artificialintelligence

⚪**AI & Crypto: The Smartest Team-Up in the Digital World**
◽Imagine your crypto wallet, not just as a place to hold your money, but as a super-smart assistant that helps you trade, keeps you safe, and finds great opportunities. That's what happens when AI and crypto team up!
◽This isn't a sci-fi movie—it's happening right now, making the crypto world smarter and safer for all of us, even here in our local communities.

➡️**Smarter Trading, Less Stress**
◽One of the coolest things AI does is make trading easier. Crypto markets move at lightning speed, and it's impossible for a person to watch everything at once.

➡️* **AI Trading Bots:** These are like having a professional trader working for you 24/7. They can watch the market, analyze tons of data, and make trades instantly, without getting emotional or scared.
➡️* **Predicting Trends:** AI can look at a coin's past prices, news stories, and even social media chatter to help predict where the price might go next. This gives traders a big advantage.

➡️**Fortifying Security**
◽The crypto world is a target for hackers, but AI is helping to build a stronger wall of defense.

➡️* **Catching Scams:** AI can spot unusual and suspicious activity on the blockchain, flagging potential scams or hacks before they can do a lot of damage.
➡️* **Better Verifications:** AI helps crypto exchanges with things like user verification, making sure that real people are behind the accounts and not fraudsters.

➡️**A Smarter Future Together**
◽The combination of AI and crypto is just getting started. As AI gets better at learning and making decisions, it will make our crypto transactions faster, safer, and more efficient.

◽Think about it: AI can help make decentralized apps (dApps) smarter and even help manage entire crypto networks (DAOs) more fairly.
◽The future of crypto isn't just decentralized; it's also intelligent. And that's great news for everyone.

#AICrypto #ArtificialIntelligence #crypto #Blockchain #Trading #Security #Innovation

The Pentagon has signed a contract with the American-German company Auterion for the supply of 33,000 artificial intelligence (AI) kits for Ukrainian drones worth $50 million. These systems, known as Skynode, turn regular drones into autonomous strike platforms capable of detecting targets at a distance of up to 1 km and resisting jamming. Deliveries will begin by the end of 2025 and will become the largest batch of such equipment aimed at strengthening Ukraine's defense against massive Russian drone attacks.

🚀 Introduction
The United States has officially launched its AI Action Plan, a comprehensive roadmap designed to position the country at the forefront of artificial intelligence development, regulation, and ethical deployment. In an era where AI is reshaping industries—from finance and healthcare to national defense—the U.S. is making a strategic move to balance innovation with responsibility.
This plan isn’t just about technology—it’s about geopolitical leadership, digital sovereignty, and economic dominance in the global AI race.
🔍 What Is the U.S. AI Action Plan?
The AI Action Plan is a multi-agency effort led by the White House Office of Science and Technology Policy, with contributions from the Department of Defense (DoD), National Institute of Standards and Technology (NIST), National AI Research Resource (NAIRR), and other strategic partners.
It includes:
$2 billion+ in AI R&D investments over the next five years.

Creation of national AI testbeds for safe, large-scale testing.AI ethics and safety regulations aligned with democratic values.Development of public-private partnerships, including with major tech firms and startups.Focus on cybersecurity, critical infrastructure, and defense AI applications.
🔐 AI and National Security
One of the strongest components of the plan is the use of AI in military defense, intelligence, and cybersecurity.
The Pentagon is prioritizing autonomous defense systems and AI-powered threat detection.The CIA and NSA are leveraging AI for real-time threat analysis and predictive intelligence.Emphasis is placed on countering AI-based warfare and ensuring AI superiority over adversaries like China and Russia.
💼 Impact on the Tech & Crypto Industry

America's AI Action Plan also intersects with blockchain and crypto innovation:
AI will be used to detect fraud, enhance KYC/AML protocols, and improve trading algorithms.Regulatory bodies like the SEC and CFTC may deploy AI to monitor crypto markets.The plan indirectly supports the development of decentralized AI infrastructure, giving rise to new Web3 x AI startups.
🧠 Democratizing AI: Research & Accessibility

The plan calls for:
Open access to AI research through NAIRR.Supporting AI startups and developers with compute resources and datasets.Education initiatives to train 1 million+ AI workers by 2030.A focus on equity, inclusivity, and transparency in all AI systems.
🌐 Global Response and Geopolitical Implications
This plan is a clear signal to the world: the U.S. is serious about leading the AI revolution.
The EU is crafting its AI Act, but the U.S. approach is more innovation-friendly.
China has already deployed military AI and mass surveillance—America is responding with a values-driven strategy.
The U.S. is forming international coalitions to create global AI safety standards.
📢 Final Thoughts
America’s AI Action Plan is not just a tech strategy—it’s a national mission.
By fostering innovation, global partnerships, and ethical safeguards, the U.S. is crafting a vision of AI that aims to benefit humanity while defending democratic values. For developers, investors, and entrepreneurs in AI, blockchain, or Web3, this is a green light to innovate and build the future.

#AIActionPlan #artificialintelligence #CryptoAi #blockchain #BinanceSquare


$BTC $XRP

Imagine you're chatting with a chatbot—sharing something personal, asking tough questions, seeking advice or just making conversation. You expect that this exchange stays between you and the bot. But now, it turns out companies don’t just want to see what the AI says—they want to read its thoughts: the entire process of reasoning that happens before the bot gives you a response. And not just for improvements, but for monitoring, control, and possibly more.
Recently, 40 leading AI researchers proposed a concept called Chain of Thought Monitoring—tracking the AI's internal reasoning path in real time. It’s essentially the model’s inner monologue, the step-by-step thinking that leads to a final answer. The idea is that this could help prevent mistakes before they happen and allow companies to make more informed decisions about how models are trained and deployed.
On paper, it makes sense: proactive safety, error prevention, better training. But here’s the catch: if companies can read an AI's thoughts while it's interacting with users, they can also see everything the user says as part of that thinking process. Not just the final output—but your words, emotions, doubts, concerns—all embedded in the AI’s thought path.
When Safety Becomes Surveillance
As Nick Adams, founder of the hacker startup 0rcus, put it: "Raw CoT (Chain of Thought) often contains verbatim user secrets, because the model 'thinks' in the same tokens it receives." So if you tell a chatbot, "I'm feeling anxious and afraid of losing my job," that could end up stored in the AI’s reasoning chain—loggable, analyzable, and potentially exploitable.
And without strict protections, that data could be used not just for safety, but for targeted advertising, risk profiling, subpoenas, or even employee monitoring. We’ve seen this before—telecom metadata after 9/11, social media platforms that started with "connect with friends" and became surveillance engines.
The Illusion of Choice and the “Consent Theater”
Patrice Williams-Lindo, CEO of Career Nomad, warns that we’re being offered the illusion of control again. Even if you “opt out” of data collection, the model’s thought process—technically the AI’s output, not your input—might still be logged and analyzed. And that’s rarely made clear. Instead, it’s buried in 40-page privacy policies no one reads.
Is There a Safe Way Forward?
Can we balance safety with privacy? Some experts suggest technical safeguards: zero-day memory logging, hashed personal data, on-device redaction, and differential privacy noise in aggregate analytics.
But even those solutions require trust—in the very companies pushing for this kind of monitoring.
So the question more and more people are asking is simple:
If companies can read AI’s thoughts, who’s watching the watchers?
#Aİ #AI #ArtificialInteligence #artificialintelligence

In this article will raise the topic of the technologies that the #OceanProtocol offers and how they can be useful for #artificialintelligence
Since the $OCEAN offers tools that improve the process of data exchange, we will, of course, talk about #ArtificialIntelligence." training.
First, about the essence of technology. What is Compute OF Data?
Compute-to-Data (C2D) is a feature of Ocean Protocol that enables you to monetize the output of compute jobs on your datasets without revealing the contents of the data or algorithms themselves. It allows algorithms to run on private data on-premise, and only the results are shared, not the raw data. This approach helps in preserving the privacy of sensitive data while still allowing for valuable computations like statistical analysis or #AiEra model development!

Data Marketplaces & Compute-to-Data (C2D) can be useful for AI in several ways:
Access to Private Data: C2D allows AI models to be trained on private data without compromising the privacy of the data. This is because only the results of computations are revealed, not the data itself.Enhanced AI Model Development: Access to a wider range of data, including sensitive and previously inaccessible data, can improve the predictive accuracy of AI models.Monetization of Data: Data owners can monetize their datasets by providing compute access rather than selling the raw data, creating a new revenue stream while maintaining data privacy.Data Provenance: Blockchain technology records the acts of publishing, purchasing, and consuming data, providing a tamper-proof audit trail that is beneficial for AI data management.
So, Data Marketplaces & Compute-to-Data (C2D) can be useful for AI by providing a platform where data providers can publish data and buyers can consume data, all while maintaining control over the data and ensuring privacy. This is particularly valuable for AI as it enables access to vast amounts of training data while preserving the privacy of the data, which is crucial for sensitive datasets like health records. C2D resolves the tradeoff between leveraging private data for AI model development and mitigating risks associated with data exposure.
You can check detail about Ocean Protocol and technologies here - https://oceanprotocol.com
#DataEconomy