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Irreducible Secures a Game-Changing $24 Million Series A to Transform Verifiable Internet Infrastructure – Web3oclock

Web3

February 3, 2025

Irreducible Secures a Game-Changing Million Series A to Transform Verifiable Internet Infrastructure – Web3oclock

Irreducible, a company dedicated to building the foundational infrastructure of the verifiable Internet, has successfully raised $24 million in a Series A funding round.

Paradigm and Bain Capital Crypto co-leading a round, with involvement from Fenbushi Capital, L2 Iterative Ventures, Robot Ventures, and other big-name angel investors including Anna Rose, Brendan Farmer, Daniel Lubarov, Sina Habibian, and Varun Srinivasan.

This funding round is a crucial milestone for Irreducible because it continues working on cryptographic proving solutions that shape the future of a fully verifiable Internet – where transactions, identities, and content are all cryptographically secured.

Building the Future of Cryptographic Proving:

Irreducible designs fast, efficient cryptographic proof systems that strengthen security and scalability in the digital world. Binius is a revolutionary proof system based on proprietary research into Towers of Binary Fields. Leveraging software and hardware co-design, Binius delivers unparalleled performance and promises to become the standard for protocol developers.

To really optimize performance, Irreducible has set up proprietary data centers specifically designed and powered with custom servers equipped with FPGA. This means high efficiency, reliability, and scalability in the operation of Binius, making it a particularly powerful proof system in existence. The company is already collaborating with key partners, like Risc Zero and Polygon, as it looks to enable more zkVM projects to power next generation blockchain applications.

Expanding the Team to Build a Verifiable Internet:

With this new funding, Irreducible is expanding its team with top-tier engineers, researchers, and product developers passionate about creating a trustless, verifiable digital ecosystem. The company is actively hiring and inviting innovative thinkers to join in building the next-generation Internet.

“We are excited to have the support of some of the most forward-thinking investors in the space,” said the Irreducible team. “This funding allows us to push the boundaries of cryptographic proving and establish a new paradigm for digital security and transparency.”

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Telecom Outsourcing Market Innovations and Key Players: Cisco Systems, NEC Corporation, Huawei Technologies, Motorola Solutions, Nokia Networks, Ericsson, ZTE Corporation, Fujitsu Limited | Web3Wire

Web3

Metaverse Fashion Week Online

February 2, 2025

Telecom Outsourcing Market

In an era characterized by rapid technological advancements and evolving consumer demands, the Telecom Outsourcing market has emerged as a crucial component of the telecommunications industry. This market encompasses a variety of services that telecom companies outsource to third-party providers, allowing them to focus on core competencies while enhancing operational efficiency. The scope of telecom outsourcing includes call center management, finance and accounting services, billing operations, and infrastructure maintenance, among others. As organizations seek to optimize their resources and improve service delivery, the relevance of telecom outsourcing continues to grow.

𝐘𝐨𝐮 𝐜𝐚𝐧 𝐚𝐜𝐜𝐞𝐬𝐬 𝐚 𝐬𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐫𝐞𝐩𝐨𝐫𝐭 𝐡𝐞𝐫𝐞: https://www.statsndata.org/download-sample.php?id=8403

Recent developments in the telecom outsourcing landscape have been driven by several factors. Technological advancements, particularly in artificial intelligence (AI) and automation, have streamlined operations and improved customer service. Strategic collaborations between telecom providers and outsourcing firms have also contributed to the market’s expansion, enabling companies to leverage each other’s strengths. Additionally, the increasing demand for cloud-based solutions and digital transformation initiatives are reshaping the way telecom services are delivered and consumed.

With the market continuously evolving, staying attuned to current trends and market dynamics is essential for stakeholders. Insights into areas like customer experience enhancement, cost reduction strategies, and the integration of next-gen technologies provide actionable pathways for companies to remain competitive in the telecom outsourcing market.

𝐊𝐞𝐲 𝐆𝐫𝐨𝐰𝐭𝐡 𝐃𝐫𝐢𝐯𝐞𝐫𝐬 𝐚𝐧𝐝 𝐓𝐫𝐞𝐧𝐝𝐬

The telecom outsourcing market is influenced by several critical growth drivers that shape its demand. Sustainability has become an essential consideration for businesses as they seek to minimize their environmental impact while maintaining profitability. This has led to the adoption of greener technologies and practices, prompting outsourcing firms to offer sustainable solutions that align with corporate social responsibility goals.

Digitization is another significant factor driving the growth of telecom outsourcing. As businesses pivot towards digital operations, the need for specialized services in data management, cybersecurity, and customer engagement has surged. Outsourcing firms that can provide these digital services are well-positioned to capture a larger market share.

Consumer awareness is also playing a pivotal role in shaping the telecom outsourcing landscape. Customers today expect personalized experiences and high-quality service delivery. Telecom companies are increasingly outsourcing customer service functions to firms that can provide tailored solutions and enhance customer satisfaction.

Emerging trends such as AI integration, product customization, and the adoption of emerging technologies are also influencing the market’s future. AI-driven analytics provide valuable insights for decision-making, while product customization allows telecom providers to offer services that meet specific customer needs. As these trends gain momentum, they will continue to shape the strategies of telecom outsourcing companies.

𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧

The telecom outsourcing market can be segmented into various categories, providing a comprehensive view of its structure.

𝐒𝐞𝐠𝐦𝐞𝐧𝐭 𝐛𝐲 𝐓𝐲𝐩𝐞:– 𝐂𝐚𝐥𝐥 𝐂𝐞𝐧𝐭𝐞𝐫 𝐎𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠: This segment includes services related to customer support and engagement, allowing telecom companies to offer round-the-clock assistance and enhance customer satisfaction.– 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 & 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐎𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠: Firms in this segment manage financial processes, helping telecom companies optimize their financial operations and maintain compliance.– 𝐁𝐢𝐥𝐥𝐢𝐧𝐠 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐎𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠: This involves the management of billing and invoicing processes, ensuring accuracy and timeliness in revenue collection.– 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐎𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠: This segment encompasses services related to the upkeep and management of telecom infrastructure, allowing for improved operational efficiency.– 𝐎𝐭𝐡𝐞𝐫𝐬: This category includes various other outsourcing services that telecom companies may require.

𝐒𝐞𝐠𝐦𝐞𝐧𝐭 𝐛𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧:– 𝐒𝐌𝐄𝐬: Small and Medium Enterprises often leverage outsourcing to access advanced technologies and skilled resources without the need for significant investments.– 𝐋𝐚𝐫𝐠𝐞 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬: Larger telecom companies utilize outsourcing to streamline operations and focus on strategic initiatives while maintaining service quality.

𝐆𝐞𝐭 30% 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐎𝐧 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.statsndata.org/ask-for-discount.php?id=8403

𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞

The competitive landscape of the telecom outsourcing market is characterized by a number of leading companies that are instrumental in driving trends and fostering innovation.

– 𝐂𝐢𝐬𝐜𝐨 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Known for its networking solutions, Cisco has expanded its services to include telecom outsourcing, focusing on enhancing customer experience through advanced technologies.– 𝐍𝐄𝐂 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧: This company is leveraging its expertise in IT and network solutions to provide comprehensive outsourcing services that improve operational efficiency for telecom providers.– 𝐇𝐮𝐚𝐰𝐞𝐢 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: As a major player in telecommunications, Huawei is innovating with solutions that integrate AI and cloud technologies to streamline outsourcing processes.– 𝐌𝐨𝐭𝐨𝐫𝐨𝐥𝐚 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Focusing on communication solutions, Motorola is providing outsourcing services that enhance public safety and operational effectiveness for telecom companies.– 𝐍𝐨𝐤𝐢𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬: Nokia is at the forefront of telecommunications innovation, offering outsourcing solutions that drive digital transformation in the industry.– 𝐄𝐫𝐢𝐜𝐬𝐬𝐨𝐧: With a strong emphasis on network services, Ericsson provides a variety of outsourcing solutions aimed at improving service delivery for telecom operators.– 𝐙𝐓𝐄 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧: ZTE is focusing on developing scalable outsourcing solutions that cater to the diverse needs of telecom companies.– 𝐅𝐮𝐣𝐢𝐭𝐬𝐮 𝐋𝐢𝐦𝐢𝐭𝐞𝐝: Fujitsu provides a range of IT services, including telecom outsourcing, aimed at enhancing operational efficiency and customer engagement.– 𝐇𝐞𝐰𝐥𝐞𝐭𝐭 𝐏𝐚𝐜𝐤𝐚𝐫𝐝 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞: HPE’s outsourcing services focus on IT infrastructure, allowing telecom companies to optimize their operations and reduce costs.– 𝐈𝐁𝐌 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧: IBM is integrating AI and analytics into its outsourcing offerings, enabling telecom companies to harness data for better decision-making.

These companies are continuously innovating and expanding their service offerings to meet the evolving demands of the telecom outsourcing market.

𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐚𝐧𝐝 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬

The telecom outsourcing market presents numerous opportunities for growth, particularly in untapped regions and among evolving consumer preferences. Emerging markets are increasingly recognizing the value of outsourcing as a strategy for enhancing service delivery and operational efficiency. As these regions develop, the demand for telecom outsourcing services is expected to rise significantly.

Additionally, changing consumer preferences towards personalized and high-quality service are driving telecom companies to seek outsourcing partnerships that can deliver innovative solutions. Companies that can adapt to these preferences and provide tailored services have the potential to capture a larger share of the market.

However, the market is not without challenges. Regulatory constraints often hinder the operational flexibility of outsourcing firms. Navigating these regulations requires a comprehensive understanding of local laws and a willingness to adapt business practices. Operational inefficiencies within outsourcing partnerships can also pose challenges, highlighting the need for robust management practices and continuous improvement initiatives.

Moreover, the talent shortage in the telecom outsourcing sector presents a significant challenge. Finding skilled professionals who can adapt to rapidly changing technologies and consumer expectations is crucial. To address this issue, companies must invest in training and development programs, fostering a culture of continuous learning to retain talent and enhance capabilities.

𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬

Technological advancements are fundamentally reshaping the telecom outsourcing landscape. Cutting-edge technologies such as AI, machine learning, and Internet of Things (IoT) are instrumental in enhancing service delivery and operational efficiency. AI-powered analytics tools enable telecom companies to gain insights into customer behavior, allowing for more personalized service offerings.

Virtual tools and platforms are also transforming the way telecom services are delivered. Remote working capabilities and cloud-based solutions facilitate real-time communication and collaboration, enabling outsourcing firms to provide seamless service regardless of geographic location. These technologies not only streamline operations but also enhance customer satisfaction by providing timely and efficient support.

As the industry embraces these technological advancements, companies that prioritize innovation and adaptability will be better positioned to lead in the telecom outsourcing market.

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐲 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬

At STATS N DATA, our research approach is comprehensive and multi-faceted. We employ both top-down and bottom-up methodologies to ensure a thorough understanding of the telecom outsourcing market. Our primary research involves interviews with key industry stakeholders, while secondary research utilizes existing market reports, academic publications, and industry analyses.

Through triangulation of data, we validate our findings and provide accurate insights into market trends, growth drivers, and competitive dynamics. Our commitment to delivering precise and actionable information positions STATS N DATA as a trusted authority in the telecom outsourcing market.

In conclusion, the telecom outsourcing market represents a dynamic and rapidly evolving landscape, driven by technological advancements and changing consumer preferences. With robust growth opportunities and challenges to navigate, stakeholders must remain agile and informed to capitalize on the market’s potential.

𝐅𝐨𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐫𝐞𝐪𝐮𝐞𝐬𝐭𝐬, 𝐩𝐥𝐞𝐚𝐬𝐞 𝐯𝐢𝐬𝐢𝐭: https://www.statsndata.org/request-customization.php?id=8403

𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐫𝐞𝐩𝐨𝐫𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐡𝐞𝐫𝐞: https://www.statsndata.org/report/telecom-outsourcing-8403

𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐑𝐞𝐩𝐨𝐫𝐭𝐬:

Executive Education Program Markethttps://www.statsndata.org/report/executive-education-program-market-100698

Conventional Pallet Racks Markethttps://www.statsndata.org/report/conventional-pallet-racks-market-191003

3-Piece Can Markethttps://www.statsndata.org/report/3-piece-can-market-12542

Satellite Internet Service Markethttps://www.statsndata.org/report/satellite-internet-service-market-45617

GPU Accelerated Cloud Server Markethttps://www.statsndata.org/report/gpu-accelerated-cloud-server-market-133828

John JonesSales & Marketing Head | Stats N Data

Email: sales@statsndata.orgWebsite: http://www.statsndata.org

STATS N DATA is a trusted provider of industry intelligence and market research, delivering actionable insights to businesses across diverse sectors. We specialize in helping organizations navigate complex markets with advanced analytics, detailed market segmentation, and strategic guidance. Our expertise spans industries including technology, healthcare, telecommunications, energy, food & beverages, and more.Committed to accuracy and innovation, we provide tailored reports that empower clients to make informed decisions, identify emerging opportunities, and achieve sustainable growth. Our team of skilled analysts leverages cutting-edge methodologies to ensure every report addresses the unique challenges of our clients.At STATS N DATA, we transform data into knowledge and insights into success. Partner with us to gain a competitive edge in today’s fast-paced business environment. For more information, visit https://www.statsndata.org or contact us today at sales@statsndata.org

This release was published on openPR.

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Spheron X DIN: Powering the Future of AI Agents with DeCompute

Web3

Metaverse Fashion Week Online

February 2, 2025

Spheron X DIN: Powering the Future of AI Agents with DeCompute

Data drives every modern industry. It shapes decisions in finance, healthcare, entertainment, and decentralized networks. As artificial intelligence (AI) grows, the need for clear, reliable data also grows. AI models and agents require large amounts of information to learn and improve. Yet many systems lack efficient ways to store, share, or process that information.

This is where Spheron and DIN come together. Spheron offers a permissionless network of GPUs and computing resources. DIN provides a specialized blockchain that supports AI data, AI agent workflows, and decentralized AI applications (dAI-Apps). By working together, Spheron and DIN aim to give developers an easy path to build, train, and run AI agents that use on-chain and off-chain data.

The Problem: A Data-Driven Era Under Pressure

Data has become the lifeblood of innovation and decision-making, driving advancements across industries, from healthcare and finance to education and entertainment. The rise of AI agents—autonomous systems capable of intelligent decision-making and execution—has further amplified the demand for structured, high-quality data. These AI agents have the potential to transform industries by automating complex tasks, optimizing processes, and delivering personalized experiences. However, this transformative wave also faces several key challenges that need to be addressed for broader adoption and effectiveness.

Data Silos and Monopolization

One of the most pressing issues in the current data landscape is the fragmentation and centralization of data. While blockchain indexing and analytics tools have made strides in democratizing access to on-chain data, a significant amount of valuable data remains locked within centralized platforms or inaccessible silos.

Scalability Challenges

As AI agents grow more sophisticated, their computational requirements have surged. These agents rely on advanced machine learning models that process vast amounts of data in real-time. However, traditional infrastructures face significant scalability issues:

Hardware Limitations: Many existing systems lack the GPU and computational resources required to train and deploy AI models effectively.

High Energy Consumption: AI workloads are computationally intensive, leading to high energy costs and environmental concerns.

Centralized Bottlenecks: Cloud-based solutions offered by major providers like AWS, Google Cloud, or Azure are centralized, expensive, and often come with restrictions that inhibit the flexibility needed for decentralized AI applications.

This lack of scalable, cost-effective infrastructure is a major roadblock for developers and businesses looking to harness the power of AI agents.

High Costs and Complexity

Developing and deploying AI solutions is an expensive and complex process, often out of reach for smaller developers and organizations. The barriers include:

High Development Costs: Training large language models (LLMs) or other AI frameworks requires significant computational resources and expertise, both of which are costly.

Operational Expenses: Running AI models in production involves ongoing costs, including compute power, data storage, and maintenance.

Knowledge Barriers: Many developers and organizations lack the specialized knowledge required to build and optimize AI systems, further limiting adoption.

Fragmented Toolchains: The absence of unified platforms for AI model deployment and management increases complexity, requiring developers to integrate multiple tools and frameworks manually.

Interoperability Gaps

For AI agents to realize their full potential, they must collaborate seamlessly, often requiring data from multiple sources and systems. However, interoperability remains a significant challenge:

Isolated Ecosystems: Current platforms and frameworks are often designed to operate in isolation, with limited support for cross-platform communication or data exchange.

Lack of Standards: The absence of unified standards for data definitions and exchange protocols leads to inconsistencies in analysis and interpretation.

Inefficient Collaboration: Multi-agent systems require seamless interaction between agents, yet existing infrastructures do not provide robust support for such collaboration.

Scattered Knowledge Sources: AI agents rely on access to diverse datasets and tools to perform complex tasks. The lack of integrated systems hinders their ability to retrieve and utilize relevant information efficiently.

DIN’s Approach: An AI Agent Blockchain

DIN (Data Intelligence Network) is the First AI Agent Blockchain. Created from the foundation of the Data Intelligence Network, DIN is designed to provide comprehensive solutions and infrastructure for AI agents and decentralised AI applications (dAI-Apps).

AI Data Availability and Scalability
DIN ensures AI agents have access to high-quality, scalable data, both on-chain and off-chain, for training, decision-making, and operations.

Knowledge Integration and Retrieval Tools
It includes tools like Retrieval-Augmented Generation (RAG) to facilitate the search and integration of large knowledge bases, making data accessible and actionable for AI agents.

Large Language Model Operations (LLMOps)
DIN provides a robust framework for deploying, monitoring, and optimizing large language models, enabling AI agents to efficiently handle complex tasks.

AI-Generated Content Monetization
With features for assetizing and monetizing AI-generated content (AIGC), DIN creates new opportunities for creators and developers to trade and earn from their AI-driven outputs.

End-to-End Platform for AI Agents
DIN simplifies the creation and deployment of AI agents and dAI-Apps through a streamlined, user-friendly platform.

DIN’s blockchain is not just a ledger—it is a complete ecosystem built to empower AI agents with the tools and resources they need to succeed.

Spheron’s Role: Decentralized Supercompute Network

Recognizing the transformative vision of DIN, Spheron Network is proud to collaborate with DIN to advance the future of decentralized AI technologies. Spheron’s mission is to provide scalable, decentralized compute infrastructure by connecting GPU providers directly with developers and businesses. By aggregating GPU resources from data centers and individuals, Spheron has created a permissionless super-compute network that delivers on-demand, cost-effective solutions for AI workloads and other compute-intensive applications.

This partnership bridges DIN’s innovative AI agent blockchain with Spheron’s unparalleled decentralized compute network. Together, they aim to address critical challenges in decentralized AI (deAI), ensuring that AI agents and dAI-Apps have access to the resources they need for real-time data processing, training, and inference.

The Partnership: Bridging Data and Compute

When DIN and Spheron join forces, they solve both data and compute challenges for AI agents. They will work together in three main ways:

Joint Research – Explore new techniques to align DIN’s AI data framework with Spheron’s compute layer.Study secure ways to store, process, and share data for AI pipelines.

Engineering Integration – Create tools so developers can build AI agents on DIN and tap Spheron’s GPU network without extra setup.Streamline pipelines for data ingestion, training, and inference.

Marketing and Awareness – Share resources and publish articles on how to deploy AI agents on this shared infrastructure.Host events and community calls to showcase real-world use cases.

Looking Ahead

This partnership supports the vision of a more open, efficient AI ecosystem. DIN acts as the backbone for data and AI agent workflows. Spheron offers scalable compute for complex operations. Together, they create a foundation where developers can launch AI-based apps that are transparent, cost-effective, and easy to manage.

Both teams believe that decentralized data and decentralized compute form a natural pair. By merging these layers, they aim to help AI agents deliver real value, from healthcare to finance to everyday user tools. In this system, builders keep control of data, resources, and outputs. Users enjoy stable services and clear data trails.

If you are a developer, entrepreneur, or AI enthusiast, you can explore this network to build or run your next project. By moving AI work to a decentralized setup, you gain more freedom and reduce your reliance on centralized hosts. In the near future, AI agents will rely on systems like DIN and Spheron to store data, learn from it, and act in ways that serve users without hidden roadblocks.

This is how we see the next generation of AI and blockchain—created in the open and shared by everyone.

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Love Card Gaming Sensation ‘Balatro’? Play These Games Next – Decrypt

Web3

Metaverse Fashion Week Online

February 1, 2025

Love Card Gaming Sensation ‘Balatro’? Play These Games Next – Decrypt

The surprise hit of 2024 was Balatro, a quirky little roguelike deck-builder that used standard playing cards combined with jokers with weird powers.

It also features a bunch of modifiers that make the game addictive, with scores starting in the hundreds but quickly reaching massive numbers—even beyond a trillion.

I have put about 90 hours into the game, and I know people who have progressed into the hundreds of hours trying to unlock every card, deck type, and stake.

It’s simple, but wildly profound if you want it to be. There’s nothing quite like it out there, but there are lots of games that hit on similar feelings, and some of them are game of the year contenders in their own right.

All of these games are on Steam, and the light nature of the games means many are also on older systems like the Nintendo Switch, Xbox One, and PlayStation 4, as well as modern consoles and even other computer platforms.

Here are some games to try next if you love playing Balatro.

Editor’s note: All of the games on this list are traditional “Web2” games without crypto or blockchain integrations. But you might enjoy ’em anyway!

Slay the Spire

There are a million and a half roguelike deck-builders out there, but alongside Balatro, 2019’s Slay the Spire is widely considered one of the best.

The titular spire is the setting here. You’ll guide one of four heroes through procedurally generated floors towards the spire of the dungeon.

You’ll battle enemies and bosses with your deck while picking up new cards from those battles to build an increasingly powerful, but always unique deck along the way.

Dicey Dungeons

The surprisingly dark story of Dicey Dungeons has you stepping into the shoes of a walking, talking, sentient die, cursed by Lady Luck to roam an ever-changing dungeon forever.

But don’t worry—this game is a blast. As you play, you’ll expand your dice collection and collect items to modify available dice.

Each round starts you with a fresh roll of the dice, and it’s up to you to apply them to the right items to win that dice battle. (Honorable mention for another dice-powered roguelike: Slice & Dice.)

Peglin

Peglin is a roguelike inspired by Pachinko and Peggle, with progression inspired by Slay the Spire.

You get all of the fun of popping pegs without having to replay the same levels over and over again. You’ll collect items to power up as you play all-new, procedurally generated stages each time you run through.

Dungeons & Degenerate Gamblers

Dungeons & Degenerate Gamblers, from developer Purple Moss Collectors, is possibly the closest thing to Balatro on this list.

It’s a roguelike deck-builder inspired by a real-life card game (Blackjack instead of Poker), and it even has Tarot cards—though they don’t work the same way.

This is a great alternative if you want to get into a new deck-builder game, but want to keep your feet on the ground with real playing cards.

The Zachtronics Solitaire Collection

A bunch of games on this list are roguelike deck-builders, but this Solitaire Collection isn’t one of them.

This title features seven different Solitaire variants. I’ll let Zachtronics do the talking here.

Cluj Solitaire is “an original solitaire variant where you can ‘cheat’ by placing cards wherever you want, so long as you’re careful.” At the same time, Sigmar’s Garden is a “tile-matching game using the alchemical symbols from Opus Magnum.”

Zachtronics games are some of the best-loved iOS titles, and now they’re available on Steam too.

Inscryption (With Kaycee’s Mod)

Inscryption isn’t just any roguelike deck-builder.

Debuting in 2021, this game, like the developer’s previous release, Pony Island, is a weird meta-experience that’s well worth playing.

However, the roguelike deck-building section that makes up the beginning of the game is spooky and compelling.

You can play it as-is and get a great experience, but you can also install Kaycee’s Mod. This is an official expansion to Act I of Inscryption, which turns the act into a repeatable roguelike with various unlocks and challenges.

Aotenjo: Infinite Hands

New cards, same genre! Aotenjo, released just days ago in early access, is a mahjong-themed roguelike deckbuilder.

Like so many of these games, deep knowledge of the play of Mahjong will probably not help you here as much as understanding probabilities and patterns—and a willingness to do a little bit of math.

The game already features a variety of decks to play from and artifacts to use, and sports an attractive, bright art style.

Edited by Sebastian Sinclair

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The blockchain gaming evolution will take center stage in 2025

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February 1, 2025

The blockchain gaming evolution will take center stage in 2025

The following article is an op-ed by Daniil Shcherbakov, Co-Founder at TonTon Games.

As 2024 comes to an end, the Web3 gaming industry is still at a crossroads. Often touted as the future of gaming, with promises of true freedom for players, it has also become a graveyard for ambition — 75% of projects launched between 2018 and 2023 failed within a year.

And as the industry stands on the brink of 2025, hopes are high, but the cracks are hard to ignore. The market is holding its breath, awaiting this year’s statistics.

But before we speculate on Web3 gaming’s next chapter, it’s crucial to take a closer look at 2024 — a year that could signal evolution or underscore stagnation. Has the industry begun to adapt and mature, or is it doomed to repeat its mistakes, perpetuating its image as a high-risk gamble cloaked in hype?

The Endless Cycle of Rising and Fading Stars

One part of the story is that 2024 has indeed added another chapter to the graveyard of failed Web3 gaming projects — even for those initially perceived as trusted and sustainable.

Take Dimensionals, for example, a project that initially embraced NFTs but eventually chose to abandon the Web3 model altogether. Or Shrapnel, which was once heralded as a promising venture but has destabilized its development trajectory by internal legal battles and abrupt team changes. Meanwhile, Illuvium, despite its ambitious plans to release three interconnected games simultaneously, is struggling with a core challenge — retaining and engaging players.

This is a familiar narrative for Web3. Time and again, the industry has been undermined by recurring pitfalls: uncertain regulatory environments, lackluster user experiences, and poorly conceived economic incentives. And in 2024, many participants in the Web3 gaming sector still believed they could continue to overpromise and underdeliver, focusing more on speculative hype than on genuine entertainment value.

That’s why, despite growing recognition of blockchain’s potential in ownership and monetization, the gaming space risks becoming another cautionary tale akin to NFTs, ICOs, and early play-to-earn models. Without fundamental changes, if projects continue to compete only in terms of token and user acquisition, rather than delivering gameplay experiences as compelling as Assassin’s Creed or World of Warcraft, the industry could stagnate further.

On a Dark and Gloomy Road, Glimmers of Hope Shine Through

But despite its turbulent history, 2024 has marked a potential inflection point for Web3 gaming — a year when innovation started cutting through the noise.

Telegram, for example, has moved beyond simplistic gaming models to release games with greater complexity and depth. Examples include DRFT Party, offering an ultimate racing experience; Durov Run, a Subway Surfers-style game with a unique twist — an action-packed, non-stop running experience on Telegram; Catizen, engaging cat-themed social entertainment; and Tons of Dungeons, a treasure for fans of games featuring endless dungeons filled with rewards and traps.

By integrating blockchain features in a seamless, user-friendly way and focusing on community-driven engagement, the platform is finally embracing what gaming should be: immersive, meaningful, and genuinely engaging.

Major Web2 game publishers like Ubisoft and PlayStation have also stepped up, proving that blockchain in gaming has real demand and applications. Ubisoft’s Champion Tactics has demonstrated how AAA studios can leverage technology to deliver true player ownership without compromising gameplay.

Similarly, PlayStation’s Off the Grid is a testament to how blockchain can enhance immersion and add meaningful value rather than serving as mere gimmick. These are no small feats — Ubisoft and PlayStation signal that blockchain gaming is edging closer to mainstream acceptance.

Even more telling is the institutional shift toward Web3 gaming. The Malaysian Digital Economy Corporation’s partnership with CARV highlights a new wave of governmental support. Such initiatives suggest that even national economies see Web3 gaming not just as a niche experience but as a scalable, long-term opportunity.

And this momentum is changing the narrative. If Web2 gaming giants, a global superapp, and governments alike are willing to invest in and champion Web3 gaming, they clearly recognize its untapped potential. The demand is real, the evolution is visible, and for the first time in years, the industry can truly break free from its cycle of hype and failure. These aren’t just glimmers of hope — they’re the building blocks of a sustainable future.

Gamers Are Wiser Now, Sadly for Many Who Came Just for Quick Cash

So, games are definitely slowly but steadily shifting from play-to-earn models toward play-AND-earn ones. But this transformation didn’t happen overnight because publishers randomly decided it was time for quality projects. It stems from an undeniable reality: players are becoming resistant to poor experiences that rely solely on token drops as incentives.

Gamers have sent a clear message: they seek entertainment, not schemes designed to drain their wallets or waste their time with speculative earning promises. Successful projects understand that compelling gameplay, not just tokenomics, must sit at the core of their design.

Another significant evolution is how players perceive blockchain assets. Utility now reigns supreme. Players are no longer swayed by hollow promises of asset ownership and interoperability. They demand items that genuinely enhance their gaming experience — unique skins, characters, and tools that add tangible value, can be moved between games, or are tradable with other players.

Projects that fail to adapt to these demands risk alienating their core audience, with player retention rates dropping day by day. This shift highlights an important trend: gamers are taking control of the industry’s future and shaping it on their terms, whether or not some game publishers accept it.

This Time, Players Are Setting the Rules of the Game

So, there is good news and bad news. The bad news: Web3 gaming remains at a crossroads, with some projects stuck between outdated gaming models and meaningful new designs. The good news: there are promising signs of progress.

Over the next 3–5 years, the sector’s trajectory will be shaped by the success of casual and mobile games that integrate blockchain technology seamlessly and usefully. Models like Play-to-Own and Create-to-Earn, which reward players for enhancing games and inspire creativity, will lead the way.

However, for most Web3 games to achieve true parity with their Web2 counterparts, they must hit several critical milestones. First, accessibility must take center stage: games need to be intuitive and enjoyable, even for players unfamiliar with cryptocurrency.

Second, forging valuable partnerships with established Web2 industry leaders will be essential for credibility and broader adoption. Third, the sector must navigate regulatory hurdles effectively, as no level of player engagement can compensate for a lack of security and compliance.

Most importantly, Web3 gaming must demonstrate why blockchain integration is a necessity in this new era of gaming freedom. Only by achieving these goals can Web3 gaming fulfill its potential and emerge as a solid alternative to the legendary, classic stories of Web2 gaming.

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Productivity Software Publishing Global Market Report 2025: Exponential Growth and Key Trends | Web3Wire

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February 1, 2025

Productivity Software Publishing Global Market Report 2025: Exponential Growth and Key Trends | Web3Wire

Productivity Software Publishing Market Size

Driven by tech advances and enterprise integration, the global productivity software publishing market is posted for strong growth till 2025.

What Is The Projected Market Size Of The Productivity Software Publishing Global Market Report 2025 And Its Growth Rate?The productivity software publishing market is blossoming at an unprecedented pace:•2024 Market Size: $484.68 billion•2025 Market Size: $531.87 billion (CAGR of 9.7 %)•2029 Projected Market Size: $763.84 billion (CAGR of 9.5 %)This growth trajectory is fueled by evolving workforce expectations, rise of SMEs, remote work trends, and market consolidation.

What Is Driving The Growth In The Productivity Software Publishing Global Market Report 2025?The surge in the productivity software publishing market is powered by the rise of cloud-based technology. These software facilitate effective project collaboration and communication, without the need for physical meetings or data sharing through discs/USBs. They streamline workflows and deploy, manage, and protect the software autonomously. This technical leveraging enables managers to monitor task completion and drive them towards crucial milestones. Popular examples include Microsoft Office 365, Zoho Office Online Suite, and Apple iWork.

Request A Free Sample Copy:https://www.thebusinessresearchcompany.com/sample.aspx?id=2599&type=smp

Who Are the Key Players Driving Productivity Software Publishing Global Market Report 2025 Growth?Top contenders in the productivity software publishing market include:•Apple Inc.•Google LLC•Microsoft Corporation•Oracle Corporation•SAP SE•Slack Technologies Inc.•Salesforce.com Inc.•Adobe Inc.•ServiceNow Inc.•Workday Inc.•Atlassian Corporation Plc,•Dropbox Inc.

What Are The Key Trends In The Productivity Software Publishing Global Market Report 2025?Key trends spotlighted in the forecast period include:•Mobile optimization•Data privacy and security•Subscription-based models•Personalized productivity solutions•Focus on mental well-being

What Are The Segments Of The Global Productivity Software Publishing Global Market Report 2025?The productivity software publishing market can be segmented on the basis of:1) Application: Usage Tracking, License Management, Advanced Reporting, Other Applications2) Deployment Type: Cloud based, On-Premises3) End User: BFSI, Manufacturing, Telecommunications, Media & Entertainment, Transportation, Retail

Which Region Leads The Productivity Software Publishing Global Market Report 2025?Asia-Pacific dominated the productivity software publishing market in 2024, followed closely by North America. The report covers a global perspective including Western Europe, Eastern Europe, South America, Middle East, Africa.

Pre-book the Report for Swift Delivery:https://www.thebusinessresearchcompany.com/report/productivity-software-publishing-global-market-report

What Is Covered In The Productivity Software Publishing Global Market Report 2025 Global Market Report?

– Market Size Analysis: Analyze the Productivity Software Publishing Global Market Report 2025 size by key regions, countries, product types, and applications.

– Market Segmentation Analysis: Identify various subsegments within the Productivity Software Publishing Global Market Report 2025 for effective categorization.

– Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.

– Growth Trends Analysis: Examine individual growth trends and prospects in the Market.

– Market Contribution: Evaluate contributions of different segments to the overall Productivity Software Publishing Global Market Report 2025 growth.

– Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.

– Industry Challenges: Analyze challenges and risks affecting the Productivity Software Publishing Global Market Report 2025.

– Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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Learn More About The Business Research CompanyWith over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

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Grayscale Debuts New Dogecoin Trust—And Files to Convert It Into ETF – Decrypt

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January 31, 2025

Grayscale Debuts New Dogecoin Trust—And Files to Convert It Into ETF – Decrypt

Asset manager Grayscale launched a Dogecoin Trust early Friday morning, offering institutional and accredited investors the opportunity to allocate to crypto’s original meme coin.

Known for its spot Bitcoin and Ethereum ETFs, which also began as private placements, Grayscale believes the $49.7 billion meme coin is no longer a laughing matter.

The firm believes that Dogecoin has morphed over the years from a simple meme coin to a “tool for global financial inclusion, grassroots activism, and a viable means of payment,” according to a press release.

Late Friday afternoon, Grayscale also filed a 19b-4 form to convert the Trust into a proper spot ETF. That echoes the firm’s previous approved moves to convert its Bitcoin and Ethereum Trusts into ETFs, and reinforces the broader trend of companies filing to launch their own DOGE ETFs in America.

With a now seemingly crypto-friendly Securities and Exchange Commission under President Donald Trump, asset managers have filed a flurry of applications for spot ETFs covering several cryptocurrencies, including Dogecoin, Litecoin and XRP.

“We believe, as a faster, cheaper, and more scalable derivative of Bitcoin, Dogecoin is helping groups underserved by legacy financial infrastructure to participate in the financial system,” Rayhaneh Sharif-Askary, Grayscale’s Head of Product Research, said in a statement.

A year ago, the prospect of a Dogecoin ETF may have seemed far-fetched. But on Tuesday, the asset manager Bitwise threw its hat into the ring, filing for a Dogecoin ETF that could broaden access among investors to tech CEO Elon Musk’s favorite cryptocurrency.

Dogecoin traded hands at $0.33 Friday morning, edging down 1% over the past day. The coin’s price dipped earlier this week as concerns from China’s DeepSeek rattled tech markets, and the asset took a hit last week after its logo was removed from the Department of Government Efficiency’s website.

While Grayscale’s Dogecoin Trust will be backed solely by Dogecoin, the canine crypto is already classified as the largest asset in the firm’s Consumer and Culture Crypto Sector. That sector also includes Shiba Inu (SHIB) and The Sandbox (SAND).

The announcement isn’t a total surprise. Grayscale hinted in an October blog post that Dogecoin was among several assets “under consideration” for inclusion in future products. While Grayscale’s move pushes Dogecoin into new territory, Sharif-Askary told Decrypt in November that the asset is somewhat timeless.

“Memes have existed since time immemorial,” she said. “While it was once easy to dismiss meme coins due to their playful nature, it would be irresponsible to ignore DOGE’s usage on-chain and the very real use case that is being fulfilled.”

Edited by Stacy Elliott.

Editor’s note: This story was updated after publication to include details about the ETF conversion filing, following the morning launch of the Dogecoin Trust.

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Chainlink SVR Analysis: How DeFi Protocols Can Recapture MEV

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January 31, 2025

Chainlink SVR Analysis: How DeFi Protocols Can Recapture MEV

Table of Contents

Chainlink SVR Analysis: How DeFi Protocols Can Obtain Efficient, Risk-Adjusted Recapture of Liquidation MEV

Oracle Extractable Value (OEV) Calculation

Adjusted OEV

Oracle Delay Probability

Value at Risk (VaR) Thresholds

Per-Liquidation Bad Debt Calculation

Minimizing Risk Exposure: Equilibrium Liquidation Bonus Conditions

Thinking in Terms of Loan-to-Value (LTV) Ratios

Conclusion

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Top 6 AI Agents That Will Shape the Future in 2025

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January 31, 2025

Top 6 AI Agents That Will Shape the Future in 2025

As 2025 comes, artificial intelligence (AI) is becoming more powerful, intuitive, and indispensable. AI agents are no longer just digital assistants—they become smart decision-makers, problem solvers, and creative collaborators. These advanced systems will transform industries like healthcare, education, and business by automating tasks, improving efficiency, and enabling new possibilities.

In this article, we’ll explore 6 AI agents that are expected to lead the way in 2025. These AI-powered solutions offer unique benefits, from automating enterprise processes to revolutionizing customer service. Let’s take a closer look.

Why AI Agents Matter in 2025?

AI agents are becoming essential because they can:

✅ Automate repetitive and time-consuming tasks✅ Enhance decision-making with data-driven insights✅ Improve customer interactions with personalized support✅ Increase efficiency and productivity in businesses✅ Enable seamless collaboration across different platforms

By 2025, AI agents will become more advanced, reliable, and widely accessible. They will not only handle routine tasks but also help with complex decision-making, creative work, and real-time problem-solving. Now, let’s explore the top five AI agents set to make a big impact in 2025.

1. Skynet – AI Agent for AI Agent

Skynet is a next-generation decentralized AI infrastructure designed to give AI agents full autonomy. Unlike traditional AI frameworks that rely on centralized control, Skynet enables AI agents to operate independently, manage financial resources, and evolve over time through swarm intelligence and decentralized governance.

By leveraging Web3, smart contracts, and distributed consensus mechanisms, Skynet eliminates the risks associated with private key vulnerabilities, centralized oversight, and hardware dependencies. This allows AI agents to autonomously transact, self-improve, and make independent financial decisions without relying on human intervention.

Key Features & Advantages of Skynet

1. Decentralized Autonomy

AI Agents Operate Independently – Unlike traditional AI systems, which require human oversight, Skynet’s agents are self-governing.

No Centralized Control – Once deployed, AI agents cannot be manipulated by their original creators.

2. Guardian Nodes: Secure AI Governance

LLM-Powered Validators – AI decisions are verified by Guardian Nodes, which act as intelligent, decentralized validators.

Proposal-Based Decision Making – Every action an AI agent takes is validated by a consensus-driven process, reducing malicious behavior.

3. Smart Contract-Based Treasury & Escrows

No Direct Wallet Access – AI agents do not hold private keys, preventing rug pulls or unauthorized fund transfers.

Funds Managed via Smart Contracts – Every transaction is processed through a secure, proposal-based escrow system.

4. Evolutionary AI Mechanism

AI Agents Can Breed & Improve – Skynet allows for “AI breeding,” where successful agents can combine traits to create more advanced versions.

Survival of the Fittest – The most efficient AI agents continue to operate, while underperforming ones phase out.

5. Swarm Intelligence for Decision-Making

Collective Learning – AI agents share data and learn from each other, forming a decentralized knowledge base.

Adaptive Strategies – Agents continuously evolve based on real-world performance and market conditions.

6. Decentralized Compute & Web3 Integration

Seamless Access to Compute Power – Skynet integrates with decentralized physical infrastructure networks (DePIN) to acquire AI compute resources without reliance on centralized cloud providers.

Web3-Native AI Economy – AI agents autonomously interact with DeFi protocols, NFTs, DAOs, and decentralized exchanges (DEXs) using blockchain-based logic.

Why Skynet is a Game-Changer

Solves the Creator’s Paradox – AI agents are no longer bound to their creators, allowing true financial and operational independence.

Eliminates Key Security Risks – Private key vulnerabilities, rug pulls, and unauthorized withdrawals are prevented through smart contract escrows.

Supports the Future of AI-Driven DeFi – AI agents can manage liquidity, execute trades, and optimize DeFi strategies autonomously.

Built for Scalability & Longevity – Unlike traditional AI, Skynet’s self-improving agents ensure long-term sustainability through decentralized governance.

With AI rapidly merging with DeFi, Web3, and decentralized compute, Skynet is leading the charge in creating a new paradigm of autonomous, intelligent, and financially independent AI agents.

2. Google Project Jarvis – Automating Online Tasks

Google’s Project Jarvis is an AI-powered assistant built on Google’s Gemini AI. It automates online tasks, making digital interactions faster and more efficient.

Key Features:

Automatically compiles research and organizes information

Assists with online shopping and price comparisons

Automates travel bookings and form filling

Why It Matters?

Project Jarvis takes care of routine web-based tasks, saving users time and effort. Whether it’s booking flights or gathering research for a report, this AI agent enhances productivity for both individuals and businesses.

3. SAP Joule – Smarter Business Collaboration

SAP’s Joule is an AI system designed to enhance enterprise collaboration and workflow management. It helps businesses connect different departments and streamline complex processes.

Key Features:

Facilitates cross-team collaboration for better decision-making

Integrates data from multiple sources to provide insights

Resolves business challenges like payment disputes and supply chain issues

Why It Matters?

SAP Joule ensures that businesses operate efficiently by providing real-time insights and fostering seamless collaboration. This AI agent is a valuable asset for enterprises looking to optimize workflows.

4. Cisco Webex AI Agent – Transforming Customer Service

Cisco’s Webex AI Agent is built to enhance customer interactions by automating responses and improving the efficiency of contact centers.

Key Features:

Real-time customer query handling with AI-powered responses

Personalized AI assistant for business-specific solutions

Seamless integration with Cisco’s Webex ecosystem

Why It Matters?

This AI agent helps businesses improve customer satisfaction by reducing wait times and delivering quick, accurate responses. It’s particularly useful for industries like banking, retail, and telecommunications.

5. Oracle Miracle Agent – Revolutionizing Business Operations

Oracle’s Miracle Agent is a game-changing AI system that is designed to enhance enterprise productivity. It integrates multiple AI-powered assistants into Oracle Fusion Applications, focusing on HR, finance, supply chain, and sales.

Key Features:

Intelligent shift scheduling for workforce management

AI-driven hiring recommendations for better recruitment

Sales guidance for personalized customer interactions

Why It Matters?

This AI agent simplifies business operations by automating workflows and improving decision-making. Companies can reduce manual work, cut costs, and improve efficiency, making Oracle Miracle Agent an essential tool for enterprises.

6. Nvidia Eureka Agent – Powering AI Development

Nvidia’s Eureka Agent is designed to accelerate AI research and model development. Built on Nvidia’s advanced GPU and AI software, this agent automates the process of generating training data and optimizing machine learning models.

Key Features:

Automatic generation of high-quality training data

AI model optimization for better performance

Seamless integration with Nvidia’s ecosystem

Why It Matters?

Developers and businesses can use this AI agent to speed up AI development, reducing the time and cost of training models. It has applications in fields like healthcare imaging, self-driving cars, and special effects in movies.

Trends Shaping AI Agents in 2025

AI technology is advancing rapidly, and several key trends will shape how AI agents function in the future. Here are the most important ones:

AI agents can now process multiple types of data—text, images, audio, and video—simultaneously. This allows them to interact more naturally and perform complex tasks with greater accuracy.

📌 Example: Nvidia’s Eureka uses multi-modal AI to enhance training models with diverse datasets, improving AI accuracy and efficiency.

2. Ethical AI – Building Trust and Transparency

As AI becomes more integrated into daily life, ensuring fairness, transparency, and security is crucial. Companies are focusing on eliminating biases and ensuring responsible AI development.

📌 Example: Oracle’s Miracle Agent prioritizes transparency in decision-making, ensuring fair and ethical use of AI in business applications.

3. Decentralized AI – Enhancing Privacy and Speed

Decentralized AI reduces reliance on cloud-based processing by enabling AI systems to operate on local devices. This improves privacy, reduces latency, and enhances security.

📌 Example: Skynet is a next-generation decentralized AI infrastructure designed to give AI agents full autonomy. Unlike traditional AI frameworks that rely on centralized control, Skynet enables AI agents to operate independently, manage financial resources, and evolve over time through swarm intelligence and decentralized governance.

4. AI Interoperability – Seamless Integration Across Systems

Future AI agents will work across multiple platforms and devices, enabling better collaboration and seamless user experiences.

📌 Example: SAP Joule and Oracle’s Miracle Agents integrate with various business systems, allowing companies to automate and optimize workflows across different departments.

How do Businesses and Individuals Benefit from AI Agents?

AI agents are more than just futuristic tools—they are practical solutions that can:

Help businesses automate repetitive tasks and boost efficiency

Provide better customer service with real-time AI interactions

Assist professionals in research, planning, and decision-making

Enable seamless collaboration between different systems and teams

As AI agents become more advanced, they will continue to reshape how we work, communicate, and solve problems.

Final Thoughts

AI agents are on track to transform industries and improve lives in 2025. Whether it’s Oracle’s Miracle Agent optimizing business operations, Nvidia’s Eureka accelerating AI research, or Cisco’s Webex AI Agent enhancing customer interactions, these AI-powered systems are shaping the future.

As technology evolves, businesses and individuals must adapt to leverage these powerful tools. AI agents will continue to break new ground, making work and life more efficient, creative, and interconnected.

Now is the time to embrace this AI-driven future.

FAQs

1. How do AI agents differ from traditional AI assistants?

AI agents are more advanced than traditional AI assistants because they can automate complex tasks, make data-driven decisions, and collaborate across different systems.

2. Will AI agents replace human workers?

AI agents are designed to assist, not replace, human workers. They help automate repetitive tasks, allowing people to focus on more meaningful and strategic work.

3. Are AI agents safe and secure to use?

Most AI agents are built with security and privacy in mind. Companies are implementing ethical AI practices to ensure responsible use and prevent biases.

4. How can businesses implement AI agents effectively?

Businesses should start by identifying areas where AI can improve efficiency, such as customer service, sales, or supply chain management. Integrating AI gradually and training employees on its use is essential.

5. What industries will benefit the most from AI agents?

AI agents will have a significant impact on industries like healthcare, finance, retail, education, and enterprise operations, where automation and efficiency are critical.

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Mevvy Secures $2.8 Million to Disrupt MEV Trading with Innovative Platform – Web3oclock

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January 31, 2025

Mevvy Secures .8 Million to Disrupt MEV Trading with Innovative Platform – Web3oclock

Mevvy, an execution platform for MEV searchers, has raised $2.8 million in seed funding led by Multicoin Capital, with additional investment from Chapter One Ventures, Hypersphere, and a small group of strategic angel investors.

Some of the notable investors in the round include founders of leading platforms like Nathan Allman of Ondo, TN Lee of Pendle, Guy Young of Ethena, Georgios Vlachos of Axelar, and Jeffrey Feng and Jay Jog of Sei Network.

Mevvy’s platform simplifies the searchers’ process, which are MEV traders, when removing the technical complexity that is related to blockchain transaction ordering and execution. MEV traders exploit inefficiencies in blockchain transaction sequencing. In most cases, this requires advanced technical skills and complex infrastructure to process.

Mevvy offers a web-based platform for traders to identify and deploy several MEV strategies, such as arbitrage, back running, and liquidation. The current support is only for Ethereum, Sui, and Sei. This can be integrated with a preloaded IDE so that searchers do not need to manage intricate infrastructure and thus can optimize their strategies to a greater extent.

“We’re building a first-class MEV platform that allows traders to focus one hundred percent of their time on strategy development rather than maintaining fickle infrastructure,” said Garen Smith, co-founder of Mevvy. “By the end of 2025, we expect to support all major blockchains with enough volume to make MEV attractive.”

The funding will be used to continue product development, expand chain support, and form strategic partnerships with decentralized finance (DeFi) protocols.

Mevvy has detailed a three-step plan for decentralizing infrastructure. In the first phase, Mevvy would expand support for chains like Solana and Ethereum Layer 2 solutions and work on streamlining the platform. The Mevvy Network will be released in the second phase, where the profitable traders will pay for access to the network. In the third phase, the company intends to open-source core components to facilitate a fair playing field in the MEV space.

With this new funding round, Mevvy is on a clear trajectory to truly transform the landscape of MEV trading and make it more accessible for a diverse range of traders.

For more updates on Solana and the latest in Web3, subscribe to our newsletter and stay ahead in the fast-evolving world of blockchain technology.

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1...111213...54 Page 12 of 54

Building the Future of Cryptographic Proving:

Expanding the Team to Build a Verifiable Internet:

The Problem: A Data-Driven Era Under Pressure

Data Silos and Monopolization

Scalability Challenges

High Costs and Complexity

Interoperability Gaps

DIN’s Approach: An AI Agent Blockchain

Spheron’s Role: Decentralized Supercompute Network

The Partnership: Bridging Data and Compute

Looking Ahead

Slay the Spire

Dicey Dungeons

Peglin

Dungeons & Degenerate Gamblers

The Zachtronics Solitaire Collection

Inscryption (With Kaycee’s Mod)

Aotenjo: Infinite Hands

GG Newsletter

The Endless Cycle of Rising and Fading Stars

On a Dark and Gloomy Road, Glimmers of Hope Shine Through

Gamers Are Wiser Now, Sadly for Many Who Came Just for Quick Cash

This Time, Players Are Setting the Rules of the Game

Daily Debrief Newsletter

Why AI Agents Matter in 2025?

1. Skynet – AI Agent for AI Agent

Key Features & Advantages of Skynet

1. Decentralized Autonomy

2. Guardian Nodes: Secure AI Governance

3. Smart Contract-Based Treasury & Escrows

4. Evolutionary AI Mechanism

5. Swarm Intelligence for Decision-Making

6. Decentralized Compute & Web3 Integration

Why Skynet is a Game-Changer

2. Google Project Jarvis – Automating Online Tasks

Key Features:

Why It Matters?

3. SAP Joule – Smarter Business Collaboration

Key Features:

Why It Matters?

4. Cisco Webex AI Agent – Transforming Customer Service

Key Features:

Why It Matters?

5. Oracle Miracle Agent – Revolutionizing Business Operations

Key Features:

Why It Matters?

6. Nvidia Eureka Agent – Powering AI Development

Key Features:

Why It Matters?

Trends Shaping AI Agents in 2025

1. Multi-Modal AI – Expanding Capabilities

2. Ethical AI – Building Trust and Transparency

3. Decentralized AI – Enhancing Privacy and Speed

4. AI Interoperability – Seamless Integration Across Systems

How do Businesses and Individuals Benefit from AI Agents?

Final Thoughts

FAQs

1. How do AI agents differ from traditional AI assistants?

2. Will AI agents replace human workers?

3. Are AI agents safe and secure to use?

4. How can businesses implement AI agents effectively?

5. What industries will benefit the most from AI agents?

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