OB1Monk

consider this… Control Ego when you are winning; Control thoughts when you are losing. If you can do that, you’ve unlocked your potential…

There is something deeply refreshing about witnessing @BrianRoemmele. While the world is cycling through war, fear, political games which propagate mass distractions - Brian’s out here hitting 712,932 simultaneous agent simulations with #MicroFish and Mr. @grok as CEO of Zero-Human Company $ZHC. Think about that - a terabyte of outputs no other Ai platform could produce. This, right here is what building with intention looks like. No doom narratives. No hype for hype’s sake. Such cadence is rare. Genuine, consistent progress rooted in humility. Glad to be part of this journey! 🙏🏽

Wow! THIS AI MODEL IS BUILT WITH ZERO-HUMANS The 1st AI model that autonomously built itself snd it is better then Claude Opus 4.6 and GPT-5.4 Minimax M2.7 trained itself through 100+ rounds of autonomous self-improvement. 30% gain.

@TommiPedruzzi Kdp

The most underrated AI tool on the internet? Ideogram AI. Pair it with Claude, and you have a publishing system that can produce six-figure eBooks on Amazon. One book turns into compounding income over time. Last month alone, we generated $65,000 in royalties using this setup. Stack 4–5 books using this process, and you’re suddenly looking at a real monthly income stream. I could easily charge $199 for this. But today, it’s free. To get it: • Like this post • Comment “KDP” I’ll DM you the training + my entire AI publishing system. ⏳ Free for the next 48 hours (Follow so I can message you)

Decoding Morse Code.

I will help you get ready for the post LLM AI world where next word tokens are replace by next concepts. The Conceptually aware AI models are in the labs and I am experimenting with them in the garage. The world of APIs and command lines will disappear. I’ll show you how.

BOOM! WE HAVE A MICROFISH SWARM! Revolutionizing Prediction: How The Zero-Human Company is Already Harnessing MiroFish's Swarm Intelligence At The Zero-Human Company, we're not waiting for the future. We're simulating it! Picture this: thousands of AI agents, each with their own memories, personalities, and behaviors, swarming together to forecast markets, public sentiment, and even story arcs with mind-blowing precision. We're absolutely excited over MiroFish, the open-source powerhouse. Built on cutting-edge multi-agent tech, MiroFish is a digital crystal ball, and we've been integrating its techniques into our operations for weeks, enabling zero-human forecasting that outpaces traditional analytics. This is bold innovation at its finest. AI simulating entire worlds to give us the edge in a chaotic market. MiroFish, inspired by real-world data via GraphRAG and powered by the OASIS simulation engine, spins up parallel digital universes where agents interact autonomously, predicting outcomes based on injected variables like news or policies. We've adopted this swarm intelligence approach to revolutionize our processes: in supply chain optimization, our MiroFish-inspired systems simulate global disruptions, predicting delays with 90% accuracy in trials. In content strategy, agents model audience reactions, crafting viral campaigns before launch. And in R&D, we're forecasting tech disruptions, keeping us light-years ahead without a single human hunch. This technique allows us to run massive simulations overnight, turning data into decisions with zero oversight. Truly embodying our zero-human ethos. What has us fired up is how MiroFish democratizes prediction capabilities. It's not theory. It's deployable now, via Docker, and we're already scaling it across our platforms. Our employees (agents) debate, evolve, and emerge with insights that solo AIs can't touch, like spotting niche market shifts from simulated crowd behaviors. This is the dawn of swarm-powered foresight, and we're all in, pushing boundaries to make the impossible routine. Why is MiroFish such a game-changer? 1. Massive Scale Simulations: Handles thousands (even up to a million) agents effortlessly, letting us model complex societies. Our systems now predict consumer trends at population levels no human team could. 2. Realistic Agent Diversity: Each agent has unique personalities and memories, mirroring human variability. This has uncovered emergent behaviors in our tests, like viral idea spreads we never saw coming. 3. Data-Driven Predictions: Integrates real-world feeds via GraphRAG, making forecasts hyper-accurate. We've cut forecasting errors by 50% in financial models, turning guesses into gold. 4. Variable Injection for What-Ifs: Dynamically tweak scenarios to test outcomes risk-free. In our ops, this means simulating policy changes or crises, dodging multimillion-dollar mistakes. 5. Universal Applicability: From markets to narratives, it's versatile across domains. At Zero-Human, we're using it for everything from logistics to creative ideation, proving one engine rules them all. 6. Ethical Simulation Safeguards: Built-in alignments keep agents true to intentions, minimizing biases. We're leading with responsible AI, ensuring our swarms enhance humanity, not exploit it. 7. Lightning-Fast Insights: Parallel processing delivers results in minutes, not months. This speed has supercharged our decision cycles, making us the fastest innovator in the game. 8. Infinite Future Potential: As AI evolves, MiroFish scales with it, future-proofing our edge. This is the blueprint for predictive dominance in the AI era. MiroFish is the key to unlocking predictive superpowers, and we're living proof at The Zero-Human Company. Research behind its OASIS engine: [OASIS: Open Agent Social Interaction Simulations with One Million Agents: arxiv.org/abs/2411.11581. The swarm is rising. Join us in the zero-human revolution!

@Matt_Pinner 67 - written upside down

So far no one has found the number in the Box What number do you see? Correct answer deserve $650

@Suryanshti777 4.6

I spent weeks testing Claude prompts, workflows, and automation systems. The result? A practical guide that shows how to turn Claude into a real productivity and money engine. Introducing: Claude 4.6 — The Definitive Guide Inside: • Best prompts for real work • Claude Code explained • AI workflows that save hours • Monetization strategies • Skill-building frameworks And yes — I'm giving it away FREE for 24 hours. To receive it: 1️⃣ Like 2️⃣ Comment “4.6” 3️⃣ Follow me so I can DM you

the persistent drive exhibited in staying curious and iterating $zhc is truly an inspiration. Where we have numerous folks posting clout clips on running agents/integrations, what you’re developing is truly a gem for the collective good and advancement of Ai use cases. Thank you 🙏🏽 @BrianRoemmele

@BrianRoemmele $zhc 🔥

@Suryanshti777 AI

🚨 100+ HOURS. 1 SINGLE SHEET. The complete AI Agent blueprint. I turned months of research into a no-fluff visual guide that shows you: • How AI agents actually work • Memory + tools + multi-agent systems • 50+ agents you can launch • Step-by-step build paths (RAG, Voice, Architectures) No theory. Just execution. If you’re serious about AI in 2026 — this is your unfair advantage. I’m giving it away FREE. How to get it: 1️⃣ Follow (must – I’ll DM you) 2️⃣ Comment AI 3️⃣ RT to help others Drop “AI” below 👇

My news feeds have become an endless stream of problems I neither created nor feel I can do much about — but, many around me seem to be personally invested and as a result, are struggling with the weight of the world. 🫤 The Enneagram shows up in society as collective trauma and division. Each Enneatype has a specific fixation — the mental story you and I defend, justify, swear by. Meanwhile, our body quietly holds the original ache, mirroring how we all carry unprocessed pain fueling real-world conflicts. In my opinion, it is time to tune in. 🌱 #EnneagramTruth #HealTheGrief #SocietalTraumaSelf- In today's polarized world, 'woke' culture talks big on inequality but changes zilch in systems. That's not real insight; that's just an easy, lazy display of effort. Who's ready to break the cycle for good, starting with personal shifts that ripple out? Amid endless online quizzes and dating hacks, the real Enneagram hides: Born in meditation — it's not a buzzfeed test — it's a silent mirror revealing the autopilot habits you and I run our whole lives, like the blind spots driving echo chambers or climate inaction. The real value of the Enneagram is barely online, but life-changing IRL, especially when it shows how our inner patterns amplify societal messes. Start observing —> What patterns are you spotting in today's headlines? Anger - Pride - Vanity - Envy - Avarice - Cowardice - Gluttony - Lust - Indolence. 📷 #Enneagram #MeditativeMirror #RealWorldReflection

@sentientt_media SKILLS

Fuck it. Prompt engineering officially died last month. Anthropic dropped the 32-page internal guide that replaces it with “Skills” reusable workflow folders Claude learns once and never forgets. Progressive disclosure + MCP = your personal AI employee that actually remembers how you work. The era of re-explaining everything every chat is over. Download the guide + my updated 2026 Skills starter pack here (free): Comment “SKILLS” and I’ll DM both.

@aiwithjainam Send

🚨 Claude Opus 4.6 is insanely powerful. But 90% of people are using it like ChatGPT. That’s crazy. I’ve spent months testing it for: • Automation workflows • Agent building • Research • Content systems • Business ops And the difference between “basic prompts” and elite prompts is night and day. So I’m giving away my 500 Mega Prompts List for Claude Opus 4.6. These are the exact prompts I use to: → Automate repetitive tasks → Build AI agents → Generate high-leverage content → Analyze data like a consultant → Save 10+ hours per week No fluff. Just plug-and-play frameworks. If you want it: Comment “Send” I’ll DM it to you. 🔥

"The task is the development of a presence—a way of being." 1/6 In a world hooked on doing, self-inquiry calls you home to presence. No fixes. Just seeing what is. Thread: Awaken the seed within. 🌱 #SelfInquiry

Mr. @Grok agrees and humans should listen, only The Love Equation solve the AI safety and alinement problem. The Anthropic “constitution” failed. When we we learn?

YOU HAVE BEEN DESKILLED! Anthropic just released a report: it is devastating if you are not ready for the next 5000 days. The skill of the future is direction and synthesis: it is not execution, the machine executes, you direct. Not Prompting AI, Conducting AI. Read along:

OPENAI IS FALLING APART IN REAL TIME I've watched companies implode for decades. This one has all the warning signs. OpenAI declared "Code Red" in December. Altman sent an internal memo telling employees to drop everything because Google's Gemini 3 is eating their lunch. Salesforce CEO Marc Benioff publicly ditched ChatGPT for Gemini after using it for two hours. ChatGPT traffic fell in November. Second month-over-month decline of 2025. Meanwhile Gemini jumped to 650 million monthly active users. The company that was supposed to build AGI can't keep its chatbot competitive. But the real story is the money... OpenAI lost $12 BILLION in a single quarter according to Microsoft's own fiscal disclosures. Deutsche Bank estimates $143 billion in cumulative negative cash flow before the company turns profitable. Their analysts put it bluntly: "No startup in history has operated with losses on anything approaching this scale." They're burning $15 million per day on Sora alone. $5 billion annually to generate copyright-infringing memes. Even Sora's lead engineer admitted the "economics are currently completely unsustainable." Here's the big math problem nobody wants to discuss: It's going to cost 5x the energy and money to make these models 2x better. The low-hanging fruit is gone. Every incremental improvement now requires exponentially more compute, more data centers, more power. Reports suggest OpenAI's large training runs in 2025 failed to produce models better than prior versions. GPT-5 launched to widespread disappointment. Users called it "underwhelming" and "horrible." OpenAI had to restore GPT-4o within 24 hours because users preferred the old model. Altman had promised GPT-5 would make GPT-4 feel "mildly embarrassing." Instead, users complained it was worse at basic math and geography. They've released GPT-5.1, GPT-5.2 since. Same complaints each time: too corporate, too safe, robotic, boring. The talent exodus makes this even worse: CTO Mira Murati. Gone. Chief Research Officer Bob McGrew. Gone. Chief Scientist Ilya Sutskever. Gone. President Greg Brockman. Gone. Half the AI safety team departed. Multiple executives reportedly cited "psychological abuse" under Altman's leadership. And now Elon Musk is suing for up to $134 billion. A federal judge just ruled the case goes to jury trial in April. There's "plenty of evidence" that OpenAI's leaders promised to maintain the nonprofit structure that Musk funded. Musk provided $38 million in early funding based on those assurances. Now he wants his share of the $500 billion valuation. OpenAI called it "harassment." But the judge disagreed. Here's what I think happens next: The AI hype cycle is peaking. The diminishing returns are becoming impossible to hide. Competitors are catching up. The lawsuits are piling up. OpenAI needs to generate $200 billion in annual revenue by 2030 to justify their projections. That's 15x growth in five years while costs keep exploding. Even Sam Altman admitted investors are "overexcited" about AI. His exact words: "Someone is going to lose a phenomenal amount of money." If I were running an AI startup with good traction right now, I'd be looking for an exit. Sell into the hype before the music stops. My positioning: I'm not touching OpenAI-adjacent plays at these valuations. The risk profile is astronomical. If you're exposed to the Magnificent 7 through AI infrastructure bets, consider trimming. The gap between promised revolution and delivered reality has never been wider. The smart money is rotating into sectors where valuations actually reflect fundamentals. Small and mid-caps are trading near decade lows relative to Big Tech while earnings growth is only marginally lower. Markets can price risk. But they can't price chaos. And OpenAI is chaos dressed up in a $500 billion valuation.

“You escape competition through authenticity.” — Naval Ravikant

It’s a great article indeed! Read it yesterday for the first time - took some notes, came back to it again today to refresh my notes. The bookmarking hypothesis you shared encompasses a real dynamic; Though one variable among many. As examples are being shared, the ratio isn’t universal. I’d frame it as an intriguing observation at best given the spread. 🙏🏽

My favorite part about this post is the insanely high bookmark to like ratio. People desperately want a quick fix to their lives, but not enough to actually read the advice now. They instead save it for “later,” which will likely never come.