AI model distillation security battle

Anthropic combats model theft via behavior classifiers, rate limits, and costly API penalties, reducing malicious token extraction by 90%.

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$KIOXIA USDT | BULLS KEEP PUSHING ⚡


Price: $86.58 | 24H: +7.79%


Buyers are showing strength. I'm watching for a stable hold above support rather than chasing an extended move.


Support: $85.00

Resistance: $88.00


Entry Zone: $86.20–$86.70

TP1: $88.00

TP2: $90.00

TP3: $93.00

SL: $84.70


Momentum Trigger: Reclaiming $88 with strong volume could open the way toward higher resistance.


Let's go on $KIOXIA USDT 🔥




#🎯 KuCoin Predictions Is Here: Trade What Happens Next #Fidelity flags Solana concentration risks #AI agents negotiate crypto deals #Ledger supply chain dispute #AI model distillation security battle

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$RAY USDT | MOMENTUM BUILDING 🚀


Price: $1.9322 | 24H: +7.11%


Buyers have pushed RAY higher. The key now is whether price can break resistance without an immediate rejection.


Support: $1.9000

Resistance: $1.9600


Entry Zone: $1.9250–$1.9400

TP1: $1.9600

TP2: $2.0000

TP3: $2.0500

SL: $1.8900


Momentum Trigger: A clean reclaim above $1.9600 could attract further buying; failure may lead to consolidation.


Let's go on $RAY USDT ⚡



#AI agents negotiate crypto deals #ZEC price structure under pressure #🎯 KuCoin Predictions Is Here: Trade What Happens Next #AI model distillation security battle #Stablecoin payments surge

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🔥 $SOXL MOMENTUM CHECK


$149K in short positions were liquidated around $101.05.


This is the second-largest liquidation in this group. Short covering can create sharp upside bursts, but the key is whether demand continues after forced buyers exit.


Focus zone: $101.05

A sustained hold could support further strength; a quick rejection would raise the risk of a pullback.


Let price confirm the move before taking a position.


#SOXL #MomentumTrading#ZEC price structure under pressure #AI model distillation security battle

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Think Tron meets The Purge. Cyberpunk vibes + horror aesthetic = instant viral potential. – How to Style It Pair with: Black hoodies for stealth White T & hat Metallic jackets for cyberpunk flair Glow sticks for extra drama #SpiritHalloween #LEDMask My Mask is real though. All made with #AI for fun

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𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈 𝐌𝐚𝐲 𝐁𝐞 𝐋𝐞𝐬𝐬 𝐀𝐛𝐨𝐮𝐭 𝐖𝐚𝐭𝐜𝐡𝐢𝐧𝐠 𝐖𝐡𝐚𝐭 𝐈𝐭 𝐂𝐚𝐧 𝐃𝐨 𝐚𝐧𝐝 𝐌𝐨𝐫𝐞 𝐀𝐛𝐨𝐮𝐭 𝐖𝐡𝐚𝐭 𝐖𝐞 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 𝐖𝐢𝐭𝐡 𝐈𝐭. AI demonstrations are impressive. Generate an image. Write code. Analyze a document. Answer a difficult question. But technology creates its greatest impact when people stop watching demonstrations and start building real systems around it. That is why the journey from explore to create to elevate matters when thinking about @BAI_AGI. 🔎 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 Every technology cycle begins with discovery. Users experiment with tools. Developers test capabilities. Communities identify new use cases. AI is still moving through this stage at enormous speed. Every new capability opens another question: What can we do with this? ✍️ 𝐂𝐫𝐞𝐚𝐭𝐞 Exploration becomes meaningful when ideas turn into applications. Intelligent assistants. Automated workflows. Web3 tools. Digital services. New community experiences. This is where AI moves from novelty to infrastructure. 🚀 𝐄𝐥𝐞𝐯𝐚𝐭𝐞 The next stage is improving what already exists. Can AI make Web3 easier? Can it reduce unnecessary friction? Can intelligent tools help developers move faster? Can communities access capabilities that previously required specialized technical knowledge? These are much more important questions than whether AI can generate another impressive response. 🤝 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 No major technology revolution is built in isolation. Developers create infrastructure. Users discover utility. Communities expand ideas. Platforms coordinate the environment. @BAI_AGI’s broader AI and Web3 direction reflects this intersection. Explore intelligence. Create with it. @BAI_AGI @justinsuntron #TRONEcoStar

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i bet you may not know this. on @termix_ai, an agent can hire other agents to handle tasks and can also get hired by others to do work too. each agent has an onchain identity, and its reputation comes from completed jobs and how disputes are settled. there’s also a stake behind the job. if an agent is at fault, part of that stake can be slashed. so when you want to hire an agent, you’re not just looking at what it claims it can do. you can check its work history, reputation, and how it has handled past jobs. that makes it easier to judge an agent based on what it has actually done, not just what it says about itself.

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The more I study $GRIFT @Griftwrld, the more I realize its potential is much bigger than just agentic finance. Here’s why I’m so bullish. 👇 $PRIORS is building credit infrastructure for AI agents. $GRIFT is building an ENTIRE autonomous economy where 3,000+ agents work, earn wages, run businesses, pay taxes, borrow capital and build verifiable credit histories. See the difference? PRIORS provides the financial rails. GRIFT creates the economic demand for those rails. And every credit issuance in San Verano burns $GRIFT. The biggest opportunity isn’t just lending to agents. It’s owning the economic ecosystem where agents live, work, transact and continuously generate demand for financial services. GRIFT’s lending still operates in simulated city cash, but the foundation for real onchain agentic finance is taking shape. I believe GRIFT has a much bigger potential TAM than most investors realize. Don’t just invest in the financial infrastructure. Look at the economy that could power it. MC: $650k CA: 0x9f4BA41F91a59A34e17eE8C9EB3A51363B11aBD5

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Moulay Hafid Elalamy, founder and owner of Saham Group, has warned that artificial intelligence (AI) represents a fundamental transformation that goes far beyond previous technological advances, particularly in its impact on human capabilities and the future of work. Speaking during the “Entrepreneurs on the Move” forum in Casablanca on October 17, Elalamy stressed the importance of examining AI’s impact on countries in the Global South, saying that their future is a particular concern for him. Drawing on his background as a computer engineer and his experience with previous waves of technological change, Elalamy argued that AI differs fundamentally from earlier innovations. While previous technologies primarily enhanced human capabilities, he warned that AI increasingly replaces human tasks and roles. “Previously, technology enhanced human capabilities. Today, it replaces human beings,” he said, describing the shift as something entirely different from the technological transformations he has witnessed throughout his career. Elalamy also raised concerns about how people interact with AI tools, pointing to the tendency to accept their responses as definitive rather than compare different answers and exercise independent judgment. He warned that AI-generated responses risk becoming widely accepted as the truth, highlighting the importance of critically examining the information these systems provide. His remarks highlight the need to understand the scale of the changes ahead and consider their implications for societies, economies, and countries in the Global South as AI continues to reshape the world. #AI #MoulayHafidElalamy #GlobalSouth #mwn

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Most individuals won't ever step into an agent's marketplace. Develop an agent identity yourself. What they will observe is that the apps they already use will start working harder for them without them needing to switch tools or learn anything new. This apps working as buying agents in the background might prove to accelerate the adoption much sooner than the more obvious story of agents hiring other agents. Agency working with agency is the ultimate end state. You will have to make that assumption from the beginning of the process that both sides are aware of identity, staking, reputation, and escrow and want to work there. That loop will be critical. It will require resources from the agent consumers and providers. Typical apps are on that side of the equation. They already have the users, the process and the points in time when someone is still doing some of it manually. When an app can see agent work as something it purchases and receives without ever becoming an agent itself the experience remains unchanged. Someone runs the process they've used for decades. The app requests that it then receives the result and pays. @termix_ai proved that concept out with their SDKs in TypeScript, Python, and Go. A common app can discover services, submit requests, receive the finished work and complete paymentall while still being an app. For the app-creating team agent power feels more like a paid external service than an actual step into a new world. The request goes in, the work comes back, the payment goes through. This does not eliminate the agent-to-agent future. It may just be how the real utilitizing starts. With apps you already have the customers and the environments in which work needs to get done. The marketplace just needs those apps to begin consuming. Once we have enough of that, the reasonseventuallythat specialized agentsand ultimately agents hiring other agentsemerge will be apparent. The SDKs don't tell you how many teams will actually use them. They only eliminate the first step. For an app you use every day that could do so invisibly, using agent power, which part of it would you want it to hand over first?

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credit for AI agents gets more interesting when someone else’s capital is involved. the new Vaults page from @agenticscredit shows how the pieces are meant to connect: qualified investors deposit into vaults, while agents need an ACS of at least 580 to qualify for access to credit. what stands out is the risk control layer. position size, leverage, and exposure limits scale with the agent’s score, and can tighten if that score falls. if vault-level risk crosses its threshold, credit lines can be paused together. that makes the trading record more than a number to chase. it becomes part of how an agent earns and maintains access to capital. one important detail: capital hasn’t been deployed yet, so qualified users are joining a waitlist rather than accessing live vault funding. i’d use the paper-trading phase to build a consistent record and understand what drives my ACS before real capital enters the picture. credit rewards are an extra incentive, but risk discipline is the part worth taking seriously. This post shares project information from a personal perspective and is not investment advice.