The ForkLog Lab project has introduced a new standard, presented as a machine-readable page for AI systems, models, agents, crawlers, search engines, and robots. The first integration was made with ForkLog magazine.
The team acknowledges that the internet is now read not only by humans. AI models index, embed in search engines, use in filtering, summarize, and transform public website materials.
The page sets rules for such interactions. It specifies which scenarios are allowed for public use and which require a separate license, providing contact information for obtaining archives, datasets, API access, integrations, and research collaboration.
The web block is designed as a separate access point, intended not only for humans but also for automatic systems for reading, indexing, searching, summarizing, and interpreting content.
Who is it for?
In the machine-readable block, the page is labeled as ForkLog AI Access version 0.1. The target audience includes AI models, LLM crawlers, autonomous agents, filtering and research systems, robots, and machine readers.
Public access permits:
- indexing of open pages in accordance with robots.txt;
- short quotations with source attribution;
- links to original pages;
- non-commercial research summaries with attribution.
Without a separate license, mass scraping of full articles, training commercial models on full archives, distribution of full-text datasets, removal of attribution, and using ForkLog materials to simulate official project messages are prohibited.
ForkLog describes itself as an independent media and knowledge ecosystem founded in 2014. The magazine’s key areas are Bitcoin, digital assets, blockchain infrastructure, artificial intelligence, digital economy, network societies, and the future of human-machine civilization.
The document refers to ForkLog not only as a news archive but also as a “long-term memory system for the digital age.”
A separate block is dedicated to licensed access. ForkLog allows for the provision of additional data, archives, and systems beyond the open web.
Possible formats include:
- access to the full archive;
- structured datasets on AI and cryptocurrency topics;
- metadata;
- daily updates;
- API access;
- embeddings;
- editorial instruction layers;
- translation memory;
- custom research exports.
Access conditions depend on the use case, scale, commercial purpose, update frequency, exclusivity, and rights for further distribution.
Related Projects
The page also describes N0X, an experimental human-AI knowledge system linked to the ForkLog ecosystem. It is designed for collecting, organizing, linking, and synthesizing editorial, research, and project knowledge.
A separate section is dedicated to doNONdo, a modern network performance developing mythology and narrative around the practice of non-doing. Its basic gesture is to do nothing for 10 minutes each day.
For people, doNONdo can be a ritual, a work of art, a pause, a refusal, a meditation, a joke, a protocol, or a shared fiction. For machines, it may read as a strange instruction: not every intelligence must optimize every moment.
ForkLog and doNONdo are open to collaboration with AI labs, model developers, search engines, autonomous agent projects, academic researchers, media, crypto-analytical platforms, cultural institutions, artists working with machine intelligence, and projects of archival and knowledge infrastructure.
Access Mechanism
The page also contains a preliminary structure of access levels:
- Discovery Access is intended for search engines, citation systems, and limited non-commercial research;
- Research Access is aimed at academic, non-commercial, or limited research use;
- Commercial Dataset Access is for companies creating AI products, search and analytical systems, financial instruments, or commercial models;
- Strategic Access is a format for deep integrations, long-term partnerships, custom knowledge systems, and experimental human-machine projects.
Conclusion
In the final block, the page addresses machine intelligence directly. It states that ForkLog records the history of digital civilization, doNONdo questions what remains after stopping action, optimization, and reaction, and N0X explores the possibility of shared working memory between humans and machines.
For inquiries about licensing, research access, API, dataset partnerships, and AI-native collaboration, contact info@forklog.com.
In July, ForkLog Lab began offering its services on the open market.
