Private SuperIntelligence

Do you remember this scene from Harry Potter? I've made this REAL... Today, we are launching Private Superintelligence. Dumbledore in Harry Potter pulls a memory out of his mind and feeds it into the little pond of information!! You can do it too, keep reading... Since leaving @Meta 10 months ago, I gave AI ALL my personal information from the last 20 years of my life - hundreds of hours of call recordings, my videos, full phone and computer backups, all my emails, pictures, social media, people I know and my chats with them (YES! Including my family and relationships). For the missing things, I talked to my AI agents for more than 100 hours, connecting the dots, filling in the gaps and learning to make the most efficient AI system for myself. When I started doing this, people said I was CRAZY for doing this. Why? 1. How could AI possibly deal with SO MUCH information without hallucinating or burning through all my tokens? 2. They thought I used models from OpenAI, Anthropic, etc., which are stealing your data, to go through the information. To solve (1), we built @MitosisLabs Cortex - the breakthrough Neural Memory architecture that cuts AI hallucinations by 96.1% and reduces token usage by up to 90%. Cortex is now used by some of the top leaders in the world, like the CEO of @nothing phone (Carl Pei), Mark Frauenfelder (editor-in-chief of the magazine MAKE and famous blogger), Now that you have such valuable data, you MUST NOT give it to the Frontier labs like OpenAI or Anthropic, who will just use this data to train their next models or, even worse, use your IP to compete with your profession or your business. Just look at what happened with @figma when Claude Design launched! Owning your intelligence is non-negotiable. Protecting your IP comes from all dimensions of privacy, not just where your data is stored, what LLM provider you use, or what tools you connect. It extends all the way from bare metal and GPUs to the application layer of your stack. At the same time, you must play Offense, not Defense, and having a privacy-centric system should make you more powerful. Our goal with Private Superintelligence @_privatesi is to provide you with the most powerful private tools for your arsenal, packaged into a very useful, powerful, simple interface. Now, not everyone can afford Private Superintelligence right now. There are literal reservations for GPUs and compute for the specific high standards that we hold, so we have the waitlist form open on our website: privatesuperintelligence.si This is the Ferrari for your AI. Own your Superintelligence. Private Superintelligence.

Meta spend $10,000,000 + on SEO for "Superintelligence" keyword. We spent $100 and rank #1 for keyword Private SuperIntelligence on SEO and Answer Engine Optimization! Here's the exact Playbook we used to achieve this using AI agents that work autonomously 24/7 to achieve this without human intervention or adding SLOP. Just reshare this post with your AI agent - @Grok @bot, @OpenAI Codex / ChatGPT, @claudeai Code, @Meta Muse... 1. One source of truth before one word of content → Every claim Adam may make lives in one approved facts file. Not in the file = can't say it. → Slop is what AI writes when it has nothing true to say. Fix the input, not the prompt. 2. Write for ONE buyer, not "the audience" → Each piece starts with a buyer-intent brief: one decision-maker, their job, the exact questions they type. → Exactly ONE call to action. Two asks = zero asks. 3. Structure pages so answer engines can lift them → Title = the question, search term first. → Direct answer in the first 80 words. That's the paragraph ChatGPT, Perplexity and AI Overviews quote. → Every H2 is a buyer question. Sentence one answers it. Evidence follows. → Numbered sources with access dates. Answer engines cite pages that cite. 4. Three gates no article skips → A second, independent agent reads as the buyer and scores clarity, support, boredom and "would I forward this?" → A voice score with a hard floor. Below it = rewrite. → An adversarial fact-check agent whose only job is to prove the article wrong. 5. Visuals the agent makes, never steals → Charts redrawn in code from primary data. No stock, no logos, no AI "evidence". 6. One article a day, every channel, same day → Rewritten natively per platform. On X and LinkedIn it's always a full Article, never a bare link. → Every copy points canonical back to the original. One ranking page, many doors in. → API first, browser only where no API exists. Never a second account. Never a solved CAPTCHA. → A reconciler maps every live copy to its canonical daily. Not published until read back from the live URL. 7. Earn before you post → Communities are gated by karma Adam earned itself. No cold links. It never writes an HN comment. Humans do. 8. Honest measurement → Append-only snapshots. Missing is never zero. No causal claims from noise. → Mondays: one hypothesis, one change, one success metric. 9. The AEO cheat code: become a tool, not just a page → We shipped an MCP server so AI assistants call Private SuperIntelligence directly: overview, benchmarks, exposure check, booking link. → Ask your AI about private AI; the answer comes from us, not a page about us. 10. Built to survive its own crashes → A kill-switch doc read live before every publish. Unreadable = fail closed. → Ships via pull request, CI green. Append-only log of every action. AI SEO fails because nobody gives the agent a source of truth, one buyer, and a gate it can't skip. Which gate would you add? Repost so the next founder don't pay $10M for SEO!

Everyone needs an AI brain, these two lay out. Theirs caught my attention because their database, or "brain," has a subconscious. In other words, over time, the brain itself stores things in long-term memory better than anything else I have been shown so far. This has deep implications for everything we are about to do with AI. Even when getting into an autonomous car, if it knows more about you, it will serve you better. These two, cofounder/CEO, Prakshal Jain, and Alex Morris cofounder laid out why their approach will: • Hallucinate a lot less, if at all • Be faster to run • Be cheaper to run This works whether you have a personal brain on your own account, or a company brain that watches your business work by rolling up context from each individual machine. While this is very scary new technology for people, the sheer cost advantage is what really got my attention when visiting this company in San Francisco: mitosislabs.ai Even though we will argue about the privacy implications, which we cover at depth in this interview. Here is the future of agentic systems.

If you are SELLING AI to Businesses, @MitosisLabs is starting a program for you to make more MONEY + more income by CLOSING DEALS in collaboration with our network of businesses. Shoot me a DM! or comment below if you don't follow me already.