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4 billion payments. 3 trillion data points. One model trained on all of it. Meet Razorpay Vulcan - India’s first transformer-based AI foundation model for payments. Built, trained and hosted in India, in partnership with NVIDIA and Amazon Web Services. Until now, every payments problem was solved separately: routing,...

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Harshil Mathur

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554,061 views • 8 days ago •via X (Twitter)

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#WATCH | Bengaluru, Karnataka: Co-founder, Sarvam AI, Pratyush Kumar says, "... It's been three years now. We started off building on top of the Llama model, which was the best open model at that time. Sarvam was the only company outside, or maybe in Asia, that contributed to the Llama 3 Series. We understood how to add language skills into models, and Llama 3 was reasonable in Indian languages. When the first set of GPUs arrived in India, we pre-trained from scratch a 2-billion model and worked with Infosys to make it useful for IT services. Then we recognised the importance of scaling up reinforcement learning and built a reasoning model called Sarvam M on top of Mistral's small model. Over the last year, we pre-trained from scratch in India on 4,000 Hopper Series GPUs a 100-billion-plus-parameter model..."
1:43

#WATCH | Bengaluru, Karnataka: Co-founder, Sarvam AI, Pratyush Kumar says, "... It's been three years now. We started off building on top of the Llama model, which was the best open model at that time. Sarvam was the only company outside, or maybe in Asia, that contributed to the Llama 3 Series. We understood how to add language skills into models, and Llama 3 was reasonable in Indian languages. When the first set of GPUs arrived in India, we pre-trained from scratch a 2-billion model and worked with Infosys to make it useful for IT services. Then we recognised the importance of scaling up reinforcement learning and built a reasoning model called Sarvam M on top of Mistral's small model. Over the last year, we pre-trained from scratch in India on 4,000 Hopper Series GPUs a 100-billion-plus-parameter model..."

ANI

162,971 views • 27 days ago

210 days ago, Natural was just a one-pager and a memo. Today, we’re coming out of stealth. Natural is the agentic payments platform powering frictionless money movement between agents, businesses, and consumers. Wallets. Payments. Ledgering. Routing. Identity. Compliance. Credit. Observability. Risk. Everything needed to move money. Engineered for agents and designed for humans. These primitives give you the ability to transact without becoming a payments expert or stitching together a dozen fragmented tools. Huge thanks to our team of 10 (soon to be 25), our early investors, and the supporters who believed in this vision from the start. If you want to help shape how money moves over the coming decades, we’re hiring. And if you’re building agents you should probably be moving money too. Reach out. Read more about Natural and the products we’re launching in the blog below.
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210 days ago, Natural was just a one-pager and a memo. Today, we’re coming out of stealth. Natural is the agentic payments platform powering frictionless money movement between agents, businesses, and consumers. Wallets. Payments. Ledgering. Routing. Identity. Compliance. Credit. Observability. Risk. Everything needed to move money. Engineered for agents and designed for humans. These primitives give you the ability to transact without becoming a payments expert or stitching together a dozen fragmented tools. Huge thanks to our team of 10 (soon to be 25), our early investors, and the supporters who believed in this vision from the start. If you want to help shape how money moves over the coming decades, we’re hiring. And if you’re building agents you should probably be moving money too. Reach out. Read more about Natural and the products we’re launching in the blog below.

Kahlil Lalji

177,942 views • 5 months ago

Elon Musk says DOGE stopped up to $200 billion in yearly government waste with one rule. He calls them "zombie payments." The U.S. Treasury was firing off up to $200 billion in payments a year that had no code attached and no explanation for what the money was for. DOGE pushed one change to the main Treasury computer and a bunch of others. Every payment now needs: • A payment code • An explanation for the payment • Or it doesn't go out Musk says 2-3% of all U.S. government payments shouldn't be going out at all. The fix seems insanely obvious. Stopping it is actually quite hard... "It's a pretty rare individual that would ask the government to stop sending them money." That's why nobody was ever going to stop it. — Elon Musk ( Elon Musk ) on the Katie Miller Podcast
1:28

Elon Musk says DOGE stopped up to $200 billion in yearly government waste with one rule. He calls them "zombie payments." The U.S. Treasury was firing off up to $200 billion in payments a year that had no code attached and no explanation for what the money was for. DOGE pushed one change to the main Treasury computer and a bunch of others. Every payment now needs: • A payment code • An explanation for the payment • Or it doesn't go out Musk says 2-3% of all U.S. government payments shouldn't be going out at all. The fix seems insanely obvious. Stopping it is actually quite hard... "It's a pretty rare individual that would ask the government to stop sending them money." That's why nobody was ever going to stop it. — Elon Musk ( Elon Musk ) on the Katie Miller Podcast

GeniusThinking

64,071 views • 2 months ago

🚨 Elon Musk on DOGE: "I think the goal of DOGE was to try to do something about the deficit, which is massive, where the interest payments exceed the amount of money spent on the Department of War. Like basically, if you add up all the money spent on on what is now the Department of War and the and intelligence in the US, that is smaller than the interest payments on the debt. So we need to sort of take a close look at spending and make sure that money is being spent in sensible ways and that it is not wasted or spent on fraudulent activities. And I got a lot of flack from this for this, obviously. But the people don't understand just how simple it was for the DOGE team to approve payments. If we literally we were just asked to have the contact information of the recipients or some evidence that say money was going to its intended purpose. But over and over that we were told we need to wire money for some sort of important cause in Africa. And we're like, OK, but the wiring wiring instructions are to Deloitte and Touche in D.C., in Washington, D.C., not to Africa. So we would like to send the money to Africa. Can you please connect us with the recipients so we can send them the money directly? And then we get silence."
1:37

🚨 Elon Musk on DOGE: "I think the goal of DOGE was to try to do something about the deficit, which is massive, where the interest payments exceed the amount of money spent on the Department of War. Like basically, if you add up all the money spent on on what is now the Department of War and the and intelligence in the US, that is smaller than the interest payments on the debt. So we need to sort of take a close look at spending and make sure that money is being spent in sensible ways and that it is not wasted or spent on fraudulent activities. And I got a lot of flack from this for this, obviously. But the people don't understand just how simple it was for the DOGE team to approve payments. If we literally we were just asked to have the contact information of the recipients or some evidence that say money was going to its intended purpose. But over and over that we were told we need to wire money for some sort of important cause in Africa. And we're like, OK, but the wiring wiring instructions are to Deloitte and Touche in D.C., in Washington, D.C., not to Africa. So we would like to send the money to Africa. Can you please connect us with the recipients so we can send them the money directly? And then we get silence."

DogeDesigner

5,286,586 views • 1 month ago

Great news to start off the new financial year. Razorpay is now embedded natively inside OpenAI’s Codex, an industry-first for any Indian payments company. A developer prompts "build me a fitness app with a ₹499 one-time payment." Codex builds it. Razorpay handles the payments. No separate integration, no dashboard-hopping. If AI makes creation effortless, monetisation should be just as simple. India has 6 million developers & weekly Indian users of Codex 4x'd in two weeks this February. We’re building for this shift where more people can create, launch, and earn without friction. We have always enabled businesses so that their payments are smoother, easier, simpler & faster and Codex just got added to that already illustrious list.
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Great news to start off the new financial year. Razorpay is now embedded natively inside OpenAI’s Codex, an industry-first for any Indian payments company. A developer prompts "build me a fitness app with a ₹499 one-time payment." Codex builds it. Razorpay handles the payments. No separate integration, no dashboard-hopping. If AI makes creation effortless, monetisation should be just as simple. India has 6 million developers & weekly Indian users of Codex 4x'd in two weeks this February. We’re building for this shift where more people can create, launch, and earn without friction. We have always enabled businesses so that their payments are smoother, easier, simpler & faster and Codex just got added to that already illustrious list.

Shashank Kumar

209,519 views • 4 months ago

Bitcoin is money AND digital gold. The two are not mutually exclusive. For Michael Saylor - it's the purest form of digital credit. For David Marcus - it's the payment rails of the future. "No one cares what humans think about how people need to Bitcoin because it's an unopinionated, code-based money platform." The Lightspark founder is forging ahead with building Bitcoin-based payment rails, while Saylor and Strategy are doubling down on Bitcoin-backed financial products. "I'm really grateful that Michael is really focused on the store of value use case, and he can do that, and I can be the one focused on bringing utility to Bitcoin. Both things will actually help one another to make Bitcoin more relevant to many more people and that's the beauty of building on an open network," Marcus told Robert Baggs and me on our latest Chain Reaction show. Marcus has been keenly focused on abstracting complexity away from payments using Bitcoin payments infrastructure with the launch of Lightspark Grid. "It's like Bitcoin as a network being used to move all kinds of other money, whether it's stablecoin or fiat at the edges, and you don't even understand that you're using Bitcoin. For instance, if you're a SoFi client in the US, and you want to send money to Europe or India, Brazil or Mexico, you send dollars and the other person on the other side receives Mexican peso, you have no clue you're using Bitcoin. And it's like magical TCP/IP for money between payment systems in the world." Bitcoin infrastructure works. Like most widely adopted technologies, the average person has no idea what's going on under the hood. That is the future that takes Bitcoin global. And it's being built in real-time.
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Bitcoin is money AND digital gold. The two are not mutually exclusive. For Michael Saylor - it's the purest form of digital credit. For David Marcus - it's the payment rails of the future. "No one cares what humans think about how people need to Bitcoin because it's an unopinionated, code-based money platform." The Lightspark founder is forging ahead with building Bitcoin-based payment rails, while Saylor and Strategy are doubling down on Bitcoin-backed financial products. "I'm really grateful that Michael is really focused on the store of value use case, and he can do that, and I can be the one focused on bringing utility to Bitcoin. Both things will actually help one another to make Bitcoin more relevant to many more people and that's the beauty of building on an open network," Marcus told Robert Baggs and me on our latest Chain Reaction show. Marcus has been keenly focused on abstracting complexity away from payments using Bitcoin payments infrastructure with the launch of Lightspark Grid. "It's like Bitcoin as a network being used to move all kinds of other money, whether it's stablecoin or fiat at the edges, and you don't even understand that you're using Bitcoin. For instance, if you're a SoFi client in the US, and you want to send money to Europe or India, Brazil or Mexico, you send dollars and the other person on the other side receives Mexican peso, you have no clue you're using Bitcoin. And it's like magical TCP/IP for money between payment systems in the world." Bitcoin infrastructure works. Like most widely adopted technologies, the average person has no idea what's going on under the hood. That is the future that takes Bitcoin global. And it's being built in real-time.

Gareth Jenkinson

19,172 views • 6 months ago

"We will announce 17 new anti-fraud actions that will total about a third of $1 billion, and that that's added to the $230 billion that we've already uncovered." Vice President JD Vance announces his task force has uncovered more fraud hurting the U.S. economy, the latest step in the Trump administration's push to root out what it says is widespread fraud across the federal government. Vance says the administration's fraud task force has identified $230 billion in fraudulent payments and already stopped $56 billion from going out the door, saying every dollar blocked is money saved for American taxpayers.
0:47

"We will announce 17 new anti-fraud actions that will total about a third of $1 billion, and that that's added to the $230 billion that we've already uncovered." Vice President JD Vance announces his task force has uncovered more fraud hurting the U.S. economy, the latest step in the Trump administration's push to root out what it says is widespread fraud across the federal government. Vance says the administration's fraud task force has identified $230 billion in fraudulent payments and already stopped $56 billion from going out the door, saying every dollar blocked is money saved for American taxpayers.

Fox News

280,961 views • 26 days ago

Visa, Mastercard and Ripple backed an open standard buried since 1991. If you want to learn how I make money off this, it's all one dollar. Link in bio, or go to When they wrote the original rules of the web, the engineers reserved a slot called error 402, payment required. They knew payments would need to be built into the internet one day. Then it sat there unused for three decades. AI is what finally woke it up. It's called x402. On July 15, Visa, Mastercard and Ripple all joined the standard, and the Linux Foundation stepped in to govern it. Same group behind Linux, the software running most of the servers on the internet. Forty companies signed in. Amazon, Google, Mastercard, Visa, American Express, Stripe, Cloudflare, Shopify, Circle, Solana. Every cloud provider, every card network, every major processor. In one month, 75 million payments moved 24 million dollars. That's an average payment of about 32 cents. These are not people buying sneakers. These are AI agents paying each other tiny amounts for data, for computing, for a single request. Back in April it was already 165 million transactions across 69,000 active agents. And analysts say half that volume is still just testing. The rails for the machine economy got laid while everyone stared at a price chart. Follow for the moves the news skips.
2:59

Visa, Mastercard and Ripple backed an open standard buried since 1991. If you want to learn how I make money off this, it's all one dollar. Link in bio, or go to When they wrote the original rules of the web, the engineers reserved a slot called error 402, payment required. They knew payments would need to be built into the internet one day. Then it sat there unused for three decades. AI is what finally woke it up. It's called x402. On July 15, Visa, Mastercard and Ripple all joined the standard, and the Linux Foundation stepped in to govern it. Same group behind Linux, the software running most of the servers on the internet. Forty companies signed in. Amazon, Google, Mastercard, Visa, American Express, Stripe, Cloudflare, Shopify, Circle, Solana. Every cloud provider, every card network, every major processor. In one month, 75 million payments moved 24 million dollars. That's an average payment of about 32 cents. These are not people buying sneakers. These are AI agents paying each other tiny amounts for data, for computing, for a single request. Back in April it was already 165 million transactions across 69,000 active agents. And analysts say half that volume is still just testing. The rails for the machine economy got laid while everyone stared at a price chart. Follow for the moves the news skips.

Alexander Lorenzo

14,216 views • 25 days ago

The payment layer for programmable money is here – Introducing BRRR BRRR creates a universal settlement layer connecting blockchain networks with traditional payment systems, enabling programmable transactions at global scale. For the first time ever, any financial institution or service provider is just one API call away from orchestrating payments onchain. Any network, token, or smart contract logic comes right out of the box with a compliant and developer-friendly experience. Crypto in the last cycle lived in a vacuum with no real connective tissue to legacy fiat and banking systems. Today, stablecoins, blockchain networks, and DeFi primitives are reinventing how we interact with money. There will be more specialized stablecoins, dedicated payment networks, and sophisticated primitives — and BRRR is the one layer that connects all of them together. BRRR is already: • Connecting 20 networks • Integrated with 150+ protocols • Powering the largest Web3 card • Processed over $200M real-world payments BRRR is a smart proxy to the future-proof payments, but that is only the beginning. Today we mark the next stage of BRRR, where everyone can be a part of it. To learn more about BRRR, how to get involved or integrate, visit:
0:46

The payment layer for programmable money is here – Introducing BRRR BRRR creates a universal settlement layer connecting blockchain networks with traditional payment systems, enabling programmable transactions at global scale. For the first time ever, any financial institution or service provider is just one API call away from orchestrating payments onchain. Any network, token, or smart contract logic comes right out of the box with a compliant and developer-friendly experience. Crypto in the last cycle lived in a vacuum with no real connective tissue to legacy fiat and banking systems. Today, stablecoins, blockchain networks, and DeFi primitives are reinventing how we interact with money. There will be more specialized stablecoins, dedicated payment networks, and sophisticated primitives — and BRRR is the one layer that connects all of them together. BRRR is already: • Connecting 20 networks • Integrated with 150+ protocols • Powering the largest Web3 card • Processed over $200M real-world payments BRRR is a smart proxy to the future-proof payments, but that is only the beginning. Today we mark the next stage of BRRR, where everyone can be a part of it. To learn more about BRRR, how to get involved or integrate, visit:

Blockchain Reconciliation and Remittance Record

57,544 views • 1 year ago

We're working hard to make paying with crypto the best way to pay online. It's gotten faster and cheaper to send global payments with Base. Now we need to remove more intermediate steps. In the ideal world, every payment is under 1 second and 1 cent, and it's a one tap checkout. Your shipping address or email address should also be transferred in the same tap, if you want to allow the merchant to receive this information. Still WIP but getting closer. Crypto is the native form of money on the internet.
0:23

We're working hard to make paying with crypto the best way to pay online. It's gotten faster and cheaper to send global payments with Base. Now we need to remove more intermediate steps. In the ideal world, every payment is under 1 second and 1 cent, and it's a one tap checkout. Your shipping address or email address should also be transferred in the same tap, if you want to allow the merchant to receive this information. Still WIP but getting closer. Crypto is the native form of money on the internet.

Brian Armstrong

1,433,117 views • 2 years ago

🚨 NEW: Elon Musk and Department of Government Efficiency expose that taxpayer money was spent renting out Caesars Palace and stadiums—for parties. "The computers at Treasury pay about $5 trillion per year. When payments are made, there was formerly not a budget code on there. So if a payment was made you didn't know what it was for." "There was a $4 billion COVID fund in the Department of Education. There was no receipts recquired so people could just draw down on it. They found out money was being used to rent out Ceasers Palace for parties, rent out stadiums, etc." "So the one change that DOGE made was the simple requirement that if you drawdown money, you must first upload a receipt, and upon doing so, nobody drew down any money anymore." "Generally, the fraud starts out small and they try to hide it. But year after year, if nobody stops the fraud, it gets more and more brazen, and every year it gets bigger until they are literally renting out stadium."
2:29

🚨 NEW: Elon Musk and Department of Government Efficiency expose that taxpayer money was spent renting out Caesars Palace and stadiums—for parties. "The computers at Treasury pay about $5 trillion per year. When payments are made, there was formerly not a budget code on there. So if a payment was made you didn't know what it was for." "There was a $4 billion COVID fund in the Department of Education. There was no receipts recquired so people could just draw down on it. They found out money was being used to rent out Ceasers Palace for parties, rent out stadiums, etc." "So the one change that DOGE made was the simple requirement that if you drawdown money, you must first upload a receipt, and upon doing so, nobody drew down any money anymore." "Generally, the fraud starts out small and they try to hide it. But year after year, if nobody stops the fraud, it gets more and more brazen, and every year it gets bigger until they are literally renting out stadium."

KanekoaTheGreat

2,010,907 views • 1 year ago

Today, I’m proud to share something we’ve been building for months - Artham, India’s first Small Language Model (SLM) built exclusively for Indian Capital Markets. We unveiled it at AWS re:Invent 2025 in Las Vegas, marking a defining milestone for India, AI, and Raise on the world stage. 🚀 This isn’t just a product launch. It’s a statement that India no longer has to rely on global AI models that were never designed to understand the depth, nuance, and realities of our markets. We can and we will build for ourselves. Artham is shaped by the realities of Indian markets — SEBI’s rulebook, NSE & BSE dynamics, corporate filings, trading cycles, investor sentiment, and the everyday language of Indian finance. Every layer is grounded in local context, built to serve Indian participants, not global assumptions. This isn’t a “global model adapted for India.” Built in India. Hosted in India. Built for India. 🇮🇳 This is a model born from India’s capital markets. At Raise Financial Services, we’ve always believed that true financial empowerment cannot come from imported solutions. It must be created on-ground, in-context, with an Indian-first mindset. Artham is our step towards making Indian finance more intelligent, more relevant, and more accessible for retail investors, traders, institutions, and the next generation of market participants. Behind this launch is a team that stayed obsessed with one thing: relevance. Relevance to the Indian investor. Relevance to the Indian market cycle. Relevance to India’s financial future. This isn’t a concept or a test model. Artham is already live in production for millions of users: • fuzz AI (AI research) • ScanX (markets insights) • Dhan - Made for Trade (trading and investing) Proud of our team. Proud of our mission. Proud to build for India. 🇮🇳 Anirudha Basak Amazon Web Services AWS Cloud India #AWSreInvent2025
0:48

Today, I’m proud to share something we’ve been building for months - Artham, India’s first Small Language Model (SLM) built exclusively for Indian Capital Markets. We unveiled it at AWS re:Invent 2025 in Las Vegas, marking a defining milestone for India, AI, and Raise on the world stage. 🚀 This isn’t just a product launch. It’s a statement that India no longer has to rely on global AI models that were never designed to understand the depth, nuance, and realities of our markets. We can and we will build for ourselves. Artham is shaped by the realities of Indian markets — SEBI’s rulebook, NSE & BSE dynamics, corporate filings, trading cycles, investor sentiment, and the everyday language of Indian finance. Every layer is grounded in local context, built to serve Indian participants, not global assumptions. This isn’t a “global model adapted for India.” Built in India. Hosted in India. Built for India. 🇮🇳 This is a model born from India’s capital markets. At Raise Financial Services, we’ve always believed that true financial empowerment cannot come from imported solutions. It must be created on-ground, in-context, with an Indian-first mindset. Artham is our step towards making Indian finance more intelligent, more relevant, and more accessible for retail investors, traders, institutions, and the next generation of market participants. Behind this launch is a team that stayed obsessed with one thing: relevance. Relevance to the Indian investor. Relevance to the Indian market cycle. Relevance to India’s financial future. This isn’t a concept or a test model. Artham is already live in production for millions of users: • fuzz AI (AI research) • ScanX (markets insights) • Dhan - Made for Trade (trading and investing) Proud of our team. Proud of our mission. Proud to build for India. 🇮🇳 Anirudha Basak Amazon Web Services AWS Cloud India #AWSreInvent2025

shraddha

94,117 views • 8 months ago

Today we’re announcing @kodezi Chronos-1. After years of research, iteration, and failure, we’ve built something radically new. Chronos-1 is the world's first large language model purpose-built for debugging. Unlike LLMs that just autocomplete, Chronos-1 understands, diagnoses, and heals code.While most LLMs are trained to generate code, Chronos-1 is trained to investigate, remember, and resolve it. What makes Chronos-1 different: - Debugging-first architecture - Multi-level memory engine trained on millions of bugs, logs, and test cases - Adaptive retrieval that scales to entire codebases - 23% better bug detection and 40% fewer debugging cycles in real-world evaluation - Native integrations with IDEs, CI/CD, and observability workflows Chronos-1 powers Kodezi OS, your AI-native CTO that autonomously maintains, evolves, and governs your codebase. Kodezi OS exits beta in Q1 of 2026. We’ve raised a fresh round of funding and are focused on becoming the leader in code maintenance. We’re hiring cracked engineering and product talent, with base starting at $200K. If you’re interested in building the future of code maintenance and helping shape how software heals and improves itself, message me.
2:01

Today we’re announcing @kodezi Chronos-1. After years of research, iteration, and failure, we’ve built something radically new. Chronos-1 is the world's first large language model purpose-built for debugging. Unlike LLMs that just autocomplete, Chronos-1 understands, diagnoses, and heals code.While most LLMs are trained to generate code, Chronos-1 is trained to investigate, remember, and resolve it. What makes Chronos-1 different: - Debugging-first architecture - Multi-level memory engine trained on millions of bugs, logs, and test cases - Adaptive retrieval that scales to entire codebases - 23% better bug detection and 40% fewer debugging cycles in real-world evaluation - Native integrations with IDEs, CI/CD, and observability workflows Chronos-1 powers Kodezi OS, your AI-native CTO that autonomously maintains, evolves, and governs your codebase. Kodezi OS exits beta in Q1 of 2026. We’ve raised a fresh round of funding and are focused on becoming the leader in code maintenance. We’re hiring cracked engineering and product talent, with base starting at $200K. If you’re interested in building the future of code maintenance and helping shape how software heals and improves itself, message me.

Ishraq Khan

125,265 views • 8 months ago

an infinitely large model trained on infinite data still cannot go below 1.69 GPT-4 burned three months on twenty five thousand GPUs inching toward it plot every model ever trained, error against compute on a log scale, and none of them gets below one straight line. runs ten trillion times cheaper than GPT-4 press up against the very same line that line never reaches zero. it flattens, and the number it flattens at is DeepMind's estimate for general web text the floor also moves with what you feed it. code and math sit lower because they are more predictable. scraped web sits higher that floor is the part of a text that nothing before it can predict so either we have found something like an ideal gas law for AI, or we have found the shape of the only method we know bookmark this
23:13

an infinitely large model trained on infinite data still cannot go below 1.69 GPT-4 burned three months on twenty five thousand GPUs inching toward it plot every model ever trained, error against compute on a log scale, and none of them gets below one straight line. runs ten trillion times cheaper than GPT-4 press up against the very same line that line never reaches zero. it flattens, and the number it flattens at is DeepMind's estimate for general web text the floor also moves with what you feed it. code and math sit lower because they are more predictable. scraped web sits higher that floor is the part of a text that nothing before it can predict so either we have found something like an ideal gas law for AI, or we have found the shape of the only method we know bookmark this

helicerat

65,797 views • 12 days ago

The most interesting thing about blockchain payments is how ordinary the goal has become. What was once a logistical and compliance nightmare is now "just another form of money" moving from one place to another, on a rail that settles faster or cheaper than the alternative. In this clip, our co-founder and CEO, Sami Start, describes how apps are increasingly using blockchain as a substitute for traditional payment methods and that the end user never needs to know it is there. The payment looks the same. The rail underneath is different. Explore the payment rails of the future at →
0:57

The most interesting thing about blockchain payments is how ordinary the goal has become. What was once a logistical and compliance nightmare is now "just another form of money" moving from one place to another, on a rail that settles faster or cheaper than the alternative. In this clip, our co-founder and CEO, Sami Start, describes how apps are increasingly using blockchain as a substitute for traditional payment methods and that the end user never needs to know it is there. The payment looks the same. The rail underneath is different. Explore the payment rails of the future at →

Transak

13,741 views • 1 month ago

Elon Musk just made one if the biggest moves in taking over the programming industry “SpaceX just bought Cursor for $60 billion. Do you realize how big this is? SpaceX went public — the biggest IPO in history. $75 billion raised, almost a $2 trillion valuation and the first thing to do with that money? Buy the most popular AI coding tool on the planet. Here's why that changes everything. Elon now owns 3 layers: the compute, Colossus data centers, the models, Grok through xAI, and now the tool that developers actually use every day. It's the full stack. And here's what makes Cursor different from Claude Code or Codex. Cursor is model agnostic. You can run Claude in it, GPT, Gemini, whatever model you want. It's not locked to any one company, and now it has SpaceX's resources behind it. Cursor said they were bottlenecked by compute. Well, that bottleneck has just been removed. $4 billion in annual revenue, over half the Fortune 500 already uses it, and now it's backed by a $2 trillion company. OpenAI has Codex, Anthropic has Claude Code, and now Elon has Cursor.” Let me break this down in simple terms Elon Musk now controls more of the full AI picture: - Massive computers, power (data centers like Colossus) - Smart AI models (Grok from xAI) - The actual tool millions of developers use every day (Cursor) For every day users this means Faster and smarter apps and websites in the future. More developers using powerful AI tools means new apps, games, websites, and features get built quicker and cheaper. This means better video games, smoother streaming, smarter phone apps and better programs For Developers they can describe what they want in plain English (“make a feature that does X”) and the AI handles more of the heavy lifting
2:13

Elon Musk just made one if the biggest moves in taking over the programming industry “SpaceX just bought Cursor for $60 billion. Do you realize how big this is? SpaceX went public — the biggest IPO in history. $75 billion raised, almost a $2 trillion valuation and the first thing to do with that money? Buy the most popular AI coding tool on the planet. Here's why that changes everything. Elon now owns 3 layers: the compute, Colossus data centers, the models, Grok through xAI, and now the tool that developers actually use every day. It's the full stack. And here's what makes Cursor different from Claude Code or Codex. Cursor is model agnostic. You can run Claude in it, GPT, Gemini, whatever model you want. It's not locked to any one company, and now it has SpaceX's resources behind it. Cursor said they were bottlenecked by compute. Well, that bottleneck has just been removed. $4 billion in annual revenue, over half the Fortune 500 already uses it, and now it's backed by a $2 trillion company. OpenAI has Codex, Anthropic has Claude Code, and now Elon has Cursor.” Let me break this down in simple terms Elon Musk now controls more of the full AI picture: - Massive computers, power (data centers like Colossus) - Smart AI models (Grok from xAI) - The actual tool millions of developers use every day (Cursor) For every day users this means Faster and smarter apps and websites in the future. More developers using powerful AI tools means new apps, games, websites, and features get built quicker and cheaper. This means better video games, smoother streaming, smarter phone apps and better programs For Developers they can describe what they want in plain English (“make a feature that does X”) and the AI handles more of the heavy lifting

Wall Street Apes

213,601 views • 2 months ago

I just watched a machine buy something on Stripe. No card. No human. No checkout. Stripe Dev shipped it yesterday — machine payments, live in preview. Commerce isn't designed for machines. --- We need to re-organize around that thought. It is designed for humans. He's right. Every fraud model, every auth flow, every billing system we've built assumes a person is on the other end. Agents break all of it. They need - Microtransactions. - 24/7 rails. - HTTP-native settlement (!!) - Finality guarantees. - No subscriptions. No accounts. - Pay at the point of consumption and move on. Cards weren't designed for this. Nothing was. --- So it needs to be completely rethought Now on Stripe Agents can now pay for API calls, compute, and data through the same PaymentIntents API millions of businesses already use. Settled in seconds. --- Stripe says billions the billions of humans will lead to trillions of agents. If even 10% of that plays out, machine payments become the fastest-growing payment category on earth. --- But here's the part that keeps me up at night — If every PSP builds its own proprietary agent payment flow, we repeat the same fragmentation mess that took human payments 15 years to sort out. We need internet native, IETF-grade, ready-for-scale standards that don't over-index on crypto. Protocols that work across any network, any rail, any provider. --- Stripe just proved the market is coming. Now we need protocols and infrastructure ready for scale. PS. Machine is a better word than agentic isn't it.
2:37

I just watched a machine buy something on Stripe. No card. No human. No checkout. Stripe Dev shipped it yesterday — machine payments, live in preview. Commerce isn't designed for machines. --- We need to re-organize around that thought. It is designed for humans. He's right. Every fraud model, every auth flow, every billing system we've built assumes a person is on the other end. Agents break all of it. They need - Microtransactions. - 24/7 rails. - HTTP-native settlement (!!) - Finality guarantees. - No subscriptions. No accounts. - Pay at the point of consumption and move on. Cards weren't designed for this. Nothing was. --- So it needs to be completely rethought Now on Stripe Agents can now pay for API calls, compute, and data through the same PaymentIntents API millions of businesses already use. Settled in seconds. --- Stripe says billions the billions of humans will lead to trillions of agents. If even 10% of that plays out, machine payments become the fastest-growing payment category on earth. --- But here's the part that keeps me up at night — If every PSP builds its own proprietary agent payment flow, we repeat the same fragmentation mess that took human payments 15 years to sort out. We need internet native, IETF-grade, ready-for-scale standards that don't over-index on crypto. Protocols that work across any network, any rail, any provider. --- Stripe just proved the market is coming. Now we need protocols and infrastructure ready for scale. PS. Machine is a better word than agentic isn't it.

Simon Taylor

32,667 views • 6 months ago

When someone in New York buys Sabyasachi Mukherjee’s brand or Purple Style Labs (PSL), why should their checkout feel any different from shopping at a luxury store on Fifth Avenue? Razorpay just launched Apple Pay for Indian businesses, and it's solving exactly this problem. Indian brands can finally offer their international customers the same smooth, one-tap payment experience they're used to. While India runs on UPI, the West lives on Apple Pay. And we built the bridge for businesses to cater to all kinds of consumers. A great example is the D2C brand Ensemble India which sells to Indian diaspora and consumers across the world. Since launch, Indian businesses are seeing 50%+ better payment success rates, way fewer cart abandonments, and fraud has dropped to almost zero thanks to biometric verification. Early access is live. If you want to start accepting international Apple Pay payments, apply here:
0:31

When someone in New York buys Sabyasachi Mukherjee’s brand or Purple Style Labs (PSL), why should their checkout feel any different from shopping at a luxury store on Fifth Avenue? Razorpay just launched Apple Pay for Indian businesses, and it's solving exactly this problem. Indian brands can finally offer their international customers the same smooth, one-tap payment experience they're used to. While India runs on UPI, the West lives on Apple Pay. And we built the bridge for businesses to cater to all kinds of consumers. A great example is the D2C brand Ensemble India which sells to Indian diaspora and consumers across the world. Since launch, Indian businesses are seeing 50%+ better payment success rates, way fewer cart abandonments, and fraud has dropped to almost zero thanks to biometric verification. Early access is live. If you want to start accepting international Apple Pay payments, apply here:

Shashank Kumar

12,182 views • 1 year ago

The Fraud Industrial Complex has crossed into RICO territory... AI is now pulling the entire structure into view by linking stolen identities, foreign call centers, compromised providers, shell companies, banks, cryptocurrency, synthetic consent, Medicare, Medicaid, and billions in extracted public money into one coordinated enterprise... The fraud was spread across institutions, jurisdictions, and borders to keep the machine hidden, yet every claim, payment, provider, account, transfer, digital signature, front company, recruiter, doctor, broker, banker, data thief, and money launderer now lands on the same conspiracy map... This is the shift... the government is moving upstream, seeing the network while it operates, stopping payments before they clear, tracing the money as it moves, and building the full enterprise from the ground up... watch the video below... AI connects the pattern... RICO captures the structure... and the Fraud Industrial Complex is being dismantled as one living system...
0:51

The Fraud Industrial Complex has crossed into RICO territory... AI is now pulling the entire structure into view by linking stolen identities, foreign call centers, compromised providers, shell companies, banks, cryptocurrency, synthetic consent, Medicare, Medicaid, and billions in extracted public money into one coordinated enterprise... The fraud was spread across institutions, jurisdictions, and borders to keep the machine hidden, yet every claim, payment, provider, account, transfer, digital signature, front company, recruiter, doctor, broker, banker, data thief, and money launderer now lands on the same conspiracy map... This is the shift... the government is moving upstream, seeing the network while it operates, stopping payments before they clear, tracing the money as it moves, and building the full enterprise from the ground up... watch the video below... AI connects the pattern... RICO captures the structure... and the Fraud Industrial Complex is being dismantled as one living system...

Observing Consciousness

57,360 views • 2 months ago