# January 25 ๐ŸŸข Community Call Summary ![reta (61) (1)](https://hackmd.io/_uploads/rkaMm9L9p.png) ## Cybergraph The cybergraph is growing! In the past two weeks, we observed 60 active [neurons](https://cyb.ai/oracle/ask/QmdMpob193Veguqs7sHppBtMpUYv3h1JTPKdcMeTyKpUGh) generating a significant number of [cyberlinks](https://cyb.ai/oracle/ask/QmUmJLtq5nGoSZ5NHDnJ8tM93BV6d7JysfofYxNKXCSWBe)... over 600,000 cyberlinks were created during this period, nearly doubling the total amount of cyberlinks within the network. ![25.01.2024](https://hackmd.io/_uploads/ryJt8sL9T.png) This surge was almost entirely led by [CyberAcademy](https://cyb.ai/@cyberacademy) with the addition of 583,194 cyberlinks. [Cicada](https://cyb.ai/@cicada) added the second most significant amount with 13,674 cyberlinks, followed by [Mcmerritt](https://cyb.ai/@mcmerritt) with 2,966 cyberlinks and some unknown neuron with 1,890 cyberlinks. ![cyberlinks](https://hackmd.io/_uploads/Hy6rIjI5p.jpg) Cyber Academy has begun the project of linking WIkipedia articles into the graph, one of the simplest and apparent usecases of the cybergraph. The approach involves breaking down information into smaller, more atomic chunks which is an advantageous direction in term of traversing teh graph efficiently. This method aligns well with the fundamentals of how AI operates, focusing on a manageable amount of tokens for effective learning and knowledge retrieval. The relevance machine's ability to rank the importance of these pieces adds another layer of sophistication and to the knowledge graph. This is an exciting development in enhancing the network's learning capabilities. The updated karma statistics reveal that [Cicada](https://cyb.ai/@cicada) currently holds the leading position, followed by [MasterCyb](https://cyb.ai/@mastercyb) and [CyberAcademy](https://cyb.ai/@cyberacademy) respectively. ![4](https://hackmd.io/_uploads/ByryPo8c6.jpg) ## ะกyb ### Sense The [Sense application](https://deploy-preview-1083--rebyc.netlify.app/) continues to inspire with its [progress](https://github.com/cybercongress/cyb-ts/pull/1083). The combination of a simple-looking messenger interface coupled with the powerful backend and [graph database](https://www.cozodb.org/) for fast information retrieval is something that the current marketplace has not seen. The ability to provide sophisticated, nearly real-time notifications for public communication on-chain will turn into one the core features of cyber, we are sure. This kind of innovation contributes significantly to enhancing the user experiences and interactions within the ecosystem. ![sense](https://hackmd.io/_uploads/rkEUYjd56.png) Essentially, the idea is to present all incoming information in a Telegram-based or messenger-based style. You can filter all incoming messeges to just those from people you follow. Clicking on specific avatar categories will reveal three data types: - Messages sent to each other using the MEMO message of Cosmos SDK. - Tweets from your friends/people you follow. - Tweets from who your friend is following. Conveniently, the most important information relevant to the user is aggregated here. The information from these three streams will be displayed differently to provide more clarity. Other essential information for the development of the cybergraph cuurently involves a significant problem. Communication on links is limited, meaning, you can't communicate on the links you create. You learn something, and it disappears in the graph. If someone finds it later, you may never know what happened with important topics you want to follow. The solution to this is simple. If you tweet something, you automatically start to follow it. All incoming and outgoing particles will be displayed as threads of your tweets. It's a straightforward and convenient decision to ensure the interconnectedness of communal information. When you tweet something, your friends see the content in the direct communication channel. Following this discussion breaks down the wall between public and private communication. Believing in the idea that action and all information should peer during communication, this approach organically handles knowledge. You can chat with someone, and your tweet automatically appears in your brain, forming a closed loop of on-chain cybergraph communication. ![image](https://hackmd.io/_uploads/rJlYkdfq6.png) ## Developing Prototypes Developing clickable prototypes using Figma revealed the need to copy and paste everything onto a single page, resulting in ambiguous mockups where distinguishing truth from falsehood became challenging. Facing the same need due to Figma's lack of ability to crosslink mockups across different pages, we concluded that Figma did not align with our objectives, considering the complexity of cyb development spanning around 50 pages with varying statuses. In search of a better tool, Sketch, a platform used for several years prior to our figma based collaboration, offered impressive features, including overlays that simplify the creation of clickable mockups and give a more software-like appearance. Thus, the migration process, currently demanding significant effort, involves transferring all components to the new software, with an anticipated timeline of roughly a month or so for this intensive task. This transition allows us to refine components and elements, resulting in a more clear, simple, and manageable mockup system tailored to our specific needs. Genuinely excited about reaching this milestone, the understanding is that achieving scalable design is nearly impossible with some proprietary tools. An added benefit of using Sketch is its open-source file format, enabling the contribution of data to the open-source community, adding another layer of value to the movement. ## Collaboration Regarding community development, I've observed that there's no one here who can translate these ideas, but many individuals understand a lot of what's happening on this side. We've discovered a team that excels in creating a deep link project, and they are available. The new our idea is to collaborate with highly skilled technical team to build a associative model of computation for graph-based data. We met the [Deep Foundation](https://deep.foundation/) team about a week ago and are very excited about the potential collaboration. As a result, we've launched a deep chain during hackathon in Moscow. During this event, the focus was onintegration of cybergraph with deep linking platform and the launch of the deep chain. We've already showcased the chain, which is launched using Cyber SDK. It's important to note that this is an independent team that made the decision to collaborate because they found interesting properties in the cybergraph and the relevance machine learning aspects that are beneficial for the projects they want to pursue. We aim to share more details about our collaboration as we put them all in the teleport, build bridges, and integrate with cyb. Currently, we have a third independent chain actively working in the field of AI superintelligence. This development adds another layer of diversity and innovation to our ecosystem. ![image](https://hackmd.io/_uploads/r1skOuMqT.png) ## Join our community! ๐Ÿ“ข Don't forget to join our community! Follow us on [Discord](https://discord.gg/ARwv74ZyGH), [Telegram](https://t.me/bostrom_news), and [Twitter](https://twitter.com/cyber_devs) for the latest updates and discussions. Let's build a connected and informed community. Create [cyberlinks](https://cyb.ai/) and [contribute](https://github.com/cybercongress) to the network! See you there!