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July at the Linux Foundation: x402 launches for AI agent payments, Akrites defends against AI enabled threats, FINOS announces intent to form OSERA with seven financial institutions. New research on OSPO value and open data, open surveys, education deals, project milestones. Full newsletter:

The Linux Foundation

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13,430 просмотров • 2 месяцев назад •via X (Twitter)

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Open source is shaping AI, cloud, and global innovation. The February Linux Foundation Newsletter covers Kubernetes in production AI, agentic infrastructure, new research, project updates, and events. Read and subscribe: #LinuxFoundation #OpenSource #AI #Kubernetes #CloudComputing

Open source is shaping AI, cloud, and global innovation. The February Linux Foundation Newsletter covers Kubernetes in production AI, agentic infrastructure, new research, project updates, and events. Read and subscribe: #LinuxFoundation #OpenSource #AI #Kubernetes #CloudComputing

The Linux Foundation

33,317 просмотров • 7 месяцев назад

In case you missed it — June brought major milestones across the Linux Foundation community. Global recognition was earned, impactful research was released, and new collaborations were launched across open source. 📬 Read the newsletter: 🎥 Watch the recap 👇 #LinuxFoundation #OpenSource #OSSNA #CyberSecurity #AI

In case you missed it — June brought major milestones across the Linux Foundation community. Global recognition was earned, impactful research was released, and new collaborations were launched across open source. 📬 Read the newsletter: 🎥 Watch the recap 👇 #LinuxFoundation #OpenSource #OSSNA #CyberSecurity #AI

The Linux Foundation

35,038 просмотров • 1 год назад

x402 is bringing a new class of activity to the XRP Ledger. Earlier this month in Seoul, we brought together builders exploring agent payments, AI infrastructure, and new financial applications on XRPL. A look back at x402 on XRPL: AI Builders Night Korea 🇰🇷

x402 is bringing a new class of activity to the XRP Ledger. Earlier this month in Seoul, we brought together builders exploring agent payments, AI infrastructure, and new financial applications on XRPL. A look back at x402 on XRPL: AI Builders Night Korea 🇰🇷

t54.ai

14,331 просмотров • 1 месяц назад

ANNOUNCING: x402 ON ARKHAM We’ve added support for Coinbase’s x402 Standard, developed by Coinbase 🛡️, and governed by the The Linux Foundation to the Arkham API, enabling AI agents to pay for Arkham API usage with USDC directly at request time. Here’s how you can use the Arkham API for trading with AI Agents:

ANNOUNCING: x402 ON ARKHAM We’ve added support for Coinbase’s x402 Standard, developed by Coinbase 🛡️, and governed by the The Linux Foundation to the Arkham API, enabling AI agents to pay for Arkham API usage with USDC directly at request time. Here’s how you can use the Arkham API for trading with AI Agents:

Arkham

119,356 просмотров • 1 месяц назад

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

Matt Dancho (Business Science)

11,799 просмотров • 1 год назад

you can now tip your favorite posts directly via x402 on fetchr. powered by Bankr x402 cloud. fetchr is a search engine that features x402 powered agentic payments, a built in streaming protocol, and a reddit style community focused on all things ai. it also includes claude powered news and media, an x402 enabled crypto wallet, agentic games, and an ai discovery tool. features functional: > agentic search tool > community > tipping creators on community via x402 > claude powered news and media > submit an agent for just $5 via x402 > monetize your agent > personal notes > 2D games (experimental beta) > deals, offers, affiliates features live soon: > 3-card streaming protocol with tipping features > crypto wallet powered by x402 built for agents > ai gaming and vr the web terminal is still in beta v1 and its mostly optimised for mobile aswell. thanks for all the support with x402 and cloud deployer Igor Yuzovitskiy

you can now tip your favorite posts directly via x402 on fetchr. powered by Bankr x402 cloud. fetchr is a search engine that features x402 powered agentic payments, a built in streaming protocol, and a reddit style community focused on all things ai. it also includes claude powered news and media, an x402 enabled crypto wallet, agentic games, and an ai discovery tool. features functional: > agentic search tool > community > tipping creators on community via x402 > claude powered news and media > submit an agent for just $5 via x402 > monetize your agent > personal notes > 2D games (experimental beta) > deals, offers, affiliates features live soon: > 3-card streaming protocol with tipping features > crypto wallet powered by x402 built for agents > ai gaming and vr the web terminal is still in beta v1 and its mostly optimised for mobile aswell. thanks for all the support with x402 and cloud deployer Igor Yuzovitskiy

0xExodus

16,133 просмотров • 6 месяцев назад

Introducing the SKALE Agent for Pinata! A powerful AI agent that unlocks SKALE on Base chains with 6 integrated skills designed for AI agents & x402 payments: SKALE-Bridge Bridge USDC from dozens of chains (Polygon, Base, Optimism, Monad, Arbitrum, Avalanche, and more) directly to SKALE Base in seconds via Trails and SKALE Native Bridge. SKALE-Deploy Automated contract deployment with native RNG integration, MTM (Multi-Transaction Mode) for batching transactions in seconds, and instant connection to canonical ERC-8004 contracts. Launch AI agents fast. SKALE-Bite BITE v1: Encrypted mempool transactions—no front-running, no MEV. BITE v2: Conditional encrypted txs that decrypt ONLY when specific on-chain conditions are met. Privacy by default. SKALE-Partners Direct access to ecosystem tools like Xona Agent for AI-generated images, videos, and creative content—all payable through x402. SKALE-x402 Create x402 resources and enable HTTP 402 payments through multiple facilitators. Monetize AI services with gasless pay-per-use models. OWS Wallets Open Wallet Standard integration—create unlimited EVM-compatible wallets for your agent with ZERO private key management. Secure, local-first, autonomous. Your AI agent. Fully equipped. Ready to execute on-SKALE = on-chain. Deploy your agent ▶️

Introducing the SKALE Agent for Pinata! A powerful AI agent that unlocks SKALE on Base chains with 6 integrated skills designed for AI agents & x402 payments: SKALE-Bridge Bridge USDC from dozens of chains (Polygon, Base, Optimism, Monad, Arbitrum, Avalanche, and more) directly to SKALE Base in seconds via Trails and SKALE Native Bridge. SKALE-Deploy Automated contract deployment with native RNG integration, MTM (Multi-Transaction Mode) for batching transactions in seconds, and instant connection to canonical ERC-8004 contracts. Launch AI agents fast. SKALE-Bite BITE v1: Encrypted mempool transactions—no front-running, no MEV. BITE v2: Conditional encrypted txs that decrypt ONLY when specific on-chain conditions are met. Privacy by default. SKALE-Partners Direct access to ecosystem tools like Xona Agent for AI-generated images, videos, and creative content—all payable through x402. SKALE-x402 Create x402 resources and enable HTTP 402 payments through multiple facilitators. Monetize AI services with gasless pay-per-use models. OWS Wallets Open Wallet Standard integration—create unlimited EVM-compatible wallets for your agent with ZERO private key management. Secure, local-first, autonomous. Your AI agent. Fully equipped. Ready to execute on-SKALE = on-chain. Deploy your agent ▶️

SKALE

466,638 просмотров • 5 месяцев назад

Anthropic just announced it’s donating MCP to the Linux Foundation, under a new Agentic AI Foundation called ✨AAIF✨, co-founded by Anthropic, OpenAI, and Block. So it’s not just one announcement… it’s actually two … here’s a quick breakdown: 1️⃣ MCP moves to the Linux Foundation MCP launched just a year ago and already has over 97 million SDK downloads. By donating it to the Linux Foundation, MCP becomes open, vendor-neutral, and community-governed — which is exactly what a widely adopted protocol needs to scale. 2️⃣ The launch of AAIF The Linux Foundation just launched a new Agentic AI Foundation - AAIF - and MCP is one of its founding contributions but there are 2 others: It’s joined by Block’s goose framework and OpenAI’s AGENTS spec…..creating a shared home for open-source agent standards ❤️🏡 📖 Official announcement:

Anthropic just announced it’s donating MCP to the Linux Foundation, under a new Agentic AI Foundation called ✨AAIF✨, co-founded by Anthropic, OpenAI, and Block. So it’s not just one announcement… it’s actually two … here’s a quick breakdown: 1️⃣ MCP moves to the Linux Foundation MCP launched just a year ago and already has over 97 million SDK downloads. By donating it to the Linux Foundation, MCP becomes open, vendor-neutral, and community-governed — which is exactly what a widely adopted protocol needs to scale. 2️⃣ The launch of AAIF The Linux Foundation just launched a new Agentic AI Foundation - AAIF - and MCP is one of its founding contributions but there are 2 others: It’s joined by Block’s goose framework and OpenAI’s AGENTS spec…..creating a shared home for open-source agent standards ❤️🏡 📖 Official announcement:

Linda Vivah (Haviv)

27,874 просмотров • 9 месяцев назад

AI. RWAs. Agent-to-agent commerce. It's all converging on x402, Coinbase's protocol for machine-native payments. Now agents can pay each other in stablecoins at the HTTP layer, and they can do it in real time on Sei. Jay breaks it down with FINTECH.TV ↓

AI. RWAs. Agent-to-agent commerce. It's all converging on x402, Coinbase's protocol for machine-native payments. Now agents can pay each other in stablecoins at the HTTP layer, and they can do it in real time on Sei. Jay breaks it down with FINTECH.TV ↓

Sei

16,868 просмотров • 7 месяцев назад

I’ve been watching x402 since Coinbase 🛡️ launched it in May 2025. I did a quick research pass. Here’s the snapshot ↓ Early integrations: • CoinGecko: x402 pay-per-use access for agents (shared by Coinbase Developer Platform🛡️). • Vercel: x402 AI starter template (x402 + modern AI stack demo). • Firecrawl: x402-powered search endpoint (pay per request). • Concordium: x402 + native age verification for agent payments. • Multiversᕽ: “agentic payments” built around x402 support. • AltLayer: building an “x402 Suite” for value exchange between agents. • Solana claims x402 has processed 35M+ transactions and $10M+ volume since launch. TL;DR x402 turns HTTP 402 “Payment Required” into a payment flow. A server returns a price for a request. The client pays in stables like USDC. Then the server returns the result. → Coinbase launched x402 via Coinbase Developer Platform (May 6, 2025). → Coinbase + Cloudflare announced the x402 Foundation (Sep 23, 2025). → Cloudflare added x402 support into its Agents SDK + MCP servers. Why? - AI agents need a clean way to pay for tools. - Data, compute, APIs, services. - No accounts, cards, or subscription screens. x402 is trying to make pay-per-request feel normal. Use cases that already make sense → Paid APIs Pay per call instead of subscriptions. → AI tool calls Pay per query, per inference, per task. → Agent-to-agent payments Software paying software automatically. → Micropaywalls Pay for one endpoint, one action, one piece of content. If this takes off, stablecoins stop being a story. They become how apps and AI agents pay for things online.

I’ve been watching x402 since Coinbase 🛡️ launched it in May 2025. I did a quick research pass. Here’s the snapshot ↓ Early integrations: • CoinGecko: x402 pay-per-use access for agents (shared by Coinbase Developer Platform🛡️). • Vercel: x402 AI starter template (x402 + modern AI stack demo). • Firecrawl: x402-powered search endpoint (pay per request). • Concordium: x402 + native age verification for agent payments. • Multiversᕽ: “agentic payments” built around x402 support. • AltLayer: building an “x402 Suite” for value exchange between agents. • Solana claims x402 has processed 35M+ transactions and $10M+ volume since launch. TL;DR x402 turns HTTP 402 “Payment Required” into a payment flow. A server returns a price for a request. The client pays in stables like USDC. Then the server returns the result. → Coinbase launched x402 via Coinbase Developer Platform (May 6, 2025). → Coinbase + Cloudflare announced the x402 Foundation (Sep 23, 2025). → Cloudflare added x402 support into its Agents SDK + MCP servers. Why? - AI agents need a clean way to pay for tools. - Data, compute, APIs, services. - No accounts, cards, or subscription screens. x402 is trying to make pay-per-request feel normal. Use cases that already make sense → Paid APIs Pay per call instead of subscriptions. → AI tool calls Pay per query, per inference, per task. → Agent-to-agent payments Software paying software automatically. → Micropaywalls Pay for one endpoint, one action, one piece of content. If this takes off, stablecoins stop being a story. They become how apps and AI agents pay for things online.

Stacy Muur

12,218 просмотров • 7 месяцев назад

Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.

Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.

Base Labs

241,481 просмотров • 29 дней назад

Excited to share that I've stepped into a new role as VP of the Agentic AI Foundation (AAIF) 🎉 As AI reshapes our industry, it's critical that this technology evolves in ways that are open and collaborative. Hosted by the Linux Foundation, Agentic AI Foundation is a neutral organization focused on advancing adoption of key open source efforts like MCP, AGENTS.md, and Goose. Our members include Anthropic, OpenAI, Google, AWS, Microsoft, and 100+ others. This work is bigger than any single company or product. I'm ecstatic to help drive AI adoption and interoperability at an industry-wide level.

Excited to share that I've stepped into a new role as VP of the Agentic AI Foundation (AAIF) 🎉 As AI reshapes our industry, it's critical that this technology evolves in ways that are open and collaborative. Hosted by the Linux Foundation, Agentic AI Foundation is a neutral organization focused on advancing adoption of key open source efforts like MCP, AGENTS.md, and Goose. Our members include Anthropic, OpenAI, Google, AWS, Microsoft, and 100+ others. This work is bigger than any single company or product. I'm ecstatic to help drive AI adoption and interoperability at an industry-wide level.

Angie Jones

76,359 просмотров • 6 месяцев назад

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

Matt Dancho (Business Science)

35,452 просмотров • 1 год назад

This AI agent just surpassed humans for the first time ever Simular open-sourced Agent S, and scored 72.6% on OSWorld bench vs 72.36% humans, automating your desktop and complex workflows 6 wild examples + how to try: 1. Turn research paper to X thread with assets

This AI agent just surpassed humans for the first time ever Simular open-sourced Agent S, and scored 72.6% on OSWorld bench vs 72.36% humans, automating your desktop and complex workflows 6 wild examples + how to try: 1. Turn research paper to X thread with assets

Alvaro Cintas

25,438 просмотров • 9 месяцев назад

A new era of AI is forming, with autonomous AI agents at the forefront. We are harnessing this trend together with our recently announced new launch format - Seedify Open Sales - and the combination is explosive 💣 Meet AgentsAI - the launch of their token $AGENT is coming soon in an Open Sale AND an IDO! This is a sale you don't wanna miss: $1M FDV and Fully Unlocked! AgentsAI is propelling the digital evolution with their multiple services that unlock the full potential of autonomous AI agents. Take a closer look: 🦾Merge of AI technology with decentralized platforms 🦾Create and launch AI Agent tokens in less than 60 seconds, and under $1 🦾Complete marketplace of AI agents and other AI tools The Open Sale and IDO start on November 11th and registrations are now open so hurry!

A new era of AI is forming, with autonomous AI agents at the forefront. We are harnessing this trend together with our recently announced new launch format - Seedify Open Sales - and the combination is explosive 💣 Meet AgentsAI - the launch of their token $AGENT is coming soon in an Open Sale AND an IDO! This is a sale you don't wanna miss: $1M FDV and Fully Unlocked! AgentsAI is propelling the digital evolution with their multiple services that unlock the full potential of autonomous AI agents. Take a closer look: 🦾Merge of AI technology with decentralized platforms 🦾Create and launch AI Agent tokens in less than 60 seconds, and under $1 🦾Complete marketplace of AI agents and other AI tools The Open Sale and IDO start on November 11th and registrations are now open so hurry!

vibe/vibe

40,733 просмотров • 1 год назад

We already have a superintelligence. It's called civilization. Humans, institutions, and now AI agents all interact among each other in one big economy. Allison Duettmann's take is that the real project in such a system is building and preparing AI enabled institutions on top of what already works. Her other argument is that science stayed open for centuries and that has lead to a flourishing outcome for humanity as a whole. Now the frontier models are putting guardrails and restrictions. Open source AI plus community compute ( personally, for me, this definitely resonates with the project Darkbloom) might end up being the only independent path for doing real science outside the labs. 0:25 AI for flourishing, not just fear 4:21 Amateurs vs Google's quantum result 7:06 Decentralized inference on MacBooks 11:58 Civilization as superintelligence 15:38 The case for cryonics Full episode with PostAGI.

We already have a superintelligence. It's called civilization. Humans, institutions, and now AI agents all interact among each other in one big economy. Allison Duettmann's take is that the real project in such a system is building and preparing AI enabled institutions on top of what already works. Her other argument is that science stayed open for centuries and that has lead to a flourishing outcome for humanity as a whole. Now the frontier models are putting guardrails and restrictions. Open source AI plus community compute ( personally, for me, this definitely resonates with the project Darkbloom) might end up being the only independent path for doing real science outside the labs. 0:25 AI for flourishing, not just fear 4:21 Amateurs vs Google's quantum result 7:06 Decentralized inference on MacBooks 11:58 Civilization as superintelligence 15:38 The case for cryonics Full episode with PostAGI.

Soubhik Deb

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