X Allows Paid Crypto Promotions but Restricts Ads in EU and UK

TheNewsCryptoPubblicato 2026-03-02Pubblicato ultima volta 2026-03-02

Introduzione

X has updated its advertising policy to allow paid crypto promotions through its official partnership programs, requiring clear labeling for transparency. However, the platform maintains restrictions on non-partnership crypto ads to prevent spam and misleading content. This move aligns X with other social networks that permit regulated crypto advertising, emphasizing compliance with legal and platform standards. Industry analysts believe this could boost visibility for legitimate crypto projects and influence marketing strategies, though regulatory compliance remains crucial. The policy does not permit unsolicited promotions, balancing openness with controls.

The announcement came from the social media site itself, saying they updated the advertising rules to include branded content for crypto. This only applies if the accounts are in official paid partnership programs. Creators get to share promo posts about crypto products, but they have to label them clearly as paid. It seems like they are trying to make things more transparent that way.

Still, X is keeping restrictions on the regular kind of crypto advertising that is not tied to partnerships or does not have proper disclosures. They want to stop spam and misleading stuff from reaching users. The change happened after hearing from advertisers and people in the industry who wanted better guidelines for marketing digital assets.

Crypto companies often turn to platforms like this to get their name out there and build awareness with more people. By allowing these paid promotions, X is catching up with other social networks that already allow regulated crypto ads. They stressed that everything has to follow the laws and the platform’s own standards, plus there are safety steps to avoid fraud or deception.

Analysts are saying this could help legitimate crypto projects get more visibility through sponsorships. Some investors feel it supports wider adoption, like opening up new ways to market. But it is not a total free-for-all, since unsolicited promotions are still limited.

Marketing Impact and Industry Response

On the marketing side, people in the industry think this might change how companies spend their budgets on digital stuff. Brands could start seeing X as a spot for campaigns aimed at tech people or crypto fans. It might lead to more organized team-ups between crypto firms and influencers.

The regulatory stuff will probably stay a big deal, especially with different rules in places. Companies will need to keep checks in place to ensure content complies with legal and platform rules. As these partnerships grow, there could be more watching of how things engage and how brands are seen. This policy could spark new ideas in advertising for crypto and regular social sites. Some parts get a bit messy when thinking about how it all connects.

Highlighted Crypto News:

Senate Democrats Urge Federal Review of Binance Compliance Controls

Domande pertinenti

QWhat is the main change X announced regarding crypto advertising?

AX updated its advertising rules to allow branded content for crypto, but only for accounts in official paid partnership programs, and these promotions must be clearly labeled as paid.

QWhy is X keeping restrictions on some types of crypto advertising?

AX is maintaining restrictions on crypto ads not tied to partnerships or lacking proper disclosures to prevent spam and misleading content from reaching users.

QHow did this policy change come about according to the article?

AThe change was implemented after X received feedback from advertisers and industry participants who wanted better guidelines for marketing digital assets.

QWhat potential benefit for legitimate crypto projects does this new policy offer?

AAnalysts say the policy could help legitimate crypto projects gain more visibility through sponsorships and open up new marketing avenues, supporting wider adoption.

QWhat is a key concern that companies will need to manage under this new advertising policy?

ACompanies will need to ensure their content complies with varying legal regulations and the platform's own standards, implementing checks to avoid fraud and deception.

Letture associate

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit2 h fa

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit2 h fa

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit3 h fa

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit3 h fa

Trading

Spot
Futures
活动图片