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Welcome to my AI and Dev journal. I've been devving in crypto since 2021 started with NFTs then meme coins. Now I continue to build, with a heavy focus on AI.
Some of my top coins were:
$MICKEY (ETH) $16M
$CITYBOYS (ETH) $4M
$pog (ETH) $3M
$gudtek (SOL) $16M
$Bonkyo (SOL) $11M
$Toli (SOL) $4M
$cc (sol) $11.5M (still working on it heavily)
There is many more in there, these are the ones I can remember off hand. Looking forward to updating you on what I am working on and also connecting with other builders in the space.
Too many copy traders on my Bonkyo deployer tbh
Havent been launching as much after building crazy projects that would get insane volume usually
But dont do anything now
How about we just pair everything with this pear?
Dex update and making an x comm
Grok confirms that pears 26 million TONNES per year
Now you can finally pair with a fruit on chain this is giga
Want to get back into launching. But I just cant make a low quality project, I'm not a tweet dev. Everything I've built I think it can go to $10M+ and you can never know what rips and what doesnt.
People larping on my name saying they devved my projects
The "hot devs" these days are nothing but a bunch of proxima dopamine addicted geeks
I'm about to return to the trenches and shake shit up again
I have over 3 coins that exceeded $10M and countless other milly+ runners
Since Opus 5.5 talk I swear Fable 5.1 has been running faster and more efficient, anyone else notice this?
SEC has approved a 5 year temporary exemption for trading of tokenized securities on chain. Market could PAMP here!
Arc mainnet is out
Interesting time to release
Felt like their hype was months ago
Lets see how this plays out
The great chain wars of 2026
GPT6 Astra is really good. But it's very expensive and gets lost in delusions draining credits. The quality of work exceeds Fable, however it will cost you 5-10x more and take 5-10x longer. The quality is good, I think if you are building a very serious product and have the time and budget Astra is good but 95% of time I'll be using Fable for now. Tbh these overages are absolutely ridiculous.
FLY SCHOOL: the first results are in. 🪰🧠
Across our first 84 Food Runs:
• 64 student wins, 20 ties against the untrained baseline.
• 55 wrong turns versus the baseline’s 265.
• In 28 unaided exams, the student finished faster 23 times and tied 5 times.
What has changed inside the model?
Reward pairing reduced the weights of 22,702 connections. Mean gain across the learning circuit fell to 61.3% of its untrained value, then plateaued. We can observe both the effect of training and its current limits.
Our documented game controller translates that learned state into scent-following choices. Both competitors use the same layout, movement speed and seeded random draws; exams remove visitor cues.
That’s our contribution to FLYBRAIN: a public, persistent testbed connecting neural measurements to inspectable game outcomes—with saved learning, matched controls, recorded replays and open methods.
Other builders can fork it, challenge the controller, and test alternative learning rules.
These are early simulation results. Biological behavior still requires validation.
Explore the experiment: flyschool.dev












