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@XRPapiCrypto
You have power over your mind, not outside events. Realize this, and you will find strength. -Marcus Aurelius
가입일 Aralık 2020
500 팔로잉895 팔로워
33 리트윗함
"@Firelightfi is not another audit firm or monitoring dashboard. It's an economic layer that prices risk, absorbs losses and continuously signals what's actually safe."
— Jesús Rodríguez (@jrdothoughts), Co-founder & CPO, @SentoraHQ
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Clarity act. Rewards on activity you say. Hmmn, fits in very well with the FLR governance proposal.
Nic@nicrypto
The CLARITY yield deal announced on Friday has finally dropped. Result: no yield on balances. Rewards on activity only. Banks won the argument. Plus DeFi oversight and a ban on Trump personally profiting from crypto still need resolution. The bill is alive but the fine print is not what the industry was hoping for.
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😂😂😂
110 you say? In crypto, this is 32... lol
HOLD!!!
$FLR
Bifrost Wallet@BifrostWallet
110-year-old Turkish grandma shares her secret to a long life: "I earn yield with my XRP"
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First $10k in trading volume is the cap on their free tier.
Having money/crypto on exchanges isn't for everyone but I usually have some money sitting on exchanges, so I'm giving it a shot.
Let's see how we do. (right now I'm buying as much $FLR as I can without any 🚩🚩 from the wife 🤣)
Arch Public@tryarchpublic
Real stories from Arch Public users: With @lucataormina6, @Daron_W_LeBlanc, and @XRPapiCrypto
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A couple of weeks ago I had the opportunity to move into AI and I turned it down.
I believe AI is probably the biggest opportunity in the world and will shape how our species evolves. But I also believe we need more people building solutions that expand freedom, and for that, crypto is a crucial part of the answer.
That is why I’m betting on Flare to become a key part of the financial plumbing of the future. Beyond that, I devote my personal time to advancing my own efforts with Web3 Matters and ProofRails.
ShipYard by Web3 Matters creates opportunities for education and entrepreneurship for anyone building in crypto x AI. ProofRails creates opportunities for organizations that want to adopt crypto with trust.
I have no plans to stop, and all of my work across these projects is driven by a really long-term horizon.
I’m grateful to everyone who supports my work, and to my collaborators around the world. The door is open to anyone who believes in this mission.
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33 리트윗함
Arch Public is proud to be a trusted partner of @Gemini
Whether you're deploying automated, advanced trading strategies for $BTC, $ETH, $XRP, or $SOL, or accumulating crypto within your IRA, Arch Public and Gemini have you covered!
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I do so like thinking about radical ways to turn the industry upside down.
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TLDR this is recursive self-improvement, but one level deeper.
Not just learning better answers, but learning better ways to learn better answers.
Hyperagents are AI agents that do not just get better at a task, but also get better at the way they improve themselves.
Jenny Zhang@jennyzhangzt
Introducing Hyperagents: an AI system that not only improves at solving tasks, but also improves how it improves itself. The Darwin Gödel Machine (DGM) demonstrated that open-ended self-improvement is possible by iteratively generating and evaluating improved agents, yet it relies on a key assumption: that improvements in task performance (e.g., coding ability) translate into improvements in the self-improvement process itself. This alignment holds in coding, where both evaluation and modification are expressed in the same domain, but breaks down more generally. As a result, prior systems remain constrained by fixed, handcrafted meta-level procedures that do not themselves evolve. We introduce Hyperagents – self-referential agents that can modify both their task-solving behavior and the process that generates future improvements. This enables what we call metacognitive self-modification: learning not just to perform better, but to improve at improving. We instantiate this framework as DGM-Hyperagents (DGM-H), an extension of the DGM in which both task-solving behavior and the self-improvement procedure are editable and subject to evolution. Across diverse domains (coding, paper review, robotics reward design, and Olympiad-level math solution grading), hyperagents enable continuous performance improvements over time and outperform baselines without self-improvement or open-ended exploration, as well as prior self-improving systems (including DGM). DGM-H also improves the process by which new agents are generated (e.g. persistent memory, performance tracking), and these meta-level improvements transfer across domains and accumulate across runs. This work was done during my internship at Meta (@AIatMeta), in collaboration with Bingchen Zhao (@BingchenZhao), Wannan Yang (@winnieyangwn), Jakob Foerster (@j_foerst), Jeff Clune (@jeffclune), Minqi Jiang (@MinqiJiang), Sam Devlin (@smdvln), and Tatiana Shavrina (@rybolos).
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