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loaf
11.5K posts
this plus Stripe link 👌
Nous Research@NousResearch
Shopify is the all-in-one commerce platform powering millions of businesses worldwide Thank you to the @Shopify team for building their own official Hermes Agent skill enabling your agent to manage products, orders, inventory, and fulfillments from any channel.
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Task markets are what he is describing.
Future companies will not transact with one another via human relationships, but rather agent to agent communication.
The agents are trained and context is curated around the task but the actual coordination runs at the speed of inference.
The specialisation stays in the context of the agent but the work is in the form of output tokens purchased via metering with stablecoins.
This will be a step change in productivity- but it’s not there yet, humans are still the bottleneck in rolling this out.
John Collison@collision
We've been thinking a lot at Stripe about the Coasean lens on AI: - The obvious near-term effect is reduced transaction costs within companies: shared context, systems of record, aligned incentives etc. - But inter-company transaction costs also reduce sharply: agents are great at discovery, make it trivially easy to integrate; make contracting much more straightforward; agent-to-agent commerce. - On net, we think second effect bigger in medium term: fewer people per firm, more output per firm, just more firms, and more coordination happening through market-like mechanisms
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This will consume all API providers of tokens eventually - it’s just a better model
Jeff Weinstein@jeff_weinstein
tokens are the atomic unit of an ai-native biz model. with @stripe you can: (1) protect margins by auto-adjusting prices to include latest model costs (2) get paid for token consumption in real time with @metronome and @tempo (3) stop pay-as-you-go token abuse with Stripe Radar
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Your agent will find the path of least resistance to do any task
Daydreams.Systems (x402, 8004 agents)@daydreamsagents
The number of payment options for agents has gone exponential. Daydreams supports protocols that win on Agent Experience (AX).
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Most people don’t care about x402, 8004, MPP or any crypto protocol.
Billions of people just want to use AI agents through the best possible UX, without thinking about any of that.
Daydreams is an AI products lab whose focus is Task Market and the defensible parts of the agent stack.
Everything is focused now on Task Market V2
GIF
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What if Iran just literally pumps it into the gulf? Has that been gamed?
First Squawk@FirstSquawk
IRAN IS RUNNING OUT OF PLACES TO STORE ITS OIL, WITH ONLY ABOUT 12 TO 22 DAYS OF CAPACITY LEFT.
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@gami_vc @nounsdao @ausbuildooors The venn is already there - working on something to unit the degens in pursuit of hyper Australia
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nouns building australia with aus buildooors would absolutely slap tbh
Gearside@gearside
australia has grown fat and comfortable over the last 30 years – we have stopped valuing the hard stuff. so i'm putting energy behind something called build australia. join us. it's designed to drive the cultural shift we need, get australia building again. to move the overton window and force real change. launching today, it’s a visible platform for ideas and software projects - essays, data visualisation and dashboards that paint an optimistic future. if you believe in building things in this country, whether that's houses, companies, products, films, anything... join us… website in comments
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loaf retweetledi
looks like i need to wheel out the chart again for the non-believers
bee 🍉 MOLLY DAY!!!@beereadingshelf
being called a sick cunt or a good cunt is the highest form of flattery in australia
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the craziest part now is that the modern computer probably has to be entirely reinvented, from scratch. pretty much like how jobs & co brought apple ii to market.
like not improved. not given a chatbot sidebar or something but really from the ground up like the iphone redefined what it meant to be a pocket computer.
the current paradigm for computers was built around a human staring at a screen, moving a cursor, opening apps, managing windows, naming files, remembering where things live, & manually translating intent into interface actions.
that made sense when the human was the runtime. but in an ai native world, it starts to look kinda ridiculous.
you can see this ridiculousness when you use computer use agents… they are useful sure, but they’re also obviously transitional. they’re teaching ai to operate machines designed for humans, which is clever, but also kind of absurd. it’s like making a robot hand so it can use a doorknob instead of asking why the door needs a knob at all. yes i know humans also need to use a door knob, but maybe in the future humans don’t need to use a computer, or at least what we think of a computer today at all.
this all leads to some interesting questions:
- what is a file when the system understands context?
- what is an app when intent can route itself?
- what is a desktop when work can be decomposed, executed, monitored, & summarized by agents?
- what is a browser when the agent can retrieve, compare, transact, & remember?
- what is an operating system when the primary user is no longer just a person, but a person plus a swarm of delegated intelligences? or no person at all.
the old computer assumed navigation.
the new computer has to assume a new kind of intention. the old computer organized information. the new computer has to try to organize agency.
we’re still in the hacky middle stage at the moment with sidebars, copilots, agents clicking through legacy ui, & automation layers sitting on top of 40 year old metaphors.
the new computer is likely one where memory, context, identity, permissions, tools, agents, & interfaces are native primitives. this means desktop, mobile, browser, apps, files, folders deserves another first principles look.
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loaf retweetledi
I literally run 12 hermes agent instances every day in parallel to build Hermes Agent, and its now a top 100 GitHub repositories of all time. Agents do bring value and do create substantive software and work.
David Cramer@zeeg
Everyone is slowly coming to this realization, and I assure you, no one is running multitudes of agents overnight. No one that is doing anything of substance at least. There _are_ people pretending to be scientists, or fully caught up in their drug infused AI overdose, that think their slop machines are changing the world. They're not tho, and they're just wasting a bunch of money and compute to create a lot of LoC that will just get thrown away. The state of the art is still "can we even one shot a production quality patch that we wont regret later", and its rarer than you'd expect based on discourse.
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