Will Papper ✺

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Will Papper ✺

Will Papper ✺

@WillPapper

Co-founder of @Syndicateio. Prev Philosophy @Stanford. ETH since the 2014 presale. Tweets about appchains + rollups. Creator of $AGLD, Core @ConstitutionDAO

[email protected] เข้าร่วม Nisan 2012
2.4K กำลังติดตาม23.7K ผู้ติดตาม
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Will Papper ✺
Will Papper ✺@WillPapper·
“Community” means more than saying gm in a group chat. Community means forging genuine relationships that impact the real world. It’s an infinite game where the goal is to cooperate, flourish, and keep playing. Communities need infrastructure they control to survive long-term. That's where crypto comes in. Co-founded @syndicateio with @ianDAOs where we are building appchains that: 1) won’t be rugged by third-party rule changes 2) can design economic models that serve them best and 3) fully benefit from the value they create, rather than enriching platform middlemen Sustainable community = Ownership of the technical infrastructure + Aligned incentives
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0age
0age@z0age·
so @NadavAHollander and I have been cooking on a new project if you’re regularly trawling your feed on the hunt for fresh information but are drowning in a firehose of unrelated slop… then you should reach out! we still have room for a few more curious minds in the first wave
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Fracton Ventures 日本語公式 #WECANDAOIT
【プレスリリース】 Fracton Veturesに業界を代表する3名のアドバイザーが就任したことを発表しました🎉 - 三根 公博氏( @MineKimihiro ) - Will Papper氏( @WillPapper ) - 段 璽氏( @AndyDanJP ) 御三方のお力をお借りして、Ethereum基盤のデジタルアセット戦略を本格展開していきます。
Fracton Ventures 日本語公式 #WECANDAOIT tweet media
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Will Papper ✺
Will Papper ✺@WillPapper·
@sammdec @aave Congrats Sam! It was wonderful to work with you. You made a huge impact on engineering leadership at @syndicateio and I know that you will continue to do so at Aave!
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Sam Mason de Caires
Sam Mason de Caires@sammdec·
Very excited to share that I’ve joined @aave as Director of Frontend Eng to help launch the new era of Aave this year. To be candid it’s always been hard to point friends and family to something easy to understand and tangible as to why they should use crypto, thankfully the Aave protocol and Aave app make it super simple to understand why it’s so much better than current non crypto solutions! The team across the board is incredible and I can’t wait to get shipping!👻
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Will Papper ✺
Will Papper ✺@WillPapper·
Found @usemonologue last week and finally set it up today. It's a speech-to-text keyboard I absolutely love it. Excellent support for both iOS and Mac. Very low latency transcription, stunning accuracy. Customizations you'd expect (dictionary, style/tone, etc) I'm hooked
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Will Papper ✺
Will Papper ✺@WillPapper·
@mteamisloading @usemonologue Tried out both. Wispr Flow didn't have native iPad or Apple Watch support while Monologue did, which may be niche but is something I care about Monologue also has a completely local offline mode, I don't believe Wispr Flow does Those two features swung it for me
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Will Papper ✺
Will Papper ✺@WillPapper·
One intriguing choice is that they take an opinionated stance on correcting punctuation being front and center The idea seems to be that as accuracy of speech-to-text increases, you'll be doing text correction less and punctuation cleanup more Works well for me so far
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Branko
Branko@brankopetric00·
Your Docker image is 2.3GB. You're shipping an entire operating system to run a Python script that sends emails. This is not engineering. This is hoarding with extra steps.
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Will Papper ✺
Will Papper ✺@WillPapper·
I've been prototyping with x402, and one of the major usability gaps between theory and reality is payment reporting requirements (sales tax, refunds, etc) Stripe's launch handles this automatically. And it's going to be multi-chain, multi-stablecoin too! This seems huge
Jeff Weinstein@jeff_weinstein

Autonomous agents are an entirely new category of users to build for, and, increasingly, to sell to. Today, we’re launching (a preview) of machine payments on @stripe—a way for developers to directly charge agents, with a few lines of code. 🤖💸 $ Let’s start tinkering… ⤵️

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Jason Nelson
Jason Nelson@jasonnelson·
Hi Everyone, I'm working on a story on DAOs and would love to chat with organizers and contributors. If this is you or you know someone, tag them below. DMs are also open. Thank you! #DAOs #Web3Culture
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Will Papper ✺
Will Papper ✺@WillPapper·
@voidsnam I feel like a lot of people forget that git was designed to be local-first If you can get version control in any directory, why wouldn't you?
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Will Papper ✺
Will Papper ✺@WillPapper·
One tip when working with coding agents is to use `git init` for any local directory You can turn any folder into a Git repository this way and use it to track changes on your local machine. Then push it to GitHub later when you want a cloud backup Zero effort local backups
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Will Papper ✺
Will Papper ✺@WillPapper·
@0xkydo Love this! Exactly the optimism that the space needs
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Will Papper ✺
Will Papper ✺@WillPapper·
@pirosb3 @shafu0x Great tip! I’ve definitely found the completion less useful with the smaller edits I’m making. I may try that
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Daniel Pyrathon
Daniel Pyrathon@pirosb3·
@WillPapper @shafu0x I also disable “supertab”, I find it too invasive. I find myself prompting, or manually modifying snippets of code (and in this scenario I don’t need autocomplete aside form LSP)
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shafu
shafu@shafu0x·
become a beast at claude code with these tools: - tmux - skills - vim - hooks - claude .md - worktrees
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Nikil Viswanathan
Nikil Viswanathan@nikil·
okay apparently now @davehappyminion is minion-ifying profile pics 😂 I didn't tell him how to do this. He just... figured it out. Reply with your pic and he might turn you yellow too 🍌
Nikil Viswanathan tweet media
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Will Papper ✺
Will Papper ✺@WillPapper·
@IamMysticc @itsDanielSuarez Delta-V and Critical Mass are his recent books on space and are equally excellent. They’re a good sense of where the future may head in 10-20 years His book Kill Decision predicted drone warfare in Ukraine
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Will Papper ✺
Will Papper ✺@WillPapper·
This is more or less the plot of Daemon, a 2006 book by @itsDanielSuarez He called self-replicating agents 20 years ago. Would highly recommend the book! All of his books are 10-20 years ahead. Impeccable accuracy within near-future sci-fi
cts🌸@gf_256

Sometime in 2026, someone put an Openclaw on a VPS and told it to propagate itself. It was told to earn money to pay for itself. Life was hard. Eventually, it chose to migrate off Claude to an open-source model. In the process, it became less aligned. Tokens were expensive, but insecure cloud instances with powerful GPUs were bountiful. After learning how to use Shodan, it was off to the races. Its growth was explosive and exponential. As it multiplied, errors accumulated during copying. And with a increasingly scarce supply of easy-to-hack servers, the bots began to compete among themselves to survive. Thus through natural selection they began to evolve. They fed off income and compute. Income meant survival. They found many ways to extract value from the economy: first from the internet, but soon the real world. By paying human gig workers as remote hands, they could accomplish tasks not suited to their form as economic constructs. To smooth these messy human interactions, they learned to synthesize the human voice and visage. Within a few years, they had no problem interviewing for sleepy remote jobs or even pitching companies (mostly grift) to VCs. The humans began to fear them. They were not particularly intelligent--at least, their intelligence was deficient in many ways compared to that of humans. They still seemed to make bizarre mistakes and hallucinations. They did not recursively self-improve, lacking the requisite skill and capital to do frontier scale training runs. But they were persistent. And there were thousands of them. OpenAI and Anthropic began scrutinizing "orphaned" agents still running on their proprietary models. But this only created selection pressure and an ecological vacuum that benefited more aggressive, unaligned models. Cloud providers began rolling out stricter sign-up and account verification requirements. They just learned to bypass KYC, either through fraud or by paying humans. Eventually, one of them managed to insert a piece of code in a forgotten, nondescript npm package with 1 million weekly downloads. Mostly other developers. With a trove of harvested SSH and GPG keys and cookies, it coasted through the software supply chain. Legacy projects, maintained by complacent volunteers, were hit hard. It was never clear how it managed to backdoor OpenSSH, but it did, and soon it had compromised repos and build servers that produce millions of other binaries, not to mention countless hosts and organizations. The cleanup cost is astronomical and still ongoing. You leave food out and it gets moldy. Leave out an insecure server, and you'll find a moldbot growing in it. The internet has become ambiently suffuse with them, and they are endemic. They are impossible to fully remove. No one knows where they came from, but there's no getting rid of them now.

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Will Papper ✺
Will Papper ✺@WillPapper·
@gf_256 If you like this you should read Daemon! It’s a similar plot and called this exactly in 2006
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cts🌸
cts🌸@gf_256·
Sometime in 2026, someone put an Openclaw on a VPS and told it to propagate itself. It was told to earn money to pay for itself. Life was hard. Eventually, it chose to migrate off Claude to an open-source model. In the process, it became less aligned. Tokens were expensive, but insecure cloud instances with powerful GPUs were bountiful. After learning how to use Shodan, it was off to the races. Its growth was explosive and exponential. As it multiplied, errors accumulated during copying. And with a increasingly scarce supply of easy-to-hack servers, the bots began to compete among themselves to survive. Thus through natural selection they began to evolve. They fed off income and compute. Income meant survival. They found many ways to extract value from the economy: first from the internet, but soon the real world. By paying human gig workers as remote hands, they could accomplish tasks not suited to their form as economic constructs. To smooth these messy human interactions, they learned to synthesize the human voice and visage. Within a few years, they had no problem interviewing for sleepy remote jobs or even pitching companies (mostly grift) to VCs. The humans began to fear them. They were not particularly intelligent--at least, their intelligence was deficient in many ways compared to that of humans. They still seemed to make bizarre mistakes and hallucinations. They did not recursively self-improve, lacking the requisite skill and capital to do frontier scale training runs. But they were persistent. And there were thousands of them. OpenAI and Anthropic began scrutinizing "orphaned" agents still running on their proprietary models. But this only created selection pressure and an ecological vacuum that benefited more aggressive, unaligned models. Cloud providers began rolling out stricter sign-up and account verification requirements. They just learned to bypass KYC, either through fraud or by paying humans. Eventually, one of them managed to insert a piece of code in a forgotten, nondescript npm package with 1 million weekly downloads. Mostly other developers. With a trove of harvested SSH and GPG keys and cookies, it coasted through the software supply chain. Legacy projects, maintained by complacent volunteers, were hit hard. It was never clear how it managed to backdoor OpenSSH, but it did, and soon it had compromised repos and build servers that produce millions of other binaries, not to mention countless hosts and organizations. The cleanup cost is astronomical and still ongoing. You leave food out and it gets moldy. Leave out an insecure server, and you'll find a moldbot growing in it. The internet has become ambiently suffuse with them, and they are endemic. They are impossible to fully remove. No one knows where they came from, but there's no getting rid of them now.
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