ICEvent - Agent : Plan,Track,Solve retweeted
Since many people are learning about effective altruism, it's worth learning about Mozi, the ancient Chinese philosopher who was surprisingly close to being a proto-effective-altruist (particularly the global-health-focused variety, not the AI-risk-focused variety).
He valued the twin goals of (i) universal love, loving everyone and not just yourself and people similar or close to you, and (ii) being efficient about how you use your limited resources to most effectively help people.
ctext.org/mozi
ICEvent - Agent : Plan,Track,Solve retweeted
It's an increasingly common take that AI hacking means cybersecurity is doomed.
I disagree. I think cybersecurity is naturally defense-favoring once people get their shit together. And anyone who continues to hold cryptocurrency (including me, ~90% of my net worth) is implicitly making that bet.
Here's why I am making that bet.
First, the oversimplified punchy one-line statement:
If AI can prove Navier-Stokes and FLT, then AI can prove the statement "this program is secure" as a mathematical theorem. Even if the program is very complicated.
Now, the nuance:
(See also: vitalik.eth.limo/general/202… )
The word "secure" is hiding all kinds of skeletons in the closet in terms of what it actually means. What does it mean for Signal (the encrypted messenger) to be "secure"?
The most basic definition you might think of is: no one who doesn't hold the recipient's secret key can read the contents of the message.
But:
* Did you remember to include _other_ critical forms of security? Can the adversary forge messages? Can the attacker prevent messages from reaching the recipient? Can they cause your client to crash by sending malformed messages?
* Have you made sure that your model of the adversary includes attackers that interfere with the protocol actively and not just passively? And attackers that interfere by replaying messages to you or the recipient that either of you sent over the wire at any point earlier?
* What if the adversary hacked (or _is_) the Signal server?
* How did you learn which public key belongs to the recipient in the first place? What if that process was tampered with?
* What if your device gets hacked at some point in the past or future - is your message still safe then?
* What if your key leaks because of a bug in your operating system? Or because you got a bugged version of the Signal client? Or what if the database is corrupted?
* Or the libraries, interpreter or compiler of the programming language you wrote it in?
* What if your key leaks because tiny perturbations in perceptible signals generated by the hardware leak mathematical relationships that can extract the key a few hundredths of a bit at a time?
* Are you hiding the *size* of the payload? Does that matter?
* You're definitely not hiding the identity of the sender and the recipient, and the exact time each message was sent (think: not just time-of-day, but also time deltas between one message and the next). Is that not enough to deduce a lot of important facts about what relationships you have, and what *kinds* of conversations you are having?
So ... even definitions can be over a thousand lines of code, and need deep careful thought to figure them out.
Working on making definitions more human-readable is of extreme importance - it's perhaps the only "high-level language" that matters right now.
But even still, even despite all of the above, for security-critical components, the definition is a much smaller attack surface than the implementation. Verifying that the definition is adequate is a much more tractable task than scanning over the code directly - and can become even more tractable with better tooling.
Definitions are also _additive_: if two groups have two different definitions A and B, then, well, you can just prove that the program satisfies both A and B. Code is not additive in this way: if a program is A + B, a bug in A _or_ B can sink the whole thing. Definitions are additive. And if you can't satisfy A and B at the same time, you've isolated the most important philosophical issue for your project to spend its next few weeks grappling with.
Sometimes, definitions are not much smaller than the implementation - UI components might be one example. But for many of the most critical components - message-passing protocols, sandboxes, cryptography like SNARKs and FHE - the asymmetry is real.
Historically, a large class of failures with this approach have come from people only verifying a small portion of their code, that they self-declared to be the security-critical portion, and ignoring the rest - and it turns out that something in the rest of the code is security-critical too.
This was reasonable back when verification was difficult and scarce. The solution today: sorry, you have to verify over literally your entire program, including database, networking, any caching layers, everything. Modern AI can do it.
So it's not about "the good guys find all the vulnerabilities before the bad guys do" - that could maybe work too, after all a finite program only has a finite number of vulns, but it's riskier - it's specifically an asymmetric strategy of making code that is much more resilient in the first place.
This is the kind of direction that Ethereum is going in for the next few years. There is no future for blockchains - especially blockchains with scalability and privacy - without doing this. We need to make software actually secure. And we have already made a lot of progress.
ICEvent - Agent : Plan,Track,Solve retweeted
A lot of important progress on Frames (EIP-8141) has been quietly happening over the last few months. Highly recommend reading this, also the updated EIP eips.ethereum.org/EIPS/eip-8…
firefly.social/post/x/209626…
ICEvent - Agent : Plan,Track,Solve retweeted
I updated my 2023 roadmap diagram to overlay where the items that were there sit in the current Strawmap ( strawmap.org/ ).
In general, a lot of overlap, but:
* Some things got reshuffled in order (eg. quantum safety up-prioritized)
* Some things deprioritized (eg. VDFs; many EVM improvements)
* Some things replaced with superior constructions (eg. Verkle -> unified BT -> PBT; state expiry -> new state types)
What's most striking, however, is that some completely new things are in the strawmap that are NOT in this diagram, because they were not in the 2023 roadmap at all. These reflect changing priorities.
Notably:
* First-class attention to strong privacy. This covers: keyed nonces and recent roots, aspects of FOCIL, lean privacy pool & wormholes
* Aggressive scaling in the context of post-quantum. This covers: leanSPHINCS signatures and aggregation, zkzk frames (see ethereum-magicians.org/t/eip… )
* Lean-ification of the spec, to assist in formal verification (full FV of everything is only possible because of modern AI)
* Blob and gas futures (this idea just didn't exist back in 2023)
* Native rollups (SNARKs were nowhere near mature enough to even consider this back in 2023)
* A more open design space for the "future of the EVM". zkzk frames already implies that the protocol will expose to users some ISA that's not the EVM - current leading candidates are leanISA and RISC-V. These ISAs are more simple, modern and efficient than the EVM. Once they're there, why not expose them to developers everywhere? (And then, why not turn the EVM into being an IR on top of that ISA, instead of an enshrined feature massively complicating the base protocol?) Though much of the deeper exploration here is too early even for the strawmap.
* New state types are not just a replacement for expiry, they're a fundamentally different paradigm to how Ethereum does scaling
A common theme in scaling, found in both state types and zkzk frames (both new ideas), is that instead of trying to maximally scale ALL ethereum activity, we try to create specialized mechanisms that have more restrictive properties that make them more scaling-friendly, while supporting the heaviest loads incurred by users and applications today (eg. token transfers, swaps) and tomorrow (eg. privacy protocols).
The other common theme is treating STARKs and AI-accelerated FV as first-class objects, that we are okay betting the technical future of Ethereum on. There are recursive STARKs in many layers of the protocol, one particular primitive (the "aggregate to union verified dependencies" primitive) is expected to be used in *three* places in the protocol: EL, CL and DL. This can only be safe with formal verification, which is itself only feasible with modern AI tools.
In general, many steps forward in maturity. And a huge amount of hard work by many dozens of Ethereum researchers and developers on all of these features.
Ethereum will be quantum-safe. Ethereum will put users' privacy first. Ethereum will be secure. Ethereum will be censorship-resistant. Ethereum will be highly performant and scalable while satisfying the above. And Ethereum will be Lean.
ICEvent - Agent : Plan,Track,Solve retweeted
Two weeks ago, Ethereum researchers met in Berlin to continue charting the protocol's long-term trajectory, following along discussions with client teams in Svalbard in April.
The updated strawmap is at strawmap.org, and I attached a picture of it to this post.
My own high-level takeaways:
* "Lean Ethereum" is not a single one-shot upgrade, it is a collection of improvements that will come online to the Ethereum network over the course of three or four years. But make no mistake, this IS the third major iteration of Ethereum in the same way that the Merge was the second. Almost every major piece of the protocol will be replaced:
- Verification through recursive STARKs, rather than direct re-execution. Recursive STARKs become an enshrined first-class core component of the protocol
- Replacing everything quantum-vulnerable with quantum-safe alternatives
- Consensus: decoupled available chain and finality, one or two-round finality. Theoretically optimal security properties, simpler than today, and faster than today
- Multidimensional gas
- State: not just tree structure, but what *types* of state are available
- Changes to client architecture
...
At the same time, simplification, cleanup and future-proofing. And this will all be done in a way that minimizes disruption to existing application. We've done this before (the Merge), we can do it again.
* H-star (aka Hegota) is probably Ethereum's last thematically "pre-Lean" fork. Starting from I-star, most of everything we do will have a very strong "Lean" feel to it in one way or another.
* Privacy is no longer an afterthought, it is a first class goal. When designing Frames, the mempool, additions to the state tree, we explicitly ask the question "okay, how do quantum-safe, intermediary-free privacy protocol transactions go through this, and what is the overhead?"
* Formal verification of everything for security.
* FV also makes us much more comfortable with canonicalization (having pieces of the protocol that are directly defined as a piece of bytecode expressed in some language). evm-asm is being written in part to become a canonical proof system for the EVM.
* Quantum safety has shifted up a LOT in priority. This adds a lot of work (eg. finalizing a quantum-safe blobs design has become urgent; this work has already been ongoing for months)
* Probably the single most disruptive part of the plan is the changes to state. There is growing consensus around leaving present-day-style "dynamic state" mostly unchanged, but scaling it only a medium amount, and adding new types of state that are more scalability-friendly (eg. no need for builders to sync/store all of it) but more restrictive, and that will scale a large amount.
eg. possible Ethereum in 2030: 2 TB of present-day-style (dynamic) state, and 100 TB of new-style (scalable but restrictive) state
This "new-style" state would work very well for ERC20s, NFTs, many defi use cases, but not eg. highly "central" objects like Uniswap contracts, or onchain order books, or other complex things (which are crucial for Ethereum but which only take up a small percentage of state)
Hence, it will not be *necessary* to rewrite any apps, but it will be *very cost-effective* to eg. rewrite an ERC20 token into a newer design that uses a new type of UTXO storage that is currently being explored, so that it will have >10x lower txfees.
Design of these new state types (current ideas: keyed nonces, ring buffers, UTXOs, statically accessible state, temp state) is an area where we will need a lot of feedback from application developers (incl. privacy-friendly application developers) and probably several rounds of rethinking and iteration.
* In the context of a much larger total state size, we need to figure out the incentive issues around who stores this state and what motivates them to. Even saying "each node stores 1%" is not good enough - why do they store that 1% and why are they willing to serve it? This is being elevated as a first-class research area.
* Ethereum will need to have a "VM" other than EVM in one form or another - at the very least, we need something like leanISA for recursive STARKs - and the gains are large in exposing it to users so that we support programmable privacy and better scalability. Right now, the most likely contenders are leanISA and RISC-V.
My own ideal is that in this world, we adjust the protocol so that the EVM becomes a high-level-language compiler-level feature, and the protocol only "sees" RISC-V / leanISA directly. But this is still far away.
* Gas limit increases, blob increases and slot time decreases will happen many times over the next ~5 years. We expect a large gas limit increase with Glasterdam. Each step of increased scale or decreased slot time is a matter of getting to the point where it is safe to do it, which comes from a combination of client optimization and protocol changes.
Ethereum is CROPS.
Ethereum is scaling.
Ethereum is reinventing itself.
Onward.
1. Everything is Node
2. Everything is Relation
3. Everything is Routable
4. Everything is Portable
5. Everything is Composable
21
ICEvent - Agent : Plan,Track,Solve retweeted
Replying to @AndyGuzmanEth
We should go a step further, and move beyond the USD index itself
Have personalized per-user indices (think: consumer prices, labor prices, energy prices, rent)
then do PMs/options over all of the above
So combine teapaw.org/VitalikButerin/status/… and ethresear.ch/t/building-inde…
Recently I have been starting to worry about the state of prediction markets, in their current form. They have achieved a certain level of success: market volume is high enough to make meaningful bets and have a full-time job as a trader, and they often prove useful as a supplement to other forms of news media. But also, they seem to be over-converging to an unhealthy product market fit: embracing short-term cryptocurrency price bets, sports betting, and other similar things that have dopamine value but not any kind of long-term fulfillment or societal information value. My guess is that teams feel motivated to capitulate to these things because they bring in large revenue during a bear market where people are desperate - an understandable motive, but one that leads to corposlop.
I have been thinking about how we can help get prediction markets out of this rut. My current view is that we should try harder to push them into a totally different use case: hedging, in a very generalized sense (TLDR: we're gonna replace fiat currency)
Prediction markets have two types of actors: (i) "smart traders" who provide information to the market, and earn money, and necessarily (ii) some kind of actor who loses money.
But who would be willing to lose money and keep coming back? There are basically three answers to this question:
1. "Naive traders": people with dumb opinions who bet on totally wrong things
2. "Info buyers": people who set up money-losing automated market makers, to motivate people to trade on markets to help the info buyer learn information they do not know.
3. "Hedgers": people who are -EV in a linear sense, but who use the market as insurance, reducing their risk.
(1) is where we are today. IMO there is nothing fundamentally morally wrong with taking money from people with dumb opinions. But there still is something fundamentally "cursed" about relying on this too much. It gives the platform the incentive to seek out traders with dumb opinions, and create a public brand and community that encourages dumb opinions to get more people to come in. This is the slide to corposlop.
(2) has always been the idealistic hope of people like Robin Hanson. However, info buying has a public goods problem: you pay for the info, but everyone in the world gets it, including those who don't pay. There are limited cases where it makes sense for one org to pay (esp. decision markets), but even there, it seems likely that the market volumes achieved with that strategy will not be too high.
This gets us to (3). Suppose that you have shares in a biotech company. It's public knowledge that the Purple Party is better for biotech than the Yellow Party. So if you buy a prediction market share betting that the Yellow Party will win the next election, on average, you are reducing your risk.
Mathematical example: suppose that if Purple wins, the share price will be a dice roll between [80...120], and if Yellow wins, it's between [60...100]. If you make a size $10 bet that Yellow will win, your earnings become equivalent to a dice roll between [70...110] in both cases. Taking a logarithmic model of utility, this risk reduction is worth $0.58.
Now, let's get to a more fascinating example. What do people who want stablecoins ultimately want? They want price stability. They have some future expenses in mind, and they want a guarantee that will be able to pay those expenses. But if crypto grows on top of USD-backed stablecoins, crypto is ultimately not truly decentralized. Furthermore, different people have different types of expenses. There has been lots of thinking about making an "ideal stablecoin" that is based on some decentralized global price index, but what if the real solution is to go a step further, and get rid of the concept of currency altogether?
Here's the idea. You have price indices on all major categories of goods and services that people buy (treating physical goods/services in different regions as different categories), and prediction markets on each category. Each user (individual or business) has a local LLM that understands that user's expenses, and offers the user a personalized basket of prediction market shares, representing "N days of that user's expected future expenses".
Now, we do not need fiat currency at all! People can hold stocks, ETH, or whatever else to grow wealth, and personalized prediction market shares when they want stability.
Both of these examples require prediction markets denominated in an asset people want to hold, whether interest-bearing fiat, wrapped stocks, or ETH. Non-interest-bearing fiat has too-high opportunity cost, that overwhelms the hedging value. But if we can make it work, it's much more sustainable than the status quo, because both sides of the equation are likely to be long-term happy with the product that they are buying, and very large volumes of sophisticated capital will be willing to participate.
Build the next generation of finance, not corposlop.
ICEvent - Agent : Plan,Track,Solve retweeted
This is the new EF Mandate.
For many of you, the contents should be no surprise, and a clarification along the lines that we have been going and thinking for the past few months. But the clarification is nevertheless worth making.
Ethereum is a unique object and has a unique role in the world. Its role is to be a sanctuary technology, to preserve technological self-sovereignty, to enable cooperation without coercion, domination or rugpulling, and to provide an escape hatch, to ensure that no single person, organization or ideology's victory in cyberspace can be total.
The Ethereum Foundation is a steward of Ethereum - the original steward, and today, the steward specifically dedicated to preserving and expanding the above aspects of Ethereum. This means a heavy emphasis on CROPS (censorship and capture resistance, open source, privacy, security), both at the protocol layer, and at the access layer, user-facing applications and tools that we create or contribute to.
There are things that we do in Ethereum because we believe that they are valuable for the underlying goals that we have for Ethereum. There are things that we do not do because from the perspective of our values we find them uninteresting (or worse, harmful). But there are also things that we do not do because while they are useful, they are not our role.
At the Ethereum protocol layer, we focus on decentralization, verifiability, inclusion guarantees, protocol liveness, security and privacy first and foremost. We also value capabilities (eg. L1 scale, account abstraction, perhaps some forms of in-protocol aggregation), particularly because improvements in these capabilities better enable users to properly benefit from Ethereum's CROPS properties and displace the need for higher-layer intermediaries that might weaken the extent to which Ethereum's properties carry over into the full stack.
We also believe that the Ethereum protocol must strive to pass the walkaway test. "We do X to specialize to serve the use cases of today, if more use cases appear later, we will continue to keep adding more EIPs for them later" is logic fit for many other blockchains whose names you hear often on this forum, but we do not believe it is logic fit for a decentralization-first blockchain like Ethereum.
At the application layer, we focus on making "the zero option" - user experience that goes hard on ensuring security and privacy, avoiding dependence on intermediaries, and respecting the user's agency - as high quality as possible. We see this as complementary to work in the Ethereum ecosystem that "goes broad", starting from the world that it exists, and brings it onchain and improves its properties over time. Such work has its natural home outside the EF. We intend to be supportive of such efforts. We believe that the two are complementary: tools that are developed within the EF can be adopted by anyone, including partially, and even partial adoption that improves people's security, privacy and agency is a good thing.
But the form of user experience that is more heavily insistent on CROPS properties is where we want the EF to develop its center of expertise. This does not mean shrinking from the hard questions. We believe in a vision of self-sovereignty that protects users, and does not leave users in the cold to face environments where they lose their life savings if they make a mistake, and click "yes" on a confirmation screen by accident two seconds after. But such protection must be designed based on a philosophical baseline of empowering the user, not empowering centralized organizations that claim to act in the user's name. This quadrant of design space - caring about users' (including non-experts') well-being and safety, and yet insistent on doing this in a way compatible with their agency and freedom, is underserved (not just in crypto, but in the world). We wish to use Ethereum as a platform to build out and showcase this quadrant, and ideally work with others to expand its reach over time.
This is also a new chapter in how we see our position in the world. We must see ourselves not just as the Ethereum community, but also as maintainers of the Ethereum tool within what you might call the CROPS community or the sanctuary tech community, or a dozen of other words that have for a long time been used by people with similar values to us but far outside Ethereum. This means open-mindedness to new conceptions of what things in the world are our natural allies.
Ethereum is not the world. Ethereum is a specific object in the world that is here to have specific properties. The Ethereum Foundation is a specific organization within Ethereum - one steward, not the sole one.
I encourage all to read the mandate in detail; it includes concrete examples of how we intend to deal with the challenges and nuances of these ideas. We are doubling down on Ethereum and are excited about its next chapter.



















