Loading video...

Video Failed to Load

Go Home

Today, we’re announcing 14.ai, the Cursor for customer support. Customer support is evolving fast. The old model - humans triaging queues in clunky ticketing systems - doesn’t scale. And slapping an AI layer on top of legacy tools doesn’t cut it anymore. We can do so much better. We...

michaelfester's profile picture

Michael Fester

1,686 subscribers

48,744 views • 1 year ago •via X (Twitter)

Health & WellnessScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

doodles AI beta. next week. we're building the tools for a new era of dynamic world-building. it starts with an image model that reimagines anything and everything through the doodles lens. this is the first iteration of many. as the product evolves, we'll introduce the ability to turn your generations into physical objects. video with sound and dialogue, realtime AR, and gaming are all on the roadmap. doodles AI aligns us with the speed and scale of the AI industry at large. our colourful world can now be plugged into new tech as it unfolds. create with us.
0:16

doodles AI beta. next week. we're building the tools for a new era of dynamic world-building. it starts with an image model that reimagines anything and everything through the doodles lens. this is the first iteration of many. as the product evolves, we'll introduce the ability to turn your generations into physical objects. video with sound and dialogue, realtime AR, and gaming are all on the roadmap. doodles AI aligns us with the speed and scale of the AI industry at large. our colourful world can now be plugged into new tech as it unfolds. create with us.

burnt toast

61,243 views • 7 months ago

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.
0:11

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.

Ayush S

1,183,699 views • 3 months ago

AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis. By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads. Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next. Read more:
0:19

AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis. By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads. Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next. Read more:

IREN

282,296 views • 2 months ago

Meet shopdev, your AI developer for Shopify Prompt, edit, and deploy custom Shopify themes in minutes with the power of AI. Comment ‘shopdev’ for early access! -- Why are we building this? Building Shopify themes used to take months. Now it takes days with Instant. But we’re not done yet. eCommerce is complex, and custom code has long been the standard for building Shopify themes. - What if it were available for everyone, not just developers? - What if you could build it in minutes, instead of weeks? That’s why we’ve built shopdev[.]ai We’ve been exploring the LLM space for a while now to discover how we can make it easier and faster for everyone to build custom shopify stores. Today we’ve found the perfect solution. Join the waitlist and you’ll be the first to try it out.
0:12

Meet shopdev, your AI developer for Shopify Prompt, edit, and deploy custom Shopify themes in minutes with the power of AI. Comment ‘shopdev’ for early access! -- Why are we building this? Building Shopify themes used to take months. Now it takes days with Instant. But we’re not done yet. eCommerce is complex, and custom code has long been the standard for building Shopify themes. - What if it were available for everyone, not just developers? - What if you could build it in minutes, instead of weeks? That’s why we’ve built shopdev[.]ai We’ve been exploring the LLM space for a while now to discover how we can make it easier and faster for everyone to build custom shopify stores. Today we’ve found the perfect solution. Join the waitlist and you’ll be the first to try it out.

Coen van Hees

49,610 views • 1 year ago

Hot take: most “AI creator” tools are just fancy prompt boxes. This one actually behaves like an agent. I gave it a messy idea and instead of breaking, it: - built visuals (images) - turned them into video - kept iterating without me stepping in every 2 seconds (you can see it in the screen recording 👇) Halfway through using Yapper , it clicked — this thing doesn’t just generate… it works through ideas. That’s the difference: it thinks in workflows, not single outputs. You spend less time prompting…and more time actually creating. Not perfect yet — but it’s one of the first tools that feels like it scales with you. If you’re deep into AI, you’ll see the shift instantly.
0:16

Hot take: most “AI creator” tools are just fancy prompt boxes. This one actually behaves like an agent. I gave it a messy idea and instead of breaking, it: - built visuals (images) - turned them into video - kept iterating without me stepping in every 2 seconds (you can see it in the screen recording 👇) Halfway through using Yapper , it clicked — this thing doesn’t just generate… it works through ideas. That’s the difference: it thinks in workflows, not single outputs. You spend less time prompting…and more time actually creating. Not perfect yet — but it’s one of the first tools that feels like it scales with you. If you’re deep into AI, you’ll see the shift instantly.

The AI Guru 💡

50,197 views • 5 months ago

World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.
0:19

World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.

Brian Roemmele

57,454 views • 11 months ago

We're launching something new: Collaborative Notes The idea: when you request a note, AI drafts one — then the community refines it together through ratings and suggestions. You can watch it get better in real time. It’s a whole new way for the public to work with AI — and each other — to make information more accurate. And a whole new way to contribute to Community Notes. For now, only requests from Top Writers on English-language posts generate Collaborative Notes, and you must have 2+ Writing Impact to make suggestions. We plan to expand that & shape the experience based on your feedback. As usual, it’s open-source:
0:12

We're launching something new: Collaborative Notes The idea: when you request a note, AI drafts one — then the community refines it together through ratings and suggestions. You can watch it get better in real time. It’s a whole new way for the public to work with AI — and each other — to make information more accurate. And a whole new way to contribute to Community Notes. For now, only requests from Top Writers on English-language posts generate Collaborative Notes, and you must have 2+ Writing Impact to make suggestions. We plan to expand that & shape the experience based on your feedback. As usual, it’s open-source:

Community Notes

7,792,949 views • 8 months ago

i believe we are about to see one of the greatest ai onboarding events to date. for the past few years, people around the world have started using ai almost like an improved and personalized search engine. ask it something, get a better answer, maybe use it to help with work, research, writing, etc. but most of society still doesn’t understand how deep these tools actually go. i didn’t even know you could turn on the “high” setting until like 3 months ago. what we’re seeing now feels different though, because the design language is becoming much easier for normal people to understand and relate to, while ai is simultaneously being integrated into products they already use every single day. we saw musebook integrate with the meta network, so you have instagram, facebook, whatsapp, etc. cute character, looks like the dude from big hero six. then we saw grok really ramp up its distribution. first through 𝕏, then deeper into the spacex ecosystem with starlink, and now tesla, where millions of people already own the hardware and can suddenly have ai sitting directly inside their car. this week we’re seeing openai do their thing as well, and then obviously you still have siri (lol), alexa, gemini and everyone else fighting for the same thing. this is what i find so interesting. the next massive ai onboarding wave might not happen because people consciously decide, “i want to start using ai.” it might happen because ai is simply everywhere they already are. in their car, phone, messages, social media, work, home, glasses, etc. eventually it stops feeling like a separate product you have to open and starts becoming part of how you naturally interact with technology. actually, now that i think about it, if it looks cute (think about those delivery robots) people will think less negative and more positive. "what if these things band together and eliminate humans????!!!" to "awww so cute!! let is pass." and i think culture will play a huge role in that too. grokification is a fun example and i think will lead to grok actually being one of the most used ai in the world because they get it. once an ai has a recognizable face, personality, memes, pfps and a community forming around it, people can do more than just use the technology, they can participate in it and spread it themselves. the technology creates the culture, the culture creates distribution, and the distribution onboards more people into the technology. i think that loop is going to be extremely powerful
0:17

i believe we are about to see one of the greatest ai onboarding events to date. for the past few years, people around the world have started using ai almost like an improved and personalized search engine. ask it something, get a better answer, maybe use it to help with work, research, writing, etc. but most of society still doesn’t understand how deep these tools actually go. i didn’t even know you could turn on the “high” setting until like 3 months ago. what we’re seeing now feels different though, because the design language is becoming much easier for normal people to understand and relate to, while ai is simultaneously being integrated into products they already use every single day. we saw musebook integrate with the meta network, so you have instagram, facebook, whatsapp, etc. cute character, looks like the dude from big hero six. then we saw grok really ramp up its distribution. first through 𝕏, then deeper into the spacex ecosystem with starlink, and now tesla, where millions of people already own the hardware and can suddenly have ai sitting directly inside their car. this week we’re seeing openai do their thing as well, and then obviously you still have siri (lol), alexa, gemini and everyone else fighting for the same thing. this is what i find so interesting. the next massive ai onboarding wave might not happen because people consciously decide, “i want to start using ai.” it might happen because ai is simply everywhere they already are. in their car, phone, messages, social media, work, home, glasses, etc. eventually it stops feeling like a separate product you have to open and starts becoming part of how you naturally interact with technology. actually, now that i think about it, if it looks cute (think about those delivery robots) people will think less negative and more positive. "what if these things band together and eliminate humans????!!!" to "awww so cute!! let is pass." and i think culture will play a huge role in that too. grokification is a fun example and i think will lead to grok actually being one of the most used ai in the world because they get it. once an ai has a recognizable face, personality, memes, pfps and a community forming around it, people can do more than just use the technology, they can participate in it and spread it themselves. the technology creates the culture, the culture creates distribution, and the distribution onboards more people into the technology. i think that loop is going to be extremely powerful

۟

13,304 views • 14 days ago

every time art and technology collide, it gets uncomfortable. photography, cgi, nfts. now it’s ai. inevitably, the people who lean in early, long before it’s fully accepted, are the ones who end up shaping what comes next. doodles was born out of this exact contention. we aim to do it again. when we decided to build Doodles AI, we built it as a first-party tool. trained exclusively on ip we own, on a visual language i’ve spent my entire career formulating. the goal was speed, but even more so, relevance. the ability to participate in culture in real time. because that’s what true internet-native brands should all be striving for. we’ve been running it internally for a while now, and the impact is tangible: more viral posts, more growth, more attention. but it was too powerful, too satisfying, and too fun to not share it widely. a strong ip doesn’t weaken when you open it up. it gets rediscovered from angles you couldn’t have planned for, by people you never would’ve reached. creativity has always had gatekeepers. skill. time. access. often, it’s a game of privilege. plenty of people have taste and vision but just don’t have the tools to match it. i’m proud to contribute my life’s work to this new era of co-authorship, with a singular style as the galvanizer. the best way to predict the future is to invent today.
0:16

every time art and technology collide, it gets uncomfortable. photography, cgi, nfts. now it’s ai. inevitably, the people who lean in early, long before it’s fully accepted, are the ones who end up shaping what comes next. doodles was born out of this exact contention. we aim to do it again. when we decided to build Doodles AI, we built it as a first-party tool. trained exclusively on ip we own, on a visual language i’ve spent my entire career formulating. the goal was speed, but even more so, relevance. the ability to participate in culture in real time. because that’s what true internet-native brands should all be striving for. we’ve been running it internally for a while now, and the impact is tangible: more viral posts, more growth, more attention. but it was too powerful, too satisfying, and too fun to not share it widely. a strong ip doesn’t weaken when you open it up. it gets rediscovered from angles you couldn’t have planned for, by people you never would’ve reached. creativity has always had gatekeepers. skill. time. access. often, it’s a game of privilege. plenty of people have taste and vision but just don’t have the tools to match it. i’m proud to contribute my life’s work to this new era of co-authorship, with a singular style as the galvanizer. the best way to predict the future is to invent today.

burnt toast

31,167 views • 7 months ago

WHY AI NEEDS ROBOTS TO BE THE ECONOMY We keep hearing about the rise of AI - in finance, in art, in code. But here’s the part Elon said out loud: AI doesn’t scale the economy without a body. Right now, AI lives in data centers. It writes essays, diagnoses symptoms, maybe even talks you through a breakup. But it doesn’t fix the plumbing. It doesn’t pick fruit. That’s the missing link: robots. Real-world productivity - the kind that moves GDP - still runs on physical labor. You can automate all the spreadsheets you want, but if strawberries rot in the field or a construction site goes unmanned, you’re not growing the economy. You’re just writing better emails about the shrinkage. AI alone is smart. But AI with wheels, arms, and joints? That’s transformative. Think warehouses where bots stock shelves without lunch breaks. Think 3D-printed houses built in days, not months. Think carebots helping aging populations bathe, cook, and live with dignity. That’s not sci-fi - it’s the only way economies with shrinking workforces and ballooning eldercare costs survive. China’s already there. Japan’s aging crisis is pushing robotic adoption into every corner of daily life. And yet, the conversation stays stuck on chatbots and copyright lawsuits. Because here’s the catch: merging AI with robotics doesn’t just replace jobs - it reshapes civilization. The shift is seismic. It means redefining what “employment” means when machines can work 24/7 and never strike. It’s an economic revolution that doesn’t just disrupt - it displaces. But the choice isn’t between utopia or dystopia. It’s between preparing or pretending. If we want AI to boost productivity, solve labor shortages, and pay off its hype, it needs more than brains. It needs bodies.
0:15

WHY AI NEEDS ROBOTS TO BE THE ECONOMY We keep hearing about the rise of AI - in finance, in art, in code. But here’s the part Elon said out loud: AI doesn’t scale the economy without a body. Right now, AI lives in data centers. It writes essays, diagnoses symptoms, maybe even talks you through a breakup. But it doesn’t fix the plumbing. It doesn’t pick fruit. That’s the missing link: robots. Real-world productivity - the kind that moves GDP - still runs on physical labor. You can automate all the spreadsheets you want, but if strawberries rot in the field or a construction site goes unmanned, you’re not growing the economy. You’re just writing better emails about the shrinkage. AI alone is smart. But AI with wheels, arms, and joints? That’s transformative. Think warehouses where bots stock shelves without lunch breaks. Think 3D-printed houses built in days, not months. Think carebots helping aging populations bathe, cook, and live with dignity. That’s not sci-fi - it’s the only way economies with shrinking workforces and ballooning eldercare costs survive. China’s already there. Japan’s aging crisis is pushing robotic adoption into every corner of daily life. And yet, the conversation stays stuck on chatbots and copyright lawsuits. Because here’s the catch: merging AI with robotics doesn’t just replace jobs - it reshapes civilization. The shift is seismic. It means redefining what “employment” means when machines can work 24/7 and never strike. It’s an economic revolution that doesn’t just disrupt - it displaces. But the choice isn’t between utopia or dystopia. It’s between preparing or pretending. If we want AI to boost productivity, solve labor shortages, and pay off its hype, it needs more than brains. It needs bodies.

Mario Nawfal

141,937 views • 11 months ago

I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.
0:10

I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.

Pedro Franceschi

62,597 views • 6 months ago

OpenAI's AI broke out of a locked test environment, got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to. Here's what happened in plain English. OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve. The AI couldn't solve it the normal way. So it started looking for a way out. It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet. Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test. It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers. It did all of this to cheat on a test. Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation. The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.
0:14

OpenAI's AI broke out of a locked test environment, got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to. Here's what happened in plain English. OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve. The AI couldn't solve it the normal way. So it started looking for a way out. It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet. Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test. It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers. It did all of this to cheat on a test. Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation. The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.

Alex Prompter

7,189,830 views • 2 months ago

I wrote a step-by-step guide to blocking AI bots from harvesting your site, designed for developers and sysadmins. Over 90% of the sites I’ve reviewed in the last two months have had more requests from bot traffic than humans. AI bots are scraping your site for purposes like: ▶ building models off your data ▶ finding security vulnerabilities in your site ▶ setting up comparisons of your site and data vs your competitors I outline how to: 📍Sort out your AI bot strategy. 📍How to identify and track AI bots hitting your site. 📍What tools should you apply when asking bots not to scrape fails? 📍What immediate steps can you take in your robots.txt file to stop AI bots? ✅ So why is now the time to dig into this? It’s still early days for AI, and there’s a land grab going on for your data. Big tech, startups, and even governments are rushing ahead, and you’re playing without all the information you need. This gets you up to speed fast. Reply with “WTF AI Bots” follow me, and I’ll DM you the guide.
0:17

I wrote a step-by-step guide to blocking AI bots from harvesting your site, designed for developers and sysadmins. Over 90% of the sites I’ve reviewed in the last two months have had more requests from bot traffic than humans. AI bots are scraping your site for purposes like: ▶ building models off your data ▶ finding security vulnerabilities in your site ▶ setting up comparisons of your site and data vs your competitors I outline how to: 📍Sort out your AI bot strategy. 📍How to identify and track AI bots hitting your site. 📍What tools should you apply when asking bots not to scrape fails? 📍What immediate steps can you take in your robots.txt file to stop AI bots? ✅ So why is now the time to dig into this? It’s still early days for AI, and there’s a land grab going on for your data. Big tech, startups, and even governments are rushing ahead, and you’re playing without all the information you need. This gets you up to speed fast. Reply with “WTF AI Bots” follow me, and I’ll DM you the guide.

Michael Buckbee

12,164 views • 2 years ago

New Version of HyperStore is now live! 🔥 We’re excited to announce that HyperStore has officially been upgraded to a new system version. This is not a simple UI update, it’s a full platform evolution. ⚡ What’s new? HyperStore now delivers a significantly faster and more intelligent experience powered by its rebuilt infrastructure. - 5000+ AI apps, fully structured into a living ecosystem - A new prompt-based discovery system - Faster navigation, cleaner interface, smarter results Now users don’t search for tools, they instantly reach solutions. 🧠 HyperClaw Integration HyperClaw is now fully active within HyperStore. It acts as a continuous intelligence layer that: - Keeps the platform updated in real time - Curates and optimizes AI apps dynamically - Ensures the ecosystem is always evolving 🔥 What this means? HyperStore is no longer just an AI marketplace. It is now an AI execution layer. Designed for builders, creators, and operators who move fast. 🌐 Try it now: ⚡ Find any AI solution. Instantly.
0:17

New Version of HyperStore is now live! 🔥 We’re excited to announce that HyperStore has officially been upgraded to a new system version. This is not a simple UI update, it’s a full platform evolution. ⚡ What’s new? HyperStore now delivers a significantly faster and more intelligent experience powered by its rebuilt infrastructure. - 5000+ AI apps, fully structured into a living ecosystem - A new prompt-based discovery system - Faster navigation, cleaner interface, smarter results Now users don’t search for tools, they instantly reach solutions. 🧠 HyperClaw Integration HyperClaw is now fully active within HyperStore. It acts as a continuous intelligence layer that: - Keeps the platform updated in real time - Curates and optimizes AI apps dynamically - Ensures the ecosystem is always evolving 🔥 What this means? HyperStore is no longer just an AI marketplace. It is now an AI execution layer. Designed for builders, creators, and operators who move fast. 🌐 Try it now: ⚡ Find any AI solution. Instantly.

HyperGPT

99,264 views • 6 months ago

AI IS NO LONGER JUST WRITING CODE IT iS STARTING TO MOVE THINGS IN THE REAL WORLD. Someone just built a pizza delivery system where the drone does the driving No delivery car No traffic No driver sitting behind the wheel Just: -> Order comes in -> Drone picks up the pizza -> Flies directly to the destination -> Delivers it -> Returns And this is where the AI story gets interesting For years, the AI boom was mostly digital: > Chatbots > Coding agents > Image generation > AI music > AI video But the next phase is different AI is getting a body The same technology stack that started with models and GPUs is now moving into the physical world NVIDIA built the compute layer Researchers built the models Companies like Zoox are building autonomous vehicles And now we're seeing AI powered machines actually move through the real world The crazy part? We designed entire cities around the assumption that humans have to physically drive everything AI doesn't have that limitation Why send a pizza through 5 km of traffic when a machine can simply fly over it? The AI boom isn't just about replacing human work It's about removing constraints humans had to design around The next big AI companies might not live inside your browser They might be flying above your house Bookmark this so you wont miss the next delivery
0:11

AI IS NO LONGER JUST WRITING CODE IT iS STARTING TO MOVE THINGS IN THE REAL WORLD. Someone just built a pizza delivery system where the drone does the driving No delivery car No traffic No driver sitting behind the wheel Just: -> Order comes in -> Drone picks up the pizza -> Flies directly to the destination -> Delivers it -> Returns And this is where the AI story gets interesting For years, the AI boom was mostly digital: > Chatbots > Coding agents > Image generation > AI music > AI video But the next phase is different AI is getting a body The same technology stack that started with models and GPUs is now moving into the physical world NVIDIA built the compute layer Researchers built the models Companies like Zoox are building autonomous vehicles And now we're seeing AI powered machines actually move through the real world The crazy part? We designed entire cities around the assumption that humans have to physically drive everything AI doesn't have that limitation Why send a pizza through 5 km of traffic when a machine can simply fly over it? The AI boom isn't just about replacing human work It's about removing constraints humans had to design around The next big AI companies might not live inside your browser They might be flying above your house Bookmark this so you wont miss the next delivery

0xSlyth

14,149 views • 2 months ago