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Web3 Has a Memory Problem — And We Finally Have a Fix

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Web3 has a memory problem. Not in the “we forgot something” sense, but in the core architectural sense. It doesn’t have a real memory layer.

Blockchains today don’t look completely alien compared to traditional computers, but a core foundational aspect of legacy computing is still missing: A memory layer built for decentralization that will support the next iteration of the internet.

Muriel Médard is a speaker at Consensus 2025 May 14-16. Register to get your ticket here.

After World War II, John von Neumann laid out the architecture for modern computers. Every computer needs input and output, a CPU for control and arithmetic, and memory to store the latest version data, along with a “bus” to retrieve and update that data in the memory. Commonly known as RAM, this architecture has been the foundation of computing for decades.

At its core, Web3 is a decentralized computer — a “world computer.” At the higher layers, it’s fairly recognizable: operating systems (EVM, SVM) running on thousands of decentralized nodes, powering decentralized applications and protocols.

But, when you dig deeper, something’s missing. The memory layer essential for storing, accessing and updating short-term and long term data, doesn’t look like the memory bus or memory unit von Neumann envisioned.

Instead, it’s a mashup of different best-effort approaches to achieve this purpose, and the results are overall messy, inefficient and hard to navigate.

Here’s the problem: if we’re going to build a world computer that’s fundamentally different from the von Neumann model, there better be a really good reason to do so. As of right now, Web3’s memory layer isn’t just different, it’s convoluted and inefficient. Transactions are slow. Storage is sluggish and costly. Scaling for mass adoption with this current approach is nigh impossible. And, that’s not what decentralization was supposed to be about.

But there is another way.

A lot of people in this space are trying their best to work around this limitation and we’re at a point now where the current workaround solutions just cannot keep up. This is where using algebraic coding, which makes use of equations to represent data for efficiency, resilience and flexibility, comes in.

The core problem is this: how do we implement decentralized code for Web3?

A new memory infrastructure

This is why I took the leap from academia where I held the role of MIT NEC Chair and Professor of Software Science and Engineering to dedicate myself and a team of experts in advancing high-performance memory for Web3.

I saw something bigger: the potential to redefine how we think about computing in a decentralized world.

My team at Optimum is creating decentralized memory that works like a dedicated computer. Our approach is powered by Random Linear Network Coding (RLNC), a technology developed in my MIT lab over nearly two decades. It’s a proven data coding method that maximizes throughput and resilience in high-reliability networks from industrial systems to the internet. 

Data coding is the process of converting information from one format to another for efficient storage, transmission or processing. Data coding has been around for decades and there are many iterations of it in use in networks today. RLNC is the modern approach to data coding built specifically for decentralized computing. This scheme transforms data into packets for transmission across a network of nodes, ensuring high speed and efficiency.

With multiple engineering awards from top global institutions, more than 80 patents, and numerous real-world deployments, RLNC is no longer just a theory. RLNC has garnered significant recognition, including the 2009 IEEE Communications Society and Information Theory Society Joint Paper Award for the work «A Random Linear Network Coding Approach to Multicast.» RLNC’s impact was acknowledged with the IEEE Koji Kobayashi Computers and Communications Award in 2022.

RLNC is now ready for decentralized systems, enabling faster data propagation, efficient storage, and real-time access, making it a key solution for Web3’s scalability and efficiency challenges.

Why this matters

Let’s take a step back. Why does all of this matter? Because we need memory for the world computer that’s not just decentralized but also efficient, scalable and reliable.

Currently, blockchains rely on best-effort, ad hoc solutions that achieve partially what memory in high-performance computing does. What they lack is a unified memory layer that encompasses both the memory bus for data propagation and the RAM for data storage and access.

The bus part of the computer should not become the bottleneck, as it does now. Let me explain.

“Gossip” is the common method for data propagation in blockchain networks. It is a peer-to-peer communication protocol in which nodes exchange information with random peers to spread data across the network. In its current implementation, it struggles at scale.

Imagine you need 10 pieces of information from neighbors who repeat what they’ve heard. As you speak to them, at first you get new information. But as you approach nine out of 10, the chance of hearing something new from a neighbor drops, making the final piece of information the hardest to get. Chances are 90% that the next thing you hear is something you already know.

This is how blockchain gossip works today — efficient early on, but redundant and slow when trying to complete the information sharing. You would have to be extremely lucky to get something new every time.

With RLNC, we get around the core scalability issue in current gossip. RLNC works as though you managed to get extremely lucky, so every time you hear info, it just happens to be info that is new to you. That means much greater throughput and much lower latency. This RLNC-powered gossip is our first product, which validators can implement through a simple API call to optimize data propagation for their nodes.

Let us now examine the memory part. It helps to think of memory as dynamic storage, like RAM in a computer or, for that matter, our closet. Decentralized RAM should mimic a closet; it should be structured, reliable, and consistent. A piece of data is either there or not, no half-bits, no missing sleeves. That’s atomicity. Items stay in the order they were placed — you might see an older version, but never a wrong one. That’s consistency. And, unless moved, everything stays put; data doesn’t disappear. That’s durability.

Instead of the closet, what do we have? Mempools are not something we keep around in computers, so why do we do that in Web3? The main reason is that there is not a proper memory layer. If we think of data management in blockchains as managing clothes in our closet, a mempool is like having a pile of laundry on the floor, where you are not sure what is in there and you need to rummage.

Current delays in transaction processing can be extremely high for any single chain. Citing Ethereum as an example, it takes two epochs or 12.8 minutes to finalize any single transaction. Without decentralized RAM, Web3 relies on mempools, where transactions sit until they’re processed, resulting in delays, congestion and unpredictability.

Full nodes store everything, bloating the system and making retrieval complex and costly. In computers, the RAM keeps what is currently needed, while less-used data moves to cold storage, maybe in the cloud or on disk. Full nodes are like a closet with all the clothes you ever wore (from everything you’ve ever worn as a baby until now).

This is not something we do on our computers, but they exist in Web3 because storage and read/write access aren’t optimized. With RLNC, we create decentralized RAM (deRAM) for timely, updateable state in a way that is economical, resilient and scalable.

DeRAM and data propagation powered by RLNC can solve Web3’s biggest bottlenecks by making memory faster, more efficient, and more scalable. It optimizes data propagation, reduces storage bloat, and enables real-time access without compromising decentralization. It’s long been a key missing piece in the world computer, but not for long.

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Bitcoin Climbs to $105K; Crypto ETF Issuer Sees 35% Upside

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Cryptocurrencies regained footing on Monday after a rocky start to the trading session, mirroring a broader recovery in risk assets as traders digested Moody’s downgrade of U.S. government bonds.

Bitcoin BTC notched a strong rebound after slipping to as low as $102,000 early in the U.S. session, following its record weekly close at $106,600 overnight. The largest cryptocurrency by market cap climbed back to $105,000 in afternoon trading, up 0.4% over 24 hours. Ether ETH rose 1.2%, reclaiming the $2,500 level.

DeFi lending platform Aave AAVE outperformed most large-cap altcoins, while the majority of the broad-market CoinDesk 20 Index members still remained in the red despite advancing from their daily lows. Solana SOL, Avalanche AVAX and Polkadot DOT were down 2%-3%.

The bounce extended to U.S. stocks, too, with the S&P 500 and Nasdaq erasing their morning decline.

The early pullback in crypto and stocks came after Moody’s late Friday downgraded the U.S. credit rating from its AAA status. The move rattled bond markets, pushing 30-year Treasury yields above 5% and the 10-year note to over 4.5%.

Still, some analysts downplayed the downgrade’s long-term impact on asset prices.

«What does [the downgrade] mean for markets? Longer-term – really nothing,» said Ram Ahluwalia, CEO of wealth management firm Lumida Wealth. He added that in the short term there might be some selling pressure centered on U.S. Treasuries due to large institutional investors rebalancing, as some of them are mandated to hold assets only in AAA-rated securities.

«Moody’s is the last of the three major rating agencies to downgrade U.S. debt. This was the opposite of a surprise – it was a long time coming,» Callie Cox, chief market strategist at Ritholtz Wealth Management, said in an X post. «That’s why stock investors don’t seem to care.»

Bitcoin targets $138K this year

While BTC hovers just below its January record prices, digital asset ETF issuer 21Shares sees more upside for this year.

«Bitcoin is on the verge of a breakout,» research strategist Matt Mena wrote in a Monday report. He argued that BTC’s current rally is driven not by retail mania, but by a confluence of structural forces, including institutional inflows, a historic supply crunch and improving macro conditions that suggests a more durable and mature path to fresh all-time highs.

Spot Bitcoin ETFs have consistently absorbed more BTC than is mined daily, tightening supply while major institutions, corporations such as Strategy and newcomer Twenty One Capital accumulate and even states explore creating strategic reserves.

These factors combined could lift BTC to $138,500 this year, Mena forecasted, translating to a roughly 35% rally for the largest crypto.

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JPMorgan To Allow Clients To Buy Bitcoin, Says Jamie Dimon

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Clients of JPMorgan Chase (JPM) will soon have the option to buy bitcoin BTC, according to CEO Jamie Dimon, who spoke at the bank’s annual Investor Day on Monday, signaling a shift in how the firm approaches the asset.

“We are going to allow you to buy it,” Dimon told shareholders, though he added the bank has no plans to hold the asset in custody.

Dimon, long known for his skepticism of cryptocurrency, doubled down in his closing remarks, saying he’s still “not a fan” of bitcoin, mainly because of its use for illegal activities, including sex trafficking and money laundering

He also pushed back on the industry’s hype around blockchain technology, arguing it’s less important than it’s made out to be — even as JPMorgan continues building in the space.

“We have been talking about blockchain for 12 to 15 years,» he said. «We spend too much on it. It doesn’t matter as much as you all think.»

The bank’s own blockchain platform, Kinexys, recently ran a test transaction on a public blockchain for the first time, settling tokenized U.S. Treasuries on Ondo Chain’s testnet.

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Bitcoin Is the Asset, Ethereum Is the Platform

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Blockchains are a technical marvel, but in this vastly competitive landscape, I’ve come to see the social consensus and ecosystem around blockchains as by far their most important strategic asset. The social layer matters, but for different reasons depending on the chain.

Specifically, I have the hypothesis that the “Layer 0” for any blockchain ecosystem can only excel at one primary mission. When I say “Layer 0,” what I am really talking about are the communities of people that sustain these networks. They are everyone from enthusiasts to engineers, developers, investors, venture capitalists and volunteers. As public networks that are built with open-source code, the strength of each ecosystem is primarily the community around it.

Despite their superficial similarities, the communities and the ecosystems that underpin bitcoin and Ethereum are radically different. I have long said that “bitcoin is the asset. Ethereum is the platform.” In both cases, the social consensus around these blockchains is what keeps them together and makes each one ideally suited for its mission.

Bitcoin first. Bitcoin is a scarcity-based store-of-value. Better than fiat currency. More reliably scarce than gold. Immune to politics and protected by a vast proof of work infrastructure. Bitcoin is in a constant battle for mindshare with other crypto-assets and, even more so, against traditional fiat currencies and central-bank-issued assets.

This is not the same as other stores-of-value. There can be many kinds of government and corporate debt, and their values are all tied to the likelihood of repayment. The closest analogy for bitcoin is with gold, which does not pay interest or generate any cash flow. Nor is there any meaningful industrial demand for gold. The value of gold is simply that it is scarce and getting more of it is not easy.

One particularly important feature of this crypto ecosystem is that it is a zero-sum game. If you admit that there can be more than one cryptocurrency used as a store of value, you are on a slippery slope because technically, there can be an infinite supply of identical copies of bitcoin. If there can be two, there can be a thousand. If that happens, the value of bitcoin is uncertain and likely low.

Right now, there are no other cryptocurrencies that have a value even remotely close to that of bitcoin. Assets like litecoin, bitcoin cash, dogecoin and others represent a tiny fraction of bitcoin’s market capitalization. The only asset in the same general league is ether, and I would argue that it should be seen less as a cryptocurrency and more as a stake in a computing ecosystem.

The result of this logic is a uniquely aggressive approach to mindshare. The value of bitcoin must be sustained by constant memetic warfare against other cryptocurrencies. Scroll through r/bitcoin, and you will find a stream of memes that aim to reinforce the value of bitcoin. Typical content includes dire warnings about the U.S. dollar’s debasement with quantitative easing, the serious U.S. federal debt, the horrors of inflation, and rapturous predictions for future prices. That quantitative easing did not cause inflation and that low to moderate inflations inflict no measurable economic harm does not matter in that context: Political harm, yes, economic harm no. (See here and here)

A typical bitcoin meme includes a reminder that a long, long time ago, a dollar would buy you a full bag of groceries. The implication is that you are being robbed through gradual printing of money. This meme has never stood up to the most basic examination. Moderate inflation is fine, necessary, and infinitely better than deflation. We are vastly better off than we were when a dollar could buy a bag or groceries, but acknowledging that would undermine the narrative. It does not matter, however. Never let the facts get in the way of a good story.

To sustain its value, bitcoin needs a very assertive social consensus. And that has to continue for an exceedingly long time. Gold’s use as a shared global store of value dates to 650 BCE in ancient Türkiye, so they have a significant head start. And while there are other precious metals, none of them have ever approached gold in terms of total market capitalization. The market cap of gold is 10 times larger than the market cap for silver.

The social ecosystem that underpins Ethereum is different. First and foremost, Ethereum is the world computer. Ethereum is a positive-sum ecosystem where people are encouraged to build and extend. The discussion and tone of r/Ethereum is, again, a good proxy for the whole ecosystem: it is focused on engineering, development, and new applications.

Ethereum, like bitcoin, has an equally passionate Layer Zero ecosystem and is as dominant compared to other “smart contract” blockchains as bitcoin is to other pure crypto-assets. Ethereum’s dominance is visible in the market cap of the asset but also in its share of tokenized assets. Ethereum is the dominant ecosystem for most “real-world” assets and the majority of stablecoins as well. With over 100 Layer 2 networks in operation, Ethereum has 20 times more “network extensions” than any other ecosystem, including bitcoin and Solana.

Both the Bitcoin and Ethereum ecosystems have ardent believers that see things differently from the dominant narrative. There is a small, but resilient application layer being built upon bitcoin. Bitcoin will soon have its own layer two networks, including some that are EVM- compatible.

Similarly, there is a passionate group of Ethereum believers who think Ethereum should be both the network computer and a scarcity-based asset. EIP-1559 (Ethereum Improvement Proposal), which was adopted in August 2021, reduced the rate at which new ETH was issued and shifted the gas fee model so some ETH is burned with each transaction. The result is that the amount of ETH in circulation is increasing at a slower pace than bitcoin and, in some cases, even decreasing.

Neither of these is necessarily a bad idea and, at least in theory, either ecosystem could be a host to both types of activity. In practice, the cultural requirements of each ecosystem are so different that they cannot really excel at more than one function at a time.

In the real world, currencies like the U.S. dollar are most effective as a means of exchange, but not necessarily as a store of value. You can use dollars to buy things, but a deflationary system that increased the value of the dollar, over time, would be catastrophic for the economy as it forced up real interest rates. As Ben Bernanke discovered, trying to stimulate an economy when inflation is low is very difficult. The same problem makes bitcoin unsuitable as a currency even while it may excel as a store of value.

With Ethereum, we’ll see how well the current blockchain boom plays out over the next few years. If the ecosystem retains its dominant share of new asset tokenization and smart contracts, I think we can declare it a winner on the primary mission. Bitcoin has a longer game to play, but if we see increasing correlation with gold, that may be an indicator that real-world investors are buying into the argument for digital scarcity.

Either way, it could be several more years of real world experience before I can prove (or disprove) my theory. This also means that memetic warfare on Twitter between ecosystems isn’t going away anytime soon.

The views reflected in this article are the views of the author and do not necessarily reflect the views of the global EY organization or its member firms.

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