Crypto World
Prosecutors reject dismissal bid in Tornado Cash co-founder’s case
In a high-stakes move that sharpens the focus on developer responsibility in crypto tooling, prosecutors in the U.S. Attorney’s Office for the Southern District of New York have asked a federal court to reject Tornado Cash co-founder Roman Storm’s bid for acquittal. The filing centers on the contention that Storm’s alleged actions go beyond a civil copyright dispute and implicate conspiracies to commit money laundering and sanctions violations.
Jay Clayton, the SDNY attorney who previously led the U.S. Securities and Exchange Commission, argued in court papers that Storm’s use of Tornado Cash was “window dressing at best and outright misdirection at worst.” The filing criticized Storm’s attempt to frame his defense around a civil copyright case, insisting there is no evidentiary basis for equating his conduct with civil liability and that such a line of defense is irrelevant to the criminal charges at hand. The motion responded to Storm’s plan to cite a 2026 Supreme Court case, Cox Communications, Inc. v. Sony Music Entertainment, as part of an argument about Storm’s intent to participate in the criminal activity prosecutors allege.
According to the SDNY, Storm’s alleged conduct bears little resemblance to the facts in the Cox case, which dealt with copyright infringement in a civil context. The government contends there is no evidence that Storm or Tornado Cash’s developers implemented any effective anti-money-laundering controls, a point Clayton stressed in the filing.
“The defendant’s conduct simply is not comparable to the conduct at issue in Cox,” Clayton said. “In any event, a civil copyright case has no relevance here in the first place.”
Last August, a jury convicted Storm of conspiracy to operate an unlicensed money transmitting business, but the panel deadlocked on two other charges — conspiracy to commit money laundering and conspiracy to violate sanctions — leaving the possibility of a retrial on those counts. The case has become a flashpoint in the broader debate over whether developers of open-source crypto tools can be held legally liable for how their code is used in illicit finance schemes.
Prosecutors and Storm’s defense team were slated to meet on the following Thursday to discuss the path ahead, including the possibility of a retrial date. In the meantime, the government has signaled continued pursuit of the remaining charges, while the defense has pressed for a dismissal or a narrow resolution based on civil-law considerations.
In a contemporaneous political thread surrounding the case, the conversation extended beyond the courtroom doors. Last week, reports circulated that U.S. lawmakers were advancing proposals intended to shield blockchain developers from broad prosecution, signaling a regulatory ambition to distinguish between personal risk and platform-level liability.
Key takeaways
- The SDNY explicitly rejects Roman Storm’s attempt to leverage Cox Communications as a defense, asserting the criminal nature of the alleged activity is not comparable to civil copyright disputes.
- Storm was convicted on conspiracy to operate an unlicensed money transmitting business, while two related charges ended in a mistrial, keeping the door open for a retrial on those counts.
- The case amplifies the ongoing debate about whether developers behind open-source crypto projects can be held criminally liable for how others use their code.
- News of a potential October retrial underscores the government’s intent to pursue the remaining charges, even as questions about evidentiary standards and defense strategy persist.
- In parallel, U.S. policymakers continue to explore protections for blockchain developers, highlighting tensions between enforcement goals and innovation incentives.
- The evolving DOJ posture, including commentary associated with acting Attorney General Todd Blanche, could influence how aggressively prosecutors pursue similar cases and how they frame regulatory boundaries around crypto platforms.
Courts, cases and a shifting DOJ posture
Clayton’s filing frames the Storm case within a larger legal question: when, if ever, does enabling code cross the line into criminal participation? The defense’s tactic of invoking a civil copyright precedent appears designed to downplay Storm’s alleged role in facilitating illicit activity, but prosecutors argue that the underlying conduct extends far beyond such civil concerns. The government’s stance rests on an assertion that there was no adequate safeguard against abuse by Tornado Cash’s tools, a factor central to charges of money laundering conspiracies and sanctions violations.
The legal strategy in play here matters beyond one defendant. It tests the boundaries of developer liability for open-source projects and raises critical questions about how prosecutors evaluate intent and control in decentralized tooling. If civil analogies or civil-law defenses fail to translate to criminal contexts, the door may remain open for tougher scrutiny of developers whose code can be used for illicit ends—even when they claim no direct involvement in wrongdoing.
Meanwhile, the timing of the potential retrial adds a layer of strategic calculus for both sides. The SDNY has requested October as a possible window for re-presenting the evidence on the two previously deadlocked counts, but no date has been officially set as of now. The outcome could influence how similar cases are positioned in the future and how aggressively prosecutors pursue open-source projects that enable or facilitate illicit activity, including cross-border sanctions evasion.
DOJ policy signals and the broader regulatory backdrop
The Storm case sits at the intersection of criminal enforcement and policy signaling within a changing regulatory landscape. Last week, headlines centered on how a reshuffled Justice Department might recalibrate its approach to crypto. Acting Attorney General Todd Blanche, who has previously commented on the need to end what he termed “regulation by prosecution,” laid out a vision that could affect enforcement priorities in the crypto space. While Blanche did not name Storm specifically, he argued that the department should avoid pursuing actions against platforms that criminals leverage to conduct illegal activity and called for alignment between enforcement actions and overarching policy goals. The implications for Tornado Cash and similar tooling are indirect but notable, as prosecutors weigh how to apply anti-money-laundering and sanctions laws to decentralized technologies.
Storm himself has publicly framed the stakes in stark terms. In March, after prosecutors indicated a path toward retrying the two deadlocked counts, he argued that the charges could carry substantial maximum penalties — up to 40 years in federal prison — for actions tied to writing open-source code for a protocol he says he didn’t control and transactions he didn’t touch. The rhetoric underscores the tension between a developer-centric view of code as a public good and a prosecutorial view that code can be weaponized for financial crime when used in unintended or illicit ways.
Beyond the courtroom, the case feeds into a broader policy dialogue about how to balance innovation with enforcement. Lawmakers have floated measures designed to protect blockchain developers from punitive prosecution while maintaining guardrails against illicit finance. The tension between protecting innovation and deterring abuse remains a central theme in crypto regulation discussions, a dynamic that could shape how the industry negotiates risk, compliance, and governance in the years ahead.
As the legal process unfolds, observers will be watching the interaction between civil-law arguments, criminal liability standards, and the practical realities of open-source development. The Storm case is not just about a single set of charges; it is a bellwether for how courts interpret developer intent, how anti-money-laundering controls are evaluated in decentralized systems, and how policymakers balance the dual aims of fostering innovation and safeguarding financial integrity.
Readers should keep an eye on timing updates from the SDNY as it relates to potential retrial dates and any new motions from either side. The outcome could influence not only this case but the broader approach to crypto tooling and developer accountability as enforcement bodies navigate a rapidly evolving technical landscape.
For policymakers and market participants alike, the central question remains: where should the line be drawn between legitimate open-source development and actions that trigger criminal liability in an environment built on privacy, pseudonymity, and permissionless participation?
As the courtroom drama continues, the crypto community will be watching closely to assess how the balance between innovation and enforcement is negotiated in this era of rapid technological change.
The latest AI news China Iran artificial intelligence military US bases geopolitics story escalated on April 5 when an ABC News exclusive revealed that the US Defense Intelligence Agency has confirmed Iran’s Islamic Revolutionary Guard Corps is actively using AI-enhanced satellite imagery from a Chinese firm called MizarVision to identify, prioritize, and target US military installations across the Middle East.
Summary
- MizarVision, a partially state-owned Chinese geospatial AI company, has been publishing AI-annotated high-resolution satellite imagery of US military bases on open-source platforms, with automated detection of aircraft, Patriot missile batteries, fuel depots, radar systems, and troop concentrations — capabilities once limited to classified national intelligence agencies
- DIA officials assess that the IRGC is actively using these datasets to refine missile and drone strike planning, compressing what previously required days of intelligence analysis to minutes; one intelligence official characterized the activity as a Chinese company “we believe maliciously, providing intelligence on an open-source platform”
- MizarVision posted at least six detailed analyses of Saudi Arabia’s Prince Sultan Air Base between February 24 and 27, identifying Patriot positions and aircraft locations; the base was struck less than 48 hours later, and one US service member later died from injuries sustained in the attack
The latest AI news China Iran artificial intelligence military US bases geopolitics threat took concrete form on April 5 when ABC News first reported that the US Defense Intelligence Agency had assessed Iran’s IRGC as actively exploiting satellite imagery datasets from MizarVision — a Chinese geospatial AI firm with approximately 5.5% Chinese government ownership — to improve the precision and tempo of missile and drone strikes against US and allied forces.
MizarVision’s platform integrates machine learning trained on military signatures, automatically classifying aircraft types, radar arrays, hardened shelters, fuel depots, command centers, and naval vessels based on shape, thermal patterns, and contextual indicators. The AI adds geospatial metadata tags that can be directly integrated into targeting software and command-and-control systems. Its stated mission is to “democratize and universalize geospatial intelligence” — a goal that US defense officials now say Iran has operationalized for warfare.
Traditional targeting intelligence collection, processing, analysis, and dissemination cycles take days. MizarVision’s AI reduces that to minutes by automatically generating tagged, geolocated target packages from commercially available satellite imagery. For Iran’s IRGC — which lacks the classified satellite constellation and imagery analysis units of a major power — this represents asymmetric capability: outsourcing targeting intelligence from a commercially accessible platform while maintaining operational plausibility.
DIA officials told ABC News that Iran is using these datasets not just to identify targets but to conduct pattern-of-life analysis, tracking deployment routines and periods of maximum vulnerability. That allows the IRGC to shift from broad saturation attacks toward selective strikes against air defense radars, maintenance shelters, and fuel storage facilities — the specific nodes that reduce US air combat effectiveness.
The Prince Sultan Air Base Sequence
The most alarming evidence centers on Prince Sultan Air Base in Saudi Arabia. MizarVision published detailed posts identifying Patriot missile battery positions on February 24, and aircraft parking locations on February 27. On March 1, satellite imagery showed smoke rising from damaged sections of the base following an Iranian strike. US intelligence later confirmed one service member was seriously wounded and subsequently died.
The Geopolitical Dimension
MizarVision has also published imagery of Diego Garcia, Israeli positions, Australian naval movements, and TSMC’s semiconductor plant construction, extending the concern from conflict intelligence to strategic industrial surveillance. China officially maintains a neutral position on the Iran war. The firm operates within a Chinese government framework that analysts describe as providing Beijing “plausible deniability” — the ability to assist regional partners while avoiding direct military involvement.
As crypto.news reported, Iran has already struck tech and energy infrastructure across the Gulf as part of its asymmetric response strategy. As crypto.news noted, each confirmed escalation in the conflict has produced immediate crypto market sell-offs, with the AI targeting dimension now adding a new layer of unpredictability to any de-escalation timeline.
“Future wars will be shaped as much by who can interpret and weaponize data fastest as by who fields the most advanced missiles, aircraft, or air defense systems,” one GDC analyst assessed — a conclusion the MizarVision case has now made difficult to dispute.
Spot Bitcoin ETFs recorded their strongest daily inflows since February on Monday despite ongoing geopolitical tensions.
Crypto markets retreated on Tuesday as President Donald Trump’s self-imposed deadline for Iran to reopen the Strait of Hormuz drew closer, dampening risk appetite across global markets.
Bitcoin is trading at $69,200, according to CoinGecko, recovering from an intraday dip below $68,000 but still well off Monday’s brief push above $70,000. Ethereum is changing hands at $2,112, while Solana trades at $82. XRP fell 1.6% to $1.32.
The total cryptocurrency market capitalization stands at approximately $2.45 trillion, down less than 1% in the past 24 hours.
Among the top 100 tokens by market cap, Rain (RAIN) led gainers with a 9.8% rise, followed by Zcash (ZEC), up 8% to $276. On the downside, Algorand (ALGO) dropped 7%, and Avalanche (AVAX) fell 6.2% to $8.75.
Iran Deadline Dominates Sentiment
Trump escalated his rhetoric early Tuesday, posting on Truth Social that “a whole civilization will die tonight” if Iran fails to comply with demands to reopen the critical shipping lane that handles roughly one-fifth of global oil and gas flows. Vice President J.D. Vance said the military objectives of the war in Iran have been achieved, but the administration’s ceasefire demands remain unmet.
U.S. equities ended the day mostly unchanged, while West Texas Intermediate crude held above $110 per barrel as fears of continued supply disruption weighed on energy markets.
Traders widely expect the Federal Reserve to hold rates steady at its April meeting, reflecting the view that wartime inflation will keep the central bank sidelined.
ETF Inflows Defy Risk-Off Mood
Despite the geopolitical turmoil, spot Bitcoin ETFs posted $471 million in net inflows on Monday, the largest single-day intake since Feb. 25, according to SoSoValue.
The figure sits well below January’s peak flow regime, when multiple trading days topped $700 million, but marks a notable acceleration after BTC and ETH ETFs reversed a multi-week outflow streak in late February. March saw $1.32 billion in total net inflows, coinciding with Bitcoin’s first green monthly candle in six months.
Liquidations and Derivatives
Bitcoin alone accounted for roughly $92 million in liquidations over the past 24 hours, according to CoinGlass. Liquidations were almost equally shared between long and short positions amid choppy trading.
The Crypto Fear & Greed Index sits at 11, deep in extreme-fear territory and near the lowest sustained readings since the Terra collapse in mid-2022.
Looking Ahead
The immediate catalyst for market direction is the 8 PM ET Iran deadline. Trump has repeatedly extended similar ultimatums in recent weeks, blunting their market impact, but the scale of rhetoric suggests tonight could break the pattern in either direction.
Bitcoin has been range-bound between $62,000 and $75,000 since early February. A resolution in the Strait of Hormuz standoff would likely trigger a relief rally across risk assets.
TLDR
- The number of Cardano whale wallets holding over 10 million ADA has reached a four-month high.
- Whale activity increased by 5.2% over the past nine weeks, despite ADA’s price remaining depressed.
- ADA’s price is 11% higher than its lowest point in February, but has not shown significant upward movement.
- Cardano’s network processed over 4 billion ADA in transactions, amounting to over $1 billion in on-chain volume.
- Large holders accumulated 220 million ADA in March, bringing their total holdings to nearly 14 billion tokens.
The number of wallets holding over 10 million ADA tokens has reached a four-month high of 424. According to Santiment, this marks a 5.2% rise over the past nine weeks, even though Cardano’s price remains subdued. Despite the increased whale activity, ADA continues to trade below its previous highs.
Cardano Whale Activity Shows Strong Accumulation
Recent data from Santiment reveals that ADA’s price is 11% higher than its February 5 low this year. However, the rise in whale activity has not led to an immediate price surge. Santiment suggests that if the accumulation persists while the price remains low, it could eventually lead to a bullish divergence.
Analytics platform TapTools reported a 4 billion ADA transaction volume over the last five days, equating to over $1 billion. This shows that the increased activity among whales is paralleled by rising network usage. Despite this, the price of ADA has not yet reacted positively, remaining stuck below key resistance levels.
ADA’s Struggles Continue Amid Increased Whale Holdings
Whale interest in Cardano has been noticeable for weeks, with analysts like Ali Martinez highlighting that large holders accumulated 220 million ADA in late March. These whales now hold nearly 14 billion ADA, making up around 37% of the total supply. However, ADA’s price continues to remain stagnant, trading at $0.24, a 42% decline in the past three months.
Even with the accumulation trend, ADA’s price remains 92% lower than its all-time high of over $3. Cardano’s recent performance in terms of trading volume also lags behind competitors like Solana and XRP, which processed $2.6 billion and $1.5 billion in transactions, respectively, over the same period. This shows that while whale activity is increasing, ADA’s broader market performance remains underwhelming.
Bearish Trend Persists Despite Growing Whale Interest
Despite the uptick in whale holdings, ADA continues to trade below its 50, 100, and 200-day exponential moving averages. This keeps the broader trend bearish, regardless of the accumulation. On Twitter, user gnarleyquinn raised concerns, suggesting that Cardano’s market dominance, which has dropped from 4.5% in 2021 to around 0.3% today, may lead to a decline in the coming years.
The ongoing price struggles show that Cardano has not decoupled from the broader altcoin market. While whales continue to accumulate, ADA’s future price movements remain uncertain. It remains to be seen whether the increasing accumulation will ultimately lead to a change in price dynamics for Cardano.
According to the bureau, a large number of minors aged 17 and younger were included in complaints related to crypto or crypto ATMs, resulting in more than $5 million in losses.
The US Federal Bureau of Investigation (FBI) reported that Americans’ losses from crypto-related scams increased to more than $11 million in 2025.
In its annual internet crime complaint report released on Monday, the FBI said that cryptocurrency and AI-related scams were “among the costliest” for Americans in 2025, with 181,565 complaints totaling more than $11 billion. According to the bureau, it received more than one million complaints in 2025 reporting losses of about $21 million due to cyber-enabled crimes.
The FBI’s Internet Crime Complaint Center reported that investment scams resulted in the highest percentage of victims reporting losses in crypto as opposed to cash, debit cards, gift cards and other media of exchange. In addition, about 10% of the 13,168 complaints involving cybercrimes targeting minors aged 17 and younger were related to crypto or crypto ATMs, resulting in more than $5 million in losses.
The complaints the FBI received were despite the bureau’s efforts to “identify and notify people who are currently falling victim to cryptocurrency investment fraud” through its Operation Level Up in 2024. Globally, blockchain analytics platform Chainalysis reported in March that illicit addresses received $154 billion in 2025, driven in part by sanctions evasions.
Related: Cambodian lawmakers propose severe prison time for crypto scammers
Scammers use Tron blockchain token to con users using FBI
According to the FBI report, there were 32,424 complaints involved in impersonation of government officials, resulting in about $800 million in losses. However, the report did not mention bureau officials issuing a March notice warning Americans that a token on the Tron blockchain was impersonating the FBI with the goal of obtaining personal information.
Tron users reported receiving a token with the FBI logo claiming that their wallet was “under investigation.” The users were then prompted to enter personal information under the guise of an FBI anti-money-laundering verification to avoid their accounts being frozen.
Magazine: Are DeFi devs liable for the illegal activity of others on their platforms?
A fresh wave of online backlash is now building around Pakistan’s request to extend Trump’s Iran deadline, with users questioning whether the move was genuinely independent.
The speculation centers on the edit history of Prime Minister Shehbaz Sharif’s post on X. History shows an earlier version of the message, followed by a more detailed “draft” version that explicitly calls for a two-week extension and reopening of the Strait of Hormuz.
Some users claim this suggests coordination behind the scenes. The theory is simple: if the US agrees to extend the deadline, framing it as a response to Pakistan’s request allows Washington to avoid appearing to back down under pressure.
There is no evidence supporting this claim. Neither the White House nor Pakistani officials have indicated any coordinated messaging strategy.
Still, the timing has fueled suspicion. The post appeared just hours before Trump’s deadline, as negotiations intensified and markets reacted sharply.
In volatile geopolitical moments like this, narratives form quickly. Right now, this one is being driven by inference, not confirmation.
The post Internet Questions Pakistan’s Role in Trump’s Iran Deadline Twist appeared first on BeInCrypto.
TLDR
- Charles Schwab outlines two approaches for integrating cryptocurrencies into investment portfolios.
- The return-based approach focuses on expected returns, volatility, and asset correlations.
- Schwab recommends modest allocations to bitcoin and ether based on expected returns.
- The risk-based approach focuses on managing overall portfolio risk from crypto exposure.
- Schwab warns that even small allocations to crypto can significantly raise portfolio risk.
Charles Schwab, the leading U.S. brokerage firm managing over $12 trillion in assets, recently outlined two approaches for integrating cryptocurrencies into investment portfolios. The firm emphasized that while there is no fixed method for crypto allocations, investors should carefully consider their risk tolerance and long-term objectives. Schwab’s research highlights the potential for diversification, though it warns that even small allocations to crypto can significantly increase portfolio risk.
Return-Based Approach to Crypto Investments
In its white paper, Charles Schwab detailed a return-based approach to crypto investing, which is rooted in expected returns. This method examines the anticipated returns, volatility, and correlations with traditional assets like stocks and bonds. Schwab suggests that if investors expect a return of 15% per year from Bitcoin, a conservative portfolio might allocate around 1%, while a more aggressive one could allocate up to 8.8%.
The firm noted that ether, due to its higher volatility, would warrant smaller allocations. For example, a conservative portfolio might allocate just 0.1% to ether, while a more aggressive portfolio might allocate up to 2.5%. Schwab also stressed that if returns for either bitcoin or ether fall below 10%, it might not justify any allocation, even for more risk-tolerant investors.
Risk-Based Approach to Crypto Exposure
Charles Schwab also presented a risk-based approach to crypto allocation, where the focus shifts from returns to managing overall portfolio risk. In this approach, the crypto exposure is determined by the amount of total portfolio risk that comes from cryptocurrencies. For instance, in a conservative portfolio, a 1.2% allocation to bitcoin or 0.9% to ether could represent 10% of the total portfolio risk.
For moderate to aggressive portfolios, Schwab suggests allocating up to 4% in bitcoin and nearly 3% in ether to achieve similar risk levels. Schwab explained that this risk-based method is particularly useful for investors who want to understand how crypto fits into their broader asset mix. While crypto may offer diversification benefits, Schwab cautioned that increasing exposure comes with heightened portfolio concentration risk.
Charles Schwab’s Crypto Exposure Options
As Schwab moves forward with its new crypto offering, Schwab Crypto, it has also been providing exposure through various products like crypto-related stocks and exchange-traded products. Schwab has introduced a waitlist for clients interested in buying and selling bitcoin and ether directly. For now, the brokerage firm offers crypto exposure through over-the-counter trusts and futures for approved clients.
Despite initially dismissing cryptocurrencies as “purely speculative” in 2019, Schwab has evolved its stance on digital assets over time. The firm now encourages investors to carefully evaluate the role that crypto could play in their portfolios, keeping in mind the elevated risks associated with even a small allocation.
Crypto World
Next Crypto to Explode as Bitcoin Stands Firm Above $68K and Solana ETFs Hold $1.5 Billion, but Pepeto Is the Entry That Defines This Cycle
The crypto market is heating up, and the prices sitting in front of you right now will not be here when the rally kicks in. Bitcoin held $68,317 on April 7 after Iran rejected the ceasefire, per CoinDesk, and Solana ETFs kept $1.5 billion in total inflows despite SOL crashing 57% from its peak. Every indicator that marks the start of a rally is lighting up.
But the next crypto to explode is never the coin everybody already holds at a trillion-dollar valuation. It is the presale where listing day creates the gain and exchange revenue locks it in. Here is which one ticks every requirement.
Bitcoin sat at $68,317 on April 7 after absorbing Iran.s ceasefire rejection, per CoinDesk, while BTC ETFs pulled $471 million on April 6. The Fear and Greed Index sits at 9, and altcoins bounced broadly.
The market is shifting bullish, and the traders who connect those dots are searching for the breakout alt at presale cost before the listing turns cheap entries into the bags everybody else spends the cycle regretting.
The Next Crypto to Explode Sits Below the Rally While Large Caps Grind
Pepeto: Revenue Sharing That Pays From Every Trade, at a Price the Bull Market Will Erase
Bull runs pay the people who bought during panic. The wallets that loaded Pepeto during the crash are now watching the market prove them right. Revenue sharing gives every presale holder a lasting share of trading fees based on position size, confirmed by Business Insider. BTC, SOL, and XRP generate zero income for holders. Pepeto earns on every single transaction.
SolidProof cleared the contract before the presale opened, and a former Binance executive is leading the listing plan for the exchange with its cross-chain bridge, zero-cost swaps, and token risk scoring. The $8.82 million raised came from wallets that checked every alternative and picked this one. The founder who took the original Pepe coin to $7 billion is channeling that same viral pull into tools that generate actual revenue.
At $0.0000001863, the gap between presale and listing gives a floor that no large cap can offer. 186% APY staking adds to your position while the listing gets closer, but that is just the extra.
The real payoff comes when a revenue-earning exchange token hits live bull market trading, and every bag at this price turns into supply that post-listing buyers have to purchase from you. The next crypto to explode door is closing quicker than anyone expects.
Solana: $1.5 Billion in ETF Inflows but SOL Stuck at $79
SOL trades near $79 with $1.5 billion in cumulative ETF capital proving institutional belief even as the price dropped 57% from its high, per CoinGecko. A break above $86 could push toward $100 as the broader market builds.
Strong base, but from $79 the upside is capped for anyone searching for the next crypto to explode that transforms a portfolio.
Bitcoin: Holding $68K With $80,000 as the Next Major Target
BTC held $68,317 on April 7 per CoinMarketCap and $74,500 is the final resistance before a clean run to $80,000. The $471 million in ETF capital on April 6 proves institutional appetite, and analysts keep their sights above $150,000 by December 2026.
Bitcoin is out front with clear strength, but the next crypto to explode requires numbers that go past what a $1.3 trillion coin can deliver.
The Bull Market Is Here and the Entry That Defines It Is Still Open
Step back and the whole picture becomes clear. The market tips bullish, Bitcoin refuses to break, institutions keep arriving, and Pepeto is sitting in the setup that appears once per cycle: permanent revenue sharing, SolidProof audit, a founder who generated $7 billion in demand, and exchange tools the Binance listing switches on.
Every massive crypto winner follows one pattern: a few wallets entered first, everyone else found out after, and the cheap price was gone. That sequence is playing out right now, and once the listing drops the presale cost disappears forever. Visit the Pepeto official website and make the move that puts you on the side that caught this cycle instead of the side that watched it happen. The next crypto to explode never waits for the crowd to agree, it moves while they debate, and Pepeto at $0.0000001863 is already moving.
Click To Visit Pepeto Website To Enter The Presale
FAQs
Why is the crypto market turning bullish right now?
Bitcoin held $68,317 after Iran rejected ceasefire, ETFs pulled $471 million on April 6, and Fear and Greed at 9 historically marks the bottom before major rallies.
Where can I find the next crypto to explode before listing?
Visit the Pepeto official website at $0.0000001863 with 186% APY staking and exchange tools ready for bull market volume.
Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.
The latest AI news artificial intelligence US military Iran war 2026 debate has crystallized around one figure: in the first 24 hours of Operation Epic Fury on February 28, the US military struck more than 1,000 targets in Iran using Palantir’s Maven Smart System with Anthropic’s Claude embedded inside it — a pace CENTCOM head Admiral Brad Cooper confirmed publicly, and one that human rights experts say has raised serious questions about AI-assisted targeting and civilian harm.
Summary
- CENTCOM Commander Admiral Brad Cooper confirmed in a March 11 video statement that US forces are “leveraging a variety of advanced AI tools” that allow commanders to make decisions “faster than the enemy can react,” with tasks that previously took hours or days now completed in seconds
- Palantir’s Maven Smart System with Anthropic’s Claude embedded processes satellite imagery, drone feeds, radar data, and signals intelligence into prioritized target lists with GPS coordinates, weapons recommendations, and automated legal justifications — what previously required roughly 2,000 intelligence analysts now reportedly requires approximately 20
- A US strike on a girls’ elementary school in Minab killed over 165 civilians, according to Iranian reports; the Pentagon is investigating whether the school was on an AI-assisted target list, and more than 120 House Democrats have demanded answers
The latest AI news artificial intelligence US military Iran war 2026 story is both a technological milestone and a humanitarian reckoning. According to IBTimes, more than 1,000 targets were struck in the first 24 hours of Operation Epic Fury on February 28 — more than double the air power deployed during the entire opening phase of the 2003 Iraq invasion. That pace is only possible with AI. A human-led targeting process would have required thousands of analysts working for weeks to generate and validate that many aim points.
The system at the center of it is Palantir’s Maven Smart System, running on Anthropic’s Claude large language model. Maven fuses classified feeds from satellites, surveillance drones, and archived intelligence into a unified platform. Claude synthesizes that information into prioritized target lists, complete with precise GPS coordinates, weapons recommendations, and automated legal justifications for strikes.
Admiral Brad Cooper confirmed the AI role in a publicly released video statement: “These systems help us sift through vast amounts of data in seconds so our leaders can cut through the noise and make smarter decisions faster than the enemy can react. Humans will always make final decisions on what to shoot and what not to shoot and when to shoot. But advanced AI tools can turn processes that used to take hours and sometimes even days into seconds.”
Cooper did not identify specific AI systems by name. What the statement left unaddressed was Maven’s reported accuracy rate: approximately 60%, compared with 84% for human analysts in some assessments.
The School Strike and the Accountability Gap
The most serious accountability question surrounds a US strike on the Shajareh Tayyebeh girls’ elementary school in Minab that killed over 165 civilians. The school was reportedly on a target list generated with AI assistance. Pentagon officials said outdated intelligence contributed to the strike and a full investigation is underway. More than 120 House Democrats have formally demanded answers about AI’s role. As warfare expert Craig Jones told Democracy Now!, AI targeting is “reducing a massive human workload of tens of thousands of hours into seconds and minutes” — but “automating human-made targeting decisions in ways which open up all kinds of problematic legal, ethical and political questions.”
The conflict carries direct implications for commercial tech. Iran has explicitly named Palantir, Google, Microsoft, Amazon, and other US companies as legitimate military targets because of their infrastructure’s role in the war. Iranian strikes have already damaged AWS data centers in the UAE and Bahrain. As crypto.news reported, Iran has demonstrated willingness to strike economic and technology infrastructure across the Gulf — a threat that now extends to the commercial cloud backbone powering US AI military systems.
What the Iran war has confirmed, as analysts have begun calling it “the first AI war,” is that commercial AI and warfare are no longer separate domains. As crypto.news noted, every escalation in this conflict reaches financial markets within hours. The AI targeting dimension adds a new layer of systemic risk: not just military escalation, but the weaponization of commercial technology infrastructure itself.
The seven House members may have affirmed the commission‘s authority over prediction markets, but asked questions about its inaction on insider trading.
Seven members of the US House of Representatives sent a letter to Commodity Futures Trading Commission (CFTC) Chair Michael Selig, asking for information on the agency’s inaction on insider trading on prediction markets and event contracts related to war and conflicts.
In a Monday letter, the seven US lawmakers said that the CFTC had the authority under the Commodities Exchange Act “to apply its rules and regulations for the purpose of preventing evasion of the [act’s] underlying swap provisions.” The statement signaled that the representatives affirmed Selig’s position that the commission had jurisdiction over prediction markets.
However, the House members expressed concerns about how the CFTC was policing “morally obscene” event contracts, including those on US military actions in Iran and Venezuela — in those cases, there were suspicious trades related to the timing and outcomes of US military involvement.
“Such corrupt trades deserve swift and decisive oversight,” said the letter. “Allowing these contracts to persist raises troubling concerns about the Commission’s desire and capacity to fulfill a global regulatory role.”
The legal battles over regulating prediction market platforms like Kalshi and Polymarket are being waged both at a federal and state level. Several US state gaming authorities have filed lawsuits alleging that the companies are illegally offering sports bets, while the CFTC, under Selig, claims that the event contracts on the platform amount to swaps and fall under its federal regulations.
The seven House members requested that Selig respond to their six questions by April 15.
Related: Polymarket bags 97% of onchain prediction market fees after pricing overhaul
In one of the most recent legal decisions, the US Court of Appeals for the Third Circuit affirmed a lower court ruling blocking New Jersey gaming authorities from filing enforcement actions against Kalshi. Two out of three circuit judges said that the company had a ”reasonable chance of success” in arguing that federal commodities laws preempted state authorities.
CFTC enforcement director says agency is “watching” for insider trading
The Monday letter followed CFTC enforcement director David Miller responding to concerns over insider trading, which has also resulted in legislation proposed by Democrats. According to Miller, the commission would only prosecute instances “against those who tip or trade with misappropriated information,” but not dedicate resources to “trivial” cases.
Magazine: All 21 million Bitcoin is at risk from quantum computers
TLDR
- Anthropic unveiled its new AI model, Claude Mythos, designed to enhance cybersecurity by identifying high-severity vulnerabilities in systems.
- The Mythos model has already detected thousands of flaws across major operating systems and web browsers.
- Anthropic launched Project Glasswing, a partner program offering select organizations early access to the Mythos model for defensive tasks.
- The company committed up to $100 million in usage credits and $4 million in donations to support open-source security initiatives.
- Anthropic decided not to release the Mythos model widely, citing the need for further safeguards to ensure its safe deployment.
Anthropic introduced its latest AI model, Claude Mythos Preview, on Tuesday, focusing on cybersecurity. The model aims to strengthen defenses against cyber threats by identifying vulnerabilities and developing exploits with little human oversight. This move comes weeks after a security lapse exposed Claude’s code, which drew significant attention to Anthropic’s internal security measures.
New AI Model Targets Cybersecurity Threats
Claude Mythos Preview represents Anthropic’s cutting-edge effort in cybersecurity, designed to uncover high-severity vulnerabilities. In its testing, Mythos has already identified thousands of flaws across major systems, including operating systems and web browsers. According to the company, this new model aims to equip defenders with advanced tools before cyber attackers can harness similar AI capabilities.
Project Glasswing, a partner program, was also announced alongside the Mythos model. It offers early access to the new AI system for select companies like AWS, Google, and Microsoft, among others. More than 40 organizations will be part of the initiative, with Anthropic committing up to $100 million in usage credits to support the program.
Anthropic Pushes for Secure Deployment
Despite Mythos’s promising capabilities, Anthropic has decided against a wide release. The company emphasized the need for further safeguards before deploying Mythos at scale. “Our goal is to ensure that this powerful tool can be deployed safely and responsibly,” an Anthropic representative stated.
This caution follows a mishap earlier this year when a packaging error exposed Claude’s code. The incident led to the accidental release of over 500,000 lines of code, causing a significant security breach. Anthropic’s attempt to take down the leaked files further escalated the issue, as it mistakenly removed thousands of GitHub repositories.
Large-Scale Support for Cybersecurity Defenders
Project Glasswing’s partner organizations will be among the first to test Claude Mythos. These partners include some of the largest players in technology and infrastructure, with the Linux Foundation and Palo Alto Networks joining the program. The initiative aims to harness Mythos’s ability to identify and exploit vulnerabilities while prioritizing the security of its deployment.
Along with the partner program, Anthropic has pledged $4 million in donations to open-source security groups. The company’s focus on supporting cybersecurity initiatives highlights its commitment to safeguarding against advanced cyber threats. However, Mythos’s future remains uncertain, as Anthropic continues to refine its defensive capabilities before making the model more widely available.
The development of Mythos marks a significant step in the AI-driven defense against cybersecurity risks, though Anthropic remains cautious about its broader use.
Rory McIlroy to begin Masters defense paired with Cameron Young
Latest AI news: China’s MizarVision aids Iran
Halle Bailey Speaks Out on ‘Little Mermaid’ Backlash
-
NewsBeat5 days agoSteven Gerrard disagrees with Gary Neville over ‘shock’ Chelsea and Arsenal claim | Football
-
Business5 days agoNo Jackpot Winner and $194 Million Prize Rolls Over
-
Fashion4 days agoWeekend Open Thread: Spanx – Corporette.com
-
Crypto World6 days agoGold Price Prediction: Worst Month in 17 Years fo Save Haven Rock
-
Business2 days agoThree Gulf funds agree to back Paramount’s $81 billion takeover of Warner, WSJ reports
-
Business4 days agoExpert Picks for Every Need
-
Sports3 days agoIndia men’s 4x400m and mixed 4x100m relay teams register big progress | Other Sports News
-
Business6 days agoLogin and Checkout Issues Spark Merchant Frustration
-
Tech2 hours agoHow Long Can You Drive With Expired Registration? What Florida Law Says
-
Business3 days ago
No Jackpot Winner, Prize to Climb to $231 Million
-
Crypto World7 days ago
Bitcoin stalls below key resistance as technical signals skew bearish
-
Tech5 days agoCommonwealth Fusion Systems leans on magnets for near-term revenue
-
Politics7 days agoStarmer’s centre has collapsed, and the left was right all along
-
Crypto World6 days agoRipple rolls out enterprise crypto treasury platform for corporates
-
Fashion2 days agoMassimo Dutti Offers Inspiration for Your Summer Mood Board
-
Crypto World6 days agoWhy It’s Partnering, Not Issuing
-
Tech6 days agoDrawing Tablet Controls Laser In Real-Time
-
Business3 days agoAkebia Therapeutics, Inc. (AKBA) Discusses Pipeline Progress and Strategic Focus on Kidney Disease Treatments at R&D Day – Slideshow
-
Tech7 days agoSolo Leveling: Ranking All Sung Jinwoo Shadows by Power
-
Sports6 days ago
Tom Pelissero Drives the Final Nail in the Coffin
You must be logged in to post a comment Login