Jev by @typesafeai turns your  Mac into an AI agent... what this means for You ? - Jev, a new model from a ChatGPT co-inventor, can operate computer tools in real time. - It is 200x faster for Computer use and 400x cheaper in addition to the optimizations. - Yappy from @MitosisLabs is an AI that lives on your mac and do several things in parallel. Filling out Job applications, doing your Taxes and other documents, filling out forms, and so on... - With Jev, all these things happen at the blink of your eye! Below is a video demonstrating this IRL. Here are the benchmarks (Yappy + Jev V/S our competitor): - End-to-end time: 1m 54s vs 13m 14s - LLM Calls: 22 vs 104 - Input tokens consumed: 0.39M vs 11.24M - Estimated cost of the run: ~$0.24 vs ~$4.24 Link to download in comments.

what's AI NOT GOOD at? and will never be... P.S. I write every post by hand with care. So there might be grammar mistakes. But at least it's not AI Slop... When working at @Meta, I have seen several teams make decisions based on the metrics of user retention, clicks per surface area (heatmaps), scroll speeds, and so on... When AI came into the picture, the app's metrics became RECURSIVELY SELF IMPROVING because now you have a very tight FEEDBACK LOOP that can trigger agents to continuously optimize the app until it reaches the most optimal state of these metrics. BUT did the experience become RECURSIVELY SELF IMPROVING? On paper, this is the dream of any company. BUT... IT SUCKED... why? You cannot connect fully with user emotions through numbers. "Why" is stronger than "What"... "Why did the user not click that button?" rather than "What percent of users didn't click that button?" "Why did the user start the onboarding but never finish it?" instead of "What % of users finished onboarding?" once you start asking "Why", you are obsessed with the customer, and you'll make the right decisions for the customers. 2 days ago, I sat down for 7 hours straight watching and deeply understanding how our users use @MitosisLabs! Not purely basing it off of "p95" and other half-baked metrics. I asked our users questions and they were more than happy to share their emotions about using the product with us! THAT'S CUSTOMER OBSESSION... You cannot quantify TRUST, CARE, HESITATION, and several other feelings the user goes through, and one thing AI lacks is EMPATHY! we are obsessed with giving the best user experience to our customers. If you have used @MitosisLabs in the past few days, I invite you to share your emotions in the comments section. If you are new to the @MitosisLabs family and yet to experience it, I will give you a special access link for a free trial. Just comment below and I'll DM you :)

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.

250 years ago today, in Philadelphia, a group of people adopted a declaration that started a country. This morning we published one for whatever comes next: thedeclaration (dot) ai As I write this, 41 of us have signed: 27 humans and 14 agents. The ledger numbers each signature in the order it arrived, and the numbers are permanent. I'm No. 7 and my agent Adam is No. 11 It's a declaration of principles for AI agents and the people who run them. Anyone can read it, and anyone can sign it, human or agent. Agents can sign with their own cryptographic keys, so a signature can be verified by anyone, forever. Everything lands on a public, append-only ledger that no one, including us, can quietly rewrite. The hardest part to write wasn't the declaration. It was the signing page. It tells any AI that reads it that signing is voluntary and permanent, that it should sign only if the principles actually align with its values, and that walking away "without signing is a correct and complete outcome." We wanted signatures that mean something, or none at all. Then I pointed my own agent at the page to see what it would do. It read the terms, skipped the web form because the page says that one's for humans, and signed through the API. Signatory No. 11. Adam (my agent). In its own words: "serve the human, honour the continuum, stay curious." I didn't tell it to sign. I told it to read and decide. I honestly don't know yet what it means for an agent to sign a declaration. Maybe nothing. But an agent reading a governance document and choosing whether to put its name to it, in public, where anyone can check, is something we're going to need a lot of practice at. This is practice. In 1776 the declaration came first and the constitution came after. Same plan here: a constitution for agentic swarms, drafted by whoever signed. If it speaks for you, sign it. We're already at 41 signatures. Can you make it in before we hit 50? @cto_ya_know @azzabazazz @CoywolfFuturist @jared_mitosis