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In 2026, multi-player AI will eat single-player AI. Right now, most AI tools are built for one human + one model in a private workspace. ChatGPT, Cursor, Claude. Incredibly powerful, but currently optimized for individuals. The impact is massive: drafts, code, specs, campaigns, workflows. But almost none of it...

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Fareed Mosavat

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55,496 Aufrufe • vor 9 Monaten •via X (Twitter)

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Max Tynan on the gap nobody else is solving. AI coding tools are single-player by design. One developer, one repo, one prompt. Enterprise software is a team sport. Software Factory is the multiplayer layer. Work Orders run inside Cursor, VS Code, or Claude Code through MCP. Requirements, Blueprints, and Tests stay connected in the Knowledge Graph. Engineers keep their IDE. The team gets a system around it.
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Max Tynan on the gap nobody else is solving. AI coding tools are single-player by design. One developer, one repo, one prompt. Enterprise software is a team sport. Software Factory is the multiplayer layer. Work Orders run inside Cursor, VS Code, or Claude Code through MCP. Requirements, Blueprints, and Tests stay connected in the Knowledge Graph. Engineers keep their IDE. The team gets a system around it.

8090

102,280 Aufrufe • vor 4 Monaten

We're only year 3 of a decade (if not multi-decades) long transformation of work. 3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters. This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]: "ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes." Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned. This is Multiplayer AI, and that's what we've been building at Dust. Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR. Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision. Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.
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We're only year 3 of a decade (if not multi-decades) long transformation of work. 3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters. This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]: "ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes." Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned. This is Multiplayer AI, and that's what we've been building at Dust. Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR. Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision. Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.

Stanislas Polu

3,206,497 Aufrufe • vor 4 Monaten

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
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Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 Aufrufe • vor 3 Monaten

Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.
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Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.

Santiago

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At #FIIPRIORITY Miami, I made one thing clear: AI is not about replacing people. That narrative is already obsolete. The real shift is turning every employee into a builder like what we are doing at HUMAIN. AI is the most powerful enablement layer we’ve ever seen. It gives individuals the ability to create, solve, and execute at a level that used to require entire teams. Organizations that understand this will move faster, build smarter, and ultimately win. If the question is “How to Go AI Native?” the answer is not about adopting tools, but about fundamentally redefining how work gets done. Watch the clip below, and catch the full session on YouTube: Türk İfşa 2026
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At #FIIPRIORITY Miami, I made one thing clear: AI is not about replacing people. That narrative is already obsolete. The real shift is turning every employee into a builder like what we are doing at HUMAIN. AI is the most powerful enablement layer we’ve ever seen. It gives individuals the ability to create, solve, and execute at a level that used to require entire teams. Organizations that understand this will move faster, build smarter, and ultimately win. If the question is “How to Go AI Native?” the answer is not about adopting tools, but about fundamentally redefining how work gets done. Watch the clip below, and catch the full session on YouTube: Türk İfşa 2026

Tareq Amin

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Jensen is pushing back on the AI will kill all software narrative just like he pushed back last year on the DeepSeek panic. He was right then. He will be right again. "There's this notion that .. the software industry is in decline and will be replaced by AI. You could tell because there's a whole bunch of software companies whose stock prices are under a lot of pressure. Because somehow AI is going to replace them. It is the most illogical thing in the world and time will prove itself. .. If you were an artificial general intelligence, would you use the tools like ServiceNow and SAP and Cadence and Synopsys? Or would you reinvent a calculator? Of course, you would just use a calculator."
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Jensen is pushing back on the AI will kill all software narrative just like he pushed back last year on the DeepSeek panic. He was right then. He will be right again. "There's this notion that .. the software industry is in decline and will be replaced by AI. You could tell because there's a whole bunch of software companies whose stock prices are under a lot of pressure. Because somehow AI is going to replace them. It is the most illogical thing in the world and time will prove itself. .. If you were an artificial general intelligence, would you use the tools like ServiceNow and SAP and Cadence and Synopsys? Or would you reinvent a calculator? Of course, you would just use a calculator."

tae kim

112,469 Aufrufe • vor 7 Monaten

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Are you ready? AGIX Ecosystem has Arrived!🚀 [1/10] AGIX is the world’s first AGI & AI Agents marketplace in Web3. Unlike ChatGPT, which handles single tasks, AGIX powers multi-agent systems to tackle complex tasks — all orchestrated by our AGI core. 🔍 Watch Our CTO Vlad Demonstrate the Power of AGIX: • Text-to-Action — See AGIX not just analyze, but act in real-time. • Multi-Tool Integration — Hundreds of tools at its command for any task. • Multi-Cycle Task Processing — Self-refining AI that iterates for perfection. • Full Autonomy — Give AGIX a complex task and let it handle the rest, with live updates in Telegram. It's the beginning of an AI Agents Economy.

AGIX | $AGX

95,347 Aufrufe • vor 1 Jahr

I've seen a lot of AI coding tools, but most are just copilots in a sidebar or in a black box form like Claude code. This one is different. I recently came across the new TRAE SOLO, and it’s not an assistant... It's more like a full AI engineer who plans and executes entire projects. The key point is that it has a GUI, which allows the development process to be clearly visible.
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I've seen a lot of AI coding tools, but most are just copilots in a sidebar or in a black box form like Claude code. This one is different. I recently came across the new TRAE SOLO, and it’s not an assistant... It's more like a full AI engineer who plans and executes entire projects. The key point is that it has a GUI, which allows the development process to be clearly visible.

Francesco Ciulla

75,038 Aufrufe • vor 10 Monaten

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#49ers George Kittle on The Rams trading for Myles Garrett: "Myles is a fantastic player. He's a defensive MVP for a reason, broke the sack record for a reason. He's an amazing football player. It just kind of changes up how you have to play against the Rams. You make a game plan around him, and make the rest of the team beat you. Just don't let the best defensive player in the league beat you on every single snap. It's going to be a huge challenge. Like I said, he's incredible. But hey, we've got incredible players too, and I love a great challenge. It's going to be really fun." Via: Rich Eisen Show

OurSF49ers

71,399 Aufrufe • vor 3 Monaten

Compensation is changing. This is the era of the five-tool operator. In baseball, a five-tool player hits for average, hits for power, runs, fields, and throws. Most players have two or three tools. The five-tool player is the one you build a franchise around. The best CEOs I work with, the powerhouses, are five-tool players themselves. They can sell, they can fundraise, they have taste, they can design product and they can code. They're Woz and Jobs. Now, with AI, we have the five-tool engineers. Five-tool PMs. Five-tool growth leads. AI removed enough friction that the best people are no longer operating inside one function. They are operating across the entire loop. At Notion, Ivan Zhao has changed comp to be a meritocracy to reward these types of operators 👇
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Compensation is changing. This is the era of the five-tool operator. In baseball, a five-tool player hits for average, hits for power, runs, fields, and throws. Most players have two or three tools. The five-tool player is the one you build a franchise around. The best CEOs I work with, the powerhouses, are five-tool players themselves. They can sell, they can fundraise, they have taste, they can design product and they can code. They're Woz and Jobs. Now, with AI, we have the five-tool engineers. Five-tool PMs. Five-tool growth leads. AI removed enough friction that the best people are no longer operating inside one function. They are operating across the entire loop. At Notion, Ivan Zhao has changed comp to be a meritocracy to reward these types of operators 👇

Brian Halligan

29,251 Aufrufe • vor 3 Monaten

Here is EVERY AI tool you need to be using in August 2026 I've personally used each for 100+ If you master them and use them all, you'll be a productivity MACHINE The list of the tools are down below. How to use each is in the video! • Best planning model: Fable 5 medium- smartest model out there. Use it to do all your ideation and planning • Best execution model: ChatGPT 5.6 sol medium- best bang for your buck. TONS of usage and incredibly smart • Best AI tool: ChatGPT Voice: the future of interfacing with technology • Best AI agent harness: ChatGPT Desktop app- can do anything any other AI agent can do, but does it better • Best model for building UI/UX/games: Claude Code w/ Claude Opus 5- this model gets a lot of hate. Some of it warranted, most of it not. NOTHING beats Opus 5 for UI • Local model: Qwen 3.6 27b on DGX Spark- best speed and intelligence ratio in local AI • Other must have tools: Buzz from Jack Dorsey. The future of AI is multiplayer, and this is the first true multiplayer AI platform out there
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Here is EVERY AI tool you need to be using in August 2026 I've personally used each for 100+ If you master them and use them all, you'll be a productivity MACHINE The list of the tools are down below. How to use each is in the video! • Best planning model: Fable 5 medium- smartest model out there. Use it to do all your ideation and planning • Best execution model: ChatGPT 5.6 sol medium- best bang for your buck. TONS of usage and incredibly smart • Best AI tool: ChatGPT Voice: the future of interfacing with technology • Best AI agent harness: ChatGPT Desktop app- can do anything any other AI agent can do, but does it better • Best model for building UI/UX/games: Claude Code w/ Claude Opus 5- this model gets a lot of hate. Some of it warranted, most of it not. NOTHING beats Opus 5 for UI • Local model: Qwen 3.6 27b on DGX Spark- best speed and intelligence ratio in local AI • Other must have tools: Buzz from Jack Dorsey. The future of AI is multiplayer, and this is the first true multiplayer AI platform out there

Alex Finn

41,920 Aufrufe • vor 1 Monat

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or
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Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or

sarthak 🌉

97,921 Aufrufe • vor 1 Monat

Jeff Bezos just gave the single clearest explanation of why the current AI frenzy is NOT like the dot-com crash or 2008—and why it actually matters way more than people think. In his words: “When people get very excited, every experiment gets funded. Good ideas and bad ideas. Six people, no product, $20B valuation—that’s happening today. Investors can’t tell the difference in the middle of the mania. But this is an industrial bubble, not a financial one. The 90s had a biotech bubble. As a group, investors lost money… but society still got life-saving drugs that are used every single day. AI is the same—only bigger. It’s not about a handful of AI-first companies. The biggest impact is that AI will transform every single company on Earth. It’s a horizontal layer that raises quality and productivity everywhere. The valuations are insane. Some will go to zero. But when the dust settles, humanity keeps the inventions. That’s how real progress works.” Bezos has never been more bullish—or more sober—about what’s actually happening right now. Watch the full 2:31 clip.
2:31

Jeff Bezos just gave the single clearest explanation of why the current AI frenzy is NOT like the dot-com crash or 2008—and why it actually matters way more than people think. In his words: “When people get very excited, every experiment gets funded. Good ideas and bad ideas. Six people, no product, $20B valuation—that’s happening today. Investors can’t tell the difference in the middle of the mania. But this is an industrial bubble, not a financial one. The 90s had a biotech bubble. As a group, investors lost money… but society still got life-saving drugs that are used every single day. AI is the same—only bigger. It’s not about a handful of AI-first companies. The biggest impact is that AI will transform every single company on Earth. It’s a horizontal layer that raises quality and productivity everywhere. The valuations are insane. Some will go to zero. But when the dust settles, humanity keeps the inventions. That’s how real progress works.” Bezos has never been more bullish—or more sober—about what’s actually happening right now. Watch the full 2:31 clip.

Camus

693,340 Aufrufe • vor 9 Monaten

AGENCIES ARE CHARGING $50,000 FOR HEAVY, CLUNKY AUTOMATION, WHILE SOLO OPERATORS ARE SELLING THE SAME OUTCOME FOR $5k AND BUILDING IT IN JUST 3 HOURS Most people think building an AI agency requires an expensive stack of tools like n8n, Make, and Zapier to justify high monthly retainers They spend weeks pitching and designing overly complex “spaghetti” workflows for clients In reality, the better approach is to build an AI Operating System directly in VS Code using local Markdown files The cost gap is insane. You pay $20/month for a Claude account and spend a few hours wiring up ClickUp and Google Workspace APIs Then you package that same architecture as a $5k one-time setup and a $2k monthly retainer Right now, founders are paying $15k + for enterprise AI setups that a single operator can build with almost zero overhead And if you want a practical AI OS playbook, I’ve attached an article below Save this post and the article so you can come back later and learn how to build a full AI operating system in just 3 hours
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AGENCIES ARE CHARGING $50,000 FOR HEAVY, CLUNKY AUTOMATION, WHILE SOLO OPERATORS ARE SELLING THE SAME OUTCOME FOR $5k AND BUILDING IT IN JUST 3 HOURS Most people think building an AI agency requires an expensive stack of tools like n8n, Make, and Zapier to justify high monthly retainers They spend weeks pitching and designing overly complex “spaghetti” workflows for clients In reality, the better approach is to build an AI Operating System directly in VS Code using local Markdown files The cost gap is insane. You pay $20/month for a Claude account and spend a few hours wiring up ClickUp and Google Workspace APIs Then you package that same architecture as a $5k one-time setup and a $2k monthly retainer Right now, founders are paying $15k + for enterprise AI setups that a single operator can build with almost zero overhead And if you want a practical AI OS playbook, I’ve attached an article below Save this post and the article so you can come back later and learn how to build a full AI operating system in just 3 hours

Bonsai 🌳

10,885 Aufrufe • vor 3 Monaten

The "big announcement" just dropped. I just watched Sundar Pichai and Demis Hassabis announce biggest AI infrastructure deal in history. $15 billion to build India's first complete AI hub. Let me break down what Google is building: A massive AI data center in Visakhapatnam (a coastal city in India). Think of it like this: • The compute power of thousands of Google data centers • New underwater internet cables connecting 4 continents • Clean energy plants to power everything • Training programs for 100+ million people All in one place, over 5 years. AI doesn't work without fast internet. Google is laying NEW cables under the ocean: → India to Singapore → India to South Africa → India to Australia → Mumbai to Western Australia Right now, most of the world's internet flows through cables landing in the US, Europe, or China. Google is creating an entirely new route, with India at the center. If you're in Africa, Asia, or South America, your AI tools will get FASTER. Why? Shorter distance = faster data. Instead of your request traveling: Africa → Europe → US → back to Africa It will go: Africa → India → back to Africa that's the infrastructure play everyone's missing. numbers that matter: 💰 $15 billion for the data centers and cables 💰 $30 million to help governments use AI 💰 $30 million for AI research grants 💰 100 million+ people getting free AI training But here's the kicker: Google is plugging AI directly into India's government. • 20 million government workers getting AI tools • Students getting AI tutors for entrance exams • Real-time translation in 70+ languages • Scam detection built into search This isn't "AI for tech companies." This is AI for clerks, teachers, railway staff, police officers, the people who actually run a country. ✅ 20 million+ people used Google's AI detection tool to spot fake images ✅ India is now #3 globally for AI chatbot usage ✅ AI scam detection helping millions avoid fraud daily ✅ 10+ million government workers already on the AI training platform Google is building the pipes that deliver AI to the entire Southern Hemisphere. Different game. Different strategy. If they're right, the next billion AI users won't connect through Silicon Valley. They'll connect through India. 🇮🇳
1:26

The "big announcement" just dropped. I just watched Sundar Pichai and Demis Hassabis announce biggest AI infrastructure deal in history. $15 billion to build India's first complete AI hub. Let me break down what Google is building: A massive AI data center in Visakhapatnam (a coastal city in India). Think of it like this: • The compute power of thousands of Google data centers • New underwater internet cables connecting 4 continents • Clean energy plants to power everything • Training programs for 100+ million people All in one place, over 5 years. AI doesn't work without fast internet. Google is laying NEW cables under the ocean: → India to Singapore → India to South Africa → India to Australia → Mumbai to Western Australia Right now, most of the world's internet flows through cables landing in the US, Europe, or China. Google is creating an entirely new route, with India at the center. If you're in Africa, Asia, or South America, your AI tools will get FASTER. Why? Shorter distance = faster data. Instead of your request traveling: Africa → Europe → US → back to Africa It will go: Africa → India → back to Africa that's the infrastructure play everyone's missing. numbers that matter: 💰 $15 billion for the data centers and cables 💰 $30 million to help governments use AI 💰 $30 million for AI research grants 💰 100 million+ people getting free AI training But here's the kicker: Google is plugging AI directly into India's government. • 20 million government workers getting AI tools • Students getting AI tutors for entrance exams • Real-time translation in 70+ languages • Scam detection built into search This isn't "AI for tech companies." This is AI for clerks, teachers, railway staff, police officers, the people who actually run a country. ✅ 20 million+ people used Google's AI detection tool to spot fake images ✅ India is now #3 globally for AI chatbot usage ✅ AI scam detection helping millions avoid fraud daily ✅ 10+ million government workers already on the AI training platform Google is building the pipes that deliver AI to the entire Southern Hemisphere. Different game. Different strategy. If they're right, the next billion AI users won't connect through Silicon Valley. They'll connect through India. 🇮🇳

Shruti

400,124 Aufrufe • vor 7 Monaten

We've built a massive verification bottleneck: • 72% of developers use AI to generate code every day • 96% of them don't fully trust it Writing code is now free. All the work now is verifying that the code does what it's supposed to. According to a new State of Code Survey, almost half of the respondents believe the number one skill that will matter most in the coming years is "reviewing and validating AI-generated code for quality and security". Not prompt engineering or vibe-coding, but checking AI's work.
3:44

We've built a massive verification bottleneck: • 72% of developers use AI to generate code every day • 96% of them don't fully trust it Writing code is now free. All the work now is verifying that the code does what it's supposed to. According to a new State of Code Survey, almost half of the respondents believe the number one skill that will matter most in the coming years is "reviewing and validating AI-generated code for quality and security". Not prompt engineering or vibe-coding, but checking AI's work.

Santiago

16,299 Aufrufe • vor 8 Monaten

Jordy Visser Jordi Visser: "Google's not a player in this anymore." Visser is an AI-native power user who tracks his own model usage as a leading indicator. Two months ago Claude was 35% of his usage, ChatGPT 25%, Google 20%. Now ChatGPT and Claude are 90% combined and Gemini is near zero. The same week, two senior DeepMind scientists left for Anthropic. He would never short Google. But multiple compression is already underway, the same pattern that hit Meta and Microsoft. A business does not have to fail to destroy shareholder value. Why the AI race narrowed to two: Source: Anthony Pompliano Podcast -
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Jordy Visser Jordi Visser: "Google's not a player in this anymore." Visser is an AI-native power user who tracks his own model usage as a leading indicator. Two months ago Claude was 35% of his usage, ChatGPT 25%, Google 20%. Now ChatGPT and Claude are 90% combined and Gemini is near zero. The same week, two senior DeepMind scientists left for Anthropic. He would never short Google. But multiple compression is already underway, the same pattern that hit Meta and Microsoft. A business does not have to fail to destroy shareholder value. Why the AI race narrowed to two: Source: Anthony Pompliano Podcast -

Podcast Alpha

32,589 Aufrufe • vor 2 Monaten

Wait... this was made by AI? I’ve been testing out and I’m honestly impressed. Most AI tools just show random pictures, but this one actually understands the music. I tried the "MV" feature and the lip-sync is perfect, the character's mouth moves exactly with the lyrics and the beat. It feels like a real performance instead of just a generated video. And, the best part? I made this in just 30 minutes with one click without switching tool or complicated editing needed. Check it out here: Drama.land_official
3:30

Wait... this was made by AI? I’ve been testing out and I’m honestly impressed. Most AI tools just show random pictures, but this one actually understands the music. I tried the "MV" feature and the lip-sync is perfect, the character's mouth moves exactly with the lyrics and the beat. It feels like a real performance instead of just a generated video. And, the best part? I made this in just 30 minutes with one click without switching tool or complicated editing needed. Check it out here: Drama.land_official

Chidanand Tripathi

80,533 Aufrufe • vor 7 Monaten