Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

How are companies using AI to replace traditional software? Lovable Co-Founder and CEO Anton Osika explains: "Every time they're looking at new software or new tools, they consider, can we just build this at Lovable instead?" "And so far, they've switched out ten different applications… and saving $1 million... show more

The Information

1,507,269 subscribers

18,109 görüntüleme • 2 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

in software, we're entering a new age of skyscrapers: rather than a small group of humans hand-typing code into a computer, software is now built by thousands of humans and agents working together to build applications at a scale that was previously unthinkable. the unsung heroes of this new era are infrastructure engineers. they are the people who are figuring out how to make software with 100x the amount of code, and 1000x the amount of contributors actually work OpenAI is one of the few companies already operating at this scale so we Every 📧 spent a few days deep inside of the company to learn how their infrastructure team thinks about building software skyscrapers—and how they use agents to do it one of the most important articles we've written this year:

in software, we're entering a new age of skyscrapers: rather than a small group of humans hand-typing code into a computer, software is now built by thousands of humans and agents working together to build applications at a scale that was previously unthinkable. the unsung heroes of this new era are infrastructure engineers. they are the people who are figuring out how to make software with 100x the amount of code, and 1000x the amount of contributors actually work OpenAI is one of the few companies already operating at this scale so we Every 📧 spent a few days deep inside of the company to learn how their infrastructure team thinks about building software skyscrapers—and how they use agents to do it one of the most important articles we've written this year:

Dan Shipper

14,912 görüntüleme • 2 ay önce

I lead written socials at Lovable and today I built an AI clone of myself with Lovable and our new Slack connector. It proactively monitors relevant sources and reaches out to me when it finds an opportunity. I can also tag it with a post idea, and it will help write it. The coolest part is that it improves over time as I give it feedback! Below is how I built it.

I lead written socials at Lovable and today I built an AI clone of myself with Lovable and our new Slack connector. It proactively monitors relevant sources and reaches out to me when it finds an opportunity. I can also tag it with a post idea, and it will help write it. The coolest part is that it improves over time as I give it feedback! Below is how I built it.

Henrik

14,388 görüntüleme • 8 ay önce

Three million more patients are using the NHS App every month compared to a year ago. Take advantage of the new features we've added and start managing your healthcare at home, or on the go. This is the NHS fitting around your life. Check it out.

Three million more patients are using the NHS App every month compared to a year ago. Take advantage of the new features we've added and start managing your healthcare at home, or on the go. This is the NHS fitting around your life. Check it out.

Department of Health and Social Care

27,699 görüntüleme • 9 ay önce

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

Miyu Horiuchi

90,718 görüntüleme • 8 ay önce

Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.

Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.

Thomas Kurian

198,586 görüntüleme • 4 ay önce

COMPANIES ARE STARTING TO REPLACE FINANCIAL WORK WITH AI AGENTS. And this is probably one of the most advanced examples so far. Brex just launched its “Agentic Finance” system: → AI that approves expenses automatically → flags suspicious purchases or expenses before approving them → categorizes and reviews transactions in real time → automates accounting tasks and reporting → chases down receipts and documentation automatically → answers financial questions with AI → helps speed up the books close Most companies still manage their finances with: • PDFs and Excel • manual approvals • painfully slow processes • entire teams doing repetitive tasks With this kind of AI agent, companies can deliver faster services, with fewer errors and far less And very few companies yet understand how important that’s going to be. Great work, Brex Link below👇

COMPANIES ARE STARTING TO REPLACE FINANCIAL WORK WITH AI AGENTS. And this is probably one of the most advanced examples so far. Brex just launched its “Agentic Finance” system: → AI that approves expenses automatically → flags suspicious purchases or expenses before approving them → categorizes and reviews transactions in real time → automates accounting tasks and reporting → chases down receipts and documentation automatically → answers financial questions with AI → helps speed up the books close Most companies still manage their finances with: • PDFs and Excel • manual approvals • painfully slow processes • entire teams doing repetitive tasks With this kind of AI agent, companies can deliver faster services, with fewer errors and far less And very few companies yet understand how important that’s going to be. Great work, Brex Link below👇

gus

93,877 görüntüleme • 4 ay önce

$AMD CEO: “We are 2 years into 10-year AI buildout.” Lisa Su said this last year and $AMD reached an all-time high this year as GPU and CPU demand is skyrocketing. We are still at just year 3 of a decade-long infrastructure buildout. McKinsey estimates AI infrastructure spending will reach $5-$8 trillion by 2030. And then we’ll still have at least a few more years of rapid buildout to reach sufficient capacity to train next-gen models and serve every inference demand at attractive prices. Then all this infrastructure will need to be renewed every 4-5 years. Selling $AMD here means selling it just at the beginning of the largest IT buildout.

$AMD CEO: “We are 2 years into 10-year AI buildout.” Lisa Su said this last year and $AMD reached an all-time high this year as GPU and CPU demand is skyrocketing. We are still at just year 3 of a decade-long infrastructure buildout. McKinsey estimates AI infrastructure spending will reach $5-$8 trillion by 2030. And then we’ll still have at least a few more years of rapid buildout to reach sufficient capacity to train next-gen models and serve every inference demand at attractive prices. Then all this infrastructure will need to be renewed every 4-5 years. Selling $AMD here means selling it just at the beginning of the largest IT buildout.

Oguz Erkan

325,546 görüntüleme • 5 ay önce

🎉 How D-lightful! 🎉 Chainguard has raised a $356M Series D round co-led by new investor Kleiner Perkins and existing investor IVP, with participation from Salesforce Ventures, Datadog, Inc. Ventures, and every single other existing investor. This brings our total funds raised to over $600M, and puts us at a $3.5 billion valuation. We’re on a mission to be the safe source for open source and build a future where security and innovation can move in lockstep. This new investment allows us to continue creating secure, easy to use products and solutions that enable that future for our users. The momentum we’ve built over the past few years has been incredible to experience, and we’re grateful to all our customers, investors, and community for supporting us and being along for the ride. 🫶 Reach out if you are interested in joining us on this journey—we are hiring in every department! Check out our CEO and co-founder Dan Lorenc's blog:

🎉 How D-lightful! 🎉 Chainguard has raised a $356M Series D round co-led by new investor Kleiner Perkins and existing investor IVP, with participation from Salesforce Ventures, Datadog, Inc. Ventures, and every single other existing investor. This brings our total funds raised to over $600M, and puts us at a $3.5 billion valuation. We’re on a mission to be the safe source for open source and build a future where security and innovation can move in lockstep. This new investment allows us to continue creating secure, easy to use products and solutions that enable that future for our users. The momentum we’ve built over the past few years has been incredible to experience, and we’re grateful to all our customers, investors, and community for supporting us and being along for the ride. 🫶 Reach out if you are interested in joining us on this journey—we are hiring in every department! Check out our CEO and co-founder Dan Lorenc's blog:

Chainguard ⛓️

41,332 görüntüleme • 1 yıl önce

👀 PFL CEO John Martin expresses his frustration with ESPN and how the partnership has played out so far. *Recorded at PFL New York post fight presser on August 31st before tonight’s technical difficulties on the main card* “I have been pretty open about my frustration with ESPN so far. There has been a lack of support. I’m not however dismissing their impact and efforts navigating this new year, but it’s something to consider.” 🎥: Home of Fight / Jake Noecker

👀 PFL CEO John Martin expresses his frustration with ESPN and how the partnership has played out so far. Recorded at PFL New York post fight presser on August 31st before tonight’s technical difficulties on the main card “I have been pretty open about my frustration with ESPN so far. There has been a lack of support. I’m not however dismissing their impact and efforts navigating this new year, but it’s something to consider.” 🎥: Home of Fight / Jake Noecker

Home of Fight

37,801 görüntüleme • 2 ay önce

Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against them: more powerful methods to design biological systems, with near-universal access, open up an increasing surface area of threats. In this new world, the only way forward is to be faster. So we set out to build the tech stack for biodefense. Our team of computational biologists and software engineers applies frontier AI to identify biological threats and update medical countermeasures in real-time. We are backed by $30M from OpenAI, Lux Capital, Founders Fund and others including Definition. We are actively hiring engineers to join in the mission - if that sounds like you, get in touch.

Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against them: more powerful methods to design biological systems, with near-universal access, open up an increasing surface area of threats. In this new world, the only way forward is to be faster. So we set out to build the tech stack for biodefense. Our team of computational biologists and software engineers applies frontier AI to identify biological threats and update medical countermeasures in real-time. We are backed by $30M from OpenAI, Lux Capital, Founders Fund and others including Definition. We are actively hiring engineers to join in the mission - if that sounds like you, get in touch.

Valthos

1,439,021 görüntüleme • 11 ay önce

NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!

NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!

elvis

16,882 görüntüleme • 2 ay önce

if you are a new follower, i've been doing these gestural experiments for a while now. eventually i wanna build tools that manipulate symbolic thinking in an embodied and intuitive way. e.g. using hands to explore latent spaces like this: or make music thru interfaces like this: i'm currently full-time working and self funding all these projects. if you happen to be feeling generous at the moment, please consider becoming a paid subscriber at my substack. this could help me just go a bit further😌 💜🫶

if you are a new follower, i've been doing these gestural experiments for a while now. eventually i wanna build tools that manipulate symbolic thinking in an embodied and intuitive way. e.g. using hands to explore latent spaces like this: or make music thru interfaces like this: i'm currently full-time working and self funding all these projects. if you happen to be feeling generous at the moment, please consider becoming a paid subscriber at my substack. this could help me just go a bit further😌 💜🫶

Kat ⊷ the Poet Engineer

565,954 görüntüleme • 2 yıl önce

NEW WORK 🚀 We recently shipped This is one of many launches that will build upon Ramp's vision. And if you really looked, you may have spotted some new brand elements. Today, we’re sharing the first look at our evolved brand. We’re calling it Solar System because of our primary Ramp brand color. The idea was simple: build a brand system that behaves like jazz. Why? Because the world is changing too fast. The speed at which we’re shipping at Ramp will only increase and the world will only get more unpredictable. As we build this world, we realized we needed a new system — new ingredients, musical notes, and tools — that behaved more like software and nothing like the old way of brand building. Most brands optimize for consistency: “We always look like this.” We’re building for coherence: “We evolve, and you still know it’s us.” Brand as software is the operating principle in this new AI era. A system that can move at the speed of culture, learn while we grow, without losing focus of our core purpose: saving companies time and money. We built this first version in four weeks. We'll keep improving it out in the open. I’m insanely proud of the heart and care this team put into the work. Personally this is the fastest I've ever evolved a brand, and it was only possible because of this group. Massive shoutout to Diego Zaks , Mark Weaver , Aodan Reddy, Nicholas Ano, Cristina Keane, Emerline Ji, Fons Mans , Roan Collom, Diego Segura , J.D. Reeves , Jack Beveridge, Silas Reeves, Kyla Arsadjaja, Jon Howell , bradley , Azeem Segraves, Claire Chen, Eleanor Ngai, Viktor, David Fetherston, John Mock, and Alex Chimienti. Job's not finished.

Paul Jun

53,950 görüntüleme • 1 ay önce

Netflix Intro Experiment by Reddit User GuiMarconi1982. This blew me away, just shows how crazy cool things we can make with AI tools that traditional tools would have us bashing our heads with for a long time. And the fact that we can make hundreds of variations and explorations in no time at all. Wowsers. 🌐 Used a QR Code Control Net model in combination with Animatediff on comfyUI ( ) 🌐 Music is AI generated with Mubert ( 🌐 SFX are from Motion Array ( Magical work.

Netflix Intro Experiment by Reddit User GuiMarconi1982. This blew me away, just shows how crazy cool things we can make with AI tools that traditional tools would have us bashing our heads with for a long time. And the fact that we can make hundreds of variations and explorations in no time at all. Wowsers. 🌐 Used a QR Code Control Net model in combination with Animatediff on comfyUI ( ) 🌐 Music is AI generated with Mubert ( 🌐 SFX are from Motion Array ( Magical work.

Linus ✦ Ekenstam

205,612 görüntüleme • 2 yıl önce

It's so cool how v0 + Supabase make it easy for scientists to build their own software 🧪💻 Today we ran an internal hackathon at Adaptyv Bio where we "forced" everyone to use AI tools like v0 & co to solve problems we have in our lab Our head of biosensing, who at 49 y/o has never coded in his life, built himself an app to inspect protein binding curves. Took 30 minutes and what would've been an annoying analysis with excel is now a matter of seconds

It's so cool how v0 + Supabase make it easy for scientists to build their own software 🧪💻 Today we ran an internal hackathon at Adaptyv Bio where we "forced" everyone to use AI tools like v0 & co to solve problems we have in our lab Our head of biosensing, who at 49 y/o has never coded in his life, built himself an app to inspect protein binding curves. Took 30 minutes and what would've been an annoying analysis with excel is now a matter of seconds

Julian Englert

18,289 görüntüleme • 1 yıl önce

Introducing Poetic: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

Introducing Poetic: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

Markie Wagner

1,385,400 görüntüleme • 4 ay önce

This is actually true. Women are happiest when they don't need to think. They just arrive at an airport and a jet is waiting. How does a private jet get organized? Who knows. New country, arrive at a 5-star, have a great time. Have no idea how they got there, how much it cost, how it was organized, how they're getting home. Zero. They literally want to turn their brains off and smile when they're with the man they love. Logistics kill smiles.

This is actually true. Women are happiest when they don't need to think. They just arrive at an airport and a jet is waiting. How does a private jet get organized? Who knows. New country, arrive at a 5-star, have a great time. Have no idea how they got there, how much it cost, how it was organized, how they're getting home. Zero. They literally want to turn their brains off and smile when they're with the man they love. Logistics kill smiles.

Andrew Tate

7,501,404 görüntüleme • 3 yıl önce

Every year at Razorpay FTX we launch products. This year, we’re launching a new Razorpay, built from the ground up for the AI era. And for the first time, instead of just announcements or videos, shashank kanojia and I will demo everything live (hoping nothing breaks 🤞). If you’re not there in person, watch the livestream in replies. The Agentic Era of India begins tomorrow 10 am.

Every year at Razorpay FTX we launch products. This year, we’re launching a new Razorpay, built from the ground up for the AI era. And for the first time, instead of just announcements or videos, shashank kanojia and I will demo everything live (hoping nothing breaks 🤞). If you’re not there in person, watch the livestream in replies. The Agentic Era of India begins tomorrow 10 am.

Harshil Mathur

11,850 görüntüleme • 7 ay önce

Introducing: Lisbon AI builder venue 🇵🇹 we got our office 1 year ago, since then we have been planning and hosting events/afterworks and hackathons with the leaders in AI. our office is in central Lisbon, near Marquês de Pombal with good vibes. over the next couple of months, we got many big events coming up with the leading AI labs and companies: 1, Claude Afterwork Lisbon (23/4) > 2, Lovable is coming to Lisbon 25/4 > 3, Friendly Machines: Exploring Hermes and Claude Agents > 4, Supabase Lisbon Meetup > with many more planned with the top labs in the space. If you are an AI builder looking for other AI builders in Lisbon, then its time to reach out.

Introducing: Lisbon AI builder venue 🇵🇹 we got our office 1 year ago, since then we have been planning and hosting events/afterworks and hackathons with the leaders in AI. our office is in central Lisbon, near Marquês de Pombal with good vibes. over the next couple of months, we got many big events coming up with the leading AI labs and companies: 1, Claude Afterwork Lisbon (23/4) > 2, Lovable is coming to Lisbon 25/4 > 3, Friendly Machines: Exploring Hermes and Claude Agents > 4, Supabase Lisbon Meetup > with many more planned with the top labs in the space. If you are an AI builder looking for other AI builders in Lisbon, then its time to reach out.

Tim Haldorsson

59,818 görüntüleme • 5 ay önce