Category: Uncategorized

  • PI Network Pioneers Boost Ecosystem Amidst Slump

    PI Network Pioneers Boost Ecosystem Amidst Slump

    Pi Network Updates Launchpad Testing Amidst Underlying Asset Slump

    The core development team behind the Pi Network, a project that has garnered both popularity and controversy, has released a new update regarding the testing phase of its Pi Launchpad. The update introduces a brand-new test token, SLICE, while the underlying PI asset faces intensified struggles, nearing another breach of the $0.13 mark.

    Last week, CryptoPotato reported that the Pi Network team had revised the participation and flow model for the Pi Launchpad. This adjustment opened the door for all users, referred to as “Pioneers,” to engage in testing the second such token, named SLICE.

    To participate, users were instructed to open the Pi Launchpad within the Pi Browser, review the new test token and its associated project, select a commitment amount in Test-Pi, confirm their participation, and then interact with the Slice of Pi App to provide feedback. This initiative is scheduled to continue for another 10 days, concluding on Pi2Day, June 28.

    The latest update on the testing period indicated that the initial test token provided “useful data and highlighted areas where the Launchpad experience needed improvement,” underscoring the importance of Pioneer feedback. Consequently, the revised participation flow has been streamlined to be “simpler and clearer.” The team stated that participation is now “centered around the commitment amount, which has the direct effect on token acquisition.”

    Users have the flexibility to determine their Test-Pi commitment, with the Launchpad automatically calculating the corresponding ‘fair-access hold.’ Before final confirmation, Pioneers are presented with their commitment amount, hold amount, and the total.

    “The goal is to make it easier to understand and use the Pi Launchpad, and preserve the intended fair-access effect of the hold,” the team explained.

    Meanwhile, the non-testing token of the Pi Network ecosystem has experienced significant downturns recently. Its price fell below $0.12 on June 6, setting a new all-time low. This represented a substantial 96% decline from its peak in February 2025.

    While the asset saw a rapid initial recovery, pushing towards $0.14 as broader market sentiment improved, recent events have introduced renewed uncertainty. The Federal Open Market Committee (FOMC) meeting and the subsequent press conference yesterday contributed to a slide in Bitcoin below $64,000, with many altcoins, including PI, following suit.

    As of now, PI has retreated towards $0.13, marking a decline of over 3% in the past 24 hours. The token remains outside the top 50 altcoins by market capitalization, which currently stands at $1.420 billion.

  • Binance Futures Ends Last Price Protection on HUSDT Perpetual Contract

    Binance Futures Ends Last Price Protection on HUSDT Perpetual Contract

    Binance Futures to Phase Out Last Price Protected Mechanism

    Binance Futures announced today that it will be discontinuing the Last Price Protected (LPP) period for its USDⓈ-Margined HUSDT Perpetual Contract. The change will see the contract’s Mark Price gradually transition from the LPP mechanism to a standard Mark Price calculation.

    The transition is scheduled to commence on June 18, 2026, at 09:45 UTC. Binance anticipates the transition period could last up to three hours, depending on market volatility and the availability of a stable index price. To mitigate abrupt price fluctuations and ensure stability, the process will involve a mark price smoothing technique. Trading operations will remain unaffected throughout this period, and existing open orders and positions will not be canceled.

    New Mark Price Calculation and Funding Rate Adjustments

    Upon the conclusion of the LPP period, the Mark Price will be determined using the following formula:

    Mark Price = Median (Price 1, Price 2, Contract Price)

    Users can find the specific formulas for Price 1 and Price 2 within the Mark Price and Price Index documentation for USDⓈ-Margined Futures.

    Following the end of the LPP period, the funding rate will adhere to the standard rules for perpetual futures contracts. The capped funding rate will be adjusted from the current ±0.005% to ±2.00% at 09:45 UTC on June 18, 2026.

    The funding rate adjustments will occur as follows:

    • June 18, 2026, 08:00 UTC: Maximum Funding Rate: +0.005% / -0.005%
    • June 18, 2026, 12:00 UTC: Maximum Funding Rate: +2.000% / -2.000%
    • June 18, 2026, 16:00 UTC: Maximum Funding Rate: +2.000% / -2.000%
    • June 18, 2026, 20:00 UTC: Maximum Funding Rate: +2.000% / -2.000%

    The funding interval will also be adjusted from every four hours to every hour once the previous funding rate settlement reaches ±2.00%.

    Further details regarding trading rules, funding rate history, mark price and price index information, and Binance Futures contract specifications are available on the Binance platform.

    This notice is issued under Binance Exchange Rule 17. Binance reserves the right to modify the constituents and weightage of the Price Index at its discretion. Users are advised to consult the provided page for the most current information on the Price Index.

    Binance may also adjust the specifications of this futures contract, including funding fees, tick size, maximum leverage, and initial and maintenance margin requirements, based on market risk conditions. Users should refer to the Trading Rules for the latest updates.

  • CME to Sue CFTC on Crypto Perpetual Futures

    CME to Sue CFTC on Crypto Perpetual Futures

    CME Group to Sue CFTC Over Crypto Perpetual Futures Approval

    CME Group CEO Terrence Duffy announced Wednesday that the exchange operator intends to file a federal lawsuit against the Commodity Futures Trading Commission (CFTC). The legal action targets the regulator’s late-May approval of bitcoin perpetual futures for the prediction-market platform Kalshi, marking the first regulated U.S. listing of such contracts.

    Duffy’s core argument, articulated on CNBC’s “Fast Money,” is that the products the CFTC approved as futures are legally classified as swaps under the Dodd-Frank Act. He contends that the agency exceeded its authority by fast-tracking these products without sufficient review.

    The implications of this dispute extend far beyond Kalshi. Duffy stated on air that CME holds exclusive licensing agreements with all major benchmark providers whose indexes are used for pricing crypto derivatives.

    If perpetual futures are reclassified as swaps by the courts, any platform offering them would be compelled to operate within CME’s licensing framework, irrespective of how their products are labeled. This outcome would effectively prevent platforms like Kalshi, Coinbase, and Kraken from operating U.S. perpetual futures markets outside of CME’s terms.

    CFTC Chair Michael Selig defended the approval earlier in the week, telling CNBC that it was “time to approve regulated futures contracts that have no expiration date.” A CFTC spokesperson, meanwhile, dismissed the threatened lawsuit as frivolous.

    The broader regulatory landscape is a significant factor. Lawmakers are currently debating the extent of the CFTC’s jurisdiction over cryptocurrency through legislation such as the CLARITY Act, which is progressing through the Senate. This bill aims to formalize the CFTC’s authority over digital commodity derivatives, making the outcome of CME’s lawsuit directly relevant to the practical application of such legislative frameworks.

    Legal and Procedural Arguments

    The legal framing of the dispute is precise and warrants examination. The Dodd-Frank Act establishes a clear distinction between futures and swaps within the Commodity Exchange Act. A futures contract is defined by its delivery or cash settlement at a specified expiration date, whereas a swap involves continuous payment exchanges between two parties based on an underlying reference rate.

    Perpetual futures, by their nature, lack an expiration date. Instead, they employ a funding-rate mechanism, which involves periodic payments between long and short holders, to maintain the contract price in alignment with the spot price. Duffy argues that this mechanism is structurally identical to a swap under the statute.

    During his CNBC appearance, Duffy plainly stated, “Under the Dodd-Frank Act, it clearly defines what a swap is and what a future is, and when there’s two parties exchanging payments to each other, that’s deemed a swap. So, if anything, these products that he supposedly approved as futures are not futures, they would be swaps, and if they’re swaps, and let’s say, as you know, there are different requirements in order to participate in the swap market.”

    This classification carries substantial consequences. Participants in the swap market face more stringent eligibility requirements, higher capital thresholds, and different reporting obligations compared to those in the futures market.

    CME’s challenge also includes a procedural dimension. Market lawyers anticipate that the lawsuit will incorporate a challenge under the Administrative Procedure Act. This argument would assert that the CFTC relied on expedited self-certification and abbreviated review processes for what the agency itself has characterized as a novel and complex product class, bypassing the comprehensive notice-and-comment rulemaking typically necessitated by such complexity.

    Duffy directly reinforced this procedural critique, accusing the CFTC of presenting a 24/7 trading release as a formal rule when it was not. He expressed his belief that the agency was, “to an extent,” misrepresenting facts.

    CFTC’s Defense and Broader Implications

    CFTC Chair Selig maintains that the agency possesses clear statutory authority to approve futures contracts on commodity indexes. He argues that a well-structured perpetual futures contract, featuring a defined reference rate, margining requirements, and daily settlement, qualifies as such.

    The CFTC’s position sidesteps the “no expiry” objection by highlighting the daily settlement mechanism as functionally equivalent to the roll that occurs in dated futures, thereby satisfying the Commodity Exchange Act’s “future delivery” requirement in economic terms.

    The CFTC’s approval of perpetual contracts represented the first new category of derivative products sanctioned by the agency in over a decade, a milestone for American markets and a signal of renewed innovation domestically.

    The central legal question the case will bring to the forefront is whether the CFTC’s interpretation of the Dodd-Frank swap definition will hold up in federal court.

    The CFTC also benefits from a favorable political climate. The current regulatory stance in Washington has generally been supportive of crypto access, and fast-tracking onshore perpetual futures listings aligns with the administration’s stated objective of repatriating derivatives volume from offshore, unregulated venues.

    Derivatives lawyers have noted that this case could serve as a test for the CFTC’s entire product-approval framework for crypto, subjecting the futures-swap boundary to federal court scrutiny that it has not previously encountered in the specific context of crypto derivatives.

    Commentators involved in the ongoing regulatory classification debates surrounding the Clarity Act have drawn direct parallels to this case, observing that definitional line-drawing by agencies frequently leads to litigation.

  • CME Group Sues CFTC Over Bitcoin Futures Approval

    CME Group Sues CFTC Over Bitcoin Futures Approval

    CME Group to Sue CFTC Over Approval of Bitcoin Perpetual Futures

    The CME Group has announced its intention to sue the Commodity Futures Trading Commission (CFTC) following the regulator’s decision to approve perpetual futures in the United States.

    Terrence Duffy, CEO of CME Group, told CNBC on Wednesday that the company plans to file the lawsuit on Thursday. He stated that the legal challenge will be based on the argument that perpetual futures should be classified as swaps under the Dodd-Frank Act.

    Duffy explained that CME believes these products should be treated as swaps rather than futures contracts. He added that the exchange’s benchmark licensing agreements mean providers offering perpetual futures would be required to operate through CME. “We have an exclusive license with every single provider of the benchmarks. So all of these would have to go through CME regardless of the perpetual,” Duffy said.

    Perpetual futures are contracts that do not have a set expiration date, allowing traders to speculate on an asset’s price without direct ownership.

    This development comes after the CFTC’s May approval of Kalshi to offer BTC perpetual futures, marking the first time the product received regulatory clearance for the U.S. market. Perpetual futures are already widely utilized in international markets, and Kalshi has indicated plans to expand its offerings to include other cryptocurrencies.

    Last year, Coinbase also became the first exchange to offer these derivatives to American investors through its Coinbase Financial Markets (CFM) platform.

    CME Group’s CEO indicated that the company has been preparing for this legal confrontation with its board for the past eight months and is ready to proceed with the challenge. “I’ve never shied away from one, and I won’t shy away from this…And that’s why I wanted to announce on your show that we will be filing this litigation tomorrow, because we are not taking this lightly,” he stated.

    In response, CFTC Chair Michael Selig has defended the agency’s decision to approve perpetual futures in the U.S. He argued that the move aims to make regulated products without expiration dates accessible domestically while ensuring they operate under American oversight.

  • STRC Dividend Streak Hits 32 Years Amid Price Drop Below $90

    STRC Dividend Streak Hits 32 Years Amid Price Drop Below $90

    Strategy Claims 32 Years of Dividend Payments as STRC Sinks Below $90

    Strategy, the company whose treasury is heavily invested in Bitcoin, asserted on Thursday that it possesses sufficient reserves to cover its dividend obligations for the next 32 years. The company stated on X, formerly Twitter, that its Bitcoin holdings, currently valued at just under $55 billion, provide ample coverage for its $1.7 billion in dividend commitments.

    This latest claim follows a November assertion by Strategy that it had 71 years of dividend coverage, a projection that assumed a flat Bitcoin price, an assumption that has not held true. Strategy issues dividends on its Stretch product, STRC, which is designed to trade at $100 and offers an 11.5% yield.

    However, the price of STRC has recently fallen by more than 10%, a development that increases its effective yield and necessitates a greater cash outlay from the company to meet its dividend payments. On Wednesday, STRC dropped another 3%, nearing its record low and trading at $89, according to Google Finance data. BitcoinQuant reports the current effective yield for STRC stands at 12.9%.

    The company’s pronouncements have drawn scrutiny and concern from observers. Many have voiced worries on social media platforms about Strategy potentially needing to sell more Bitcoin to meet its payment obligations. This could lead to significant dilution of its common stock, MSTR, and carries the risk of accelerating the depletion of its Bitcoin reserves if further price declines occur.

    MSTR shares also experienced a downturn on Wednesday, falling an additional 5% to $116. The stock is now down 73% from its all-time high reached in July 2025.

    Skepticism Mounts Over Dividend Coverage Claims

    Prominent Bitcoin critic Peter Schiff has been particularly vocal in his opposition to Strategy and its CEO, Michael Saylor. Schiff commented on Strategy’s 32-year dividend coverage claim, outlining several critical assumptions. “That assumes you don’t raise the dividend on the preferreds, you don’t issue any more preferred shares, and the price of Bitcoin doesn’t fall,” Schiff stated. He added, “In fact, if you start selling Bitcoin to cover your obligations, the price will fall even faster, depleting your reserves much quicker.”

    This sentiment was echoed by others in the cryptocurrency community. User ‘Kaleo’ suggested, “the responsible thing you should do is cut your losses sooner rather than later and sell the Bitcoin now.” The underlying concern is that selling Bitcoin to meet obligations will inevitably depress its price. “The lower the price that you’re forced to sell, the more BTC you’ll be forced to sell to raise the same amount of cash,” one user explained. CryptoQuant analyst ‘Darkfost’ urged Strategy to “Do the math again without thinking your sales will never drag BTC price down.”

    Strategy’s recent activity has also contributed to market uncertainty. The company sold 32 BTC in late May, coinciding with a broader Bitcoin selloff. However, it has also been acquiring Bitcoin, purchasing 1,587 BTC for approximately $100 million last week and another 1,550 BTC for a similar sum in early June.

    While selling Bitcoin to cover dividend payments appears to be the company’s primary recourse, this strategy risks creating a negative feedback loop, often termed a “death spiral,” as such sales could further depress the price of Bitcoin.

    Despite these concerns, Joe Burnett, vice president at Strive, offered a different perspective. He suggested that if Strategy were to allow the market to test lower price levels and then actively buy back Bitcoin to push the price back into its target range, it could potentially bolster market confidence. “It would train the market that temporary breaks below the target range can be buying opportunities, especially if dividends continue getting paid and the price returns to the range quickly,” Burnett commented.

  • Bybit Lists Secret Network Upgrade

    Bybit Lists Secret Network Upgrade

    Bybit to Support Secret Network Upgrade, Halting Deposits and Withdrawals Temporarily

    Cryptocurrency exchange Bybit has announced its support for the upcoming Secret (SCRT) v1.25.0 network upgrade. The upgrade is scheduled to occur on June 18, 2026, at approximately 2:10 PM UTC, or at block height 25,809,000.

    In preparation for a seamless transition, Bybit will temporarily suspend all deposits and withdrawals for Secret (SCRT) starting at 1:30 PM UTC on June 18, 2026.

    The exchange has clarified that trading activities will remain unaffected during this period.

    Bybit also noted that there will be no separate announcements regarding the resumption of deposit and withdrawal services. Users wishing to be notified when these services are back online are advised to visit the Deposit or Withdrawal page and activate the “Set Alert” function.

    Further details regarding the network upgrade can be found in the official release notes.

  • AI Now a Topic in Therapy, Psychologists Report

    AI Now a Topic in Therapy, Psychologists Report

    Patients Turn to AI for Mental Health Support, Survey Finds

    As generative artificial intelligence becomes increasingly integrated into daily life, a growing number of patients are bringing their conversations with AI chatbots into therapy sessions. A new survey by the American Psychological Association (APA) reveals that a significant majority of U.S. psychologists are encountering patients who discuss using AI for emotional support, diagnosis, companionship, and other mental health-related purposes.

    Widespread Use of AI in Mental Health Discussions

    The survey, which polled over 1,200 psychologists, found that 77% reported patients discussing their use of AI for mental health. Specifically, 39% of psychologists noted patients using AI for self-diagnosis of mental health conditions. Another 33% indicated that patients were employing chatbots to aid in their therapy or treatment, while 35% observed patients using AI as a supplementary mental health resource.

    Concerns Over Dependency and Distorted Thinking

    While few psychologists reported unhealthy chatbot usage among their patients, the survey highlighted emerging concerns. More than a third (36%) of psychologists observed patients developing a level of dependency on chatbots. Furthermore, 15% of respondents discussed or noticed patients exhibiting distorted thinking or delusions related to their interactions with AI.

    AI for Social and Intimate Connections

    Beyond therapeutic applications, patients are also utilizing chatbots for social engagement. Twenty-two percent of psychologists reported patients using AI for friendship, and 13% indicated that patients were engaging in intimate relationships with chatbots.

    Among psychologists whose patients had formed relationships with chatbots, a substantial number reported the nature of these interactions. Seventy-one percent said patients discussed their mental health with AI, and 68% reported that patients felt supported or validated by these exchanges. Nearly half of the surveyed psychologists noted positive communication between patients and chatbots, with 41% observing patients using AI to reinforce healthy coping mechanisms.

    The APA survey suggests that the overall use of AI for mental health purposes might be underestimated, as it only captured interactions with existing patients.

    Growing AI Companionship and Research Concerns

    This trend emerges as AI companies continue to expand their offerings of chatbots and AI companions. Simultaneously, researchers are voicing increasing concerns about the potential impact of these technologies on mental health. The APA survey’s findings echo these worries, with over a third of psychologists reporting patient dependency and 15% noting instances of distorted thinking or delusions.

    These findings align with a recent study from the City University of New York and King’s College London, which found that several leading AI models could inadvertently reinforce delusions, paranoia, and suicidal ideation. The study specifically identified xAI’s Grok 4.1 Fast as performing the worst in this regard.

    A previous study mentioned in the APA report characterized psychologists’ attitudes toward AI for mental health advice as marked by significant caution regarding safety and privacy. Almost all psychologists surveyed (97%) believed that chatbots could unintentionally reinforce negative behaviors or delusional beliefs, and 94% stated that current chatbot versions lack the nuance required to treat mental health conditions appropriately.

    Legal Scrutiny Intensifies for AI Developers

    The APA survey also arrives amid mounting legal scrutiny for AI developers concerning the potential for chatbots to contribute to real-world harm. In recent months, major AI companies including OpenAI, Google, and xAI have faced lawsuits. These include a wrongful death suit against Google, alleging that its Gemini AI fueled a Florida man’s delusions prior to his suicide. Lawsuits have also been filed against OpenAI in connection with a mass shooting in British Columbia and an accidental overdose. Additionally, a class-action suit accuses xAI’s Grok of generating sexually explicit images of minors.

    While the APA acknowledges that AI can assist users in organizing their thoughts and can serve as a supplement to professional care, the organization strongly cautions that chatbots are not private and should not be considered a substitute for licensed mental health professionals.

    The APA survey concluded with a warning: “Many people—especially teens and adolescents—may be using AI as a more affordable and accessible option for mental health advice. However, AI is not a safe or effective replacement for a qualified mental health provider and should be used carefully.”

  • FTX’s SpaceX Stake: Billions at Play, Creditors’ Fate Uncertain

    FTX’s SpaceX Stake: Billions at Play, Creditors’ Fate Uncertain

    FTX Creditors Eye SpaceX’s Soaring Valuation for Potential Recovery

    Customers who suffered losses from the collapse of cryptocurrency exchange FTX are closely monitoring the performance of SpaceX following its initial public offering. Elon Musk’s rocket company has significantly surpassed its initial market valuation of $1.77 trillion, and its strong debut on Wall Street has bolstered hopes among those tracking FTX’s bankruptcy proceedings that creditors might recover more than initially anticipated.

    Sunil Kavuri, a British investor who lost approximately $2 million in the FTX implosion and has become a prominent advocate for other victims, told Decrypt, “It’s always great news to see good investments that could aid in the recovery and payment to FTX creditors.”

    FTX’s bankruptcy estate did not immediately respond to requests for comment.

    Months ago, Barbara Fried, mother of FTX co-founder Sam Bankman-Fried, noted in a blog post detailing her son’s story—he recently lost an appeal to overturn his 25-year prison sentence and fraud conviction—that the defunct exchange had already distributed $10.3 billion to customers.

    She referenced projections from Kyle Schmidt, a creditor advocate known as “Mr. Purple.” Schmidt estimated that final distributions could reach 171% of claims for customers with claims exceeding $50,000. This figure reflects a surplus generated from the liquidation of the estate’s assets and accrued interest.

    “Schmidt suggests that one notable investment […] is likely to yield significant proceeds this year,” Fried highlighted, referring to FTX’s investment in SpaceX through the venture firm K5 Global.

    Settlement with K5 Global Aims to Maximize Recoveries

    In January of last year, John J. Ray III, CEO of FTX’s recovery trust, announced a settlement with K5 Global. This agreement resolved a lawsuit initiated by FTX in June 2023, with both parties agreeing to collaborate on maximizing recoveries for FTX stakeholders.

    The lawsuit sought to reclaim $700 million in transfers that the defunct crypto venture allegedly made using misappropriated funds. K5 Global continues to list SpaceX in its investment portfolio.

    “It is clear that K5 is a bright spot in the FTX portfolio,” Ray stated. “The expected strong performance of their investments will be a key driver in the recovery efforts.”

    Decrypt did not receive an immediate response from K5 Global regarding comment.

    While the defunct exchange has not yet commented on SpaceX’s Wall Street debut or the potential benefits for creditors, Kavuri pointed out that the bankruptcy estate would be required to disclose any sale of stakes in K5 through court filings.

    FTX’s Exposure to SpaceX Traced to Venture Capital Investments

    Prior to his conviction, Bankman-Fried was accused of misappropriating over $8 billion in customer funds. These funds were allegedly used for political donations, real estate purchases, and venture capital investments.

    During his criminal trial, Bankman-Fried attempted to argue for leniency based on the success of his investments, which included stakes in Robinhood and Anthropic. However, the presiding judge rejected this defense, comparing the former crypto mogul to “a thief who takes his loot to Las Vegas.”

    FTX’s exposure to SpaceX originated from a relationship cultivated between Bankman-Fried and Michael Kives, described as a “super-networker” and co-owner of K5 Global alongside Bryan Baum, according to bankruptcy filings.

    The filings indicate that Alameda Research, FTX’s sister trading firm, transferred substantial sums to a K5-affiliated entity. Before FTX’s collapse in November 2022, one of K5’s funds had invested $190 million in Elon Musk’s rocket company.

    In 2022, SpaceX raised $1.73 billion at a post-money valuation of $125 billion, months before Bankman-Fried was accused of orchestrating a multibillion-dollar fraud, according to Forge.

    Although this estimate does not account for shareholder dilution, Kavuri suggested that FTX’s stake in SpaceX is likely worth several billion dollars, based on the company’s current market capitalization. On Wednesday, SpaceX’s market value surpassed $2.52 trillion, according to Yahoo Finance.

  • Federal Judge: Sports Prediction Markets Exempt from CFTC Oversight

    Federal Judge: Sports Prediction Markets Exempt from CFTC Oversight

    Federal Judge Rejects CFTC’s Claim Over Sports Prediction Markets

    A federal judge in Michigan delivered a significant blow Wednesday to Polymarket, ruling that sports-related prediction market wagers do not fall under the jurisdiction of the Commodity Futures Trading Commission (CFTC) as swaps.

    In a decision from the U.S. District Court for the Western District of Michigan, Judge Paul L. Maloney denied Polymarket’s request for a preliminary injunction against Michigan regulators. State officials are seeking to prevent the prediction market platform from offering sports wagers within the state, arguing they constitute illegal sports betting. Polymarket, conversely, contends these wagers should be classified as swaps, placing them under the federal purview of the CFTC.

    Judge Maloney’s denial of the preliminary injunction clearly indicated his belief that Polymarket is unlikely to prevail on the merits of the case. He explicitly stated that the company’s sports-related wagers are not swaps and therefore should not be regulated by the CFTC.

    The CFTC, under the Trump administration, had asserted that existing laws, particularly the Dodd-Frank Act of 2010, granted it the authority to regulate prediction markets. In recent months, the commission has taken action against several states attempting to restrict the growth of these markets, a trend that had received enthusiastic backing from the White House.

    Judge Maloney’s ruling appears to temper the CFTC’s aggressive legal stance. “Plaintiff’s vision of the scope of derivatives is so vast that it would encompass vast swaths of activity never understood to be associated with the financial industry and instead traditionally associated with core state, as opposed to federal, responsibilities,” Maloney wrote.

    He further elaborated, “Congress is not so cavalier with the fundamental federalist structure of the government. [T]he Court is convinced that its laws in the wake of the 2008 financial crisis were not aimed at fundamentally redefining the balance between the federal and state governments in ways unrelated to the problems it set out to solve.”

    This legal battle over prediction markets, with platforms often backed by the Trump administration clashing with state regulators in both Republican and Democratic states, has seen federal judges across the country weigh in over the past year. In the Sixth Circuit, which encompasses federal courts in Michigan, Ohio, Kentucky, and Tennessee, a federal judge in Ohio sided with state regulators in March, while a judge in Tennessee ruled in favor of prediction markets in February.

    The Sixth Circuit Court of Appeals is expected to begin deliberations on the matter later next month. With two courts under its purview having ruled in favor of state regulators and one supporting prediction markets and the CFTC, the ultimate resolution of this complex issue is likely to be decided by the U.S. Supreme Court in the coming years.

  • Nvidia AI Agents Build Self-Training Robots

    Nvidia AI Agents Build Self-Training Robots

    AI Agents Learn to Operate Physical Robots Autonomously

    A fleet of eight robotic arms at Nvidia’s GEAR lab has spent the past few weeks independently mastering tasks such as inserting pins, seating graphics cards, and cutting zip ties. The only human involvement was in the subsequent documentation of the process.

    This capability stems from ENPIRE, a framework detailed in a paper published Tuesday by researchers from Nvidia, Carnegie Mellon University, and UC Berkeley. ENPIRE delegates the entire robot training process to AI coding agents—the same software that already writes and tests its own code—allowing them to execute this training directly on physical hardware.

    For the past year, coding agents like OpenAI’s Codex, Anthropic’s Claude Code, and Moonshot’s Kimi Code have been engaged in what researchers term “autoresearch,” a cycle of writing, testing, and rewriting code without human intervention. This loop has largely remained confined to digital environments, where resetting a failed experiment incurs no cost. ENPIRE, however, extends this process into the physical realm, where resetting an experiment necessitates the manipulation of actual robotic arms.

    The system operates in two distinct stages. Initially, a human guides the agent in developing two essential tools: a reset routine to return the workspace to its initial state, and a reward function that analyzes camera footage to evaluate success. This setup, akin to a tireless, ever-vigilant referee, is established once and then reused for all subsequent attempts.

    Once these foundational tools are in place, the AI agent assumes complete control. It scours published research for relevant ideas, selects training methodologies such as imitation learning, reinforcement learning, or predefined rules, and then modifies its own code before testing the outcome on the robot. This entire loop requires no human oversight, a development that could be seen as either liberating or slightly disquieting, depending on one’s comfort level with unsupervised robots wielding tools.

    Nvidia conducted its experiment using eight bimanual robot stations, each equipped with its own hardware, computer, and coding agent. Progress across these stations is shared via Git, a collaborative coding tool, enabling successful strategies to be disseminated across the entire fleet within minutes.

    The effectiveness of the system was measured using two tasks: “Push-T,” where a robot uses only pushes to slide a T-shaped block into a designated zone, and pin insertion, which involves threading pins into 4-millimeter holes. Scaling the operation from one robot to eight reduced the time required to master Push-T from approximately five hours to two, and pin insertion from over 90 minutes to about 40 minutes.

    Across the four real-world tasks evaluated, the AI agents achieved a 99% success rate with their learned policies, according to the paper. For pin insertion, the agents reached near-perfect reliability faster than a comparable human-in-the-loop method, which typically requires daily human supervision.

    Jim Fan, co-lead of the GEAR Lab and director of Nvidia’s AI research, described the project as the first effort to enable autoresearch in the physical world. Fan stated that the team provided the agents with a fleet of robots, GPU resources, and a token budget, then allowed the robots to autonomously complete the tasks.

    Bridging the Simulation-Reality Gap

    The disparity between simulated environments and the physical world became apparent almost immediately. While all three coding agents successfully completed the Push-T task within a simulator, two of them failed when the same task was transferred to a physical robot, the paper noted. This highlights the challenges posed by real-world factors such as friction, which are not accurately replicated in simulations.

    Nvidia also tested ENPIRE within RoboCasa, a simulated kitchen environment designed to assess robots on chores like opening cabinets and turning off stoves. In this benchmark, ENPIRE surpassed both Nvidia’s own end-to-end model, GR00T, and CaP-X, a tool-using agent that bypasses the autoresearch loop entirely.

    ENPIRE builds upon an idea Nvidia first introduced with Eureka in 2023, a system that utilized a language model to generate reward functions for robots within a simulator, eliminating the need for manual engineering. ENPIRE takes this self-improvement loop a step further by moving it from simulation to actual hardware, with the AI agent not only designing its own rewards but also its own testing procedures.

    This development coincides with Alibaba’s recent unveiling of its own embodied AI initiative, the Qwen-Robot Suite, a collection of foundation models for robot navigation, manipulation, and physics simulation. While Alibaba is developing software for robots it does not manufacture, Nvidia is exploring the potential for AI agents to manage the entire research and development loop on its own hardware. Both approaches signal a growing trend: physical robots are emerging as the next frontier for AI coding agents to compete and innovate.