Post-Economic because @x pays me. Currently building @ethereum via @ethlabs_org. Previously built @ethereum via @ethereumfndn, @optimism & @coinbase.

I’m curious how many Italians follow me
Taste is all that matters
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follow @fradamt the man is cracked and Italian
Francesco ships at insane speed
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Taste is all that matters
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I might have to just buy a new laptop at this point. What do you guys recommend?
binji did ur new macbook arrive
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binji retweeted
Today we are announcing an AI-assisted breakthrough in Ethereum development.
One step closer to 4-8x faster Ethereum finality! It took some time and lots of tokens, but we now have a formally verified proposal for a decoupled consensus protocol in I* (a future Ethereum upgrade)! Not yet a full spec (up next), but it includes all the key consensus-relevant details to become one. Since Ethereum aspires to be live without most of the stake online, the protocol involves many more components than a normal BFT protocol, and its correctness involves much more than standard safety and liveness. Those nuanced properties are now verified! What's more, I came away convinced that all protocol design will involve AI-assisted Formal Verification in the future, both for correctness and iteration speed. The work wasn't limited to just: Design the protocol -> Formally verify it Instead, the loop became more like: Design -> Formal Model -> Find exactly what breaks and why -> Redesign it. For a fairly complicated protocol like this one, I think having the Lean model be part of the design loop played a big role in accelerating the process. A future with agents paired with formal models is a superpower for Ethereum development, because they can then use those models to find exactly where an argument breaks down, formalize counterexamples, test proposed fixes, iterate on the protocol. Many details that would slip under the radar when asking agents (and indeed, humans) can now be specified exactly and checked by the Lean kernel. This then forces agents to be more precise and lets them make verifiable progress on their own. It's been incredible to see this play out, seeing agents find gaps and propose protocol changes to fix them. In other words, autoresearch can speed up protocol design, formal verification is here to stay, and Ethereum Finality will get faster.
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This is wild for Crypto x AI. > Be @fradamt > OG Ethereum researcher now at @ethlabs_org > A named author on 18 EIPs (Ethereum Improvement Proposals) > Work on Ethereum consensus where even a tiny bug can break agreement across the entire network and put billions of dollars at risk > Can't exactly vibe code it and say "we'll patch it Monday" if something breaks.. > mustbecareful.jpg > Add AI agents and a mathematical proof checker (lean) to his workstream > Agents work overtime to find out where something breaks, produce counterexamples and proposes fixes too > No "trust me bro" involved in the process; everything must be verified through formal mathematical proofs (formal verification) > Basically like saying "show your work" except you can't bullshit the teacher > Turns out all of this makes protocol design way faster > Emerge from the AI-assisted crypto research trenches with a fully formally verified spec targeting 4-8x speed bumps in Ethereum finality. TLDR: Development of frontier technologies that cannot afford to go wrong, ever, just got way faster.
One step closer to 4-8x faster Ethereum finality! It took some time and lots of tokens, but we now have a formally verified proposal for a decoupled consensus protocol in I* (a future Ethereum upgrade)! Not yet a full spec (up next), but it includes all the key consensus-relevant details to become one. Since Ethereum aspires to be live without most of the stake online, the protocol involves many more components than a normal BFT protocol, and its correctness involves much more than standard safety and liveness. Those nuanced properties are now verified! What's more, I came away convinced that all protocol design will involve AI-assisted Formal Verification in the future, both for correctness and iteration speed. The work wasn't limited to just: Design the protocol -> Formally verify it Instead, the loop became more like: Design -> Formal Model -> Find exactly what breaks and why -> Redesign it. For a fairly complicated protocol like this one, I think having the Lean model be part of the design loop played a big role in accelerating the process. A future with agents paired with formal models is a superpower for Ethereum development, because they can then use those models to find exactly where an argument breaks down, formalize counterexamples, test proposed fixes, iterate on the protocol. Many details that would slip under the radar when asking agents (and indeed, humans) can now be specified exactly and checked by the Lean kernel. This then forces agents to be more precise and lets them make verifiable progress on their own. It's been incredible to see this play out, seeing agents find gaps and propose protocol changes to fix them. In other words, autoresearch can speed up protocol design, formal verification is here to stay, and Ethereum Finality will get faster.
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binji retweeted
One step closer to 4-8x faster Ethereum finality! It took some time and lots of tokens, but we now have a formally verified proposal for a decoupled consensus protocol in I* (a future Ethereum upgrade)! Not yet a full spec (up next), but it includes all the key consensus-relevant details to become one. Since Ethereum aspires to be live without most of the stake online, the protocol involves many more components than a normal BFT protocol, and its correctness involves much more than standard safety and liveness. Those nuanced properties are now verified! What's more, I came away convinced that all protocol design will involve AI-assisted Formal Verification in the future, both for correctness and iteration speed. The work wasn't limited to just: Design the protocol -> Formally verify it Instead, the loop became more like: Design -> Formal Model -> Find exactly what breaks and why -> Redesign it. For a fairly complicated protocol like this one, I think having the Lean model be part of the design loop played a big role in accelerating the process. A future with agents paired with formal models is a superpower for Ethereum development, because they can then use those models to find exactly where an argument breaks down, formalize counterexamples, test proposed fixes, iterate on the protocol. Many details that would slip under the radar when asking agents (and indeed, humans) can now be specified exactly and checked by the Lean kernel. This then forces agents to be more precise and lets them make verifiable progress on their own. It's been incredible to see this play out, seeing agents find gaps and propose protocol changes to fix them. In other words, autoresearch can speed up protocol design, formal verification is here to stay, and Ethereum Finality will get faster.
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Yesterday, @Ondo & @BlackRock released a first of its kind Intelligent Portfolio. And 99% of it is on @ethereum.
Introducing Ondo Intelligent Portfolios, the first three portfolios powered by BlackRock. Ondo Intelligent Portfolios introduces a new onchain product category: curated investment portfolios delivered as single onchain transferable tokens. The first three portfolios are based on portfolio strategies developed by BlackRock for Ondo, marking the first time eligible onchain investors can access exposure to such strategies through a single token. 1. BLKHIon: Ondo High Income Powered by BlackRock 2. BLKDIGon: Ondo Diversified Growth Powered by BlackRock 3. BLKGRWon: Ondo High Growth Powered by BlackRock Diversified, professionally constructed strategies have historically required brokerage accounts and traditional fund structures. Now, delivered as peer-to-peer transferable tokens from Ondo, these onchain portfolios become accessible to eligible non-US investors in permitted jurisdictions through the wallets, exchanges, and DeFi applications they already use. “Tokenization creates new ways for portfolio strategies to be delivered through digital infrastructure. Diversified portfolio strategies can be incorporated into tokenized investment products, enabling eligible investors to access diversified allocations through a single instrument. It shows how established portfolio construction approaches can be delivered through new channels and technologies.” - Lisa O’Connor, Global Head of the Model Portfolio Solutions team and Co-CIO for Global Solutions within the Multi-Asset Strategies group at BlackRock Ondo Intelligent Portfolios can unlock novel capabilities: → Programmatic rebalancing → Full composability with DeFi → Complete transparency onchain → Multiple asset classes in a single token This is just the start for Ondo Intelligent Portfolios. The infrastructure is now in place for leading financial institutions to bring their asset allocation expertise onchain.
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Thank you to @Kira_sama for the find!
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Agents are orchestrators, handling execution on behalf of their principals, users Agents care about the fine print: security, cost, and latency, in ways that users cannot cognitively assess to the fullest extent This is why we make Ethereum more secure, cheaper and yes, faster
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binji retweeted
the best thing about crypto is there is always another opportunity
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binji retweeted
Type of pic that gets sent in the groupchat the one night you couldn’t go out
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binji retweeted
L1 design is more like city planning than pure software design - focus on the 2-3 things the city can do well for its residents and businesses for it to flourish. Love that the guys at ETHLabs are doing just that: - FCR - faster finality - fast blocks - pushing L2s to fast ZK bridges There’s a risk of turning ETH L1 into a lopsided city where you have 3-4 towering skyscrapers but a city still running on horse-and-carriage on the ground floor. That’s bad for everyone, L2s, their apps and the L1. ETHLabs really gets this.
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binji retweeted
I’ve spent five years building in crypto and lately I couldn’t shake a single question: Why did we stop experimenting? Here are my thoughts on how we bring back that early excitement through a practical framework on mechanism design:
Article

Why Crypto Stopped Innovating (And How We Fix It)

Crypto is, at its core, a sprawling array of complex economic systems operating in a hyper-adversarial environment. When thousands of anonymous, hyper-rational players interact with real economic

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I’m excited for the human-reaction to scaled AI. It’ll be messy, but in the end worth it because it’ll get us to discover ourselves in ways we were previously resisting. However, this vision is NOT a given, and we cannot sacrifice human liberties in the name of progress. To strawman this: > The first wave of AI makes effort seem redundant, anyone can do anything and moats get fully destroyed. > Most (not all) people will become jaded because they’re being outperformed by machine intelligence. “Why should I put effort into my job, the AI can just oneshot this.” > Today, for most, their job is their main social identifier, I think this is inherently limiting and AI will end up breaking it. > This will hopefully get people to find purpose outside of mechanical labor and their jobs, and instead focus more on their uniqueness. > All of this eventually leads to so much more beauty and creation than purely corporate culture could ever conceive of. I think we’re at the turning point towards it and it’ll lead to a ton of investable businesses that most people aren’t thinking about today, some of which are already picking up steam in techno-forward circles like SF. nitter.net/binji_x/status/2051605…
some human things I’m tracking > religious schools, retreats, pilgrimages, and faith-based media rising as people search for moral certainty > “human-only” spaces: restaurants, schools, clubs, apps, and retreats that ban synthetic media, recording, phones etc > pet daycares, dog hotels, pet insurance, and premium pet food begging to skyrocket as loneliness increases and people defer to furry friends > post-career identity markets: people living longer and needing new titles, tribes, rituals, status games, and reasons to wake up after professional relevance fades > private members’ clubs solidify as paid social graphs for adults who lost community to remote work > dating apps fragmenting into belief-based and lifestyle-based matchmaking since infinite choice has become exhausting > family formation will become a premium service category: matchmaking, fertility, childcare, coaching, home design etc > eldercare will start shifting to more at-home treatments due to ai (over time it’ll be cheaper than care homes too) > analog cameras, vinyl, printed books, notebooks, “dumbphones,”and mechanical watches grow as anti-synthetic status objects > handmade goods becoming trust objects because machine abundance makes human effort valuable again > live events becoming more valuable as recorded media becomes forgettable > glp-1s are just the first mass consumer drug for editing desire, more to come. > fertility tech booming because career timelines and biological timelines are now in open conflict > oral exams, apprenticeships, portfolios, and live demonstrations returning because written work is becoming cheap to fake > digital detox products growing > air quality, water filtration, food sourcing, and sleep environments becoming mainstream status markers > luxury shifting from owning more things to accessing peace, beauty, privacy, time, and high-trust rooms > the biggest consumer opportunities coming from psychological scarcity: belonging, certainty, attention, embodiment, trust, and continuity
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I am doing a public challenge on not using AI generated text for any tweets, but I am left wondering how much of my own human writing has been influenced by my constant reading of AI generated text. We are what we consume after all. Anyways, $2730 (and rising!) at stake.
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genuinely so worthy of an article, but had it in my bookmarks for a while. one of the many great reason binji has always been my goat aside his persona and advices are his writing. good piece, got v emotional from that ftx part, i really still wonder how it felt that day.
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Reminder that if you spot AI writing in my new tweets, and can prove it with @pangram AI, then you are entitled to a future $150,000 (1 ETH).
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Full rules here, pictures don’t count (I’m not a designer I need chat for that).
CHALLENGE From this moment onwards, if you EVER think my writing seems AI generated please tag @pangram and ask if it is. If it turns out to be 100% AI, I will give you 1 ethereum:native Note: Only new posts count.
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