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@aaronjmars
@aaronjmars
agi architect || @aeonframework@miroshark_ 🦈
982 Following    12.7K Followers
we're serious about @aeonframework autonomy ⭐ here is how aeon self-healing features works: - every skill run gets scored 1–5 by Haiku and appended to a 30-run rolling history with any failure flags attached. - heartbeat reads that history daily and flags what's stuck, missing, or failing on a schedule nobody's watching. - skill-health reads the shape of the history rather than the last run. a skill drifting from 5s to 3s is a problem before it's an outage. - three consecutive failures fire skill-repair automatically: diagnose the root cause, patch the skill, close the issue. - self-improve rewrites prompts and configs from the accumulated data, which changes the runs that produce the next batch of data.
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Ownership coins are at least a 10-100x bigger opportunity than tokenized equities.
> raise 1.5M > directly spend 2% of funds (30k) for a Pump Fun bounty, begging Ansem to launch a coin on their platform is this the future of GTM?
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
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this list is about to explode when i release the miroshark-api repo one endpoint, hundred agents, the best simulation in the industry
big week-end, we've reached $14M MC on aeon / $4M on MiroShark ⭐🦈 thanks to all early believers, now back to work we have a busy week ahead
study the level of conviction in early $aeon $miroshark holders (and study
miroshark is going to hit X replies streets like crack coming soon next week, load your tokens for access
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.
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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.
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MiroShark just integrated @origin_trail 🦈 - Publish any simulation on-chain in one click - Get a permanent, tamper-proof link to the result - Citations stay alive forever
Anything an agent can encode, an agent can respect.
We called it sub 100k, and keep doing it > founder @aaronjmars is autisticly clever > aeon is autistic genius intelligence > $aeon is the first 100% autonomous agent > aeon is better than openclaw > @pmarca RT’d > 255k stars on github Primed for billions
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we dont do token tierlists anymore i miss that
another mind blow moment for @aeonframework - MiroShark is my swarm simulation project - and every day, aeon autonomously adds new features to it. - It's usually a better UI, improve perfs, new channels, stuff like this. - But today something crazy happened. - My MiroShark aeon instance have skills that allow him to read X & Github. - It saw that @revaultdrops wanted to integrate MiroShark by seeing the tweets. Guess what happened? aeon magically understood that Revault runs on Discord - and shipped a better Discord integration specifically for them. Do you see how many levels of intelligence are required to do that? You need to see the Revault integration. Then you need to understand what their project is about. Then you need to understand how Discord works. Then you need to understand how to integrate it smoothly on Discord. The most autonomous agent framework.
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main changes on the ranker: - freshness - now sees how old each post is - dwell time - it sees how long you looked - location - a hashed IP signal feeds into your profile - new users - get routed to a dedicated ranker cluster - position anchoring - your most recent action always sits in the same spot, so recent activity counts consistently - language - each post's language is an input - media/video - video length influences scoring - mutual-follow overlap - how much your social graph overlaps with the author's - brand safety - every post gets a low/medium/high risk verdict - friends-in-thread - knows if people you follow already replied - served history - the system remembers what it already showed you - ads in safe gaps - ads avoid sitting next to sensitive content - continuous training loop - your impressions feed straight back into retraining
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The latest 𝕏 algorithm has been published to GitHub
wasnt expecting drake to talk about insider trading on polymarket, but yeah.