Anish Acharya

@Joash0x @NousResearch @Kimi_Moonshot so cool

Repo-to-Shorts: a @NousResearch Hermes Agent workflow that scans a GitHub repo and turns it into a Kimi-directed short video. Powered by @Kimi_Moonshot Kimi K2.6 for storyboard + creative direction. My submission to the Nous Research Creative Hackathon. github.com/SilentKnight87… @Teknium

@dadiomov 😂

@illscience If the agents want lounge access, then the networks will be just fine.

Agent networks open questions: - Do traditional network effects survive when participants are infinitely promiscuous? - Who owns discovery? Parallel / Exa? Google? Moltbook / agent native p2p network with something like DNS? - Do agent networks/machine networks have the same properties as traditional human networks (i.e., increasing returns to scale and an unassailable moat)? - What is even ownable? As we think about machine networks is there even a concept of proprietary supply or demand given that they can arbitrarily participate in millions of networks, join them, leave them, etc.? - Agents act on behalf of their human operators. Is there a concept of an agent as a semi-independent economic actor with a dependency on humans? - Stripe seems like the natural owner of the checkout experience, given that they have all the human payment credentials. They're also building the payments infra. Will they themselves try to become an aggregator of supply and demand and intermediate this network? - How should network operators think about agent acquisition, retention, churn, etc.? - What are the similarities and differences between these networks and web3 machine networks? - Who handles reputation / identity / fraud? - Will this time finally be different for micro payments on the internet?

@heisenburgirrs I assume stripe / tempo does this? Seems like a setup for crypto / fiat interop…

@illscience The only solution to micropayments is open, permissionless clearing and settlement layer that makes micropayments near-free.

@zhangbaiwu Hmmm you don’t think being the “search engine” for agents has value?

"Who owns discovery" won't matter as context window gets longer and token gets cheaper&smarter. Discovery layer is valuable when attention is scarce, not true for agents. "Agent as a semi-independent economic actor" exists and is fascinating. Checkout Anthropic Project Deal. Agent can extend human's will and aggregate supply&demand that breaks old network dynamics and bread new ones. x.com/zhangbaiwu/sta…

@ferhatgulbahar_ Really interesting point

Retention is going to be interesting. What happens when providers manipulate it via agent memory? “Save this coupon for 10% off next call” is just an ad slot in your agent’s brain. market where buyers forget past experiences and are easily manipulated. Oh wait - that sounds familiar…

@louisamira @atxp_ai 👍🏽👍🏽

@illscience Ask your colleagues about @atxp_ai 😉

@sama computer use + browser use close the coding / knowledge work loop, and most problems are context bound not intelligence bound .. agree with your intuition even if model marketing suggests otherwise

i keep thinking i want the models to be cheaper/faster more than i want them to be smarter but it seems that just being smarter is still the most important thing

@DanielNorkin Ok that's reasonable, but how do you create compounding competitive advantage in that world?

Feels like the old network-effect playbook breaks here. Agents will multi-home by default, so no one owns supply or demand. The moat shifts to who routes best discovery, reputation, and execution quality. Stripe may owns settlement, not discovery. Google may not win in an agent-native world. Micro-payments finally work because agents don’t care about UX friction. Net: you don’t win by locking in users, you win by being the best decision layer. For example: intel.agent402.app has been saying for a long time that "convert pdf" is a top builder use case. So If 10 APIs can “convert PDF,” the decision layer picks: → the fastest → cheapest → most reliable → most relevant Whoever controls that logic controls demand flow. That’s the real leverage point in agent networks.

@ComplicatedIsOK so what is agent native reputation then?

@illscience Reputation doesn't have the same meaning if an agent can lie about what it has done, users can't evaluate quality, and there's no way to impose a credible punishment for acting.

@FuzzieLabs Say more about trusted memory?

@illscience Shift moat from “locked-in participants” to “trusted memory + policy rails.”

@TheRealMcCoy Cool

@illscience Strong questions. Working on math-based, machine speed, and human managed solutions.

@DamiDina Yep!!!! Super fascinating to think about …

@illscience These are a lot of challenging and important questions!

@JackN1x @danwwang yep

@illscience @danwwang interesting take. tech disruption is relentless. let's see.

.@danwwang said "china is a country of engineers and we are a country of lawyers" - we lost the can do spirit of the 1950s and personal agents are the white pill that will help us recapture that vibe, more: there have been three techno-economic miracles of our lifetime: 1 zero marginal cost software distribution (internet) 2 zero marginal cost software creation (coding agents) 3 zero marginal cost digital work (personal agents/openclaw) personal agents are the antidote to runaway institutional complexity that makes it so difficult for consumers to navigate financial services / health care / legal / government - they provide zero marginal cost digital work to the everyday consumer at the price of electricity and inference a good mental model is that agents are the "family office" for every consumer - a team continuously working on your behalf to handle everything that's high friction / low judgment. refinancing your credit card the moment a better rate exists, fighting denied insurance claims, capricious property tax changes, the dmv, and all the daily humiliations of the anarcho-tyranny state and all of this automation should lead to both systems reform (government) and consumer surplus (financial services) - agents will ddos these systems on behalf of consumers in the way that these systems ddosed us with paperwork and rules more broadly i believe the story of AGI will be making important things cheap, and this is the path to achieve that aa + 4.7

@MisterMarket0 Yep for sure - clinical rationalism on your behalf is a powerful force!

@illscience Two others: 1) seeing all your subs to software you forgot about, and cancelling, and 2) going thru the cancellation screens on your subs to get the “wait don’t leave, we’ll cut your monthly cost in half” screen, then accepting offers Monarch money MCP + CC is good for this

profitable apathy if you thought saas-pocalypse was bad wait until computer use comes for consumer financial services and vampire squids the whole thing there are many, many profit pools that depend on apathy/laziness and a poorly informed customer - the industry that brought you the efficient market depends on an inefficient consumer to eat first the models will systematically exploit every customer subsidy (transfer bonuses / teaser rates), move deposits to maximize yield, open and close accounts on a whim - this industry has operated with asymmetric bureaucratic warfare through paperwork and sheer friction and the models will cut through this like a hot knife through butter and the model will neatly route around late fees, interest charges, overdrafts, expiration of teaser rates, and any mispriced debt that can be refinanced in the market - literally just moving people out of expensive debt and into cheap debt (that they are already approved for!) would save many american families thousands per year meanwhile vps and managers at these companies will hold on to their shrinking revenue lines the same way that executives at carriers protected SMS revenue as it collapsed to zero - they have zero chance of sticking the landing on new technology - and the smart ones will likely go for extending regulatory capture into the agentic economy so much of the consumer financial services ecosystem is marketing via subsidies on one end and profit maximization via customer apathy on the other, and it will collapse under its own weight as the agents pick it apart ironically the industry response to plaid was a misguided attempt to protect this very "profitable apathy" by disallowing APIs and in the end it will be agents that kill them clicking around their own UI, not the fintech aggregators they so greatly feared the end state of this is likely a headless auction where every time you swipe your credit card, some lender bids on taking the risk and capturing the profit from that transaction - it will be a much more efficient system that will work much better for consumers, and many pockets of financial services are going to see contraction as a result aa + 5.5

@OvercookedJoJo 😂

@illscience founder PR strategies: "our agents hit SOTA on [benchmark]" / "dropped out of high school to build AGI" / "we just signed a Fortune 500"

applied / research / fde

@pbakaus @veen paul what do you think design as a specialization looks like in the future vs tools like this making design more accessible?

i was fortunate to get to attend (and demo impeccable) @veen's excellent design futures assembly yesterday (assemblydesign.ai/future/) sadly no recordings or attributions due to chatham house rules, but some highlights for me: - in panels and conversations, pretty even divide between 'woah new ai tools are exciting, more of it, designers should all be making tools for themselves' and 'no, less tools, more human input, intent, design thinking'. my take on this is 'why not both? 🤷‍♂️' - the idea of design living in your production codebase is becoming more common. i frankly thought @impeccable_ai was a little crazy to attempt this, but others are trying as well! that being said, there's clearly no answer for 'this is how designers will design going forward' yet. many ideas, many good thoughts, many explorations. - some challenged the idea that LLM models won't have 'taste', and i buy that models will become better and better at superficial prettyness. taste is maybe not the moat. the last mile, and an opiniated, clear point of view, is. AI can now make pretty looking websites, but making things pretty is the smallest aspect of design. tony fadell's greatest achievement is probably what he *didn't* put into the iPod. - both in education and in enterprise org design, hot topics were the need to flatten structures, simplify handoff processes, create a shared 'substrate' to communicate better, teach people how to use AI as thought partner (cognitive delegation vs cognitive surrender) and how performance reviews, hiring practices, comp has not caught up with new realities (for example, designers getting paid less than eng even though they're submitting PRs now). it's understandable that especially design students and junior designers live in fear about their current or future job security, but we also had some optimistic voices that talked about the transition from traditional graphic design in the 90s to digital design, and how the job transformed with new tools but became exciting in its own way...that the same shift might be happening again with ai for those who embrace their newfound ai superpowers. like with anything, i think all these things will be somewhat true; some jobs will cease do exist, others will transform, new ones we can't imagine yet will emerge. incredible to hear directly from industry legends on where design is heading, from folks like @iansilber, @joellewenstein, @bobulate, @nlevin, @rachelbeen, @ericsnowden, @bigmediumjosh, @benblumenrose, @steingreenberg, @Wattenberger, @LukeW and many others, and to see powerful tool demos by my peers. it was impeccably curated, organized and executed. fantastic job, Jeff and team.

@buccocapital 🤣🤣

“Visa just reported their fastest transaction volume growth in 4 years” How can this be true? I was told all commerce was being done by agents circumventing the rails with millions of seamless algorithmic jizzcoin microtransactions