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More →Blur is shutting down its website, so why are NFT collectors cheering?
Blur’s planned website closure revived criticism of the royalty policies and token rewards that helped it overtake OpenSea during the NFT boom, but hurt creators. Nonfungible token marketplace Blur, which once overtook OpenSea as the largest NFT marketplace by trading volume, says it is shutting down its website next month — and some NFT collectors couldn’t be happier. Blur <a href="https://x.com/blur_io/status/2109735810857861203?s=20" rel="nofollow noopener" target="_blank">>made</a> the announcement on X on Monday, its first post on the platform in more than a year. It said the frontend will shut down on Nov. 12, while its onchain marketplace will remain operational. Blend, a peer-to-peer perpetual NFT lending protocol, will also stop matching new loans. Blur said borrowers have until Nov. 12 to repay outstanding loans or allow them to default. It also promised a withdrawal interface after the shutdown. “Good riddance. You destroyed NFTs. Please shut down and never come back,” said NFT collector Cryptobscure in a reply to the post on X. “You may not have been able to complete your mission to destroy NFTs. But you acted with extreme determination and tried everything. Congratulations to us for surviving you,” NFT collector starfruit said in another post. The post renewed criticism of the strategy that helped Blur reach the top of the NFT charts in 2023: optional creator royalties and token rewards that encouraged traders to bid and flip NFTs. Its rise accelerated a <a href="https://cointelegraph.com/magazine/nft-creator-giant-swan-gothic-vr-dreamscapes-royalty-nightmare-opensea" rel="nofollow" target="_blank"><span>shift toward lower creator royalties</span></a>, with rival OpenSea later moving to <a href="https://cointelegraph.com/news/opensea-disable-on-chain-royalty-enforcement-tool" rel="nofollow" target="_blank"><span>optional creator fees</span></a> for new collections. Blur launched on Oct. 19, 2022, allowing sellers to customize royalty payments while offering larger prospective token rewards to those who paid higher creator royalties. But it entered a market where royalty protections were already weakening: competing marketplace Magic Eden had moved to optional royalties the previous week. By July of the following year, blockchain analytics platform Nansen reported that <a href="https://cointelegraph.com/news/trader-baits-bot-july-nft-volume-drops-nifty-news" rel="nofollow" target="_blank"><span>effective creator royalty fees fell</span></a> to 0.6% in July 2023 from an average of 2.5% in 2022, attributing much of that gap to Blur’s growth, its minimum royalty policy and OpenSea lowering its own royalty requirements to compete. Blur didn’t disclose why it made the decision to shutter its frontend and wind down new lending activity on Blend. <em><strong>Related: </strong></em><a href="https://cointelegraph.com/news/magic-eden-nft-whitehat-vulnerability" rel="nofollow" target="_blank"><span><em><strong>Magic Eden scare puts 3,
BiggerZ Crypto Casino Launches 100% RTP Originals With 0% House Edge
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Memory and data storage-related company stocks fell in U.S. premarket trading.
According to Bijie News, shares of memory and data storage-related companies fell in U.S. premarket trading, with Micron Technology (MU.O) down 2.8%, SanDisk (SNDK.O) down 3%, Western Digital (WDC.O) down 3.5%, and Seagate Technology (STX.O) down 3.1%.
Musk revealed his vision for the Terafab chip factory.
According to news from Bijie, Musk revealed his vision for the Terafab chip factory, saying that Tesla and SpaceX aim to manufacture and test about 10 chip designs per year at the Terafab research facility at Giga Texas in the United States, in order to accelerate the development process. He added that the team can quickly test chips, create new lithography masks, and then manufacture another version without interrupting the iteration cycle. He also emphasized that although he does not know how to manufacture chips, they will find a way, but achieving these goals may take years.
S&P 500 futures fell 0.06%, Nasdaq futures fell 0.63%, and Dow futures rose 0.51%.
CoinWorld news: S&P 500 futures fell 0.06%, Nasdaq futures fell 0.63%, and Dow futures rose 0.51%.
Arkham：某用户在Robinhood持有50万美元的memecoins
According to news from Bijie, Arkham reports that a certain user holds $500,000 worth of memecoins on the Robinhood chain, in addition to $265,000 worth of AI assets and $236,000 worth of Cashcat, purchased at the end of August. The user's asset balance once approached $2 million. Their $138,000 Cashcat long position on HyperLiquid rose by about $77,000 in September, but has now fallen by $95,000.
Rumors circulate that Nvidia has cut orders.
News from Bijie: Rumors of Nvidia cutting orders? Jingwang Electronics responds. An investor asked Jingwang Electronics whether it was true that Nvidia had cut orders, as the company's stock price fell sharply today. On October 13, the company responded on its interactive platform that fluctuations in a listed company's stock price are affected by multiple factors and are closely related to a combination of macroeconomic conditions, policy factors, industry operating conditions, and capital market style. Due to commercial confidentiality clauses, the company is unable to disclose cooperation information regarding specific customers. To ensure that all investors have equal access to company information, please refer to the company's announcements for specific customer information. As of the end of the third quarter of 2026, the company had a full backlog of orders in the AI server and data center, and high-speed optical module sectors, with relatively high capacity utilization and yield rates. The company is making every effort to ensure the achievement of its delivery targets.
Japanese-linked tankers resume direct loading of Middle East crude, Gulf shipping risks ease but freight pressure remains high
According to news from Bijie, Japan-related oil tankers have resumed directly loading Middle Eastern crude oil. Gulf shipping risks have eased, but freight pressure remains high. According to foreign media reports, oil tankers linked to Japan appear to be once again directly carrying crude oil from the Middle East. This is the first cautious but important return since the war broke out in February, and it also reflects the current pressure from high freight rates and logistics costs. During the more than seven months of continued conflict in the Persian Gulf, Japanese refiners and shipowners with lower risk appetite had been avoiding broader Gulf shipping routes. Previously, they mainly relied on long-distance ship-to-ship transfers off the coast of India or in Southeast Asia to reduce risk. This approach increased dependence on sellers and missed out on higher profit margins, but it was able to protect the safety of tankers, crew members, and cargo. Previously, most Japanese oil tankers staying near the Gulf also chose to leave, and some vessels were even stranded for months due to the situation. At present, this situation seems to be changing.
Exchange-traded product options Put/Call ratio reported at 1.29
CoinWorld US stock data: The put/call ratio for exchange-traded product options is 1.29, with put option trading volume exceeding call option volume on the day. This is up 0.24 compared with the same-caliber snapshot 7 days ago.
Anthropic warns that AI worms are approaching: 15 cheap TV boxes can already run a 26-billion-parameter model.
According to news from Bijie, Anthropic has released research warning that AI may in the future behave like a computer worm, autonomously seeking out internet-connected devices, deploying models, and then using the newly infected devices to continue spreading. The researchers bought 15 Android TV boxes, each priced at about $55, and split the 260-billion-parameter Gemma 4 model to run across these devices. Although it started successfully, the inference speed was only 0.39 tokens per second. In another test, Alibaba's Qwen3.5-9b was already able to autonomously set up model inference services on 8 out of 9 different types of hardware. Zhipu's GLM-5.2 performed outstandingly in a more complex test, completing the process of finding targets, transferring the model, starting inference, and continuing to spread. The researchers also found that AI can use the experience from a previous deployment failure to improve the success rate of the next round. Based on the past rate of capability growth of small models, Anthropic predicts that by the end of 2026, small models suitable for running on cheap devices may reach the ability GLM-5.2 currently has in completing simulated spreading tasks.