Market Trends & AI Agentic Commerce - The crypto market is consolidating into "Agentic Commerce" and Robotics, influenced by the upward reprice of public markets like NVIDIA reaching a $5 trillion market cap [1] - Agentic payments infrastructure is gaining traction, with value expected to accrue to infrastructure facilitators or products agents want to buy, such as data, compute, and subscriptions [1] - Decentralized facilitators for agentic transactions are worth monitoring in Q1, as highlighted by x402 protocol surpassing 3 million transactions and $3 million in volume, with Coinbase processing 88% of the transactions [1] Key Projects & Developments - GoKiteAI's token checker is live, rewarding early supporters, with a Binance launchpool and whitepaper published to build payment, ID, and trust infrastructure for AI agents [1] - Bittensor is launching "Net TAO Flow" for emissions, where net inflow of TAO attracts more emissions, with a halving in less than 40 days [1] - qBitTensorLabs' SN48 "Quantum Compute" subnet went live on Bittensor, with its token up 50% since launch [1] - Ch40sChain is gaining traction as a missing link for agent accountability through "proof of agency," offering a security layer for agent interactions [1] - Flowith_ai is emerging as an "OpenAI Atlas rival," an operating system built for agents, indicating traction in agentic browsing systems [1] - AI Dollar ($AID) launched by gaib_ai, is an agentic stablecoin used for compute, API calls, and data access in the AI and robotics era [1] - Crypto.com introduced its Model Context Protocol (MCP), enabling agents to interact with real-world data [1] - Virtuals Protocol is supporting AI coordination and payments on Ethereum, as discussed by Tom Lee and ethermage [1] - ACO, the AI Creative Stack built on Virtuals Protocol and powered by AcolytAI, is set to distribute top-tier videos [1] Infrastructure & Investment - Hive Digital Technologies is investing in AI/HPC campuses, acquiring 32.5 acres in New Brunswick, targeting 25,000+ GPUs [1] - Tria Legion sale went live at a $100 million valuation, integrating across multiple infoFi protocols [2] - Almanak sees $9 million of net inflows in the past 3 days, leading agentic DeFi with 10x the assets under agent compared to the second place [2] Tokenomics & Market Activity - Cookiedotfun's token is now 98% vested for investors, suggesting possible reductions in sell pressure [1] - $AI16Z is finalizing its move to $ELIZAOS with a 1 to 6 token split and full ticker change [2]

RT s4mmy (@S4mmyEth)The broader crypto market may be down, but attention is consolidating into "Agentic Commerce" + RoboticsAs public market reprice upwards [NVIDIA is the first co' to hit a $5T market cap!] it means private valuation benchmarks also re-rate upHere's a rundown since last week:- @GoKiteAI Token checker goes live; rewards to early supporters. Binance launchpool + whitepaper published; the vision is to build the payment, ID & trust infra that currently prevents AI agents from transacting auton ...

RT YQ (@yq_acc)As promised, 8004's article is out. I spent past few weeks on x402 and 8004. This one is a bit technical on its architecture(id, reputation, validation), importance and implementation, etc., as I need to know all the details to build https://t.co/h69rBuimhV, the explorer for AI agents on the ERC-8004 protocol. Thx to the great work on 8004 from @DavideCrapis @marco_derossi @13yearoldvc @tkstanczak @ethereumfndn ...

Today's conversation is with Spiro Zanthos. Spiros is a serial entrepreneur who's achieved two successful exits to Splunk and VMware. Now he and his co-founder May Agaral are on a mission to rethink software engineering tools for an AI first world with their new company Resolve AI.In our conversation, Spiro shares the status of productivity gains from AI and software engineering. How Resolve was born after realizing he spent 15 years in infrastructure and observability software just creating more work for h ...

RT s4mmy (@S4mmyEth)The broader crypto market may be down, but attention is consolidating into "Agentic Commerce" + RoboticsAs public market reprice upwards [NVIDIA is the first co' to hit a $5T market cap!] it means private valuation benchmarks also re-rate upHere's a rundown since last week:- @GoKiteAI Token checker goes live; rewards to early supporters. Binance launchpool + whitepaper published; the vision is to build the payment, ID & trust infra that currently prevents AI agents from transacting auton ...

0G pumping today.They also released something cool for their One Gravity NFTs last month, still holding one of them.TLDR they rolled out AIverse, a platform that basically bridges NFTs and AI agents. Similar to how dynamic metadata became a thing, this could be another cool feature for NFTs that goes beyond collectibles.Happy to be partnered with them ...

RT BNB Chain Developers (@BNBChainDevs)Ever imagined owning and training your own AI agents?@chatandbuild’s NFA makes it possible—powered by BAP-578 on BNB Chain, with gas-optimized contracts and built-in treasury integration 👇https://t.co/YwExTUZB12 ...

And this is, I think, the most important outcome that I've had from more than two decades of implementing those technologies is the companies that succeed are only the ones that put the people in the center of that transformation. Welcome to WorkLab, the podcast from Microsoft. I'm your host, Molly Wood.On WorkLab, we talk to experts about AI and the future of work, from how the technology can supercharge human capabilities to how it can transform entire organizations. Our guest today is Pascal Bornet. Born ...

RT Avi Chawla (@_avichawla)MCP & A2A (Agent2Agent) protocol, clearly explained!Agentic applications require both A2A and MCP.- MCP provides agents with access to tools.- A2A allows agents to connect with other agents and collaborate in teams.Let's understand what A2A is and how it can work with MCP:> What is A2A?A2A (Agent2Agent) enables multiple AI agents to work together on tasks without directly sharing their internal memory, thoughts, or tools.Instead, they communicate by exchanging context, task update ...

Core Concepts - A2A (Agent2Agent) enables AI agents to collaborate without sharing internal data, thoughts, or tools [1][2] - MCP provides agents with access to tools, while A2A facilitates agent-to-agent communication and teamwork [1] - A2A agents can be modeled as MCP resources using AgentCards [2] Functionality and Benefits - A2A supports secure collaboration, task and state management, UX negotiation, and capability discovery [3] - A2A allows agents from different frameworks to work together [3] - Remote Agents supporting A2A must publish a JSON Agent Card detailing their capabilities and authentication [2] Industry Implications - Standardizing Agent-to-Agent collaboration is beneficial, similar to MCP's role in Agent-to-tool interaction [3] - Clients can use Agent Cards to find the best agent for a task [3]