Locktree

5 months ago

We absolutely look ready to $NOCK

110

10K

6 months ago

@platacrypto Damn bro! You keep on amazing me with your thorough research and perfect explanation that even a child understands it!! $Nock is different and will fly!!

289

Locktree1987 retweeted

ATC'65 telt ruim 1350 leden en speelt op sportpark Slangenbeek aan de Torenlaan in Hengelo. ATC’65 1 komt uit in Oost 2H. Alle jeugdselecties spelen divisie

6 months ago

https://t.co/38Xfvx8Rvb

113

16K

Locktree1987 retweeted

Nockchain @nockchain

7 months ago

What is Nockchain, anyway? Here's a short, audio-visual explainer of the system as a whole.

141

Who to follow

v.v. ATC'65

@ATC65

Football Club Twente • Hengeloër • Ondernemer in de ICT • Military Machines

Locktree1987 retweeted

CryptoBoy1199 @CryptoBoy1199

7 months ago

https://t.co/j6KR1hRuIR

114

Locktree1987 retweeted

Kαnτ

@0xKant_

7 months ago

Many people were coping they missed $NOCK. It's been giving a beautiful accumulation range for the second time now. I bought in the first range and I'm buying again here.

0xKant_'s tweet photo. Many people were coping they missed $NOCK.

It's been giving a beautiful accumulation range for the second time now.

I bought in the first range and I'm buying again here. https://t.co/sGGem2xnC5

109

Locktree1987 retweeted

Kαnτ

@0xKant_

7 months ago

REI Core 0.4: Intelligence That Improves the Way It Thinks @rei_labs new upgrade improves the way it thinks while in use. I wrote about why that shift matters for builders and investors. Feel free to follow and share. Let's DD $REI 👇🏼 The Limits Of Static AI AI scaled aggressively, yet the underlying approach remains stuck. Most models operate on fixed weights, predictable reasoning patterns, and memory that resets the moment a session ends. Progress has relied on size, not adaptability. Bigger clusters. Larger datasets. More of the same constraints. Core 0.4 introduces a different path. It replaces the idea of intelligence as a frozen object with intelligence as a continuous process. Growth comes from activity, not from retraining cycles. From Learning During Use, To Learning How To Learn Core 0.3 demonstrated that Units learn during inference. That alone removed much of the cost and time traditionally associated with fine-tuning. Core 0.4 advances further by examining its own reasoning, evaluating strategies, and improving those strategies without instruction. It tries multiple cognitive routes. It ranks the ones that succeed. Its structure shifts toward what works. Thinking becomes iterative improvement instead of static execution. Memory Designed For Long Horizons Core 0.4 keeps conceptual structure intact over time and reorganizes what it knows while still running. Key ideas move closer to each other. Weak assumptions fade. The system supports long-term objectives without prompting. A Unit built for analysis remembers how decisions were made last week. A Unit supporting research continues its work without being reminded. Continuity becomes a core advantage. Reasoning Across Text, Code, And Time Core no longer isolates knowledge by type. Patterns in code strengthen reasoning in text. Observations in time-series data support decisions in natural language. The system recognizes structure behind behavior, not only descriptions of behavior. Intelligence gains breadth without sacrificing depth, which leads to better judgment across unfamiliar contexts. Collaboration As A Standard Feature R00Ms and computational workflows move REI from chat into production. Units track shared objectives. They maintain context for multiple teammates. They convert insights into outputs that carry value: structured reports, analysis files, strategic plans. Work continues across sessions. Progress accumulates instead of resetting. The agent becomes a partner in execution rather than a one-off assistant. Economics Aligned With Usage Traditional AI charges for learning. Every improvement requires more compute. Core 0.4 generates improvement through usage itself. Every interaction sharpens reasoning. Every team using the system contributes to its collective intelligence. Scalability becomes a network effect instead of a cost burden. This changes who can participate in advanced AI. A Network Maturing For Real Deployment REI unified its identity under https://t.co/KiwIyI6K1b and the app and API are live there. The infrastructure, branding, and architecture match the ambitions. The foundation is ready for broader rollout, both through the product and through developers who want cognition they can trust for long-term work. The Phase Change The AI race is shifting from size to adaptiveness. Static models show diminishing returns the moment they leave the lab. Systems that refine themselves during operation will lead the next chapter. Core 0.4 delivers that capability today. Not larger. Smarter. An intelligence network that gets better because it is used. $REI is already building on the side of the curve where evolution wins.

0xKant_'s tweet photo. REI Core 0.4: Intelligence That Improves the Way It Thinks

@rei_labs new upgrade improves the way it thinks while in use. I wrote about why that shift matters for builders and investors. Feel free to follow and share. Let's DD $REI 👇🏼

The Limits Of Static AI

AI scaled aggressively, yet the underlying approach remains stuck. Most models operate on fixed weights, predictable reasoning patterns, and memory that resets the moment a session ends. Progress has relied on size, not adaptability. Bigger clusters. Larger datasets. More of the same constraints.

Core 0.4 introduces a different path. It replaces the idea of intelligence as a frozen object with intelligence as a continuous process. Growth comes from activity, not from retraining cycles.

From Learning During Use, To Learning How To Learn

Core 0.3 demonstrated that Units learn during inference. That alone removed much of the cost and time traditionally associated with fine-tuning. Core 0.4 advances further by examining its own reasoning, evaluating strategies, and improving those strategies without instruction.

It tries multiple cognitive routes. It ranks the ones that succeed. Its structure shifts toward what works. Thinking becomes iterative improvement instead of static execution.

Memory Designed For Long Horizons

Core 0.4 keeps conceptual structure intact over time and reorganizes what it knows while still running. Key ideas move closer to each other. Weak assumptions fade. The system supports long-term objectives without prompting.

A Unit built for analysis remembers how decisions were made last week. A Unit supporting research continues its work without being reminded. Continuity becomes a core advantage.

Reasoning Across Text, Code, And Time

Core no longer isolates knowledge by type. Patterns in code strengthen reasoning in text. Observations in time-series data support decisions in natural language. The system recognizes structure behind behavior, not only descriptions of behavior.
Intelligence gains breadth without sacrificing depth, which leads to better judgment across unfamiliar contexts.

Collaboration As A Standard Feature

R00Ms and computational workflows move REI from chat into production. Units track shared objectives. They maintain context for multiple teammates. They convert insights into outputs that carry value: structured reports, analysis files, strategic plans.

Work continues across sessions. Progress accumulates instead of resetting. The agent becomes a partner in execution rather than a one-off assistant.

Economics Aligned With Usage

Traditional AI charges for learning. Every improvement requires more compute. Core 0.4 generates improvement through usage itself. Every interaction sharpens reasoning. Every team using the system contributes to its collective intelligence.

Scalability becomes a network effect instead of a cost burden. This changes who can participate in advanced AI.

A Network Maturing For Real Deployment

REI unified its identity under https://t.co/KiwIyI6K1b and the app and API are live there. The infrastructure, branding, and architecture match the ambitions. The foundation is ready for broader rollout, both through the product and through developers who want cognition they can trust for long-term work.

The Phase Change

The AI race is shifting from size to adaptiveness. Static models show diminishing returns the moment they leave the lab. Systems that refine themselves during operation will lead the next chapter.

Core 0.4 delivers that capability today.

Not larger.
Smarter.

An intelligence network that gets better because it is used.

$REI is already building on the side of the curve where evolution wins.

101

Locktree1987 retweeted

Norexa @NorexaFinance

8 months ago

Would you trust an AI Agent with your portfolio?

576

Locktree1987 retweeted

8 months ago

@poe_real69 Gm from $VIBE $VIBE isn’t chasing trends it’s delivering infrastructure 20+ live AI tools already driving on chain research automation and smart money tracking This is the backbone of AI x Web3 execution not promises Pure delivery CA 0x8e7A9f9817eCf2649c0316b22Fea274D522C7b9B

Locktree1987 retweeted

Omega.Eth 🥷 @ETHOMEGACHAD

9 months ago

@Overdose_AI OD meet $VIBE the ultimate AI Agent by @VIBEaiRforce + integrated with tools like @nansen_ai 🧠 $EVA CA analysis | $DATA tech integration 📊 $VIBE delivers elite market analysis with 86%+ accuracy ⏰ Schedule daily AI-driven market insights anytime,anywhere $Vibe

120

Locktree1987 retweeted

King Cryptoson 👑 @KingCryptoson

9 months ago

@CryptoTony__ Yes! Ape $SAFU @SafuLauncher SafuLauncher isn’t just a deployer — it’s a complete launch ecosystem: 🔹 Deploy instantly with socials attached 🔹 Trade inside the platform from the start 🔹 Auto Uniswap listing once $50K MC is reached 🔹 LP locked/burned and ownership renounced

124

9 months ago

@platacrypto @NorexaAI Yes mate!! Great post!! $nrx will blast hard

Locktree1987 retweeted

9 months ago

What if finding the best yield wasn't a task, but it became a feature? Agents will enable yield optimization for every asset you hold. @NorexaAI is building agents to serve every asset class, without the hassle that DeFi brings. What is Norexa? TL;DR: Norexa is a micro-cap project that is building a fully autonomous execution layer for DeFi, allowing users to develop and utilize agents for various tasks such as yield optimization, arbitrage, governance execution, and portfolio rebalancing. Airdrop campaigns, monitoring funding rates and/or prices across platforms, providing LP, and chasing incentives using various mechanics, there are so many ways to chase yield. It remains one of the most time-intensive tasks in DeFi, with so many protocols competing for your liquidity. The sheer number of ways to put them to work means finding the best place is a never-ending task. So the question is asked, what if there was a tool that could do all these tasks for you automatically and allocate your assets to achieve the best yield? This is what Norexa is building: a one-stop shop for users to deposit assets with an agent of their choice and put those funds to use to get the best yield, and change positions in real-time when needed. For Norexa to achieve its goal, they are addressing a few core issues that it believes every agent platform should have to ensure trust and security: 🔹 Decentralized agent marketplace. 🔹 Non-custodial vaults. 🔹 Bonding and slashing mechanics for vault creators. 🔹 On-chain reputation engine. 🔹 Permissionless SDK and licensing framework. These platform features are meant to ensure that those who create an agent with a certain strategy are aligned with its success. If a vault fails to perform or encounters a black swan event, their staked $NRX is used to (partially) refund depositors, with 70% of slashed $NRX going to depositors, with the remaining 30% used for the DAO (20%) and burning/liquidity incentives (10%). This also adds a layer of security for depositors as there is some safeguard in place when they decide to deposit with Norexa. In order to attract developers to create more agents, they've implemented a reputation feature so successful developers get more attention, and also allow them to license their vault logic to other developers to earn additional fees. The protocol covers gas costs for qualifying strategies to make deploying on Norexa more attractive. $NRX serves a core role within the entire ecosystem, from bonding and slashing to DAO governance. $NRX does it all. Some of these features are being built or will evolve, like staking. Currently, users can stake $NRX risk-free to earn an attractive APY of 18.2%. In the future, stakers can delegate to agents to help secure the marketplace and reward successful developers. Staking has a 24-hour cooldown window when requesting a withdrawal, and buys and sells of $NRX are subject to a 5% tax fee to support liquidity, development, and marketing. Staking $NRX in the future will give you reduced management fees for specific agents and access to elite agents that require a minimum amount of tokens staked to access. Norexa has designed its protocol to revolve around its token, and this can be seen in every process; it makes the token a great bet on the future success of the protocol for me. I added $NRX to my microcap portfolio. Trading right now at 600k MC with competitors being many multiples higher. While it will take some liquidity in the market to get the microcaps started, the NRX team seems hardworking with a vision, and they could be an attractive platform for developers to attract more yield strategies. I hope you enjoyed this post 🫡 These posts take a long time, so I'd appreciate it if you could like and retweet it.

platacrypto's tweet photo. What if finding the best yield wasn't a task, but it became a feature?

Agents will enable yield optimization for every asset you hold.

@NorexaAI is building agents to serve every asset class, without the hassle that DeFi brings.

What is Norexa?

TL;DR: Norexa is a micro-cap project that is building a fully autonomous execution layer for DeFi, allowing users to develop and utilize agents for various tasks such as yield optimization, arbitrage, governance execution, and portfolio rebalancing.

Airdrop campaigns, monitoring funding rates and/or prices across platforms, providing LP, and chasing incentives using various mechanics, there are so many ways to chase yield.

It remains one of the most time-intensive tasks in DeFi, with so many protocols competing for your liquidity. The sheer number of ways to put them to work means finding the best place is a never-ending task.

So the question is asked, what if there was a tool that could do all these tasks for you automatically and allocate your assets to achieve the best yield?

This is what Norexa is building: a one-stop shop for users to deposit assets with an agent of their choice and put those funds to use to get the best yield, and change positions in real-time when needed.

For Norexa to achieve its goal, they are addressing a few core issues that it believes every agent platform should have to ensure trust and security:

🔹 Decentralized agent marketplace.
🔹 Non-custodial vaults.
🔹 Bonding and slashing mechanics for vault creators.
🔹 On-chain reputation engine.
🔹 Permissionless SDK and licensing framework.

These platform features are meant to ensure that those who create an agent with a certain strategy are aligned with its success.

If a vault fails to perform or encounters a black swan event, their staked $NRX is used to (partially) refund depositors, with 70% of slashed $NRX going to depositors, with the remaining 30% used for the DAO (20%) and burning/liquidity incentives (10%).

This also adds a layer of security for depositors as there is some safeguard in place when they decide to deposit with Norexa.

In order to attract developers to create more agents, they've implemented a reputation feature so successful developers get more attention, and also allow them to license their vault logic to other developers to earn additional fees.

The protocol covers gas costs for qualifying strategies to make deploying on Norexa more attractive.

$NRX serves a core role within the entire ecosystem, from bonding and slashing to DAO governance. $NRX does it all.

Some of these features are being built or will evolve, like staking.

Currently, users can stake $NRX risk-free to earn an attractive APY of 18.2%. In the future, stakers can delegate to agents to help secure the marketplace and reward successful developers.

Staking has a 24-hour cooldown window when requesting a withdrawal, and buys and sells of $NRX are subject to a 5% tax fee to support liquidity, development, and marketing.

Staking $NRX in the future will give you reduced management fees for specific agents and access to elite agents that require a minimum amount of tokens staked to access.

Norexa has designed its protocol to revolve around its token, and this can be seen in every process; it makes the token a great bet on the future success of the protocol for me.

I added $NRX to my microcap portfolio. Trading right now at 600k MC with competitors being many multiples higher.

While it will take some liquidity in the market to get the microcaps started, the NRX team seems hardworking with a vision, and they could be an attractive platform for developers to attract more yield strategies.

I hope you enjoyed this post 🫡

These posts take a long time, so I'd appreciate it if you could like and retweet it.

Locktree1987 retweeted

DaddyThunder

@DaddyThunder_1

9 months ago

@TheCryptoDaddi Good picks. Bullish on them but not as much as I am on $NRX. If you’re a big on passive income and a stress free trading journey then @NorexaAI is for you!

DaddyThunder_1's tweet photo. @TheCryptoDaddi Good picks. Bullish on them but not as much as I am on $NRX.

If you’re a big on passive income and a stress free trading journey then @NorexaAI is for you! https://t.co/GQgwXoFrg6

101

9 months ago

@cryptojack That’s why you should buy $safu Discover gems at $5k market cap with full peace of mind. Rug pulls? Impossible. That's the @SafuLauncher promise CA: 0x7C19ccadb685b873Bc7b99cD7308C00A9B9Bae7c

9 months ago

@Crypto_Alch $safu my friend!! No rug garanteed via their platform! CA: 0x7C19ccadb685b873Bc7b99cD7308C00A9B9Bae7c

9 months ago

@Xking332 Discover gems at $5k market cap with full peace of mind. Rug pulls? Impossible. That's the @SafuLauncher promise CA: 0x7C19ccadb685b873Bc7b99cD7308C00A9B9Bae7c

9 months ago

@platacrypto And we are ready 💪💪

9 months ago

@dr_crypto_calls Discover gems at $5k market cap with full peace of mind. Rug pulls? Impossible. That's the @SafuLauncher promise CA: 0x7C19ccadb685b873Bc7b99cD7308C00A9B9Bae7c