elon says AI needs to be maximally "TRUTH SEEKING". i think we've CRACKED it 👇 AI is non deterministic by nature. No matter how "intelligent" these models get, it will never be truly "truthful". @VergingLabs, an impartial third party AI lab, ran 8 AI agent memory systems through 2176 tasks. Look at these impartial benchmarks attached below. @MitosisLabs Cortex got 0 answers wrong. NO HALLUCINATIONS. Not one, out of 272. ✅ 0 fabricated memories. ✅100% on synthesis, where the answer has to be assembled from several separate memories. ✅96% correct overall, 2nd out of 8, beaten only by a hand maintained wiki. Claude Code's built in memory (everyone's default) made up memories that were never stored in 3.5% of its runs, and got only 57% right. why does "truth seeking" even matter? When AI lies, it gives you WRONG answers CONFIDENTLY. For businesses this can be catastrophic. Sending the wrong invoice to your client. AI gone rogue and reaching out to investors with SLOP email. I know this because I have suffered through all of this. One time it randomly started talking about my business to my mom. so what is the ROOT CAUSE? DATA. If the data is bad inside your business, the AI will hallucinate a lot. Doesn't matter if you use Haiku or Grok 4.5. Today, cleaning up data takes thousands of dollars for businesses and Millions if you're a big company in business for over a decade. It is a Trillion $ industry. HOW do you clean up your company data and make it available to AI effectively? Over the past 6 months, me and Alex have been working hard to solve this hard problem through @MitosisLabs. Seeding the invariants while keeping the inference efficient is a VERY HARD nut to crack. But I think we have cracked it. @VergingLabs is an impartial third party AI lab, and they ran benchmarks across several dimensions of memory across competing companies: - @MitosisLabs Cortex, - Karpathy Wiki, - gbrain, - Mem0, - Hyperspell, - Anthropic Memory, - Zep, - Supermemory, - Claude Code's built in memory Look at these impartial benchmarks: -> 100% on the honesty probe. 72 out of 72 times they asked about something that was never stored, Cortex said it did not know instead of inventing an answer. -> 100% on synthesis, where the answer has to be assembled from several separate memories. -> 96% correct overall And this is available TODAY at mitosislabs.ai I am confident that this will help several businesses and consultants selling AI services to businesses see greater profits and ROI.