I’ve been wondering what might happen if everything below collapsed into one unified AI model with self-awareness, meaning we (or at least the builders) can observe and understand what’s going on inside: - Latent spaces (compressed, low-dimensional representations that capture underlying data features) - Liquid Neural Networks (LNNs). which I started creating myself two years ago, based on MIT’s innovations - Tokenformers (which may have the potential to replace transformers) - Hybrid models (combining multiple AI techniques for greater robustness and versatility) - New lenses on paradigms - Some form of self-emergent empathy I suspect such a model could be surprisingly compact, potentially only a few million parameters and sized somewhere between 30 to 50 MB, maybe up to 100 MB. Of course, this is a rough estimate, but it’s exciting to imagine. Such models could easily run on phones without problems, and I believe they might even outperform current models like OpenAI’s and Claude’s. Let’s see how far off I am, and when this actually happens. This isn’t about reaching the end of prompting, context engineering, red teaming, or agentic AI workers—those will continue evolving. But I believe the next paradigm shifts are just around the corner. What are your thoughts on this? P.S. If you’re wondering where the research papers or articles on this are...I don’t have any to share yet. These are my own thoughts, exploring the future possibilities of AI.

Hey, I just want to give a shoutout to @Nicole M 🙌 She’s always quick to share her AI skills and genuinely wants to help others. I know a lot about AI myself, but I really admire how reliable and giving she is. If you’re interested in working with her, she’s definitely someone you can count on.

Im so sick of these folks referring to the skewed MIT study that found that the group that used AI to write their papers had less brain activity....Just venting SORRY this is click bait and you know that the study is skewed and this is a tactic to hold people back and scare them. They should have sampled a large pool and different use cases. For example: business owners, creators, or architects who use it for ideation and strategy - not using it 8 hours a day and now supplementing their research with their own thoughts, analysis, formulations, conclusions, etc.,. Just like 8 hours of screen time, doom scrolling, etc., is not good for anyone's brain neither is 8 hours of using AI mindlessly. AI is our thought partner - not a replacment for critical thinking. What are your thoughts? https://www.media.mit.edu/publications/your-brain-on-chatgpt/

Its the weekend(for us in the USA). Share your wins for the week, new learnings, insights, and what you are working on currently?👇

I think I will never going back to GenSpark.ai! Anyone tried their new internet browser? Perplexity’s Comet browser is free if you sign up for the paypal Perplexity promo(see my previous post) 👇Here's a comparison between the GenSpark and Perplexity AI browsers: Genspark AI Browser runs 169 different AI models directly on-device—including GPT, Deepseek, Gemma, and more—entirely offline, meaning no internet is required for AI features. This provides full privacy because user data never leaves the device. Perplexity Comet AI Browser leverages Perplexity’s cloud-based AI engine, integrating powerful models such as Sonar, R1, GPT-5, GPT-4.1, Claude 4, Gemini Pro, and Grok 4. Interactions and tasks are completed by communicating with Perplexity’s servers. Privacy and Offline Use Genspark: Everything runs locally—completely private, with no external servers or data transmission. Works even if internet is down. Comet: Requires Internet connectivity for AI functionality and server-powered automation. Data privacy depends on Perplexity’s protocols. AI Features and Workspace Automation Genspark: Offers a "Super Agent" inside every webpage, with agentic research, autonomous browsing (Autopilot Mode), ad-free experience, migration tools, and smart shopping/productivity tools such as price comparison, review summaries, transcript extraction, and marketplace (MCP Store) for automation between popular apps. Comet: Focuses on conversational AI assistance directly in the browser—a sidecar assistant can summarize, research, plan, manage tabs and emails, book meetings, and complete actions on webpages exactly as instructed by the user’s natural language queries. It excels at handling research, summarization, and agentic workflows within the browser. Which one will you try?