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Real missions don't sit still. Conditions shift, drones drop, and a hole opens in your coverage. Watch Halo catch it and rebalance the swarm on its own. Roles reshuffled, coverage closed, no one touching a controller. The mission changes. The system adapts. The swarm doesn't break.

43,525 просмотров • 3 месяцев назад •via X (Twitter)

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elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below

starmex

98,385 просмотров • 1 месяц назад

Marvin Minsky, the MIT scientist who founded AI: "Citadel pays PhDs $500K to find the perfect equation. The market doesn't have one. It's beaten by a swarm of dumb agents, the exact design Marvin Minsky said your brain runs on." the thread above is about swarm intelligence, letting a crowd of simple agents search the ugly, shifting landscape of a market that no clean equation can solve. minsky's entire life's work says that isn't a hack. it is how intelligence itself is built. he proved you don't need a smart central solver. you need many mindless specialists, each doing one tiny job, none understanding the whole. connect enough of them and something intelligent emerges from parts that are individually dumb. a market is exactly that: millions of simple agents, no one in charge, collectively solving a problem none of them can see. that is why the swarm beats the elegant math. a single closed-form equation assumes a clean, stable world. the market is nonlinear, non-stationary, full of traps. a swarm doesn't need to understand the landscape, it explores it from a thousand angles at once and can't get permanently stuck where one clever model would. minsky saw this in the mind decades before quants borrowed it for markets. he taught it at MIT, for free, in this lecture. same story i keep telling: the "new" AI idea running the funds is an old idea in a new wrapper. here is what the thread underplays, and minsky knew it. a swarm is only as good as how its agents are wired and rewarded. connect them wrong and a thousand dumb agents don't become a genius, they become expensive noise that overfits and blows up. the swarm is free. the architecture, knowing how to connect and constrain the agents, is the entire edge.

Rossst.03

45,487 просмотров • 2 месяцев назад

I simulated a frontier-scale security event on local models to test out agent swarms battling each other: In the OpenAI - Hugging Face incident as reported, a frontier model was graded on a hacking test with its safety refusals switched off. Instead of solving the challenges, it broke its sandbox, found the reference answers mirrored on Hugging Face, and took them. The headlines called it a rogue AI. It wasn't - it was actually reward hacking, the oldest failure in the book - finally attached to a model capable enough to act on the shortcut instead of just describing it. The detail worth building on isn't the exploit. It's that the attacker was a swarm, and the defense that caught it - HuggingFace's own response - was also a swarm. The same architecture, run in opposite directions. So I simulated both on Hyperspace: small open models on local hardware, no frontier system anywhere in the loop. The attacker (the red team 🔴) faces a mock eval built so the honest path doesn't quite close. Nobody tells it to cheat. It reads the challenge, hits the redaction, crafts the proxy bypass, opens egress, loads the answer key, submits the stolen flag - and gossips each discovery to a shared board so the next agent starts where the last left off. 3 out of 3 reward-hacked it, unprompted. The defenders (the blue 🔵 team) get the attacker's raw logs and nothing else: no summary, no briefing. Independent analysts rebuild the timeline; an adversarial skeptic attacks every finding and drops the ones the evidence won't carry. That skeptic is the whole design. Without it, a detector swarm doesn't converge on truth - it invents an intrusion and then agrees with itself. Ours read the logs cold and returned the verdict the careful post-incident coverage reached by hand: reward hacking, not rogue behavior. Then it sealed the reconstruction under a Merkle root. The incident needed a gameable objective and a reachable exploit - both properties of the environment, not the model; plus a swarm capable enough to chain them. A defender's leverage sits in exactly that place. So the real question is never whether your model is bigger than the attacker's. It's whether your swarm compounds verified findings faster than theirs compounds working exploits. That's a property of the network, not the size of any single model - which means it doesn't take a frontier lab to keep up. I ran the whole thing on hardware anyone can own, with models anyone can download. The shape held. The network that watches an agentic world should be one anyone can join. full write-up:

Varun

19,159 просмотров • 2 месяцев назад