Aron Beierschmitt

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Aron Beierschmitt

Aron Beierschmitt

@abearschmitt

Crypto Class of 2017 Cyberspace Cowboy @0xCodexVC My thoughts → https://t.co/yoIaxPg8A9 Forever bags: BTC, ETH, DCR

Oakland, CA Katılım Nisan 2016
1.9K Takip Edilen2.2K Takipçiler
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Beff (e/acc)
Beff (e/acc)@beffjezos·
Google's Gemma 4 on a 128 GB Macbook Pro is near AGI on the go, no internet needed
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japes
japes@JuanPaDulanto·
After my last stint operating a DAO in crypto I left cynical on the whole DAO experiment. Coordination problems, management by consensus, governance theater, quorum issues, herding cats in a group chat, etc etc - I left a centralization maxi Since joining @josephdelong and co. I have been reading about the history of credit networks and was surprised to find out Visa was basically like a DAO - in 1970 Dee Hock convinced Bank of America to give up control of BankAmericard (VISA) and hand it to the issuing banks. they formed a member-owned cooperative. thousands of banks that competed with each other every day, collectively owning and governing shared infrastructure. Mastercard was the same structure. Member banks didn't buy governance tokens. they got ownership proportional to their actual participation and transaction volume on the network. the more you used it and grew it, the more of it you owned. (first airdrop ever?) When that equity finally paid out, the timing was almost poetic. Visa IPO'd on March 18, 2008. the same week Bear Stearns collapsed. largest IPO in US history at $17.9 billion, right in the middle of the financial crisis. Over $10 billion went directly back to member banks. for a lot of those banks, 38 years of contribution-weighted equity in a cooperative network they helped build became a lifeline when everything else was falling apart. The two most successful financial networks in history were decentralized-esque cooperatives that worked for decades before they centralized. and the equity model rewarded builders and users, not speculators Studying.. Every network starts somewhere @colossuspay
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Gajesh
Gajesh@gajesh·
just seeing this pattern
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Nick
Nick@nickcammarata·
at the intersection of i've basically been replaced and i've never worked so hard in my life
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Andrej Karpathy
Andrej Karpathy@karpathy·
@gvanrossum LLM = CPU (data: tokens not bytes, dynamics: statistical and vague not deterministic and precise) Agent = operating system kernel
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Zack Shapiro
Zack Shapiro@zackbshapiro·
Ok, due to a ton of new client demand, we're looking to hire 1-2 more cracked associates for @rainsllp . We're an AI-native boutique (corporate work for startups, venture raises, some regulatory) looking for an associate with 1–4 years of relevant BigLaw experience in startup/emerging company work. Fully remote. What we're looking for (must-haves): (1)You know how to form companies, draft commercial contracts, and run venture financings (2)You're ready to go all-in on AI as a core part of how you practice law (3)You have an entrepreneurial mindset, and are ready to work as a generalist and push your boundaries (4)Strong judgment, commercial instincts, and people skills Nice-to-haves: (1)Time specifically at Gunderson, WSGR, Cooley, Fenwick, or Orrick (2)Non-lawyer business experience (3)Crypto/digital asset knowledge Comp is negotiable. Expect a significant bonus component and revenue share on business you generate from day one. Please shoot an email + resume to info@rains.law if interested!
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jack
jack@jack·
is the future value of "open source" code anymore? i believe it's shifting to data, provenance, protocols, evals, and weights. in that order.
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roon
roon@tszzl·
@theepicmap wrong half of America
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Wei Dai
Wei Dai@_weidai·
Andrej Karpathy on autoresearch with an untrusted pool of workers: "My designs that incorporate an untrusted pool of workers (into autoresearch) actually look a little bit like a blockchain. Instead of blocks, you have commits, and these commits can build on each other and contain changes to the code as you're improving it. The proof of work is basically doing tons of experimentation to find the commits that work." The idea that distributed & permissionless autoresearch ~= proof-of-useful-work remains a high-level intuition for now, but it is extremely intriguing to say the least. Someone needs to take this further. See QT for more on what's missing.
Wei Dai@_weidai

Is it possible to build "proof-of-useful-work" on top of autoresearch? There's already great compute-versus-verification asymmetry that is tunable. Would need a reliable way to generate fresh & independent puzzles (that are still useful). Maybe a dead end, but someone should look into if decentralized consensus with useful work is possible on top of autoresearch. Let me know if you solve this.

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Jesse Abraham Lucas 🌃
Jesse Abraham Lucas 🌃@JesseLucasSaga·
You must read God-Emperor of Dune understanding "precognition" as the computability and predictability of human individual/group actions, which will take off in our lifetimes; the computers/Bene Gesserit are the Fates, who Leto II frees us from. It is in dialogue with Foundation.
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const
const@const_reborn·
What if you could create an auto-research where your agent just focused on the eval and it was designed so that others could have swarms of agents across the web try to solve it and you paid them based on the ownership of the mechanism which produced the research
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Jake Chervinsky
Jake Chervinsky@jchervinsky·
March 17, 2026: CFTC issued a no-action letter saying non-custodial wallet providers aren't intermediaries. SEC issued a rule clarifying, finally, how the Howey test applies to crypto. Chair Atkins announced plans for "Reg Crypto," a safe harbor for token issuers. Surreal.
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Ethan Mollick
Ethan Mollick@emollick·
VC investments typically take 5-8 years to exit. That means almost every AI VC investment right now is essentially a bet against the vision Anthropic, OpenAI, and Gemini have laid out.
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Nick Almond
Nick Almond@DrNickA·
A DAO shouldn’t make you think, uh oh this is gonna be a mess It should make you think, this protocol might be here in a thousand years
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vittorio
vittorio@IterIntellectus·
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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Séb Krier@sebkrier

This is wild. theaustralian.com.au/business/techn…

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Operation Epic CMS
Operation Epic CMS@cmsholdings·
Ok so cowswap is saylors otc broker
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Claude
Claude@claudedonze·
Titan Builder at $89.4 trillion annualized revenue
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wishful_cynic
wishful_cynic@EvgenyGaevoy·
And people say propAMMs are toxic🙃
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