The AI craze triggered by ChatGPT this year has set off a new narrative exploration of the combination of Web3 and AI. At present, many Web3 projects that combine AI from various angles have emerged in the market. In fact, from my perspective, they are more like riding on the AI train to allow tokens to follow the hot spots of AI market.
There are also many old projects among them. Can we say that they do not apply AI elements? That is not true, but if we completely exclude them, they do use AI-related technologies.
Verasity is a protocol that combines its original business with AI. In the past, it was benchmarked against streaming businesses such as $THETA , but it has entered the advertising business more vertically. As a protocol and product layer in the streaming field, Verasity not only meets the basic needs of content creators, viewers, and advertisers, but also incentivizes different groups in the ecosystem by introducing token economy, which better motivates content creators to continue to create.
Its core Proof of View mechanism is the core to prevent creators and advertisers from cheating. The proof mainly has two links to support the operation:
(1) Pre-detection: Pre-detect robot account access during website loading
(2) Data collection: Collect and count real viewing data
(3) AI filtering: Screening and filtering based on AI models to evaluate whether the ad views are real and effective
(4) Distributed storage: The analysis results are distributed and stored in the back-end nodes to achieve transparency and auditing.
It is not difficult to see that one of the steps is completed based on the analysis of the AI model. This is one of the main reasons why this project will apply AI. By using AI to analyze a large amount of data from past activities, it can verify and record the views of each advertisement in real time, and distinguish whether it is a real person or a robot watching based on the user's viewing behavior. In short, it records and analyzes the viewing behavior of each user in multiple dimensions, and adjusts the bid and positioning according to the performance of each ad display, which helps to improve the relevance of advertisements and increase click-through rates.
Verasity provides a more real and reliable economic system through this POV consensus, ensuring a relatively fair business relationship, which is also a positive cycle design for real content creators. However, I have not found more ecological operations and successful cases available for viewing on its website, so I think this description based on POV is an ideal positive cycle design at this stage.
(According to public information, VeraViews has been integrated into video players on websites such as YouTube, Twitch, Vimeo, JWPlayer, Brightcove, Kaltura, VideoJS, Flowplayer and Ooyala, accounting for more than 95% of all online video players)
Its token $VRA is currently the native token of the ecosystem. In terms of supply and demand design, it is bound to its products through the "Watch to Earn" design, which sounds a bit similar to the design of watching short videos to get cash red envelopes. Users can re-stake the acquired tokens to obtain passive income, and the demand for tokens also comes from some rewards provided within the ecosystem, such as access to exclusive video content, separate ecological competition rewards, etc.
However, in terms of tokens, the most noteworthy thing is that 50% of the circulating tokens were destroyed last year. The challenge on the demand side is that, like the core tokens of most ecosystems, it is necessary to bring in more potential customers upstream and downstream. For example, it is necessary to attract more creators, advertisers, and users to join its platform in order to make the supply and demand of tokens run more benignly.
As a relatively unpopular track, I think it is difficult to follow the big sectors and wait for the market to drive it. The targets in the fields of advertising, security, etc. need the dealers to have their own independent market trends to attract the market's attention. I think advertising itself is a track that is difficult to combine with Web3. At present, I am not sure whether the addition of AI elements can drive the external market heat of the target itself.
With the arrival of a new cycle, many old projects have begun to stir up trouble in the market. The previous market argument of speculating on new rather than old seems to have cracked due to a round of decline after the listing of some new tokens. Therefore, I considered launching a new content series to pay more attention to some old projects with small market capitalization. When the historical and recent trends are OK, I will include them in the observation pool to see if there are ambush opportunities.
Verasity can also be one of the targets of this series. The details of a radar chart will be released later. Stay tuned. Thanks for reading!