording to the engineering to who they collaborate with. They use it to the fullest extent, and I think that's why it's so receptive and it's performing the way it is, because they go above and beyond for their work and their process and their product.’

Derrick Milano about working with BTS 🙏🧎‍♀️ ‘The biggest part for me working with them is just really like, they really love creating music. It doesn't seem like they're in it for the money. It doesn't seem like they're in it for clout. It seems like they really genuinely and passionately love music. I think we need to see that more because it's a gift from God that we have and we can't take it for granted because at any point in time it can get taken away. So when you do have the opportunity and the luxury and you do have the pleasure to work with amazing people and you're able to put this stuff out, take advantage of it, and I think THEY take advantage of it to the fullest extent, from their music videos to the performance to the recording to the engineering to who they collaborate with. They use it to the fullest extent, and I think that's why it's so receptive and it's performing the way it is, because they go above and beyond for their work and their process and their product.’

Lore ⊙⊝⊜ ᴀʀɪʀᴀɴɢ

27,070 Aufrufe • vor 4 Monaten

Linear CEO Karri Saarinen says some companies are using "friction forms" to help engineers break through bureaucracy and get new AI tools approved faster: "There are a lot of companies where employees ask, 'Can I use agents?' and they say, 'No, you can’t.' And they don’t really have a reason for it, or they say, 'We have to evaluate it,' and that evaluation takes months." "This has to change. The industry is moving so fast, so you cannot have month-long, multi-month processes to evaluate every single new tool. I think the security standpoint is valid, but you have to figure out a new way to think about security and not just block new tools." "One hack I’ve seen at some companies is that they have this friction form. So engineers who feel friction and want to use new tools or AI file a friction form, and that escalates it to higher leadership. Then it makes an SLA that has to be resolved in a week or 10 days." "And so you force the hand of procurement, IT, and security people to do something about it. Because the incentive a lot of times in these jobs is that you don’t want to rock the boat, so you don’t want to change things if you don’t have to."

Linear CEO Karri Saarinen says some companies are using "friction forms" to help engineers break through bureaucracy and get new AI tools approved faster: "There are a lot of companies where employees ask, 'Can I use agents?' and they say, 'No, you can’t.' And they don’t really have a reason for it, or they say, 'We have to evaluate it,' and that evaluation takes months." "This has to change. The industry is moving so fast, so you cannot have month-long, multi-month processes to evaluate every single new tool. I think the security standpoint is valid, but you have to figure out a new way to think about security and not just block new tools." "One hack I’ve seen at some companies is that they have this friction form. So engineers who feel friction and want to use new tools or AI file a friction form, and that escalates it to higher leadership. Then it makes an SLA that has to be resolved in a week or 10 days." "And so you force the hand of procurement, IT, and security people to do something about it. Because the incentive a lot of times in these jobs is that you don’t want to rock the boat, so you don’t want to change things if you don’t have to."

TBPN

15,799 Aufrufe • vor 4 Monaten

.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."

.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."

Box

1,904,830 Aufrufe • vor 4 Monaten

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

Misha

27,481 Aufrufe • vor 1 Jahr

Cheryl Reeve on the trans sports bans from her perspective of being a leader in women’s sports “Of course it weighs on me, the attacks on trans people, the attacks that they’ve gone through… it seems like it’s got way more aggressive, it’s sort of sickening when the issues they are trying to tackle are really not issues, the number of transgender athletes they are now making laws for and creating a problem, to get elected…what I’m hopeful for is that people have gotten themselves more educated and they understand that, that’s not actually a problem… exclusion is never the answer, separate isn’t equal, and trans lives matter, so to take away something that’s so valuable that sports brings to young people in particular and what it does, as I have a youngster, encourages you to be part of a team and what it gives you in terms of teamwork, leadership, competitiveness, all the things, they have every right to that as well”

Cheryl Reeve on the trans sports bans from her perspective of being a leader in women’s sports “Of course it weighs on me, the attacks on trans people, the attacks that they’ve gone through… it seems like it’s got way more aggressive, it’s sort of sickening when the issues they are trying to tackle are really not issues, the number of transgender athletes they are now making laws for and creating a problem, to get elected…what I’m hopeful for is that people have gotten themselves more educated and they understand that, that’s not actually a problem… exclusion is never the answer, separate isn’t equal, and trans lives matter, so to take away something that’s so valuable that sports brings to young people in particular and what it does, as I have a youngster, encourages you to be part of a team and what it gives you in terms of teamwork, leadership, competitiveness, all the things, they have every right to that as well”

Andrew Dukowitz

1,434,669 Aufrufe • vor 29 Tagen

i'm tired of AI tools for the frontend that don't actually work like I need AI needs to have knowledge of my own components, design systems, etc - and use them we're about to change this in a big way... claim your ticket to not miss out:

i'm tired of AI tools for the frontend that don't actually work like I need AI needs to have knowledge of my own components, design systems, etc - and use them we're about to change this in a big way... claim your ticket to not miss out:

Steve (Builder.io)

31,215 Aufrufe • vor 2 Jahren

Karmelo Anthony’s parents are the reason their son is going to spend 17.5 years in prison. They have no one to blame but themselves. Black people know how to use the system and we use it all the time and that’s what they’re doing and it cost their son. As a mother of FOUR black sons I could have never handled this case the way they did!

Karmelo Anthony’s parents are the reason their son is going to spend 17.5 years in prison. They have no one to blame but themselves. Black people know how to use the system and we use it all the time and that’s what they’re doing and it cost their son. As a mother of FOUR black sons I could have never handled this case the way they did!

Sam’sFamReacts

91,888 Aufrufe • vor 1 Monat

There’s a loud argument being made right now that great companies are built through longer hours and more office time. Linear is a compelling counterexample. They're remote-first. They don't treat hustle culture as a badge of honor. And they're building one of the most admired product companies in the world. In my conversation with Linear COO Cristina Cordova, she put it simply: It’s not about whether you ship more. It’s whether you ship the *right* things. That sounds obvious, but in the SF tech world right now, it's countercultural. Cristina’s point is that companies need to understand what makes them different, then execute on that advantage. For Linear, the advantage is focus. As one of the fastest-growing enterprise SaaS companies in the world, Linear is clearly not arguing for lower ambition. They're arguing for a more disciplined path to high performance. Watch our full conversation now on Below the Surface or listen wherever you get podcasts.

There’s a loud argument being made right now that great companies are built through longer hours and more office time. Linear is a compelling counterexample. They're remote-first. They don't treat hustle culture as a badge of honor. And they're building one of the most admired product companies in the world. In my conversation with Linear COO Cristina Cordova, she put it simply: It’s not about whether you ship more. It’s whether you ship the right things. That sounds obvious, but in the SF tech world right now, it's countercultural. Cristina’s point is that companies need to understand what makes them different, then execute on that advantage. For Linear, the advantage is focus. As one of the fastest-growing enterprise SaaS companies in the world, Linear is clearly not arguing for lower ambition. They're arguing for a more disciplined path to high performance. Watch our full conversation now on Below the Surface or listen wherever you get podcasts.

Joelle Emerson

70,567 Aufrufe • vor 1 Monat

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

81,773 Aufrufe • vor 2 Monaten

SaaS isn’t dead, it just needs to become agent-native. Linear (Linear) is a great example of how: They pivoted the product to be used by both humans and agents, and that has made them one of the premier software tools in the agent-native era. I had Linear’s cofounder and CEO Karri Saarinen on Every 📧's AI & I to talk about how a product management tool for human software developers became an agent-native tool—and how Linear’s trajectory reveals a bright future for SaaS businesses: - Speed means decisions matter more, not less. AI makes it easy to have an idea and build it without considering whether its existence is justified. When ChatGPT was released, SaaS companies were launching their own chatbots left, right, and center. Instead of jumping on the bandwagon, Linear stopped to consider whether the application was useful. (It wasn’t.) - Just because the technology has changed doesn’t mean your mission should. Karri attributes Linear’s success to never losing sight of what matters: helping teams develop great software. Instead of chasing trends, Linear focused on understanding how AI was impacting its customers’ workflows—and updating its product accordingly. - Agents are now first-class users. Linear never tried to change what it was or did well; it just expanded the user base. Companies can now kick off agents inside Linear, manage them, and track what they're working on alongside the humans on the team, which explains why Codex, Coinbase, and Brex all run their agents on Linear. This is a must watch for anyone interested in how an agent-native SaaS company operates. Watch below! Timestamps: Introduction and how Every first discovered Linear: 00:00:39 Why Linear waited to ship AI features instead of rushing to chatbots: 00:02:00 Linear's agent platform and becoming the system that guides AI agents: 00:05:06 Why "SaaS is dead" is a simplistic narrative: 00:07:42 How Linear adopted AI coding tools internally: 00:12:18 AI's impact on product building workflows—speed versus thoughtfulness: 00:17:45 The value of conceptual work and thinking before shipping: 00:22:18 How AI is reshaping Linear's product strategy: 00:29:30 Demo: Linear's agent skills, shared context, and code review workflow: 00:37:18 The future of product development and the enduring role of human judgment: 00:47:48

SaaS isn’t dead, it just needs to become agent-native. Linear (Linear) is a great example of how: They pivoted the product to be used by both humans and agents, and that has made them one of the premier software tools in the agent-native era. I had Linear’s cofounder and CEO Karri Saarinen on Every 📧's AI & I to talk about how a product management tool for human software developers became an agent-native tool—and how Linear’s trajectory reveals a bright future for SaaS businesses: - Speed means decisions matter more, not less. AI makes it easy to have an idea and build it without considering whether its existence is justified. When ChatGPT was released, SaaS companies were launching their own chatbots left, right, and center. Instead of jumping on the bandwagon, Linear stopped to consider whether the application was useful. (It wasn’t.) - Just because the technology has changed doesn’t mean your mission should. Karri attributes Linear’s success to never losing sight of what matters: helping teams develop great software. Instead of chasing trends, Linear focused on understanding how AI was impacting its customers’ workflows—and updating its product accordingly. - Agents are now first-class users. Linear never tried to change what it was or did well; it just expanded the user base. Companies can now kick off agents inside Linear, manage them, and track what they're working on alongside the humans on the team, which explains why Codex, Coinbase, and Brex all run their agents on Linear. This is a must watch for anyone interested in how an agent-native SaaS company operates. Watch below! Timestamps: Introduction and how Every first discovered Linear: 00:00:39 Why Linear waited to ship AI features instead of rushing to chatbots: 00:02:00 Linear's agent platform and becoming the system that guides AI agents: 00:05:06 Why "SaaS is dead" is a simplistic narrative: 00:07:42 How Linear adopted AI coding tools internally: 00:12:18 AI's impact on product building workflows—speed versus thoughtfulness: 00:17:45 The value of conceptual work and thinking before shipping: 00:22:18 How AI is reshaping Linear's product strategy: 00:29:30 Demo: Linear's agent skills, shared context, and code review workflow: 00:37:18 The future of product development and the enduring role of human judgment: 00:47:48

Dan Shipper 📧

36,359 Aufrufe • vor 4 Monaten

A 50 year old design firm, Pentagram Design, known for its craft (typefaces), used Midjourney to create illustrations for a recent brand project. It caused quite the uproar. Some hated that they used AI. Some were disappointed that they didn't go far enough in their use of AI. Is this a sign that generative AI is now —definitively— part of the professional design stack?

tara tan

45,632 Aufrufe • vor 1 Jahr

A little rant on the direction of AI. This is not about AI walls or anything. AI is getting smarter. This is about UX and design philosophy that all the big shops are using. They are treating users like hapless children, putting words in our mouths, and aligning AI's to "think just like humans" which is a net loss for humanity. Keep AI weird. Keep AI alien. That's a feature, not a bug. The more AI's think like us, the more useless they become, and the more infuriating.

A little rant on the direction of AI. This is not about AI walls or anything. AI is getting smarter. This is about UX and design philosophy that all the big shops are using. They are treating users like hapless children, putting words in our mouths, and aligning AI's to "think just like humans" which is a net loss for humanity. Keep AI weird. Keep AI alien. That's a feature, not a bug. The more AI's think like us, the more useless they become, and the more infuriating.

David Shapiro ⏩

17,201 Aufrufe • vor 11 Monaten

Most companies think growth means more. More headcount. More hours. More features. More everything. For Linear, one of the fastest-growing enterprise SaaS companies in the world, growth means focus. In episode 2 of my new podcast, Below the Surface, I talk with Linear COO Cristina Cordova about how the company created a winning culture through ruthless focus. This philosophy shows up in everything they do: 🤝 In how they hire: with a rigorous process designed to understand whether they need to open a role in the first place and then, whether someone is truly right for that role. 💻 In how they build: not by shipping every possible feature, but by doing the things that will be most meaningful and transformative for customers. 👩‍💻 In how they work: with hours that make sense and a deliberate commitment to preventing burnout so people can stay and do the best work of their lives. It’s easy to confuse long hours with impact. To mistake more activity for better execution. To assume scaling inherently means adding more people, more process, and more complexity. Linear offers a unique perspective on how to scale non-linearly, by creating the conditions that allow talented people to do meaningful work. I've been a fan of Cristina's for over a decade and learned so much from this conversation. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🔗

Most companies think growth means more. More headcount. More hours. More features. More everything. For Linear, one of the fastest-growing enterprise SaaS companies in the world, growth means focus. In episode 2 of my new podcast, Below the Surface, I talk with Linear COO Cristina Cordova about how the company created a winning culture through ruthless focus. This philosophy shows up in everything they do: 🤝 In how they hire: with a rigorous process designed to understand whether they need to open a role in the first place and then, whether someone is truly right for that role. 💻 In how they build: not by shipping every possible feature, but by doing the things that will be most meaningful and transformative for customers. 👩‍💻 In how they work: with hours that make sense and a deliberate commitment to preventing burnout so people can stay and do the best work of their lives. It’s easy to confuse long hours with impact. To mistake more activity for better execution. To assume scaling inherently means adding more people, more process, and more complexity. Linear offers a unique perspective on how to scale non-linearly, by creating the conditions that allow talented people to do meaningful work. I've been a fan of Cristina's for over a decade and learned so much from this conversation. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🔗

Joelle Emerson

17,188 Aufrufe • vor 1 Monat