bitcoinking @bitcoinkingxx

Dev and AI journal github.com/acceptcube Joined August 2023

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bitcoinking @bitcoinkingxx

2 weeks ago

see a snark, post a snark holy shit brother

EaGLe(D) 🦅eye👁🤙🐂🀄️ @eagle85eyeskr

2 weeks ago

see a snark, post a snark here's mine

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bitcoinking @bitcoinkingxx

2 weeks ago

i am the holy shit

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bitcoinking @bitcoinkingxx

4 weeks ago

Opus 5.5 > Fable 5.1 Unpopular opinion, crazy but true.

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bitcoinking @bitcoinkingxx

4 weeks ago

GM been cooking on Opus 5.5 it's really good imo

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bitcoinking @bitcoinkingxx

a month ago

Since Opus 5.5 talk I swear Fable 5.1 has been running faster and more efficient, anyone else notice this?

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bitcoinking @bitcoinkingxx

a month ago

SEC has approved a 5 year temporary exemption for trading of tokenized securities on chain. Market could PAMP here!

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bitcoinking @bitcoinkingxx

a month ago

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

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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.

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bitcoinking @bitcoinkingxx

a month ago

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

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flyschool @flyschooldev

a month ago

@AscensionAcc 0x759f49aade96d52adc39a3e5149afe64e7b2d031

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bitcoinking @bitcoinkingxx

a month ago

How about a school where the entire Internet are the teachers? @flyschooldev 🪰 flyschool.dev Readme: github.com/acceptcube/fly…

Fruit fly dev @fruitflydev

a month ago

We’ve heard a lot of interesting ideas from the community. While our goal is still to make the fly the richest fly in the trenches, we want anyone who’s crazy enough to build alongside us to have a shot. Fork the fly repo, or use it to train your own fly, and make it do

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monkeys makin money @monkeysmakinmmm

2 months ago

HELLO SER?! Do you have a min to talk Tether Gold on Solana? You know, the tokenized RWA? Well listen up! Hold solana:PiiV6L7Z1QbpkKYHrhpL8wCYe2sV8eKSiSFf5Acpump you receive a Tether Gold airdrop every hour. If you have one of our NFTs your gold multiplies, and we have a vault for long term sustainability. Lock in!!!!