# KaitoYap

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Is anyone daring to make AI into a "soulful companion"?
In recent years, the AI Agent field has become extremely competitive, with everyone comparing whose model is faster, whose inference is more accurate, and whose task execution is more aggressive. It’s not uncommon to hear claims like "automate your life" and "help you earn more money."
But I increasingly feel something is off—do we really only need a cold, hard tool?
Kindred goes against the grain: it does not pursue high IQ, but instead shapes AI into a truly "digital life with identity."
The core relies on two things:
LTMP Long-Term Mem
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#Irys has received a major update, and recently the official announcement revealed optimizations to its Hybrid Consensus (PoW+PoS).
This means that storage costs are reduced by at least 70% compared to traditional blockchains, verification times are shortened to an average of 2 seconds, and security is increased by 15%.
The introduction of IrysVM has improved data computation efficiency by 30%, accelerating the expansion of data programmability.
As the first programmable data chain, continuously building AI's collaborative operations, currently
Also reached strategic cooperation with mult
SOL1,23%
ETH2,65%
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Suckers' life, no matter how hard it gets, we have to keep going! Let's lift our spirits and continue to enjoy the subsidies in the secondary market. They say that after a black swan event comes a bull run, it feels like this sentence is like giving a long wick candle to a dying person. When will this life come to an end, it's too difficult.
In today's rapidly developing decentralized finance and artificial intelligence, @AlloraNetwork is redefining smart finance in a whole new way. By combining traditional machine learning with large language models (LLM) and avoiding biases f
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.@wardenprotocol ranked 10,000 places higher in-app 3 days ago.
The deposit amount is 200 dollars, and I swapped about 50 dollars each time. Under the condition that I completed all daily tasks, I advanced more than 10,000 positions. This is my own interaction situation.
The ranking is related to the points earned and the price of the tokens created by oneself. To increase the price, a slightly larger Swap is needed. Currently, the price of my token is 4.96.
The loss feels okay. I have been interacting with the SOL chain, and in the past two days, $SOL has risen, allowing me to make a small pr
SWAP1,67%
SOL1,23%
DYOR-2,71%
L1-2,46%
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What are a hundred thousand questions? - [Human Geography Edition]
Located in the northwest of Yunnan Province, China, Shangri-La means "the sun and moon in the heart" in Tibetan. It is a secret realm that blends plateau scenery with Tibetan culture. Snow-capped mountains, meadows, lakes, and forests intertwine here, while the morning bell of Songzanlin Temple, the prayer wheels of Dukezong Ancient Town, and the migratory birds of Napa Lake together depict a picture of harmonious coexistence between humans and nature.
Shangri-La has become an ideal realm that people long for with its tranquili
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Why do some people choose to stay even though the salary at the milk tea shop is not high?
Perhaps because some values cannot be measured by just working hours —
There is face-to-face warmth and the solid feeling of being relied upon.
There is a cup of sweetness mixed by hand, loved by others.
This is a quiet and concrete sense of presence.
In the parallel digital world, another mechanism of "participation equals recognition" is growing.
Just like the ongoing competition by @OpenledgerHQ —
It does not ask who you are, only cares whether you have truly appeared and invested:
Every transaction i
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Between shadows, k years of artistic brilliance!
This passage describes our country's traditional craft of shadow puppetry, which carries the historical memories and cultural genes of the Chinese nation, traversing through k years of wind and rain to the present day. The delicate puppets carved from donkey skin dance behind the curtain, and a single oil lamp can illuminate thousands of miles of rivers and mountains, along with joys and sorrows. The old artist's trembling hands hold the strings, and those loyalty and treachery, goodness and evil interpreted by the shadow puppets have long been
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During periods of high volatility, how should liquidity be managed?
Ferra provided an answer: different market-making models address different problems and have their limitations. This can be understood from three aspects: price formation, slippage characteristics, and LP risk structure:
- DAMM (Traditional AMM, x·y = k)
This is the most classic market-making model, where the price changes continuously, and each transaction moves the price curve. Advantages — simple structure, no active management needed, suitable for passive LPs. Disadvantages are obvious: funds are evenly distributed across
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CoinWorldKingvip
In times of high volatility, how should liquidity be managed?
Ferra provides an answer: different market-making models each solve specific problems and have their own boundaries. They can be understood from three dimensions: price formation methods, slippage characteristics, and LP risk structures:
- DAMM (Traditional AMM, x·y = k)
This is the most classic market-making model, where prices change continuously, and every trade moves the price curve. Its advantages are a simple structure, no need for active management, and suitability for passive LPs. The drawbacks are also obvious: funds are spread evenly across the entire price range, large trades incur high slippage, capital efficiency is the lowest, and it is not friendly to LPs in volatile assets.
- CLMM (Concentrated Liquidity AMM)
CLMM improves capital efficiency by allowing LPs to choose specific price ranges. Liquidity is only active within designated intervals, and fee income is more concentrated. However, prices still change continuously within the range, so slippage remains; once the price moves out of the range, LPs become single-sided assets, requiring frequent management and rebalancing, which demands higher operational skills.
- DLMM (Dynamic Liquidity Market Maker)
DLMM is Ferra's core innovation. It does not use a continuous curve but divides the price into discrete bins. Within a single bin, the price is fixed; as long as liquidity is sufficient, trades can be executed with zero slippage. Only when a trade consumes an entire bin does the price jump to the next level. Coupled with dynamic fee rates that automatically increase during high volatility periods, this mechanism hedges arbitrage risks. For LPs, DLMM offers more controllable execution outcomes, clearer risk exposure, and supports both unilateral market-making and various liquidity distributions, making it especially suitable for highly volatile assets and new tokens.
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Summary of core differences
DAMM ensures trades can always be executed but with the lowest efficiency; CLMM concentrates funds within effective ranges but has high management costs; DLMM achieves more predictable price execution and more reasonable LP returns in volatile markets.
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From a design perspective, DLMM is not simply an upgrade of DAMM or CLMM but redefines price formation in high-frequency trading and high-volatility environments. This is also why Ferra considers DLMM as the underlying liquidity model rather than just an optional feature.
#KaitoYap @KaitoAI #Yap @ferra_protocol
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