Washington Bans Kalshi from Offering Contracts on Sports, Elections, and Technology

cryptonews.ruPublicado a 2026-08-17Actualizado a 2026-08-17

Resumen

The Washington State Supreme Court has prohibited the crypto-based event betting platform Kalshi from offering a wide range of event contracts to state residents, including those related to sports, elections, politics, entertainment, culture, technology, and science. Judge John McHale rejected Kalshi's argument that federal commodity market law preempts state gambling regulations. The ruling allows contracts tied to commodities, climate, economics, and financial metrics to continue but mandates Kalshi to implement geofencing measures by specific deadlines to block Washington users from accessing banned contracts. State Attorney General Nick Brown stated the action holds Kalshi accountable for operating illegal gambling. Kalshi contends that the Commodity Futures Trading Commission (CFTC) has exclusive jurisdiction over its business. The court found the state presented sufficient grounds for its case under three state laws and that federal law does not override Washington's gambling statute. This decision reinforces a distinction: financial/commodity-based contracts remain permissible, while those on political, sports, or cultural events fall under state gambling law. The outcome depends on Kalshi's pending appeal and similar legal battles in other states, highlighting the ongoing conflict between federal derivatives regulation and state-level gambling enforcement.

The cryptocurrency event-betting platform Kalshi has been banned from offering a wide range of event contracts in the state of Washington—from sports and elections to technology and science. King County Superior Court Judge John McHale rejected the company's argument that federal commodity market legislation takes precedence over the state's gambling law.

According to the ruling, Kalshi is prohibited from offering state residents contracts related to sports, elections, politics, entertainment, culture, technology, and science. Contracts tied to commodities, climate, economy, and financial indicators were not banned—an exception was made for them.

The State Attorney General's Position

Washington State Attorney General Nick Brown commented on the decision on social media X, stating that state authorities are holding Kalshi accountable for operating illegal gambling activities and cited a recent court decision in support of this position.

The ruling orders the company to phase out access for users from Washington. By August 19, a basic geofencing system (a technology for creating a virtual perimeter around a real geographical object) based on IP addresses and user residence data must be implemented.
By September 2, a multi-layered geofencing system from GeoComply needs to be deployed.

These measures should eliminate the possibility of state residents purchasing contracts subject to the court ban.

The Essence of the Court Proceedings

The signed order formalizes the terms of the preliminary injunction that McHale issued back in July. The judge concluded that the Commodity Exchange Act does not preempt Washington's gambling law, and also noted that the state presented sufficient grounds for the likely satisfaction of claims under three state laws.

Kalshi insists that exclusive jurisdiction over its business lies with the Commodity Futures Trading Commission (CFTC). The Washington State Court of Appeals rejected the company's motion to stay the injunction pending appeal.

The dispute between Kalshi and state authorities over the status of event contracts has long extended beyond a single court case: the company is simultaneously defending its business model in several jurisdictions, appealing to federal derivatives market regulation. The Washington court decision essentially formalizes a distinction: contracts tied to financial and commodity indicators remain outside the ban zone, while contracts on political, sports, and cultural events fall under regional gambling legislation.

The further development of the situation will depend on the outcome of the appeal and on how similar disputes in other states influence the general judicial practice regarding prediction markets.

AI Opinion

From the perspective of machine data analysis, the Kalshi case in Washington is not the first episode of its kind: a similar scenario has already unfolded in Massachusetts, where the company faced a lawsuit over unlicensed sports betting. The repetition of the conflict in different states points to a systemic problem: the federal status of an exchange under CFTC supervision does not guarantee a uniform legal framework at the state level, and each jurisdiction is attempting to draw its own line between an "event contract" and a "game of chance."

A technical aspect remaining behind the scenes of the article is the very architecture of geofencing. The transition from IP filtering to a multi-layered GeoComply system within two weeks indicates that regulators are demanding not formal, but actual user exclusion, which is technically more complex for a platform with international reach than a simple address block. Will this model—a federal license plus targeted state bans—remain viable in the long term, or will the matter eventually reach the federal Supreme Court?

Preguntas relacionadas

QWhat has the state of Washington prohibited Kalshi from offering to its residents?

AThe state of Washington, through a court order, has prohibited Kalshi from offering contracts related to sports, elections, politics, entertainment, culture, technology, and science to its residents.

QWhat types of contracts has Kalshi been allowed to continue offering in Washington state according to the court order?

AKalshi has been allowed to continue offering contracts tied to commodities, climate, economics, and financial indicators in Washington state, as these were granted an exception in the ruling.

QWhat was the core legal dispute between Kalshi and Washington state authorities?

AThe core legal dispute centered on whether federal commodity market laws (the Commodity Exchange Act and CFTC oversight) preempted state gambling laws. The court ruled that state gambling laws were not overridden and applied to Kalshi's event contracts in certain categories.

QWhat technical measures is Kalshi required to implement to comply with the court's preliminary injunction?

AKalshi must implement a basic geofencing system based on IP addresses and user residence data by August 19th, and a multi-layered geofencing system from the company GeoComply by September 2nd to block Washington residents from accessing prohibited contracts.

QWhat does the article suggest about the broader regulatory challenge Kalshi faces beyond Washington state?

AThe article suggests that Kalshi faces a systemic, multi-state regulatory challenge. Different states are attempting to draw their own lines between event contracts and gambling, meaning the company's federal CFTC registration does not guarantee a uniform legal landscape, forcing it to defend its business model in multiple jurisdictions simultaneously.

Lecturas Relacionadas

20% of American Workers Are Offloading Tasks to AI, Where Tasks Are Replaced, Not Jobs

A recent survey by Epoch AI and Ipsos reveals that 20% of US workers report that AI has now fully or mostly taken over at least one task they previously outsourced to colleagues or contractors. The key finding is that AI is currently replacing specific *tasks*, not entire *jobs*. The study examined ten common knowledge-work tasks. While AI usage is widespread—ranging from 25% for maintaining records to 57% for software design—it rarely handles a task completely. In software design, for instance, only 10% of workers reported AI doing most or all of the work. AI's impact on time efficiency is mixed: 53% of tasks where AI does most of the work see reduced time, but about one-sixth of all AI-assisted tasks actually become *more* time-consuming. Furthermore, while 66% of AI outputs are used with little or no modification, this does not necessarily indicate high quality. Researchers note that clearly defined, deliverable tasks—traditionally suited for outsourcing—are most susceptible to AI takeover. This shift pressures task-based contractors more than it eliminates full-time roles. Adoption is also uneven, concentrated among higher-income, college-educated white-collar workers. The report concludes that the core dynamic is a reorganization of work between humans and AI. The critical question for workers is not "Will AI replace me?" but "How many of my job's components can be packaged as discrete, outsourceable tasks?"

marsbitHace 3 min(s)

20% of American Workers Are Offloading Tasks to AI, Where Tasks Are Replaced, Not Jobs

marsbitHace 3 min(s)

Sam Altman Names Him: The Most Important Researcher in AI, But Almost No One Knows Him

In a recent interview, Sam Altman gave a rare and high praise, calling Alec Radford "perhaps the most important, yet least known, researcher in AI history." Widely regarded as the true father of GPT, Radford is the lead author of foundational papers including GPT-1, GPT-2, CLIP, and Whisper, and contributed significantly to GPT-3, DALL·E, Scaling Laws, and GPT-4. Despite this monumental impact, Radford remains highly private, holds no PhD, and rarely gives interviews. Altman credits OpenAI's rise to hiring the then-23-year-old in 2016. Radford's early experiments, like training a model on Amazon reviews, led to the discovery of the "unsupervised sentiment neuron," revealing that models can learn unintended capabilities from simple next-token prediction. His pivotal move was applying the Transformer architecture to language modeling, creating GPT-1 in 2018. This established the "scaling" direction—focusing on increasing model size, data, and compute—which became OpenAI's core strategy, leading to GPT-2, GPT-3, and beyond. Radford later applied the same principles beyond text. His early work on DCGAN laid groundwork for image generation. At OpenAI, he contributed to Image GPT, DALL·E, and CLIP, demonstrating that a simple, scalable training task (like matching images to text) could yield powerful, general capabilities. His work on Whisper applied this to robust speech recognition. Described by colleagues as a "once-in-a-generation genius" and exceptionally kind, Radford is known for his low profile. In late 2024, he left OpenAI for independent research. His latest project, "Talkie," is a 13-billion parameter language model trained *only* on texts published before 1931. This experiment tests if a model with no modern knowledge can quickly learn new skills (like basic Python) from few examples, probing the boundary between memorization and true learning. True to form, as the world catches up, Radford is likely already working on the next big question.

marsbitHace 4 min(s)

Sam Altman Names Him: The Most Important Researcher in AI, But Almost No One Knows Him

marsbitHace 4 min(s)

Founder of 10x Research Explains Why It's Mathematically Impossible for Bitcoin to Reach $1 Million by 2030!

Markus Thielen, founder of research firm 10x Research, argues it is mathematically unrealistic to expect Bitcoin to reach $1 million by 2030. While many in the industry have made such predictions based on institutional adoption, spot ETF demand, and global money supply growth, Thielen notes the required market capitalization increase would be extraordinarily high. Achieving this price point would demand vastly greater shifts in global capital flows and investor behavior than current data supports. He clarifies this does not negate Bitcoin's long-term bullish potential, acknowledging its growing institutional use and acceptance in traditional finance. However, Thielen advises investors to maintain realistic expectations rather than overly optimistic price forecasts. His analysis adds a new dimension to the ongoing debate among crypto market analysts, some of whom foresee new highs while others see limited growth potential under current macroeconomic conditions.

cryptonews.ruHace 7 min(s)

Founder of 10x Research Explains Why It's Mathematically Impossible for Bitcoin to Reach $1 Million by 2030!

cryptonews.ruHace 7 min(s)

Cursor Disappears Completely

On August 15th, Cursor, the AI-powered code editor, officially ceased to exist as an independent company after being acquired by SpaceX for a historic $60 billion. The move, announced by Cursor's own account stating it is now "part of SpaceX," marks the end of a journey that began with four MIT students building the tool in their dorm room. The acquisition grants Elon Musk's ecosystem a crucial component: vast amounts of real-world programming data and workflow from Cursor's 5 million enterprise users. This data will integrate with SpaceX's infrastructure (like the Colossus supercomputer), xAI's Grok models, Tesla's autonomous driving data, and data from X, creating a formidable, vertically-integrated data moat for developing Artificial Superintelligence (ASI). A key immediate outcome is the enhancement of xAI's recently launched "Grok Bot," a persistent AI agent capable of multi-step tasks. Cursor serves as its primary delivery platform, combining cloud computing, multi-agent collaboration, and advanced coding capabilities. This positions the Grok Bot + Cursor combo to compete directly with offerings like Claude Cowork and ChatGPT Work in the enterprise AI agent market. The deal, stemming from a clause in an earlier partnership agreement, represents a complete absorption. Cursor will be dismantled, with its assets, team, and technology folded into SpaceXAI. The beloved Cursor brand itself will be retired in favor of the "Grok" umbrella (e.g., Grok Bot, Grok Build), signaling the end of its identity as a neutral, developer-centric platform. This acquisition signifies a pivotal shift in the AI landscape. It demonstrates that powerful AI applications face a binary fate: become a giant or be consumed by one. The era of neutral, model-agnostic tools may be closing, giving way to a future dominated by a few integrated super-entities like the SpaceXAI empire, Microsoft/OpenAI, and others, all competing in a "winner-takes-most" battle for ASI supremacy. Cursor's story, once a fairy tale for startups building on top of foundational models, concludes as a gear in a much larger machine.

marsbitHace 7 min(s)

marsbitHace 7 min(s)

Is OpenRouter Worth $70 Billion?

Payment giant Stripe has reportedly finalized the acquisition of AI infrastructure startup OpenRouter for over $7 billion, significantly higher than its $1.3 billion valuation from a funding round just months prior. This has sparked intense debate over whether the platform is worth the high price tag. Opponents argue that OpenRouter’s core service — a unified API router that directs user requests to various AI models (like OpenAI, Anthropic, Google) while handling load balancing and cost optimization — is easily replicable and lacks a deep technical moat. With an estimated annual revenue of $50 million, the $7B price implies a staggering 140x price-to-sales multiple. Critics question if OpenRouter is merely a transitional middleman in the evolving AI infrastructure landscape, vulnerable to being bypassed as model providers and cloud platforms integrate similar routing capabilities directly. Proponents, however, see beyond a simple API proxy. They view OpenRouter as a critical and growing "toll booth" for AI inference traffic. While it currently charges only a 5.5% platform fee on user credits, its real value lies in the aggregated user base, payment relationships, traffic data, and distribution power it has amassed. For Stripe, which processes OpenRouter's payments, this acquisition is seen as securing a strategic gateway into the future AI economy, analogous to how it built the payment "toll booth" for the internet commerce era. Ultimately, the debate centers not on OpenRouter's current financials but on two future unknowns: the ultimate size of the AI inference market and OpenRouter's ability to maintain its position as a dominant traffic orchestrator within it. Whether Stripe overpaid or has shrewdly purchased a key to the next era of AI infrastructure remains to be seen.

Odaily星球日报Hace 17 min(s)

Odaily星球日报Hace 17 min(s)

Trading

Spot