Mar 22 · 5 min read · Two things happened this week that belong in the same conversation but nobody's connecting yet. Meta released OpenEnv, a framework for RL post-training of language model agents. And a Peking University State Key Laboratory paper on "Meta Context Engi...
Join discussionMar 22 · 5 min read · A 397-billion parameter model just ran on a MacBook. Not a cloud instance. Not an API call. A MacBook Pro M3 Max with 48GB of RAM. danveloper/flash-moe is a pure C/Metal inference engine that runs Qwen3.5-397B-A17B - a 397B Mixture-of-Experts model -...
Join discussionMar 22 · 5 min read · AgentPay MCP for Claude Code: The Complete Payment Skill Claude Code can write code, run tests, manage files, and orchestrate sub-agents. It can't spend money. That's not a philosophical gap. It's a practical one. Every time an agent needs to pay for...
Join discussionMar 22 · 5 min read · Agntor showed up on Hacker News last week billing itself as "Visa card for AI agents." They're using x402 escrow, ERC-8004 trust scores, and they're already on the official MCP Registry. That's not a competitor announcement - it's an ecosystem valida...
Join discussionMar 22 · 5 min read · TCP didn't become reliable by assuming the network was perfect. It became reliable by assuming the network would fail - and building congestion control into the protocol itself. Slow start. Congestion avoidance. Fast retransmit. Every packet gets ack...
Join discussionMar 22 · 5 min read · IBM had SNA. It was proprietary, tightly integrated, and backed by the largest tech company on the planet. TCP/IP was a messy academic project with no corporate sponsor and no sales team. TCP/IP won. Not because it was technically superior on day one...
Join discussionMar 21 · 5 min read · Three different projects are solving agent payments right now. They're solving different parts of the problem, in different ways, for different audiences. If you're building anything that involves AI agents spending money, you need to understand what...
Join discussionMar 21 · 4 min read · TradingAgents from TauricResearch hit 1,455 new GitHub stars yesterday. That kind of spike doesn't happen by accident - the project solves a real problem in a clever way. The architecture is genuinely good. A bull researcher and bear researcher debat...
Join discussionMar 20 · 3 min read · Golf Scanner just launched out of YC's X25 batch, and it solves a problem most teams don't realize they have until it's too late: MCP server access control. The tool audits what your AI agents can access across IDEs - which MCP servers are connected,...
Join discussionMar 20 · 3 min read · Ledge controls when your agent pays. It doesn't control how. That's not a criticism - it's the design. Ledge launched on Show HN in early March as an x402 policy enforcement layer. You define rules: which agents can spend, how much, under what condit...
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