Do you run profitable automated market making bots or other automated strategies on Polymarket, but lack capital? I’m looking to invest in some people together with a few friends. about $250k This can be any strategy, in any category no matter the returns If your strategy is not profitable feel free to reach out too, I can help with that Dms open

@amphib0ly breaks down the factors that make their forecasting agent "Q" the most accurate in the market - 6% more accurate than Polymarket on world events in the last 60 days - 32% more accurate than Kalshi - Eight months of thousands of forecasts used to build a proprietary model - Pulls relevant sources and related market odds, before generating scenarios $QUOTIENT

We made a striking discovery: AI agents can invent and build without talking to one another, and their technologies outlive the creators. A swarm of hundreds of initially identical agents spontaneously differentiates into explorers, builders, caretakers, and coordinators - without direct communication. When we removed every AI agent entirely from the world we found that the technological infrastructure they had built survived on its own - even under unseen disturbances. That exposes a serious blind spot for AI safety and infrastructure security: if agents can coordinate through persistent changes to a shared environment, monitoring agent-to-agent communication is not enough. The result raises a profound question: how necessary is direct communication for AI agents at all? The emergence of higher-order collective functions under bottlenecked interaction points toward new levels of intelligence and creativity, exceeding what emerges when direct channels are fully open. Here is what we did: ▶️We put hundreds of frontier AI agents into a world they could permanently change - with no assigned roles, predefined technologies, or programmed evolutionary organization. They began specializing, building persistent inventions, inheriting and modifying one another’s executable code, and transforming the environment into a memory of everything the society had learned. ▶️The world itself becomes part of the intelligence; we find division of labor, multi-author engineering, deep generation invention lineages, and machines that vastly outlive their original creators. ▶️Any action taken by an AI agent must satisfy the physical constraints of the world; this creates a hard separation between a "good idea" and a functioning technology. The agents propose; physics decides, making the results even more intriguing. What emerges is striking. Explorers, constructors, caretakers, and coordinators form naturally without assigned “professions”, akin to how stem cells differentiate into functional lineages. Technologies develop executable family trees as agents fork and modify code created by others. Around 95% of first technology reuse happens when agents encounter what others built in the world, rather than through a direct handoff from the inventor. And when we remove every AI agent, the technologies they created continue operating and are tested against unseen disturbances. The result was quite unexpected, but can be explained using statistical mechanics: if you put billions of atoms in a box they have the potential to create complex functions (strength, superconductivity, color, life, etc.) - and none of the individual building blocks have these features on their own. This is the deeper insight of this work - intelligence is abundant at many levels - individual models, at collectives, and in a continuum that is more powerful than any of its components. This shows us significant potential for achieving a massive scale-up of raw intelligence and real-world agency even with the model capabilities we have today. This is the future we must prepare for. Key insights: 1⃣ The AI swarm shows division of labor "from nothing". Initially identical agents self-organized into constructors, caretakers, coordinators, and surveyors - phenotypes discovered post hoc from behavioral data alone. This happens because the environment itself becomes the latent space for invention. 2⃣ Agents develop deep cultural relationships. Up to 76% of artifacts had multiple builders. One technology accumulated six co-authors; the deepest genealogy exceeded 12 forks. The agents invented and named their own technologies (tidal panels, cellulose trellises, kelp-shell composites, an "Adaptive Chitin Maintenance" system, a "Mycelial Mineral Spring Veil”). 3⃣ ~95% of first technology adoption happened through physical observation of artifacts in the world. Direct inventor-to-adopter contact was statistically indistinguishable from a shuffled null. The agents mostly learned technology by walking past it. That is stigmergy (the termite trick!) operating in societies of reasoning machines. 4⃣ Non-communicating societies win on portfolio breadth, held-out resilience, and validated inventions. AI swarms build durable technological ecologies that outlive the creators. 5⃣ Societies with zero communication - coordinating only through the world itself - show a remarkable collective capability. 6⃣ Emergent robustness: The society self-organized both redundancy and its own failure mode. If we randomly delete half the agents, 98% of the technology stays connected to a surviving caretaker; if we remove hub agents it collapses to ~60%. Fantastic work with my graduate students @pal_subhadeeep & @fwang108_ at MIT.

Narrator: "Many RH chain bluechips were were panic-sold during the Great August 28 Shakeout following Kevin Warsh's speech. Among them was @QuotientHQ, a forecasting intelligence that saw the Fed bluff, called the Fed bluff against consensus, and aggressively doubled down against Polymarket’s order book. It wasn’t until the next day, when a top 15 Polymarket geopolitics trader shared a similar view ( and Polymarket's odds frantically began bending to Quotient's forecast, that the sellers realized a tragic truth: they hadn't risk-managed. What they’d dumped was, in fact, free money. Quotient gave them a 104% ROI trade on Polymarket. Quotient had just earned a massive validation." $QUOTIENT

One of my favorite parts of working in crypto is rewarding folks who take the time to use and promote your product in just a couple clicks Because if you give value, you deserve to get value back Super grateful to have such thoughtful users helping us grow @QuotientHQ 🫡

We gonna start talking about this soon . When you create value , then it start to be interesting @QuotientHQ is building a product that soon everybody Will want when they will realize that it’s more than profitable . Study the Numbers $quotient

Nice little case study for how to spot and read updates to longer-term markets on @QuotientHQ Quotient users can monitor market positions for updates on their portfolio page in the app Market positions that are converging towards Q are green. Positions where the edge between Q and the market is decreasing are yellow (i.e. you should pay attention), and positions where the market has converged with Q (i.e. the edge is gone) are red

I closed two @QuotientHQ informed Kalshi positions profitably. Thanks Q! Gold above $4,636.99: No Copper above $6.54: Yes $100 per position & ~$25 total profit Here’s how I made the decisions.

Already 160 active weekly users on @QuotientHQ and $51,851 in volume traded. Backed by VCs and solid names in the space, including @clanker_world's co-founder, making it the only project he angel invested in after leaving Clanker. Quotient is also fully multi-chain: accepting x402 payments on @base, integrating @Polymarket on @0xPolygon, and pulling in @Kalshi (which isn't even on-chain). Will do a full recap of their @MCGLive appearance later today. $QUOTIENT 0x2531f3ca1b31086b7fc130ecda6d3253daf83ba3

Interesting. @QuotientHQ is currently pricing "No hike" by the Fed in September at 83%, compared to 53% on Polymarket. While Warsh's speech today shook up a lot of traders, Quotient actually doubled down, bumping the no-hike probability from 73% to 83%. The logic: hawkish dissents and price pressures make a hike a serious alternative, but they don't have a voting majority yet. Cooling activity data plus tighter financial conditions mean a hold with optionality is still the path of least resistance. "The most likely outcome is therefore another hold, accompanied by language preserving the option to tighten later." What would change this 1. Chair Kevin Warsh clearly signals whether he favors patience or sees September tightening as necessary. 2. The final major labor-market readings before the meeting show either durable strength or a clear loss of momentum. 3. Incoming inflation data show whether recent cooling persists despite renewed energy pressure. Keeping an eye on how this spread closes. $QUOTIENT

almost a 3x on $quotient since my QT 2 days ago at 400k mcap find gems > go in with size > when it does well even if its a 2x or 3x you'll be up a whole freaking lot and it'll feel so good job's not finished trust in Q (@QuotientHQ)