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shares gain on new AI data center

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WULF lower by 6% after $900 million capital raise

IREN (IREN) shares rose more than 4% in pre-market trading on Wednesday after the company announced plans for an 800-megawatt data center campus in South Australia, marking its first major Australian data center project.

The agreement secures a high-voltage grid connection capable of supporting up to 800MW of power for the campus without requiring major network upgrades.

IREN said the project remains on track for initial energization beginning in 2028, subject to regulatory approvals and other conditions. The site will also benefit from submarine fiber connectivity linking it to key Asia-Pacific markets, including Singapore, Indonesia, South Korea and Japan.

Management highlighted strong regional demand for AI infrastructure, noting a widening gap between projected computing needs and available capacity across Asia-Pacific. South Australia’s push toward 100% net renewable energy by 2027 was also cited as a key competitive advantage for the development.

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Co-Founder and Co-CEO Daniel Roberts said the project combines access to abundant renewable energy, international connectivity and a supportive policy environment. The campus is expected to create more than 500 construction jobs and over 200 permanent skilled positions once operational.

Recently, Daniel Roberts said the company’s long-term AI strategy is built on owning power, land and data centers.

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From Wallets to Agents: CoinFello’s Bet on the Future of DeFi (Interview)

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DeFi has long promised open and self-custodial finance. But for most users, actually using it still means juggling through wallets, dApps, bridges, pools, approvals, and risks that are very hard to understand in real time, especially for someone who’s relatively new to the industry.

CoinFello believes that the experience is ready for a major shift. With Fello 1, the company is building a self-sovereign AI agent designed to help users interact with DeFi through plain language while keeping complete control over their wallets and keys.

In the following interview with the founder, we go through why agents could become the primary interface for onchain finance, how controlled delegation can make automation a lot safer, and why liquidity provision is one of the first major frontiers for agent-powered decentralized finance.

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CoinFello is positioning itself as a self-sovereign AI agent for DeFi. In simple terms, what problem are you trying to solve that wallets and dapps have not solved yet?

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CoinFello is a completely new way to understand, use, and automate smart contracts.

The previous paradigm required users to create a wallet, navigate many disjointed websites, connect that wallet to a website, and then almost blindly trust that the smart contracts on that website do what the website promises they do. This made DeFi inaccessible, extremely complicated, and dangerous, and was one of the primary barriers to broader DeFi adoption.

CoinFello’s approach is to give users an agent that can interface directly with the smart contracts through a Claude-like user experience that people are familiar with. The agent isn’t just easier to use, it also opens up new frontiers of automation, where agents can act on behalf of users to accomplish virtually anything in DeFi: batch swap multiple tokens and bridge them across networks, discover advanced yield strategies, optimize existing deposits, take out a loan and automate payments, and a whole lot more. CoinFello makes doing these things super simple.

Fello 1 is described as a general-purpose DeFi agent rather than a narrowly integrated assistant. Why is general-purpose execution important, and what does it unlock for users that protocol-specific interfaces cannot?

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DeFi is not one app or use case.

DeFi is an ecosystem of contracts, protocols, pools, vaults, bridges, and networks that constantly change.

Unfortunately, most of the crypto AI agent products on the market are just trading bots connected to some centralized API. If an agent only works through narrow integrations, it will always be limited to a few narrow use cases. That’s not how people use the internet (web browsers), their phones (extensible smartphones), AI agents, or even Ethereum itself. All of the great innovations were fundamentally extensible.

General-purpose execution means Fello 1 can reason about and interact with EVM-compatible smart contracts more broadly, instead of being locked into a small set of pre-built workflows. That unlocks all kinds of use cases that we ourselves never anticipate or integrate with. New pools, new protocols, and new opportunities can become accessible faster, without waiting for a dedicated front end or a code release for every specific action.

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For the user, the benefit is simple: they do not need to jump between ten different interfaces to complete one DeFi strategy. They can describe what they want, review the steps, and execute across protocols from one agentic interface.

One of CoinFello’s core promises is that users can interact with DeFi through plain language while keeping custody of their wallets and private keys. How do you balance ease of use with the security expectations of self-custody?

We’ve tried to bring self-custody principles to the agentic era. This means that funds must remain in a self-custodied wallet, and agents should have guardrails enforced on them that define what funds they can access, in what ways those funds can be used, and for how long that agent has access to those funds.

With Fello 1, users keep their wallets and private keys. The agent operates through limited permissions that the user chooses to grant, and users review and approve transactions before execution. Plain language is the interface layer, not a replacement for consent. We fundamentally disagree with the approach of transferring funds to a centralized trading bot and hoping for the best.

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The goal is to reduce cognitive overload without reducing user sovereignty. Fello can do the math, explain the route, surface the risks, prepare the transaction, and monitor positions, but the user remains in control of what permissions exist and what actually gets executed.

The Fello 1 launch puts a lot of emphasis on liquidity provision, including Uniswap V2, V3, and V4 positions, fee tiers, impermanent loss, and live position monitoring. Why did you choose LP management as such an important use case for the product?

Liquidity provision is one of the best examples of DeFi’s promise and its complexity. Concentrated liquidity can be a powerful yield opportunity, but it asks a lot from the user. You need to understand price ranges, ticks, fee tiers, pool selection, position sizing, impermanent loss, and when your liquidity is in or out of range.

That is exactly the kind of experience where an AI agent can create real value. Fello 1 can handle the mechanical and analytical parts: identifying LP strategies, doing the math, monitoring the position, explaining whether it is in range, showing the real return, and helping the user understand the trade-offs.

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We chose LP management because it is not just a button-clicking problem. It is a decision-support problem. If we can make LPing understandable and manageable for more users while keeping them self-custodial, that is a major step toward making DeFi more mainstream.

AI agents in crypto are often associated with automation, but CoinFello says Fello 1 is not designed as an autonomous trading bot and that users still review and approve transactions. Where do you draw the line between helpful automation and too much delegation?

To be clear, we are building for automation, and we deeply believe users should be able to delegate approval for tightly defined automations to their agent. These are very complex problems to solve, so we’ve been working to expand the agent’s capabilities and the kinds of automation the user can create through the permissions and delegations we’ve been championing.

You previously led operations at MetaMask, one of the most important wallet products in crypto. What did that experience teach you about user behavior, wallet UX, and self-custody that directly shaped CoinFello?

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MetaMask had a very radical vision in the early days of Ethereum. Most people at the time were building “use case wallets” with a handful of brittle integrations. MetaMask sought to do something else: create a permissionless and extensible wallet that could be used with any smart contract protocol.

We’ve brought the same radical values and vision to CoinFello that we previously used to build MetaMask. While most in the agent space are building narrow “use case bots,” our goal is different: to bring users onchain, and give them access to the entire decentralized web.

We also learned about the limitations of trying to solve the safety and user experience problems at the wallet layer. Wallets are forced to maintain endless integrations with third party protocols, and these integrations make their products slow to innovate, highly prone to bugs, and generally dangerous because the wallet still can’t understand what a smart contract *actually does.*

CoinFello is how we will solve these problems for the next wave of on-chain innovation.

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CoinFello relies on a delegation model where users grant agents limited permissions that can be modified or revoked. What does a safe permission system for onchain AI agents need to look like as these tools become more powerful?

A safe permission system needs to be specific, limited, transparent, and revocable.

Users should not have to grant broad, unlimited authority over funds to an agent. Permissions should be scoped by action type, asset, protocol, amount, duration, and any other relevant rule the user cares about. The user should be able to see what permissions exist, understand what they allow, and revoke or modify them at any time.

As agents become more powerful, permission design becomes one of the most important parts of the stack. The future is not giving the AI your keys. The future is controlled delegation, where the agent can help execute within boundaries that the user defines. That is how we get the benefits of automation without sacrificing self-sovereignty.

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Looking ahead, do you think the future of DeFi will still be built around users manually navigating dapps, or will agents become the primary interface for onchain finance?

I think dapps will still matter, but agents will become the primary interface for most users.

Today, DeFi still looks like the early internet in some ways. Users manually navigate different websites, learn different interfaces, and stitch together actions themselves. That works for power users, but it does not scale to broader adoption.

Agents change the interface from navigation to intent. Instead of asking users to know exactly which protocol to use and which buttons to click, they can say what they want to accomplish, compare options, understand risks, and approve execution.

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The future of on-chain finance will still be open, composable, and self-custodial. But the way users access it will become much more conversational, automated, and personalized. Our view is that agents will become the execution layer that makes DeFi usable for the next wave of users.

Disclaimer: The content shared in this interview is for informational purposes only and does not constitute financial advice, investment recommendation, or endorsement of any project, protocol, or asset. The cryptocurrency space involves risk and volatility. Readers are encouraged to conduct their own research and consult with qualified professionals before making any financial decisions. This interview was conducted in cooperation with CoinFello, who generously shared their time and insights. The content has been reviewed and approved for publication in mutual understanding. Minor edits have been made for clarity and readability, while preserving the substance and tone of the original conversation.

The post From Wallets to Agents: CoinFello’s Bet on the Future of DeFi (Interview) appeared first on CryptoPotato.

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Andrew Cuomo Tapped to Co-Chair OKX-ICE Crypto Joint Venture

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Andrew Cuomo Tapped to Co-Chair OKX-ICE Crypto Joint Venture


Andrew Cuomo will co-chair a joint venture between OKX and Intercontinental Exchange, the parent of the New York Stock Exchange, the companies disclosed Monday. The former New York governor takes the role as ICE's strategic push into crypto markets reaches its highest-profile political appointment… Read the full story at The Defiant

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Aave (AAVE) gains 5.9% as index moves higher

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9am CoinDesk 20 Update for 2026-06-24: leaders

CoinDesk Indices presents its daily market update, highlighting the performance of leaders and laggards in the CoinDesk 20 Index.

The CoinDesk 20 is currently trading at 1682.86, up 0.5% (+8.62) since 4 p.m. ET on Tuesday.

Fifteen of 20 assets are trading higher.

9am CoinDesk 20 Update for 2026-06-24: leaders

Leaders: AAVE (+5.9%) and ICP (+2%).

Laggards: XLM (-1.4%) and ADA (-1.2%).

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The CoinDesk 20 is a broad-based index traded on multiple platforms in several regions globally.

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The banking lobby is wrong about stablecoins and community banks

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The banking lobby is wrong about stablecoins and community banks

Stablecoins are no longer a fringe market. Their total supply has exceeded $300 billion, and USDT₮, the largest stablecoin, briefly overtook Ethereum by market capitalization to become the second-largest digital asset behind bitcoin. Banks are right to pay attention.

But paying attention is different from pressuring Congress to slow the market down.

Stablecoins create new competition around payments, settlement, float, and customer relationships. Some of that competition will be uncomfortable for banks. It should be. Financial technology does not move forward only when incumbents are comfortable.

That does not make stablecoins a systemic threat to community banking.

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There is a precedent for this. Over the last decade, fintech companies embedded banking features into consumer apps, business platforms, payroll tools, lending products, and payment systems. Many did so through bank partners. That changed how customers interacted with financial services. It created new competition. It pushed banks to modernize. But it did not wipe out community banking.

Fintech applications like PayPal and Stripe have popularized digital banking and built large user bases since their emergence. However, banks have never treated fintech as a threat, but rather as an opportunity to expand their offerings and improve user experiences through collaborations and integrations. Looking at the numbers alone, SoFi, the largest publicly traded fintech bank, had $37.5 billion in total deposits in the last quarter of 2025, accounting for less than 0.2% of the US bank’s $20 trillion deposit base. If fintech was never a threat, why treat stablecoins differently?

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Bitcoin just broke below the floor of its famous Rainbow Chart into the ‘BTC is dead’ zone

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Bitcoin just broke below the floor of its famous Rainbow Chart into the ‘BTC is dead’ zone

Bitcoin peaked at $126,000 in October without reaching the Rainbow Chart’s upper red bands. Now, with BTC near $62,500, the price has fallen below the chart’s floor.

The divergence comes as other widely followed bitcoin valuation models have also struggled. The Stock-to-Flow model, which links bitcoin’s price to its programmed supply reductions, projected significantly higher prices following the 2024 halving than bitcoin ultimately achieved.

Mark Zalan, CEO of GoMining, agreed that the bottom band does not indicate a permanent collapse.

Bitcoin dead zone

“The ‘Bitcoin is Dead’ zone doesn’t mean Bitcoin is actually dead,” Zalan told CoinDesk. “Historically, it has often marked periods of extreme fear and undervaluation, which were later followed by recoveries. It signals sentiment more than certainty.”

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Zalan said the chart remains useful, but “less precise than it once was.”

“The 2025 cycle showed that BTC doesn’t have to follow old patterns exactly,” Zalan said. “ETFs, institutions and changing market structure have altered the game.”

Bitcoin is trading near its April 2024 halving price, a development that runs counter to expectations for the current four-year cycle.

Levin said the chart confirms what the “cycle data has been showing us, the exponential growth assumptions baked into this chart were calibrated to a retail-driven, illiquid asset, not a $1.25 trillion market with ETF flows and institutional balance sheets setting the marginal price.”

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World expands AgentKit to connect human verified AI agents to World ID

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World expands AgentKit to connect human verified AI agents to World ID
  • World expands AgentKit for verified AI agents using World ID.
  • AI agents can act online on behalf of verified human users.
  • System aims to prevent bots while enabling trusted automation.

World is expanding access to AgentKit, its framework designed to create human-verified AI agents and allow individuals to connect those agents to a verified World ID.

The system enables AI agents to act on behalf of users across the internet while maintaining identity verification through World’s network.

The development comes as AI agents become increasingly capable of performing online tasks such as shopping, making reservations, navigating websites, and interacting with digital services.

This growing capability has created a challenge for businesses in distinguishing between agents representing real users and automated bot networks.

AgentKit is positioned as a response to that issue by linking AI agents directly to World ID, allowing websites and applications to verify when an agent is acting on behalf of a unique human.

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The framework is designed to support task delegation while maintaining safeguards tied to identity verification and user control.

How AgentKit links AI agents to verified identity

To begin using AgentKit, individuals require a verified World ID, access to World App, and a supported AI agent, including tools such as Claude Code, Codex, Cursor, Hermes, or OpenClaw.

Users connect their proof of human through World’s ToolRouter interface, generate an API key, and link their AI agent within minutes.

Once connected, the agent can interact with services that support AgentKit and perform tasks on behalf of the user.

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The system is designed to allow individuals to delegate digital tasks to AI agents while preserving controls tied to verified identity.

According to the framework description, this structure is intended to ensure that AI activity remains attributable to a real human user rather than anonymous or automated systems.

Demo shows real-world use case

The technology was recently demonstrated through a limited-edition release of 500 “Human in the Loop” hats available exclusively to verified World ID holders.

During the demonstration, AI agents discovered the drop, verified eligibility, navigated the storefront, and completed purchases on behalf of users while maintaining one-item-per-person limits tied to verified identities.

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All 500 hats were claimed by verified individuals across multiple countries, including the United States, Germany, Japan, and the United Kingdom.

The demonstration was used to show how AI agents can execute real-world transactions while preserving identity-based constraints designed to limit abuse.

The example highlighted how businesses could allow AI agents to complete tasks on behalf of users while still preventing exploitation by bot networks.

Building a trust layer for the agent economy

As more services integrate AgentKit, World aims to create what it describes as a trust layer for an emerging agent economy.

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The goal is to enable AI agents to transact and interact online while remaining accountable to the humans they represent.

The system is intended to support a growing range of use cases where AI agents operate autonomously but within a framework of verified identity and user authorization.

This includes both commercial applications and broader digital service interactions.

The World project was originally conceived by Sam Altman, Max Novendstern, and Alex Blania, and aims to provide proof of human, finance and connection for every human in the age of AI.

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The company says AgentKit is part of its broader effort to support identity verification in an environment where AI agents are becoming increasingly capable of acting independently across online platforms.

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Why Etsy (ETSY) Stock Is Surging to Its Highest Level in a Year

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ETSY Stock Card

Key Highlights

  • Shares reached a 52-week peak of $76.56, gaining 2.32% in Tuesday’s session with a $7.28 billion market valuation
  • Year-over-year gains stand at 40.32%, with a 31.8% increase recorded over the last six months
  • Truist Securities maintains its Buy recommendation with an $85 target, highlighting robust marketplace trends continuing into mid-June
  • First-quarter fiscal 2026 revenue exceeded expectations by approximately 3%, while adjusted EBITDA surpassed forecasts by roughly 5%
  • The company upgraded its fiscal 2026 GMS growth forecast to low single-digit territory; divesting Depop is anticipated to enhance strategic concentration on the primary platform

Shares of Etsy (ETSY) climbed to a 52-week peak of $76.56 during Tuesday’s trading session on June 24, closing at $76.65 — representing a 2.32% intraday gain. The performance extends the stock’s impressive year-over-year advance of 40.32%.


ETSY Stock Card
Etsy, Inc., ETSY

The company’s market capitalization currently stands at $7.28 billion, with InvestingPro data indicating the shares remain undervalued at current price levels.

The rally coincides with an increasing chorus of optimistic analyst commentary. On June 23, Truist Securities reaffirmed its Buy stance alongside an $85 price objective, highlighting better-than-anticipated sales momentum extending through mid-June.

According to Truist’s examination of payment card transaction data covering the period through June 16, sales performance for the quarter-to-date period is outpacing initial projections. The primary marketplace — when Depop is excluded from calculations — is demonstrating recovery signals in both active buyer counts and gross merchandise sales volumes.

Truist projects that core Etsy marketplace GMS will expand in the mid-single-digit percentage territory on a year-over-year basis during Q2 2026. This would represent the second-strongest growth rate recorded since the pandemic era.

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The investment firm attributes the acceleration to enhancements in search functionality, artificial intelligence-driven product discovery features, improved marketing return on investment, and increased mobile application engagement.

First Quarter Performance Exceeds Expectations

Etsy’s fiscal Q1 2026 financial results surpassed both internal company forecasts and Wall Street consensus estimates. Top-line revenue came in approximately 3% above expectations, while adjusted EBITDA exceeded projections by around 5%.

In response to these results, Guggenheim increased its price objective to $85 while maintaining its Buy recommendation. JPMorgan similarly raised its target to $75, characterizing the quarter as the first significant expansion in Etsy Marketplace GMS since the third quarter of 2023.

Argus took an even more decisive stance, elevating its rating from Hold to Buy. The research firm highlighted progress in active buyer metrics and GMS per active buyer statistics, which it linked to the company’s investments in personalization technologies and machine learning capabilities.

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Following the first-quarter performance, Etsy management elevated its full-year fiscal 2026 GMS growth guidance to low single-digit percentage growth.

Strategic Divestiture of Depop Expected to Enhance Focus

The upcoming divestiture of Depop represents another significant development in Etsy’s strategic narrative. Company leadership intends to leverage this transaction to concentrate resources and attention on the core marketplace business.

The transaction is also projected to generate liquidity that could fund expanded share repurchase initiatives. According to InvestingPro metrics, management has already demonstrated a commitment to aggressive stock buyback programs.

Etsy’s PEG ratio currently registers at 0.46, indicating shares are trading at an attractive price-to-earnings valuation when normalized for projected growth rates. The company maintains gross profit margins of 71.6%.

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During the 2026 Annual Meeting, shareholders approved the appointment of three Class II board members — M. Michele Burns, Josh Silverman, and Fred Wilson — who will serve three-year terms concluding at the 2029 annual gathering.

Truist continues to hold an optimistic perspective on Etsy’s trajectory as the quarter approaches its conclusion, with shares now trading at their strongest level over the past twelve months.

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Nokia (NOK) Stock Climbs 1.88% Following Dual Partnership Announcements with Databricks and AWS

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NOK Stock Card

Key Highlights

  • Nokia and Databricks successfully validated a cloud-neutral data platform designed for autonomous telecommunications networks through a proof of concept.
  • The solution enables telecom carriers to implement real-time data analytics one time and execute them across multiple cloud environments without code modification.
  • Simultaneously, Nokia revealed deeper integration with AWS, bringing its Autonomous Networks Fabric to Amazon’s cloud services.
  • The company currently trades beneath InvestingPro’s Fair Value calculation and posted $23.1 billion in trailing twelve-month revenue with gross margins reaching 45%.
  • Shares of NOK climbed 1.88% following the dual announcements.

Shares of Nokia (NOK) advanced 1.88% to reach $12.225 during Tuesday’s trading session after the telecommunications equipment manufacturer unveiled two significant strategic partnerships within hours of each other — collaborations with both Databricks and Amazon Web Services (AMZN).


NOK Stock Card
Nokia Oyj, NOK

The initial announcement centered on Databricks. Nokia partnered with the data and analytics specialist to successfully demonstrate a consolidated data infrastructure designed to power AI-enabled autonomous telecommunications operations.

The objective addresses a specific industry challenge: telecommunications providers typically maintain hundreds of disconnected operational and business support systems, each operating with isolated data architectures. The proof of concept validated that these disparate systems can be integrated without forcing carriers into exclusive relationships with single cloud providers.

Technical teams from both organizations conducted a real-time performance management test simulating tier-1 operator network conditions. They constructed data pipelines a single time and executed them across various platforms — eliminating the need for code rewrites.

Identical workflows functioned on both the Databricks infrastructure and an open-source technology stack incorporating Apache Flink, Kafka, and Iceberg, supporting real-time data streaming, batch operations, and query-based data products.

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Nokia’s development team created transformation logic utilizing cloud-neutral Python code. A specialized compiler then automatically converted this logic into platform-specific formats — Delta Live Tables for Databricks environments, or Flink SQL for open-source implementations.

The technical validation also showcased AI-driven data product generation capabilities, where an intelligent system can produce new data products through natural language instructions, verify requirements, and autonomously deploy data pipelines.

“Collaborating with Databricks marks a significant milestone in our journey to establish the data infrastructure necessary for next-generation autonomous telecommunications networks,” stated Oguz Sunay, CTO of AI and Autonomous Networks at Nokia.

Nevash Pillay, Global Head of Telecommunications Industry at Databricks, noted that the unified infrastructure helps streamline operations and enable AI capabilities across network functions.

Nokia Strengthens AWS Partnership for Autonomous Networks

Later the same day, Nokia and AWS disclosed an expansion of their current partnership. The companies announced that Nokia’s Autonomous Networks Fabric will operate on AWS infrastructure, providing telecommunications carriers with AI capabilities and cloud resources required for achieving what the industry defines as Level 4 network autonomy.

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The expanded AWS agreement builds upon Nokia’s existing portfolio of digital operations applications already deployed on the platform, including orchestration, network assurance, and unified inventory management. General availability is anticipated before year-end.

Nokia generated $23.1 billion in trailing twelve-month revenue with gross profit margins of 45%. Top-line revenue expanded 4.3%, while analysts project net income growth for the current fiscal period.

Financial Performance and Valuation Metrics

InvestingPro currently includes NOK among its Most Undervalued stocks selection, with shares trading at levels below the platform’s Fair Value calculation. The telecommunications company maintains a FAIR financial health score.

Beyond the data platform developments, Nokia has announced multiple strategic initiatives. The company revealed plans to expand its advanced testing and packaging facilities in Allentown, Pennsylvania, which will approximately double its local employee count. Nokia Defense recently formed a partnership with KNDS to deliver 5G connectivity solutions for armored military platforms, and introduced a modular 5G system with Lockheed Martin targeting U.S. and allied military applications.

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Nokia’s Autonomous Networks Fabric running on AWS infrastructure is scheduled for commercial availability to telecommunications operators in the latter part of this year.

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Bitcoin (BTC) price could fall to $55,000 to find a bottom in August-October, 10x Research says

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Bitcoin (BTC) price could fall to $55,000 to find a bottom in August-October, 10x Research says

Bitcoin likely has further downside ahead before the current bear market runs its course, according to 10x Research founder Markus Thielen.

Thielen’s call centers on the recent strength of the U.S. dollar, which historically acts as a headwind for bitcoin. The outlook has been reinforced by the Federal Reserve’s hawkish turn under new Chair Kevin Warsh. Markets are increasingly debating whether the Fed’s next move could be a rate hike rather than a cut, a backdrop that has supported the dollar and weighed on assets.

Still, Thielen doesn’t expect the downturn to last indefinitely.

Three separate indicators — global liquidity trends, the macro calendar and bitcoin’s seasonal patterns — all point to a potential market low between late August and October.

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One model tracking the rate of change in global liquidity, which Thielen said correctly identified a buying opportunity in March and an exit signal in April, points to late August as the next key inflection date. Seasonal patterns also suggest September has historically been a weak month for bitcoin, often followed by stronger performance in October.

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Meta Bets on Prediction Markets as It Hunts for Next-Growth Engine (Report)

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Meta is reportedly developing a prediction markets app that it’s calling Arena, which would allow users to place bets on real-world outcomes with points rather than actual money.

The app would be separate from Facebook, Instagram, WhatsApp and Messenger, the New York Times says, and Meta plans to grow it by channeling its existing social audience to the new product.

Arena App Details

In a June 23 exclusive, the NYT, citing sources with knowledge of the project, said that while Arena was experimental, it is a top priority for Mark Zuckerberg. If it comes to fruition, it would not require users to wager real money, at least initially, with a video game-style points system being the likely starting model. However, the sources did not rule out real-money betting for a later stage.

The app is one of several standalones that Meta is developing, with another called Meta Photos that uses AI to generate new types of media also in the pipeline. This push toward standalone apps reflects a bigger problem for the multinational tech company, as Facebook and Instagram have shifted heavily toward video, leaving fewer spaces inside those platforms to test new product ideas, thus forcing Meta to look outward.

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It isn’t the first time Zuckerberg is dabbling with prediction markets. In 2020, his company released Forecast, a crowdsourced prediction market app built around the early days of the COVID-19 pandemic that used almost the same points-based structure. However, it shut down in 2022.

Meta has also been chasing emerging social trends with varying results in the last few years, including copying features from Snapchat and TikTok with mixed outcomes, as well as producing apps around podcasts, travel, and matchmaking that largely went nowhere.

The timing feels different now, though, with prediction markets growing at a pace that’s hard to ignore, with Kalshi and Polymarket combining for $51 billion in trades in 2025. That figure is even higher this year, having already hit $130 billion.

Meanwhile, Kalshi completed a $1 billion funding round that valued it at $22 billion, while Polymarket was in talks in April for a $400 million raise at a $15 billion valuation, with Bernstein projecting that by 2030, the total prediction market volumes could hit $1 trillion annually.

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A Crowded Field

Meta is not the only company eyeing a slice of the prediction market space, with several crypto companies already getting a head start. In March, Binance added a prediction market functionality to its wallet, while Hyperliquid launched macro prediction markets to its own offerings the following month. Furthermore, Coinbase and Crypto.com also have products in the category, and Trump Media has also announced plans for the same.

However, the sector has also attracted legal heat, with federal prosecutors charging a US Special Forces soldier with using classified information to place bets on Polymarket about a secret plan to capture Venezuela’s Nicolas Maduro, which netted him $400,000.

There’s also been added scrutiny around data quality and trading behavior on some platforms, with blockchain investigator ZachXBT warning in June that Rain Protocol, a prediction market project valued at close to $9 billion, was showing signs of on-chain price manipulation.

The post Meta Bets on Prediction Markets as It Hunts for Next-Growth Engine (Report) appeared first on CryptoPotato.

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