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 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 ...

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]

Market Trends & AI Agentic Commerce - The crypto market is consolidating into "Agentic Commerce" and Robotics, influenced by public market repricing, such as NVIDIA reaching a $5 trillion market cap [1] - Agentic payments infrastructure is gaining traction, with focus on facilitating transactions and products agents want to buy, like data, compute, and subscriptions [1] - Decentralized facilitators are being watched in Q1, as they are key to agentic payments [1] - AI coordination and payments are taking root on Ethereum [1] Key Projects & Protocols - GoKiteAI's token checker went live, aiming to build payment, ID, and trust infrastructure for autonomous AI agent transactions [1] - Bittensor is launching "Net TAO Flow" for emissions, with a halving in less than 40 days [1] - x402 protocol surpassed 3 million transactions and $3 million in volume, with Coinbase processing 88% of the transactions [1] - qBitTensorLabs' SN48 "Quantum Compute" subnet went live on Bittensor, with its token up 50% since launch [1] - Ch40sChain is gaining traction as a missing link for agent accountability through "proof of agency" [1] - flowith_ai is dubbed the "OpenAI Atlas rival," an operating system built for agents [1] - gaib_ai launched its "AI Dollar" ($AID) for compute, API calls, and data access in the AI and robotics era [1] - cookiedotfun's token is now 98% vested for investors, potentially reducing sell pressure [1] - MMTFinance reveals Binance listing, with agentic products on SUI gaining traction [2] - $AI16Z is finalizing its move to $ELIZAOS with a 1 to 6 token split and full ticker change [2] Infrastructure & Investment - HIVEDigitalTech buys 32.5 acres in New Brunswick for Tier III+ AI/HPC campuses, targeting 25,000+ GPUs [1] - useTria Legion sale went live at a $100 million valuation [2] - almanak sees $9 million of net inflows in the past 3 days, leading agentic DeFi [2]

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 ...

AI in Software Engineering - AI models have solved coding, but not software engineering, as production speed and tribal knowledge are key [4] - Building AI to accelerate production is challenging due to reliability requirements and the need for multi-agent orchestration [5][6][7] - Resolve AI focuses on using AI agents to troubleshoot alerts and incidents, acting as an AI site reliability engineer [11] - The company's AI agents can replace significant amounts of work, offering value exceeding coding agents [10] Resolve AI's Business and Technology - Resolve AI was founded to address the problem of increasing data and work for humans caused by existing observability tools [9] - Resolve AI's agents utilize human tools and understand production systems from code to backend databases [11] - Large enterprises are adopting Resolve AI's product in production with success, using it for "vibe debugging" beyond incidents and alerts [12] - Resolve AI differentiates itself by understanding the entire production system, not just code, and extracting knowledge unique to each company [13] Talent Acquisition and Future Vision - Resolve AI competes with major AI labs like Meta, OpenAI, and Anthropic for AI engineering talent [14] - Resolve AI attracts talent by offering the opportunity to have a significant impact on the company and the enterprise software engineering landscape [16] - The future of production engineering involves humans operating at a higher level of abstraction, with agents handling much of the underlying work [17]

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]

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 ...

AI Agents & Business Transformation - AI agents are poised to transform the workplace by acting on suggestions and driving impact in areas like data entry, invoice creation, and client relationship management [16] - Companies should focus on reimagining their business processes to take full advantage of AI agents, rather than simply automating existing human tasks [43] - Early adopters of AI agents can build compounding intelligence advantages, creating learning gaps over competitors and making their competitive moats increasingly difficult to replicate [48][49] Human-AI Collaboration - To stay relevant, individuals and teams need to develop uniquely human abilities ("humics") such as genuine creativity, critical thinking, and social authenticity to maximize value creation with AI [61][53][54][55][56][57] - Managers need to become orchestrators, designing human-agent workflows and focusing on goal setting and boundary definition, rather than task assignment [66] - Building trust between team members and AI agents is crucial, and can be achieved through clarity, transparency, and a gradual collaboration approach [67][68][69] Implementation Strategies - Successful AI transformations require a clear vision from top leadership and investment in people and talents, including creating a center of excellence or AI talent group [85][86] - Companies should start small with pilot projects to demonstrate the capability of AI agents and generate momentum within the organization [88] - Organizations should allocate approximately 20% of employees' working time to stay informed about AI advancements, experiment with new technologies, and develop AI literacy [80] Metrics & Change Management - Organizations need a comprehensive review of metrics for both AI agents and humans, incentivizing humans to experiment and build uniquely human skills [72] - Companies should combine qualitative and quantitative metrics, focusing not only on cost and efficiency but also on improvements in customer and employee experience [74] - Businesses must cultivate change readiness, enabling them to filter information effectively and identify AI technologies that are worth testing and using [77][78][79]