💥President Donald Trump has intensified his pressure on the Federal Reserve by once again demanding the resignation of Jerome Powell. In recent statements, the president warned that if a voluntary resignation does not occur, he will proceed with his dismissal before his term expires in May 2026. Additionally, he noted that the Department of Justice is conducting an investigation into Powell's management.
In contrast, Trump expressed his support for Kevin Warsh to lead the entity. According to the president, Warsh's appointment, who has broad support in prediction markets, would facilitate a necessary reduction in interest rates.
🚨 U.S. Seizes 127,271 BTC and Consolidates Strategic Reserve.
The U.S. Department of Justice (DOJ) announced the largest seizure of Bitcoin in its history: 127,271 BTC linked to an international scam network led by Chen Zhi. This operation was formalized through a civil lawsuit in the Eastern District of New York, with support from the Department of the Treasury (OFAC) and British authorities. The executive order signed by President Donald Trump in March 2025 establishes the creation of a Strategic Reserve of Bitcoin, marking a shift in the policy of managing seized assets.
With this action, the U.S. accumulates more than 325,000 BTC, positioning itself as the largest state holder of Bitcoin.
#Tether returns to its roots: $USDT returns to the Bitcoin network
Tether is going to re-issue its stablecoin directly on the Bitcoin network. The plan is to use the RGB protocol (in its v0.11.1 version) for this native deployment, with the UTEXO signature leading the commercial launch
Newton, the decentralized infrastructure platform, was included in BeInCrypto’s prestigious Institutional 100 list, taking home the award for Best Onchain Infrastructure in Finance in this year’s edition.
This recognition isn’t a small matter: these awards, delivered at a gala at the Louvre Palace in Paris, closely evaluate the real-world impact, on-chain data, and the technical usefulness of the projects that connect traditional finance with Web3. With Newton crowned in this category, it solidifies its role as one of the key pieces in the ecosystem to support decentralized financial infrastructure and large-scale corporate adoption.
Michael Saylor is no longer so convinced by the famous four-year cycles marked by halving. His thesis is different now: Bitcoin’s future no longer depends on coin issuance, but on where the institutional money flows in.
For him, what will truly move the price are global capital flows. He talks about the steady inflows into ETFs, governments and companies that put it into their treasuries, bank credit, and derivatives. Basically, the game has changed.
That said, he leaves a couple of warnings on the table. He says the base protocol must become untouchable and warns about the danger of “paper Bitcoin” (assets that track the price but are not backed), centralization in giant custodians, and the risk that regulation ends up choking the essence of the network.
When I think about letting AI manage my money, I always ask myself: do I really have control? I won’t deny it—this idea makes me uneasy. Imagining that a bot or an AI agent could move my funds without me supervising every step makes me distrustful. No matter that it may be efficient, or that all the tests say it works perfectly; that doubt remains: if something goes wrong, who’s responsible? In DeFi things get even more serious. When you give your private key to an automated agent, you’re giving it complete freedom—no limits and no brakes. It’s like handing the keys to your house to a stranger and hoping they don’t mess with anything weird. It sounds extreme, but that’s how the game works.
Ethereum prepares for its third major evolution: "Lean Ethereum" is here
Vitalik Buterin has just unveiled the roadmap for the next three or four years. The plan is called "Lean Ethereum" and aims to make the network much lighter, faster, and above all, immune to future threats.
The SEC and the CFTC have just signed a historic agreement to coordinate regulation of cryptocurrencies in the United States, moving past years of legal void. It was announced by Paul S. Atkins, the SEC Chairman, explaining that the goal is clear: to make it easier for traditional markets to begin operating directly on-chain.
The plan moves under the name "Project Crypto", an initiative that seeks to modernize the rules of the game in order to fulfill the promise of turning the country into the global crypto capital. According to Atkins, putting order in place with clear regulations is not a favor to the industry, but the necessary step for innovation to move forward for real.
Liquidity in Web3 is moving at full speed, that’s clear. But trust… that’s still a handbrake for big companies. No one with a serious balance sheet wants to step into an environment where fraud, sanctions, or a hack can pop up around any corner. And note: many try to fix it with manual patches, but that almost always ends up breaking decentralization. Newton Protocol had something else in mind: organizing trust in layers that work together, without requiring one to depend on the other for everything.
On one side, they have regulatory compliance, which is nothing more than a real-time filter against OFAC lists. If an address is flagged, it doesn’t even get to touch a pool. That’s tied to identity, but without the drama of exposing data: they use zero-knowledge proofs to verify that you are who you say you are without handing over your private information to anyone looking.
On the technical side, security acts like a constant guard dog, continuously reviewing smart contracts for vulnerabilities or odd movements. And then there’s risk, which looks at more financial variables: liquidity, market volatility—things that, if not controlled, can sink everything in minutes.
What’s interesting is that these layers aren’t isolated, and they aren’t managed through external processes. Newton puts them inside the same execution block, automating what used to be paperwork or manual review. It’s the kind of infrastructure that barely gets noticed, but that DeFi needs to grow without having to be afraid at every step.
A policy is only as good as the data that backs it
A risk policy is only as good as the data that feeds it. If the price you’re looking at is out of date or comes from a questionable source, the decision you make is worth little. Newton knows this. That’s why on June 23, alongside the Mainnet Beta launch, they connected RedStone’s price feeds directly to the policy engine. What does that mean in practice? Let’s say there’s a vault with a collateral requirement. Previously, that rule was fixed. Static. Now, when someone tries to withdraw or borrow, Newton checks the asset price in real time, cross-references it with the defined policy, and makes a decision. Instantly. Each decision generates a signed attestation that records why it was approved or rejected.
In Web3, something curious happens. Blockchains are designed to verify signatures, not to assess intentions. If a valid private key signs an instruction, the contract executes it. Period. There’s no moment of “this is weird” or “we’d better check.” It simply processes the order. And that’s where, in that blind obedience, losses are generated.
In traditional finance, transactions go through filters before being authorized. Someone or something looks at the operation and decides. In crypto, execution and authorization have always been the same step. Until now.
Newton Protocol’s Mainnet Beta changes that. It introduces a layer of prior authorization before funds are settled. It’s not another control panel that tells you after it’s already too late. It’s a filter that acts beforehand. Built by Magic Labs—the same team that built the Polymarket wallet infrastructure—and backed by PayPal Ventures and EigenLayer, the protocol contrasts each operation in real time against risk and compliance policies. To do that, it uses data from Chainalysis and RedStone. The result isn’t an alert; it’s an onchain certificate: approved or rejected.
The token $NEWT processes these validations. And with that, the sector’s operating approach changes completely. We move from permissionless finance to programmable permissions on-chain. From blind trust to intelligent verification.
The question is no longer whether you can execute fast. It’s whether you have the intelligence to stop something before it blows up.
Once again, the same thing. Ronin, Nomad, Wormhole. Each time it’s a different bridge, a different chain, but the outcome is always the same: someone finds the crack and, within minutes, hundreds of millions vanish. And the industry reacts like a cliché: everyone looks at the code, searches for the bug, the badly made signature, the line that someone overlooked. Sure, sometimes it’s that. But I think the problem isn’t there. The problem is that the bridges, when they work, are too efficient. Too obedient. An attacker compromises a validator or falsifies a proof, and the network doesn’t stop to think. It processes, verifies the signature, checks that the structure matches, and executes. It doesn’t ask whether it makes sense for 90% of the liquidity to end up in an anonymous wallet in three seconds. There’s no moment of “this is strange.” The bridge just did its job. The chains did too. They followed the rules. And that’s the big blind spot in all of this.
Newton Protocol (NEWT) proposes something simple and at the same time disruptive: remove the centralized cloud from the center of finance and let distributed, private AI agents do the work. Instead of trusting a single provider, these agents run on decentralized nodes, exchange encrypted information, and make decisions without exposing sensitive data. That means financial operations, payments, loans, arbitrage—with less risk of data leaks and less dependence on centralized platforms.
The NEWT token is the system’s backbone: it ties together consensus between nodes, funds rewards, and gives a voice in governance. Anyone who participates with NEWT helps validate actions, proposes improvements, and votes on changes. The architecture combines cryptographic proofs for privacy with market mechanisms to keep the network efficient and resilient.
It’s not magic: there are still technical and regulatory challenges, but the approach points to a future where intelligent automation doesn’t sacrifice privacy or concentrate power. Newton offers a more plural and private alternative for AI to operate with money. If it can scale and navigate the rules, it could redefine how financial services are run in the coming decade.
How the Newton Protocol returns digital control to users
The way we store and process data today has a fundamental problem. We depend almost entirely on a few technology giants that control cloud computing. This centralization not only brings ever higher costs for businesses and developers, but also raises serious challenges regarding privacy and real control over information. When the data of half the world is stored on the same servers, users lose the ability to decide about their own digital infrastructure.
Newton Protocol: A decentralized alternative to the monopoly
Newton Protocol (NEWT) was created to solve the privacy issues, high costs, and lack of control that today’s cloud has. Its idea is simple: decentralize access to global computing so it becomes an open resource with no intermediaries.
At the heart of this project is a transparent on-chain registry that connects supply and demand. Thanks to this, any individual or company can offer the hardware they aren’t using for tasks ranging from storing data to training artificial intelligence, competing in a free market.
Within the network, the NEWT token makes everything work through three main functions:
✓ Security: Users stake (lock) their tokens under a dPoS model to support the network and ensure that nodes work honestly.
✓ Payments: This is the native currency used to pay network fees and reward those who provide the processing power of their computers.
✓ Governance: Enables the community to vote on upcoming updates and decide the direction of the protocol.
By removing traditional providers from the equation, Newton Protocol designs a technical and economic model meant to return control of digital infrastructure to the people who actually use it.
Specialization or Gigantism? The Real Debate in AI
Honestly, the AI narrative feels a bit stagnant. Folks keep thinking the future is all about building bigger and bigger language models, those monstrous generalists that chew through million-dollar budgets. But if you look at how the real development industry is shifting, the value is moving towards Specialized Models (SLMs). Smaller tools, but laser-focused on ultra-specific niches like medicine, trading, or coding. That's where the proposal of @OpenLedger and its ecosystem comes in, aiming to bring some order and economy to that transition.
The discussion around AI often focuses on massive models, but the reality of the sector is shifting towards specialization. The @OpenLedger ecosystem offers an interesting solution: creating a blockchain infrastructure specifically designed to track and monetize specialized models (SLMs) through their collaborative data networks.
Backed by firms like Polychain, the project aims for data creators and developers to register on-chain the origin of their information using Proof of Attribution. In this environment, the token $OPEN serves to settle transactions and execute autonomous agents, aiming to go beyond mere market speculation.
Of course, the path isn't free from technical challenges. Integrating data verification and cryptography into AI flows creates friction that developers and users must learn to manage. With 21% of the tokens in circulation, the success of the protocol will depend on how many real creators decide to migrate their models to this infrastructure. Do you think the specialization of AI on the blockchain is the right path, or will the technical friction be too high a barrier? I'm listening below.
Decentralization isn't a manifesto, it's insurance for your AI
Decentralization is often pitched as an ideological issue, something for activists. But let's be real: it has nothing to do with politics and everything to do with not getting left hanging when a central server decides you’re no longer important. Have you ever stopped to think about what really happens to your processes if the AI provider goes down? Or if they change their privacy policies at three in the morning and your training data technically becomes theirs? You're tied up hands and feet. It's that simple. If your business relies on a single API, you're basically living in a rented space. And, you know, the landlord always finds a way to raise the rent or close the door right when you need it the most.
There's a huge myth: the more data you feed a model, the better it learns. False. What happens is you end up with a bloated, slow model that's full of biases. The reality in the sector today is that 70% of the information on the web is noise or synthetic junk.
The folks at OpenLedger are doing something a bit annoying but necessary: they're pricing and structuring quality. Instead of letting your agent feast on anything, the protocol filters and verifies the source of the data before it even touches it. It's like switching your diet from fast food to organic. What's the result? A faster system that's less prone to hallucinations. I’m not selling it as some futuristic wonder; I’m telling you it's an operational necessity: if your model doesn't know where its data is coming from, it's lying to your face every time it gives you an answer. It's time to stop asking AI to "guess" and start forcing it to show us its sources.