I never clicked a video so fast .. With Augmented Canvas AI and now this, my vault will be complete. Thank you

very interesting. Would you consider making a free version of infranodus? Maybe without LLM integration and with a word limit on the input text...

Make it on the freemium model. Liberate it.

Best news of the day 🎉

Looks nice but use less

Good Day. Question. Is it possible to connect InfraNodus to a code database infrastructure like for eg: let's say someone built an App and Infranodus happens to have access to the code infrastructure and repository. Is it possible for a user to stimulate the InfraNodus application in thinking about potential ways to improve on existing code infrastrucure. Let me break it down a bit more.. I think AI tools like ChatGPT 4o is good at writing code but not in a way where it is always suitable for production level deployment. I believe Infranodus would serve well in enabling professional software developers to see how the AI develops its thinking around solving code bugs and in making improvements by working on the gaps that might exist in the neural connections in ChatGPT and other LLMs. Is it possible for Infranodus to pick up on gaps in where the LLMs might go wrong with thinking about a code logic/recommendation, make new, creative connections on the LLMs extensive knowlege base, potentially apply those lessons to the existing code infrastructure for improvement?

Brilliant idea and brilliant product. I subscribed to the Advanced annual plan with the 50% lifetime discount. Actually an amazing deal. Keep going

beautiful!

Amazing stuff! I was hoping something like this might come along.

I can't wait to start using this software. I love the visualization and interdependence of ideas and concepts and the melding of information, research and AI. I just started a Obsidian research project personally that is going to be a deep theological study into the meta narrative/doctrines using AI.

Timestamps: 00:00:00 - Introduction to a new InfraNodus Obsidian plugin for advanced network visualization 00:01:09 - How to analyze the content of your Obsidian pages using the InfraNodus plugin 00:02:49 - Jumping between your Obsidian notes to see a network of concepts around any idea 00:03:40 - Generating AI summaries and identifying key ideas using InfraNodus 00:05:14 - Hiding the most obvious ideas to reveal latent topics in your content 00:05:50 - How InfraNodus is different from other graph views 00:07:19 - Utilizing InfraNodus to explore connections and gaps between ideas 00:11:04 - BONUS: Installation instructions for Obsidian InfraNodus plugin 00:13:47 - Let us know if you have any feedback! Timestamps created with the InfraNodus browser extension for KZbin: infranodus.com/extension

Can it summarize my PRIVATE youtube videos? if not, can I upload a video file to your site and summarize what it contains?

awe-inspiring 😍😍

this is amazing through we need to pay for the same

He should speak faster.

00:02 Using InfraNodus to analyze Twitter conversations about Biden v. Trump 2024 01:51 Analyzing specific clusters of information in Twitter using InfraNodus 03:46 Analyze and compare tweets about Biden from the people and Biden himself 05:37 Analyze Twitter content to understand trends and focus areas 07:30 Analyzing Twitter data for election insights 09:36 Using word pairs to gain insights into election conversations 11:26 Analyzing Twitter using InfraNodus reveals underlying ideas through graph restructuring 13:05 Using InfraNodus to reveal underlying ideas and bring cohesion to graph 14:59 Explore connections between big ideas with clarity

Может ли ваш продукт?: 1. прочитать 600 страниц текста 2. найти первые 1-3 предложения или последние 1-3 предложения в каждом абзаце со всех 600 страниц 3. провести риторический анализ этих предложений 4. предоставить список предложений вместе с риторическим анализом этих предложений 5. сделать так много много раз за день

"InfraNodus offers unique capabilities that can significantly enhance the performance and functionality of AI agents. By leveraging its text network analysis and visualization features, AI systems can gain deeper insights and make more nuanced decisions based on complex textual data. Key applications of InfraNodus for AI agents include: Knowledge Representation: AI agents can use InfraNodus to create dynamic knowledge graphs, representing information as interconnected concepts rather than linear text. This allows for more flexible and context-aware reasoning. Contextual Understanding: By visualizing relationships between ideas, InfraNodus helps AI agents better grasp the context and nuances of information, leading to more accurate interpretations and responses. Idea Generation: The tool's ability to identify structural gaps in discourse can be leveraged by AI agents to generate novel ideas or hypotheses, enhancing creative problem-solving capabilities. Natural Language Processing Enhancement: InfraNodus's text network analysis can augment traditional NLP techniques, providing additional layers of semantic understanding and topic modeling. Bias Detection: AI agents can utilize InfraNodus to analyze the structure of discourses, helping identify potential biases in training data or decision-making processes. Multi-source Integration: The tool's ability to process diverse input sources allows AI agents to synthesize information from various channels, creating a more comprehensive understanding of complex topics. Adaptive Learning: By analyzing the network structure of new information, AI agents can more effectively integrate it into existing knowledge bases, facilitating continuous learning and adaptation. Explainable AI: The visual representation of text as networks can serve as a powerful tool for explaining an AI agent's reasoning process, enhancing transparency and trust. Sentiment Analysis: InfraNodus's sentiment analysis capabilities can be integrated into AI agents to provide more nuanced understanding of emotional contexts in text data. Research Assistance: AI agents equipped with InfraNodus can assist researchers by rapidly analyzing large volumes of literature, identifying key themes, and suggesting unexplored areas for investigation. By incorporating InfraNodus into their architecture, AI agents can move beyond simple text processing to gain a more holistic, network-based understanding of information. This approach aligns well with the complex, interconnected nature of real-world knowledge and can lead to more sophisticated and context-aware AI systems."

добавьте в описание к видео ссылки на скачивание приложения. Укажите на каких ОС приложение запускается.

Ready to train an AI on your entire digital history, enabling it to know you better than anyone ever could?

@Nodus Labs Such an awesome tool, how long did it take you to go about conceive , scope, build and test before you released it?

why you call neural net , AI? check the definition of AI. Image generating is are simple neuro nets, and nothing else!

MAKE A TUTORIAL VIDEO FOR PHD RESEARCH.

MAKE A TUTORIAL VIDEO FOR PHD RESEARCH.

MAKE A TUTORIAL VIDEO FOR PHD RESEARCH.

The fact that I’m using ChatGPT for midjourney prompts makes me think you’re targeting algorithmic trends on my KZbin feed. I’ve been trying to make perfect prompts for my images and this source is useful. Thank you 😂🖤

Nice, given me some ideas thanks. I think image generation. Inside infranodus would be great, cuts down the workflow

Feeding the ai with Tolkien to make images would be extremely interesting

ATTENTION: We now have an Obsidian plugin! If you'd like to test it out, please, contact us via support.noduslabs.com

Good day, i meant to confirm for all this tools are they limited to chatting to one document only what about to more than one but in a folder, and also disclosing the source doc and page numbers?

Timecodes: 00:00:12- Introduction to analyzing spreadsheet data with AI-powered knowledge graphs for enhancing video engagement. 00:01:25 - Strategies for increasing likes per view as a success indicator. 00:02:59 - Importance of video titles in KZbin’s recommendation algorithm. 00:04:10 - Visualizing the relationship between video content categories and viewer engagement. 00:05:21 - Analysis reveals high engagement with AI, graph analysis, and KZbin-related content. 00:06:33 - Lower engagement found in technically complex topics like text network analysis. 00:07:44 - Insights on content strategy based on engagement data and KZbin promotion trends. 00:08:55 - Concluding with a guide on creating and analyzing CSV files for content optimization.

amazing!!! keep the good work

Here's a ChatGPT summary: - The video demonstrates how to use data visualization and ChatGPT to develop ideas iteratively in short fragments. - The app used is called InfernoDuce, which helps in AI ideation. - Users start by inputting a topic of interest, such as "heart rate variability." - The app provides definitions and explanations, which can be saved to a graph for further development. - The user can select terms on the graph to generate content related to specific ideas. - The app helps link ideas like emotional resilience and heart rate variability. - The user can manually query ChatGPT for deeper insights and more accurate information. - The app allows for elaboration on statements to develop ideas further. - The graph visually shows the development of discourse in new directions. - The user can zoom out to see high-level ideas and identify missing elements. - The app encourages focusing on technical aspects and generating questions to explore further. - The user can save interesting ideas to notes for further research. - The app highlights gaps between different ideas in the network, prompting the user to generate connections. - The user can iterate through ideas, saving useful content and refining questions. - The app helps create a comprehensive and coherent mind map of ideas. - The measure of topical diversity indicates how focused or dispersed the ideas are. - Main message: The combination of data visualization and ChatGPT in InfernoDuce allows for iterative, focused idea development, helping users create comprehensive and coherent content.

Will this be locally run?