Connecticut can’t take action against Kalshi for now, judge rules

cointelegraphPublicado em 2025-12-10Última atualização em 2025-12-10

Resumo

A US judge has temporarily blocked Connecticut from taking enforcement action against prediction markets platform Kalshi, which received a cease and desist order from the state’s Department of Consumer Protection (DCP) for allegedly conducting unlicensed sports gambling. Kalshi sued the DCP, arguing its event contracts are legal under federal law and fall under the exclusive jurisdiction of the Commodity Futures Trading Commission. The court has paused enforcement while it reviews Kalshi’s motion for a preliminary injunction, with further legal proceedings scheduled through February. Kalshi, a CFTC-regulated platform that saw record trading volume in November, is also engaged in similar legal battles with multiple states, including New York, Massachusetts, New Jersey, Nevada, Maryland, and Ohio, over regulatory jurisdiction and gambling licensing.

A US judge has granted prediction markets platform Kalshi a temporary reprieve from enforcement after the state of Connecticut sent it a cease and desist order last week for allegedly conducting unlicensed gambling.

The Connecticut Department of Consumer Protection (DCP) sent Kalshi, along with Robinhood and Crypto.com, cease and desist orders on Dec. 2, accusing them of “conducting unlicensed online gambling, more specifically sports wagering, in Connecticut through its online sports event contracts.”

Kalshi sued the DCP a day later, arguing its event contracts “are lawful under federal law” and its platform was subject to the Commodity Futures Trading Commission’s “exclusive jurisdiction,” and filed a motion on Friday to temporarily stop the DCP’s action.

An excerpt from Kalshi’s preliminary injunction motion arguing that the DCP’s action violates federal commodities laws. Source: CourtListener

Connecticut federal court judge Vernon Oliver said in an order on Monday that the DCP must “refrain from taking enforcement action against Kalshi” as the court considers the company’s bid to temporarily stop the regulator.

The order adds that the DCP should file a response to the company by Jan. 9 and Kalshi should file further support for its motion by Jan. 30, with oral arguments for the case to be held in mid-February.

Kalshi is in a battle with multiple US states

Kalshi is a federally regulated designated contract maker under the CFTC and, in January, began offering contracts nationally that allow bets on the outcome of events such as sports and politics.

Related: How prediction markets raise insider trading and credit risks

Its platform has become hugely popular this year and saw a record $4.54 billion monthly trading volume in November, attracting billions in investments, with Kalshi closing a $1 billion funding round earlier this month at a valuation of $11 billion.

However, multiple US state regulators have taken issue with Kalshi’s offerings, which have led to the company being embroiled in lawsuits over whether it is subject to state-level gambling laws.

Kalshi sued the New York State Gaming Commission in October after the regulator sent a cease and desist order claiming it offered a platform for sports wagering without a license.

In September, Massachusetts’ state attorney general sued Kalshi in state court, which the company asked to be tossed. So far this year, Kalshi has sued state regulators in New Jersey, Nevada, Maryland and Ohio, accusing each of regulatory overreach.

Magazine: Can Robinhood or Kraken’s tokenized stocks ever be truly decentralized?

Leituras Relacionadas

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbitHá 43m

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbitHá 43m

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

marsbitHá 1h

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

marsbitHá 1h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar T

Bem-vindo à HTX.com!Tornámos a compra de Threshold Network Token (T) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Threshold Network Token (T) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Threshold Network Token (T)Depois de comprar o teu Threshold Network Token (T), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Threshold Network Token (T)Transaciona facilmente Threshold Network Token (T) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

376 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.03.21

Como comprar T

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de T (T) são apresentadas abaixo.

活动图片