The way to save Ethereum: The community needs to create an organization that's economically aligned with Ethereum and accountable to it. The EF now holds less than 0.1% of all ETH. There is no flow of Ethereum staking or fee revenues to it. If we want to get Ethereum back to winning: - create an organisation with credible funding, minimum $1b as a start. That's very reasonable for an ecosystem with $250b market cap - find a leader who is competent and wants to fight - make it accountable: a board of people who want ETH to go up, and a charter that holds the org accountable to it - fund it permanently: A significant amount of staking revenue needs to go to it. A governance mechanism that can adjust it (also part of accountability). Very hard to imagine now, but I think this is the only way (and it will probably happen, but it might take a long time before it is consensus).

Called “The Real Sleeping Giant” by @jessepollak on @base AI ecosystem, Aeon and Miro are basically two halves of the same whole. Here’s our 30-second, no-fluff breakdown. --- ➠ Miroshark + Aeon TL;DR Both Miroshark and Aeon built by same person, @aaronjmars, in a nutshell it works by: - @aeonframework = the autonomous “doer” / background operating system → Execution/ Automation Layer - @miroshark_ = the swarm intelligence / simulation “brain” for modeling what-if scenarios and collective reasoning → Intelligence / reasoning layer They’re designed to work together. Aeon can run MiroShark simulations autonomously or use its outputs to make better decisions. MiroShark gives Aeon (or other agents) powerful “swarm thinking” capabilities that single agents lack. --- ➠ MiroShark / $MIROSHARK MiroShark is based on MiroFish, which lets hundreds of AI agents interact in a deep simulated real-time social media environment (X/Twitter-style + Reddit), hour by hour, over multiple rounds with extremely cheap and fast output (~$1 and under 10 minutes) MiroShark tracks belief shifts, influence networks, sentiment, and outcomes, and generates a detailed report showing how the narrative might play out in the real world. --- ➠ Aeon / $AEON By contrast, Aeon is a true “configure once, then walk away” autonomous agent platform: User can choose from 120+ plug-and-play skills, set its cadence, and define what it should care about. After that, it lives entirely inside GitHub Actions, no servers to run, no constant hand-holding. Its skill library spans: - Research & content - Engineering/code (PR review, repo monitoring, auto-merge) - Crypto & markets (DeFi watchlists, token alerts, Polymarket tracking) - Social + writing - Productivity - Meta skills (self-repair, quality grading, iterative improvement) The real edge is genuine autonomy: - Self-healing loop: it evaluates its own work, spots failures or drift, then patches and restores broken skills automatically. - Long-term memory plus spend/cost telemetry. - Skill chaining into repeatable pipelines. - Can spin up a specialized “fleet” of focused instances. - Pings you (Telegram/Discord/Slack/email) only when it actually matters. --- ➠ The Ecosystem To date Aeon already integrated several BASE AI projects into its ecosystem: - @bankrbot - @cobotgg - @venicekernel - @ClawHarbor - @blueagent_ - @revaultdrops - @bankrsynth - @AUTONOMOPOLY_ - @root_edge - @helloamper --- ➠ Final Take This is one of the AI full-stack experiments in the current Base AI wave. Not just tools, another wrapper but a philosophy: simulate the future credibly, execute autonomously, coordinate belief into reality. The integration ecosystem is expanding, the tech is public and improving rapidly, and the creator, Aaron, is treating it as a long-term vision rather than a quick flip. NFA.DYOR.