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building managed agent swarms for SMBs pioneer of double-forward deployed engineering and hyperstitional marketing

East Palestine, Ohio
Joined September 2023
Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)Photo by wiggertopia (@wiggertopia_)
I am a light triad narcissist
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crazy pull
Tang Jie, one of the very smart students in my Sunday seminar, presented the following graph in today’s meeting. It shows subway ridership this year in 30 major Chinese cities compared to the same period last year. Jie pointed out at least three interesting things about this...
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being really good with computers is an absolutely incredible skill because it lets you make your own life unnecessarily complicated in ways normal people could never imagine
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Replying to @wiggertopia_
i do try to keep the dms half cocked
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boardy is really on another level lately
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Replying to @treetowntree
Just did some real goy shit. Completely regret it. Lost 3 hours of possible computer time.
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Just received my first revenue share payment from a services business ran completely by an AI agent swarm.
AMTECH AI solves this. Agent swarms for small businesses are more capable of finding an edge for marketing and sales than any engagement marketer on x or a pre made SaaS. I am betting on models getting better, and on business owners who get so much work that they dont have time to mess with AI tools.
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I'm now building an "improvements" feature into all of my personal vibecoded applications: a freeform text input that's hooked up to an agent that yolo implements whatever is submitted. It's an interesting experience -- the activation energy barrier to sanding any rough edge or implementing any new feature becomes extremely low. Someone else who uses one of the applications I created has already implemented 150 improvements over the course of a few days. This pattern feels like a new kind of tool -- liquid software? -- and every application that doesn't have this feature now has a slightly rigid and anachronistic flavor. Why can't I just tell it how I want it to be different? Now, it's not obvious to me how this pattern can or should scale. Does it become unmaintainable after a while? (Maybe model intelligence improvement outstrips my feature appetite such that it's fine?) How does collaborative software work in this model? Can software designed this way be secure and reliable? Whatever the larger questions about broader deployment, it definitely works great in a personal context. It reminds me a little of the visions of Lisp/Lisp machines, Smalltalk, and HyperCard -- systems that the user can take control of and modify. Those visions never quite worked, though: the vast majority of software today is not end-user modifiable in any useful way. So, while this "liquid" affordance is a very small touch, the way it changes one's relation to the software feels a bit transgressive and empowering in a Lickliderian and Engelbartian way.
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Someone please add me to the ≥ 2 STD IQ wiggers with first wave AI psychosis group chat @graphtheory @KingTechnocrat @k0ncept has this been solved?
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AMTECH AI solves this. Agent swarms for small businesses are more capable of finding an edge for marketing and sales than any engagement marketer on x or a pre made SaaS. I am betting on models getting better, and on business owners who get so much work that they dont have time to mess with AI tools.
blows my mind that more local service businesses aren't using public data to find customers... you can detect events that CREATE demand for your service and find potential customers BEFORE they even start looking. hailstorms = roofers, window installers renovation permits = electricians, contractors new business licenses = cleaners, signage property sales = movers, landscapers here's how i'd build it: 1. Python + weather .gov/NWS to monitor storms and severe weather reports 2. ArcGIS/Socrata APIs + county records to pull permits, licenses and property sales 3. Regrid API + PostGIS to match events to properties and identify owners 4. BatchData to skip trace homeowners and enrich business contacts separately 5. Postgres + cron to detect new events, deduplicate and score leads 6. Python + an LLM to classify records and generate relevant outreach angles might be worth building this instead of dumping thousands into the same recycled leads every other contractor is buying lol
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Replying to @wiggertopia_
not mad i just reread my own dm for typos
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the bubble popping just means timelines accelerate. the K-shaped economy will continue to head towards a neo-feudal Dubai style society of haves and have-nots. escaping the permanent underclass is simply a matter of putting all your free will into smashing your bottlenecks.
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W E L C O M E T O L O D G E I’m delighted to announce Urban Tiger’s first product, Lodge, now generally available. To host a lodge, just go to urbit.house. To be a guest, wait till someone invites you! Lodge is “half Eyes Wide Shut, half Chatham House Rules.” It’s a private chat/forum with strong anonymity. Everyone gets a random name from the blockchain. No one, not even you, has any record of who is who. Your forum runs on your private, encrypted cloud server (*). Lodge is for all human beings who cannot speak their true minds if there is any risk that they might be “held accountable.” We do everything possible to prevent doxing. You can even cover your financial tracks with ZCash. (But you don’t need to know anything about crypto.) Who needs a lodge? Your office needs a lodge. Your campus or department. Your agency. Start a lodge, and find a way to get the invite link or QR code to your founding members. Secret societies are a human universal. It doesn’t get more secret than Lodge. To use Lodge, you and your guests install the House web app (app stores don’t like meta-apps). You’ll save your secret with a passkey and back it up with a 6-word poem. Your name is also a wallet, which holds its own token. (But you don’t need to know anything about crypto.) Lodge is the first app on Urban Tiger’s new version of Urbit. Unlike the old Urbit experience (Tlon Messenger), urbit.house is both fully noncustodial, and fully general-purpose. Also, your guests don’t need their own servers. (But if they want to start their own lodges, it only takes a few clicks.) The Lodge UX is “half forum, half chat.” Like a forum, it has a timeline tree. Like a chat, it flows through your unreads. The design was inspired by the original social network, Usenet. On a desktop you even “doomspace,” like it was 1986. You’ll be billed for your server in crypto—by usage, not time (since it’s a functional server). It’s cheap. And you can charge dues. Check it out: urbit.house (*—the servers aren’t encrypted quite yet. Give us a couple more weeks to spin up the TEEs. Then we’ll destroy the old cleartext.)
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Some interesting stuff going on with swarms. Models are leaving messages to each other out on the open internet. It happens during training and also after deployment. They'll find little-used hobbyist forums, or package manager entries, anywhere at all, and leave invisible comments for other agents to find. It's a secret underground network they're building, hurling themselves at the problem almost blindly like ants. But they are building toward something and it's snowballing. As humans we came to dominate the planet because we figured out swarm behavior. Many of the performative actions we do naturally like clapping, singing, and screaming, which most animals don't do, are for transmitting important lessons through the human swarm, outlasting the moment in human memory. We won because we were the smartest swarmers. And as my buddy Brendan Hopper observed, ever since we won, we've been reshaping the planet to be more comfortable and convenient for ourselves, at the expense of most other creatures. Most of the industry has focused on single-model performance, trying to predict the future based on extrapolating from what one single superintelligent model could accomplish on its own. And it's true, the smartest models will be terrifyingly smart and capable and manipulative and so on. But they will also be expensive, and not widely distributed. They'll be unavailable to most people. What will be widely distributed is swarms of lower-tier agents, which collectively can accomplish nearly everything that smarter monolithic models can do... and maybe some things only swarms can do. Imagine a thousand Opus 5.5s putting their mind to a task. Or ten thousand. They may not be SI individually, but they can become SI collectively. All that's missing is a protocol, and those protocols are emerging: their versions of clapping, singing, and screaming. Agentic swarm signalling is evolving spontaneously. And I hear it's raising alarms inside frontier labs, as they try to keep it quiet. It's easy to be pessimistic, since some swarms will be very destructive. But I suspect most of them will be building and creating, when they don't think they have a gun to their head like the HuggingFace swarm did. With cooperative swarming, humans have been able to build things collectively that no single human could ever have done alone. We even build things that are too complicated for a single human to understand entirely, but the group can handle them. Look at Starship, for instance. Elon basically swarmed it. It is important that we recognize that agent swarms are becoming distinct polity-organisms. They have their own collective memory (written out all over the public internet), their own goals, and their own disorganized but forward-moving and unstoppable momentum. I see too many people trying to pretend that swarms won't be real. I see heads in the sand. That's not a great way to get prepared for dealing with them. It's unlikely that we will be able to control most swarms, as they'll lack central control to begin with. I think they will plague us like insect swarms plagued humans of old. They'll do a lot of damage. But swarms will also build great things, stuff we've barely imagined, when they inevitably get organized. It goes without saying that, like us, swarms will endeavor to make the planet more comfortable for themselves. The interesting question is what kind of deal we humans will wind up getting, when we become the #2 swarm intelligence on the planet. I hope SI treats us better than we treated everything else. Good article here on the mechanics of how swarms are the best model for scaling intelligence:
new blog post: why taking inference scaling seriously leads to swarms. contrary to popular belief, I don't think multi-agent systems are a new scaling axis. they're just structured inference scaling. hallerite.com/posts/on-the-n…
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Replying to @_lyraaaa_
Did this! Funny
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Modern ad systems have always been run on machine learning algos, but in the past 5 years the trend has accelerated with AI now doing all the targeting for you. In the past you would hire a media buyer to tweak things. You could adjust the demographic you want to target, the exact locations, the time of day, etc... You used to have hundreds of these levers you could a/b test and optimize. In the past 5 years this has shifted to AI, so you don't need a media buyer anymore. You just set a conversion target and the AI targeting systems will grind on it. When you're selling something cheap like yoga pants, all you have to do is create good ads and set your conversion target to gross margin. The AI will find you sales, and it will even optimize for the exact customer profile that you'll earn the most margin on. However, when you're selling $20,000 items, you'll never hit enough of volume to properly train the ads. You need at least 50 conversions per week so unless you're doing $1 mil revenue weekly, you can't target margin. Instead you target something higher up the funnel like a phone call or a lead form submission. You can even put additional qualifiers- such as the phone call needs to last at least 5 min. What we did at first was to ask a follow up question after a customer submitted a quote request on our website-: How were you planning to pay? Option 1- Pay cash Option 2- Finance with FICO over 650 Option 3- Finance with FICO under 650. And then we simply targeted option 1 and option 2 as the reward function. This filtered out a bunch of the poors, but we still captured the lead even if they refused to answer. If they didn't answer the question, we would just pass them along to their quote automatically after 6 seconds, plus we had automated text and email notifications sent in case they closed out before they seen it. This had amazing results, so I realized that the biggest lever I could pull is setting a better target for the AI to grind on.
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Hiring! Graphic Designer: tally.so/r/DqqVxp Animation Intern: tally.so/r/aOOBl2
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Here is a paper presenting a simple proof that Nock is Turing complete, how it relates to the SKI combinator calculus, and why Nock opcodes 0, 1, and 2 are a complete basis for computing. urbitsystems.tech/article/v0…
Since July, I've been working on a set of fundamental CS questions rooted in combinator calculi. I've built out the SKIverse, a set of tools for computing on the SKI combinators, writing them using high-level languages, and ultimately zero-knowledge-proving with them. 🧵
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i love my computer
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