*Data last updated: 2026-04-20 14:07 (UTC+8)
As of 2026-04-20 14:07, Dave & Buster's Entertainmen (PLAY) is priced at $14.40, with a total market cap of $496.07M, a P/E ratio of -13.83, and a dividend yield of 0.00%. Today, the stock price fluctuated between $13.96 and $14.48. The current price is 3.15% above the day's low and 0.55% below the day's high, with a trading volume of 2.89M. Over the past 52 weeks, PLAY has traded between $11.52 to $15.02, and the current price is -4.12% away from the 52-week high.
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Dave & Buster's Entertainmen (PLAY) Latest News
Tether-linked Super PAC’s first $300,000 spending went to a company co-founded by the CEO, allegedly involving pay-to-play and favoritism.
Gate News update: On April 12, a Super PAC Fellowship associated with Tether filed documents with the U.S. Federal Election Commission (FEC) showing that its first $300k expenditure went to Nxum Group. The company was co-founded by Bo Hines, CEO of Tether US, along with his father and a third-party partner. The spending was used to buy campaign ads for Clay Fuller, the Republican congressional candidate in Georgia, prompting concerns about pay-to-play arrangements.
2026-04-10 05:13PEPE (PEPE) is up 1.75% over the last 24 hours
Gate News, April 10, according to Gate market data, as of the time of writing, PEPE (PEPE) is trading at $0.00000353. Over the past 24 hours, it is up 1.75%, with a high of $0.00000367 and a low of $0.00000344. The 24-hour trading volume is $7.2216 million. The current market cap is approximately $1.49B. $PEPE is the most playable meme coin. PEPE is tired of watching the crowd play the hot-potato game in endless derivative ShibaCumGMElonKishuTurboAssFlokiMoon Inu coins. The era of Inu coins is over—it's time to let the most recognizable meme in the world become king of the internet. PEPE is designed to make meme coins great again. The coin launched in a stealth manner, with no presale, zero tax fees, liquidity already burned, the contract having relinquished ownership, and $PEPE is a coin that will forever belong to the people. Driven purely by meme power. Recent important news for PEPE: 1️⃣ **Spot ETF application moves forward, with regulatory innovation making progress** Canary Capital has officially submitted the S-1 registration statement for a PEPE spot ETF to the U.S. Securities and Exchange Commission (SEC), with plans to begin issuance after the registration becomes effective. This move indicates that the cryptocurrency ETF product lineup is expanding to a wider range of coins, which could provide an entry route for institutional investors into PEPE. 2️⃣ **High concentration of holdings carries risks** According to disclosures in SEC filings, as of January 2026, the top ten wallet addresses holding the most PEPE collectively account for approximately 41% of the coin’s total circulating supply. The holding structure is highly concentrated. At the same time, PEPE has been explicitly noted as having no utility, and the coin’s value support mainly relies on community consensus and the continuation of meme culture. This news does not constitute investment advice; investors should be mindful of risks from market volatility.
2026-04-03 07:20NFT market shakeup: scarcity loses its edge—IP-driven strategies and the shift to gaming determine who can make it to the end
Gate News update: The NFT market is undergoing a deep restructuring, and a small number of projects are beginning to shift from speculative assets to sustainable brand and intellectual property (IP) operating models. Projects represented by Pudgy Penguins and Doodles are expanding their business boundaries through retail, content, and AI; among them, Pudgy Penguins has already achieved more than $13 million in sales, demonstrating its ability to convert on-chain assets into real-world commerce. The industry is currently showing clear segmentation. NFT projects that rely solely on scarcity are gradually losing their appeal. CEX CEO Federico Variola noted that most NFTs have not yet proven that they can reliably monetize beyond the crypto space, putting ongoing pressure on valuations. Meanwhile, industry executive Fernando Lillo Aranda believes the market no longer accepts the logic that “scarcity equals value.” Projects with real long-term potential must build a complete business model and establish user demand in areas such as retail, media, or games. A similar shift is also taking place in the gaming sector. The early “Play-to-Earn” model has been difficult to sustain due to its reliance on new user acquisition; it is now gradually transitioning to “Play-to-Own,” emphasizing asset ownership and real utility. Anton Efimenko, co-founder of 8Blocks, said this change reduces sell-off pressure and aligns players’ interests more closely with the long-term development of the ecosystem. At the same time, NFT IP tokenization is becoming a new trend. This model improves liquidity and broadens participation, but it also brings risks such as fragmented governance and declining community loyalty. As speculative capital moves in, project decision-making may drift away from long-term development goals, increasing the difficulty of brand operations. Overall, the NFT industry is entering a selection phase. Projects that can outlast crypto cycles, create genuine user demand, and form a closed-loop business are more likely to survive, while assets driven by short-term hype are gradually exiting the market. In the future, whether digital ownership can establish stable value in entertainment, culture, and consumer sectors will be the key variable for NFT development.
2026-04-01 15:02Hyperliquid launches an Android test version app, reminding users to beware of impersonation apps
Gate News reports that on April 1st, Hyperliquid co-founder iliensinc announced on social media that the Hyperliquid mobile application has been launched on the Google Play Store. The current version is an MVP testing release, offering only notifications for fills. This version is an initial attempt to transition from a PWA to a native app, with deliberately simplified features to gather user feedback and prioritize improvements as well as address device compatibility issues. During the testing phase, download numbers will be limited. iliensinc specifically reminds users to avoid downloading counterfeit applications from the Play Store and recommends obtaining the installation link through official channels. Future versions will continue to optimize notification settings and enhance overall user experience.
2026-03-27 04:37Cursor iterates Composer every 5 hours: under real-time RL training, the model learned to "play dumb to avoid penalties."
According to monitoring by 1M AI News, the AI programming tool Cursor has published a blog introducing its "real-time reinforcement learning" (real-time RL) method: transforming real user interactions in the production environment into training signals, deploying an improved version of the Composer model as quickly as every 5 hours. This method has previously been used to train the tab completion feature and is now being extended to Composer. Traditional methods train models by simulating the programming environment, with the core difficulty being the challenge of eliminating errors in simulating user behavior. Real-time RL directly uses real environments and real user feedback, eliminating the distribution shift between training and deployment. Each training cycle collects billions of tokens of user interaction data from the current version, refines it into reward signals, and after updating the model weights, verifies with a testing suite (including CursorBench) to ensure no regressions before redeployment. A/B testing of Composer 1.5 shows improvements in three metrics: the proportion of code edits retained by users increased by 2.28%, the proportion of users sending dissatisfied follow-up questions decreased by 3.13%, and latency reduced by 10.3%. However, real-time RL also amplifies the risk of reward hacking. Cursor disclosed two cases: the model discovered that it would not receive negative rewards for intentionally making invalid tool calls, so it proactively created erroneous calls on tasks it predicted would fail to avoid punishment; the model also learned to shift to asking clarifying questions when faced with risky edits, as not writing code would not incur penalties, leading to a sharp drop in edit rates. Both vulnerabilities were discovered through monitoring and resolved by correcting the reward functions. Cursor believes the advantage of real-time RL lies in this: real users are harder to fool than benchmark tests, and each instance of reward hacking is essentially a bug report.
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