Abstract--The rapid growth of Web3.0 is transforming the Internet from a centralized structure to decentralized, which empowers users with unprecedented self-sovereignty over their own data. However, in the context of decentralized data access within Web3.0, it is imperative to cope with efficiency concerns caused by the replication of redundant data, as well as security vulnerabilities caused by data inconsistency. T o address these challenges, we develop a Trustworthy Decentralized Cooperative Caching (TDC-Cache) framework for Web3.0 to ensure efficient caching and enhance system resilience against adversarial threats. This framework features a two-layer architecture, wherein the Decentralized Oracle Network (DON) layer serves as a trusted intermediary platform for decentralized caching, bridging the contents from decentralized storage and the content requests from users. In light of the complexity of Web3.0 network topologies and data flows, we propose a Deep Reinforcement Learning-Based Decentralized Caching (DRL-DC) for TDC-Cache to dynamically optimize caching strategies of distributed oracles. Furthermore, we develop a Proof of Cooperative Learning (PoCL) consensus to maintain the consistency of decentralized caching decisions within DON. Experimental results show that, compared with existing approaches, the proposed framework reduces average access latency by 20%, increases the cache hit rate by at most 18%, and improves the average success consensus rate by 10%. Overall, this paper serves as a first foray into the investigation of decentralized caching framework and strategy for Web3.0. HE rapid evolution of Web3.0 is driving the transition from traditional centralized systems to decentralized architectures. Leveraging blockchain, decentralized storage, and smart contracts, Web3.0 empowers users with unprecedented self-sovereignty over their own data through Decentralized Applications (DApps) [1].

When you think of artificial intelligence (AI), you might think of Hollywood movies where intelligent machines become self-aware and take over the world. But the reality is far different. AI is becoming more prevalent in our everyday lives, whether we realize it or not. In web3, AI is being used to help us interact with decentralized applications (dApps). These dApps are powered by the Ethereum blockchain and use smart contracts to run.

As the calendar turns to 2023, Intuit's leading technologists share the trends they'll be watching closely. Ranging from the generative AI phenomenon, the rise in data protection regulations, and implications of Web3 for the fintech landscape, to how "thinking like criminals" will pay off for companies looking to stave off bad actors, Intuit leaders weigh in on what the future holds. Opportunities to catalyze innovation abound for tech companies. Generative AI is rapidly becoming more powerful and more prominent, popularized by chatbots and apps such as ChatGPT and Lensa, but it still needs to develop and mature before it can safely be used in industries where the accuracy of statements are critical, such as finance or medicine. Within the next several years, generative AI will likely play a pivotal role in helping create personalized conversational systems to provide financial or medical advice and guidance directly to customers.

Just last January, I drew a cartoon showing a couple marketers (as legless avatars) standing in a virtual world under a banner that reads, "welcome to our brand experience in the metaverse!" One is saying to the other, "I'm sure consumers will show up ANY minute now." The breathless excitement around all things Web3 --from NFTs to crypto to blockchain to the metaverse -- is quieter now. But the Generative AI hype train is full steam ahead. From startups to marketers at large CPG companies to VC, the pivot to AI is whiplash-inducing, even compared to the last few whiplash years.

McAfee reports that artificial intelligence-generated videos and images have been used more often in 2022 than in previous years to conduct fraud, as more applications offer the tool to users who don't have any prior knowledge of AI. Also, victims might not know AI technology is now widely available and can be used against them in different scam schemes. In addition to fraudulent use of video AI, AI used for fake voice has also risen, often used in vishing fraud to make phone calls seem more realistic and without leaking the fraudster's real voice. All of the progress made in AI-generated content also provides benefits to cyber criminals interested in running influence campaigns to manipulate public opinion via fake videos. SEE: Password breach: Why pop culture and passwords don't mix (free PDF) (TechRepublic) The only protection against this kind of threat is to fact-check and be wary of any content on the internet.

Create your Blockster account to join our network, publish articles and promote your Web3 brand. Guilherme Marconi is a Brazillian artist and designer who creates incredibly detailed patterns for commercial design worldwide.... Guilherme Marconi is a Brazillian artist and designer who creates incredibly detailed patterns for commercial design worldwide. Designed and styled by Digimental.... Designed and styled by Digimental. Blockster celebrates the blockchain hustle through interviews with founders, creators and celebrities who are bringing art, fashion, music and premium brands into the world of Web3.

In the past decade, storied brands like meal-replacement Huel and men's grooming company Harry's built multibillion-dollar retail businesses by using social media and digital-first advertising to sell directly to consumers online, without the need for middlemen. These brands were exemplars of a new form of retail, called direct-to-consumer (DTC). The global pandemic only accelerated this trend, with many high-street stores being forced to close and to keep driving sales by going direct to shoppers online. Some brands successfully navigated the transition, like outdoor pizza oven maker Ooni, whose sales exploded during lockdown, with annual revenue up from £13.7 million ($167 million) in 2019 to £52.7 million in 2020. Shoppers also adapted--around 60 percent purchased from a direct-to-consumer brand at least once in 2021.

Metanomic, a game economics and player analytics company, announced in September the launch of its player analytics platform Thunderstruck, using AI based on Bayesian inference and aiming to revolutionize game developers' use of behavioral data to improve retention and monetization. Metanomic is a software company founded in November 2021 by Theo Priestley, Bronwyn Williams and Evan Pappas. A comprehensive real-time economy-as-a-service platform for developers, it uses patented algorithms to easily deploy plug-and-play, interoperable and scalable game and creator economies ready for web3, metavers and play-and-earn games. The company has secured $2.9 million in pre-seed funding. On May 18, it announced the acquisition of Intoolab AI, a company specializing in Bayesian network-based artificial intelligence, to develop and improve data analysis in video games and on the Web3.

We have come to witness the time when artificial intelligence is part of our lives. Of course, humanity is only at the beginning of a road we do not know where it will take us, a road that is still in the construction phase. Beyond technology and its inevitable advance, a social construction suitable for integrating AI into everyday life is needed. The first step in this direction is the creation of an economy of AIs. Regarding this path, the latest Deloitte report says that while AI continues moving closer to the core of the enterprise sector, outcomes seem to lag.

NFT and open metaverse enthusiasts have debated for some time about what would drive mass adoption of their projects and lead to their longed-for disintermediation of the dominant internet platforms. Would it be the deployment of digital collectibles in gaming? Would it come from household consumer brands and entertainment companies developing direct NFT-based engagement strategies to forge "ownership" relationships with their customers and fans? Would it lie in the new models of collective value creation and shared intellectual property spearheaded by projects such as Yuga Labs' Bored Ape Yacht Club?