What is Ergo? Ergo is a smart contract Layer 1 built for secure, decentralized financial contracts - the kind that don’t need banks, middlemen, or permission. It merges the security of Bitcoin’s UTXO model with the flexibility of modern scripting to create what it calls “Contractual Money” - programmable value you can actually trust. No ICO. No pre-mine. No VC baggage. Just an economically sustainable PoW blockchain, purpose-built for long-term utility. Think of it as Digital Gold 2.0 , but with the brainpower to back real DeFi and programmable contracts. Tech that Doesn’t Beg for Hype Ergo has quietly shipped some of the most advanced features in the space: Autolykos Proof-of-Work - A lightweight, ASIC-resistant mining algorithm optimized for decentralization. Extended UTXO Model - Combines Bitcoin’s security with Ethereum-level programmability. Sub-Blocks & v6 Protocol - significantly improves transaction processing speed and reliability, making DeFi on PoW much more competitive. Rosen Bridge - Cross-chain bridge already connecting BTC, ADA, ETH, BSC - with DOGE and Runes on deck. Lithos Mining Pool Infra - A chain-agnostic, rollup-based mining pool system that settles on Ergo. Every upgrade is grounded in security, sustainability, and accessibility - not just gas fees and hype metrics. Live Experiments in Monetary Engineering Ergo is also one of the few chains seriously experimenting with decentralized monetary systems: DexyGold - A gold-pegged overcollaterized stablecoin for true decentralisation, anchoring digital value to a trusted physical benchmark. ChainCash - Elastic, trust-backed money creation using blockchain assets Celaut - A decentralized AI runtime aiming to build permissionless, reputation-driven autonomous services This isn’t theoretical. These are working models pushing DeFi beyond TVL charts and meme liquidity. Ergo by the Numbers (and Notables) 0 ICO 0 pre-mine 0 VC funding 100% commitment to decentralization Supported by a global dev community, regular ErgoHack events, and one of the most principled engineering cultures in the game. Fun Fact: The Name Means Work “Ergo” is Latin for “therefore.” It’s also Greek for “work.” Its ticker, ERG , is a unit of energy. It’s a nod to logic, Proof of Work, and computational value - all in one. No flash. No fast-money schemes. Just a rigorously built, community-owned chain that’s been quietly doing the work. Ergo doesn’t chase virality - it chases verifiability . If you believe programmable money should be secure, fair, and sustainable - Ergo is already building it.
SHIB remains in a downtrend despite several attempts to break away. Key Support levels: $0.0000107 Key Resistance levels: $0.000014 1. Sellers Dominate In the past five weeks, SHIB’s price has closed in red. This comes after buyers attempted to break the resistance at $0.000014, but failed. The current support is found at $0.0000107 which stopped sellers in the past. A retest of this level appears likely if the bulls don’t return soon. Chart by TradingView 2. Momentum is Lacking A look at the weekly MACD shows a flat histogram. This is indicative of no clear trend. While the price is falling right now, it is still found in the same range since the start of the year. The bulls hope that this sideways price action can form a bottom here that can lead to a renewed uptrend in the future. Chart by TradingView 3. Volume has Crashed Since March 2024, SHIB has been making lower highs in terms of volume. This is a bad signal because it shows that market participants are distracted elsewhere, most probably by the Solana meme market where most traders relocated last year. As long as the volume is in decline, it’s hard to see a reversal happening. Chart by TradingView The post Shiba Inu (SHIB) Price Predictions for This Week appeared first on CryptoPotato .
France-based The Blockchain Group aims to raise $342 million (300 million euros) to increase its Bitcoin holdings, reinforcing Europe’s growing role in institutional crypto adoption. The firm, calling itself Europe’s first Bitcoin treasury company, will raise funds using a method similar to the U.S. “At the Market” (ATM) model. Shares will be issued under market conditions by a designated counterparty, with pricing based on the higher of the previous day’s close or the volume-weighted average, and limited to 21% of daily trading volume. Just last week, the company added $68 million in Bitcoin to its treasury, pushing its total stash to 1,471 BTC—currently worth more than $154 million. Other major players are also ramping up their BTC holdings. Strategy, led by Michael Saylor, is targeting $1 billion in fresh funds to expand its already massive Bitcoin position. The company currently holds over $61 billion in BTC, accounting for 2.76% of all Bitcoin in circulation. Despite Bitcoin cooling off after hitting a record $112,000 on May 22, industry experts say institutional interest remains strong. According to Nexo’s Stella Zlatareva, strategic accumulation and infrastructure investments continue to support the long-term bullish case. Bitcoin has recently bounced from the $103,000 level, showing resilience. However, not all signals are positive—U.S.-listed Bitcoin ETFs saw two straight days of outflows, totaling $325 million by Friday.
BitcoinWorld Democratizing AI: Google Cloud’s Powerful Vision for Agent Development In the dynamic world where technology constantly pushes boundaries, the convergence of fields like AI and digital assets is creating new possibilities. At Bitcoin World Sessions: AI, a key theme emerged: the critical need for accessible artificial intelligence. Google Cloud’s Iliana Quinonez shed light on the company’s vision for democratizing AI agent development , emphasizing its importance for organizational progress and collaborative workflows. This isn’t just a technical discussion; it’s about unlocking potential for businesses and innovators everywhere. Why is Democratizing AI Agent Development Crucial? Historically, creating sophisticated AI solutions required specialized skills, significant investment, and complex infrastructure. This limited the benefits of AI to large corporations or research institutions. Google Cloud believes that for AI to truly transform industries, it must be accessible to everyone, regardless of their technical background or company size. The rationale behind democratizing AI is multifaceted: Accelerated Innovation: More people building AI agents means more diverse ideas and faster development cycles. Increased Adoption: Easier tools lead to wider use of AI across different sectors and business functions. Level Playing Field: Small and medium-sized businesses can compete by leveraging AI without needing massive R&D budgets. Addressing Talent Gap: Simplified platforms help bridge the shortage of highly specialized AI engineers. What Exactly Are AI Agents? Before diving deeper, it’s helpful to understand what an AI agent is. Unlike a simple program that follows explicit instructions, an AI agent is designed to: Perceive its environment: It can take in information from various sources. Make decisions: Based on its programming and learned data, it chooses actions. Act to achieve goals: It performs tasks to reach a specific objective. Learn and adapt (often): Many agents can improve their performance over time through experience. Think of them as intelligent assistants capable of handling complex tasks, automating workflows, or interacting with users or other systems autonomously to achieve defined outcomes. This capability is fundamental for modern AI for business applications. How Google Cloud AI is Enabling Accessibility Google Cloud is building the foundation to make AI agent development more accessible. Their approach involves providing a suite of tools, platforms, and infrastructure designed to lower the technical barriers. Key aspects include: Managed Services: Offering services that handle the complexities of infrastructure management, allowing developers to focus on building the AI logic. Pre-trained Models: Providing access to powerful, pre-built AI models that can be customized or used off-the-shelf, reducing the need to train models from scratch. Intuitive Development Environments: Creating user-friendly interfaces and tools that simplify the process of designing, building, testing, and deploying AI agents. Scalable Infrastructure: Providing the necessary computing power and storage that can scale with the needs of AI applications, from small projects to large-scale deployments. This focus by Google Cloud AI is transforming the landscape, making sophisticated AI capabilities available to a broader audience. Tangible Benefits of Accessible AI Agents Making AI agent development easier translates into real-world benefits for organizations: Increased Efficiency: Automate repetitive or complex tasks. Streamline workflows across departments. Improve data processing and analysis speed. Enhanced Collaboration: Agents can act as intelligent intermediaries between systems or teams. Facilitate better communication and information sharing. Support human decision-making with data-driven insights. Accelerated Innovation: Rapid prototyping and testing of new AI-powered services. Easier experimentation with different AI models and approaches. Faster deployment of innovative solutions to market. Improved Customer Experiences: Deploy intelligent chatbots or virtual assistants. Personalize services based on user behavior. Provide faster and more accurate support. These benefits highlight why accessible AI for business is not just a technical goal, but a strategic imperative. What Does This Mean for the Future of AI? The push towards democratized AI agent development is shaping the future of AI in profound ways. We can expect to see: Ubiquitous AI: AI agents will become integrated into more software, services, and devices. Specialized Agents: A proliferation of highly specific agents designed for niche tasks or industries. Human-AI Collaboration: Increased focus on how humans and AI agents can work together effectively, rather than AI simply replacing human roles. New Business Models: The emergence of companies built around providing or utilizing easily developed AI agents. This future envisions a world where AI is not a mysterious black box but a powerful, flexible tool available to a much wider population of creators and users. Navigating the Path to Accessible AI: Challenges and Considerations While the vision of democratized AI is exciting, challenges remain. Organizations adopting or building AI agents must consider: Data Privacy and Security: Ensuring sensitive data is handled responsibly and securely by AI agents. Ethical AI Development: Building agents that are fair, transparent, and accountable. Skill Development: Even with simpler tools, understanding AI concepts and best practices is necessary. Integration Complexity: Integrating new AI agents into existing systems and workflows can still be challenging. Addressing these points is crucial for realizing the full potential of accessible AI. Getting Started with Accessible AI Agent Development For individuals and organizations looking to explore this space, Google Cloud and others are providing resources. Start by exploring available platforms and tools, experimenting with simple agent tasks, and focusing on clear business problems that AI can solve. Learning basic AI concepts and understanding data requirements are valuable first steps. Conclusion: Unlocking Potential Through Accessibility Google Cloud’s vision for democratizing AI agent development , as highlighted at Bitcoin World Sessions: AI, is a significant step towards a future where the transformative power of AI is available to a much broader audience. By lowering barriers to entry, providing robust tools through Google Cloud AI , and fostering innovation, the path is being cleared for organizations of all sizes to leverage AI for business advancement. This accessibility is not just changing how we build AI; it’s fundamentally reshaping the future of AI itself, promising increased efficiency, enhanced collaboration, and unprecedented innovation across industries. To learn more about the latest Democratizing AI trends, explore our article on key developments shaping AI features . This post Democratizing AI: Google Cloud’s Powerful Vision for Agent Development first appeared on BitcoinWorld and is written by Editorial Team
Bitcoin price is poised for a short-term correction before potentially surging past its all-time highs, driven by key technical patterns and upcoming economic data. Market analysts highlight the critical role
Ether investment products saw $296 million in inflows last week despite a market slowdown, as investors await clarity from the US Fed’s June rate decision.
XRP gives hints it wants to move higher again. XRP Price Predictions to Watch This Week Key Support levels: $2 Key Resistance levels: $2.3, $2.6, $3 1. Reversal in Progress After sellers took the price to $2, the bulls returned and managed to take XRP just under the $2.3 key resistance. If they manage to break this level, then this cryptocurrency has a clear path towards $2.6 next. The price action is also turning bullish, but a break above $2.3 is necessary to confirm it. Chart by TradingView 2. Buyers are Returning If we zoom out, we can see an inverted head and shoulders formation with the shoulders finding good support at $2. If this pattern holds, then XRP could see sustained gains in the future as it aims to revisit $2.6 or even $3 if the buy volume increases as well. Chart by TradingView 3. MACD Bullish Cross Another clear sign that buyers are back can be seen on the daily MACD. The moving averages are about to complete a bullish cross. If confirmed, this could be the start of a sustained uptrend that can see XRP entice buyers to return. This could also spike volatility and momentum. Chart by TradingView The post Ripple (XRP) Price Predictions for This Week appeared first on CryptoPotato .
XRP just death crossed the line, and not in a good way: Details inside
Welcome to Latam Insights Encore, a deep dive into Latin America’s most relevant economic and crypto news from the past week. This edition explores how Latam is changing its position on Trump’s tariff threats, given his trend of backing away from enacting these measures. Latam Insights Encore: Latin America Is Noticing Trump’s Tariffs Are All