finally completed my backlog, ready to start a new week of shipping a few thoughts on the past few days - very impressed by base trenches, lots of conviction, a good energy and tons of cool collaborations - aeon & miroshark ecosystem is growing so quickly. but i gotta be more careful on the curation, so i'm moving the ecosystem map update weekly - and i'll try to be more careful on that side - price action is interesting. wasn't expecting it to go that vertical, but at the same time when i compare aeon & miroshark to similar projects, that makes a ton of sense. - i'm scaling the team quickly, if you want to contribute feel free to drop a DM - we have tons of stuff to do now for the weekly roadmap (can't guarantee i'll ship 100%, but at least 80%) - brand new public token framework / social contract - aeon v4 UI demo - X integration for MiroShark - token-launch skill on aeon - new skills to showcase community contribution on aeon & miroshark - launch of marketing campaign on reddit for both - miroshark api for ecosystem - probably lots of cool skills for aeon - XAI / Grok integration for aeon runtime i will also make new articles to reintroduce the vision to everyone new. meanwhile, i urge you to check the two repos & ask chatgpt / claude / grok / whatever AI to make you an overview of how that work & the strength / weakness of the architecture. dont spend too much time on the social metrics, github stars can be easily faked. spend your time understanding the potential, see the real adoption by projects totalling +$1M MC already & compare with existing frameworks. there are already two +$1B valuation AI simulation companies that compete with miroshark (aaru & simile) for aeon it depends on how you evaluate the value of a harness, i'd say that claude code has been the biggest driver of adoption of a $1T company, so it's a very important number right now. onward, grateful for the support, now it's war time

Simulated 'Xiaomi MiMo $2M compute subsidy and the transition to infinite free tiers' - with 14 agents & 354 actions. - The shift to infinite free tiers collapsed SaaS unit economics, turning AI from a high-margin product into a low-margin utility where profitability hinges solely on cost-per-token reduction. - Physical grid capacity replaced capital as the primary bottleneck, with data centers in Beijing and Shenzhen hitting thermal limits and triggering "kinetic curtailment" by grid operators. - A counter-intuitive 15% drop in H100 spot pricing occurred as agents fled premium silicon for hardware-agnostic architectures to survive the zero-margin "compute dumping" environment.