October 2025 Summaries

The Venice Incentive Fund, launched earlier this year to support builders using their API, received an overwhelming response with over 110 applications from developers, founders, and creators interested in integrating and developing new use cases for private, uncensored AI. Cohort 1's feedback highlighted the need for clearer selection criteria, more frequent communication, and a well-defined target audience, leading to improvements in Cohort 2, which will launch alongside Venice v2. This new round will feature a structured process with transparent timelines and criteria, offering DIEM token loans for subsidized API access and milestone-based VVV bonuses of up to $25,000. The program emphasizes execution, rewarding projects that meet specific milestones with priority consideration for further funding. A community-led extension of the fund is also being considered, aiming to allocate resources for projects chosen by the community. Cohort 2 is designed to support builders who aim to create impactful projects within the Venice ecosystem, leveraging private AI infrastructure, with application dates to be announced following the launch of Venice v2.

Venice has introduced a seamless web scraping feature across its platform, allowing users to include URLs in API requests or messages for automatic content extraction and integration into model responses. This process requires no additional setup and ensures data privacy, enabling users to obtain content directly from specified sources without relying on search algorithms. The feature supports all models and offers a usage-based pricing structure beginning October 30th, with costs varying depending on the model used. Web scraping is particularly useful for accessing specific documents, verifying claims, monitoring competitor changes, and processing new content, although challenges like paywalls and JavaScript rendering may affect content retrieval. The service allows up to three URLs per request to prevent latency issues, and failed scrapes do not disrupt the overall request, though charges apply for incomplete extractions.

Venice has launched a new video generation feature for all users, allowing them to create videos using both text-to-video and image-to-video models, including advanced options like OpenAI's Sora 2 and Google's Veo 3.1. These models offer varying levels of privacy, with private models ensuring end-to-end privacy and anonymized models providing high-quality results while protecting user identity through anonymity. Users can create videos by describing scenes in text or animating existing images, with customizable settings for video length, aspect ratio, and resolution. The platform operates on a credit system called Venice Credits, which can be replenished through daily DIEM stakes, direct purchases, or USD balance, and credits are only charged for successful video generations. Venice also provides detailed tips for users to craft effective prompts that result in high-quality, compelling videos, encouraging a balance between detailed direction and creative freedom for the AI models.

Automating an Instagram workflow using Venice AI and N8N can streamline content creation, transforming the process of generating images, writing captions, and publishing posts into a hands-free operation. The setup involves several key tools: N8N for workflow orchestration, Venice AI for generating on-brand visuals and captions, Cloudinary for image hosting, and the Facebook Graph API for publishing to Instagram. Users can create a brand knowledge base in Google Docs to guide the AI in maintaining brand consistency. The workflow, which operates automatically every day at 9 a.m., consists of five steps: generating content ideas, creating and hosting images, writing captions, and publishing posts. By staking the Diem token, users can reduce ongoing API costs to zero, making this setup cost-effective after the initial investment. Venice AI's compatibility with OpenAI integrations and its decentralized nature further enhance its appeal for users seeking a robust and private automated content pipeline.

Venice is preparing to launch Venice V2, an enhanced version of its platform, which will include new features like video generation through text-to-video and image-to-video capabilities, supported by a credit system for scalable usage. The platform is expanding its vision by integrating video generation models, though privacy is partially maintained as generations are anonymized but not fully private. In parallel, Venice is also focusing on improving its tokenomics by reducing VVV token emissions from 10 million to 8 million annually and introducing a buy-and-burn mechanism to align the VVV token more closely with the company's growth, fostering a deflationary model. The ongoing integration of VVV into Venice's business aims to create a virtuous cycle of increased revenue leading to more token burns, ultimately benefiting the token holders, and these changes are set to occur in the upcoming months, signaling significant updates and a strategic shift in Venice's approach to both product development and financial mechanisms.