Multicoin Co-founder: Is Decentralization Always Slower Than Centralization? PropAMM Is Breaking This Bias

marsbit2026-03-13 tarihinde yayınlandı2026-03-13 tarihinde güncellendi

Özet

In a recent article, Multicoin Capital co-founder Kyle Samani argues that PropAMM (Proactive Automated Market Maker) on Solana represents one of the most significant innovations in market microstructure in decades. It challenges the long-held belief that decentralized systems are inherently slower than centralized ones due to global node communication. In traditional centralized exchanges (CEXs), market makers co-locate servers and engage in constant bidirectional communication with the exchange to update orders, resulting in latency. In contrast, PropAMM runs market-making algorithms directly on the Solana blockchain, eliminating the need for inter-server messaging. Price updates occur within the same physical silicon, drastically reducing latency. PropAMM already offers narrower spreads for SOL-USDC spot trading than major CEXs. Samani predicts it will dominate on-chain trading across spots, perpetuals, and prediction markets in 2024. Current challenges include non-deterministic routing and lack of guaranteed best execution for takers, but solutions from aggregators like Jupiter and dFlow are expected. Upcoming Solana upgrades—such as higher compute limits, reduced slot times, and lower network latency—will further enhance PropAMM performance, solidifying its advantage over traditional systems.

Author: Kyle Samani, Multicoin Co-founder

Compiled by: Azuma, Odaily Planet Daily

Editor's Note: The man who knows how to hype Solana best, Multicoin Capital's former co-founder Kyle Samani, who recently made a high-profile exit, is back!

Last night, Kyle Samani posted a long Thread on his personal X account. In the post, Samani once again demonstrated his highly persuasive "hype" (not derogatory here) rhetoric, using "efficiency"—a weak point in the decentralization narrative—as a breakthrough. He detailed how Solana's PropAMM will catch up with or even surpass traditional centralized models in efficiency, arguing that PropAMM is one of the most important innovations in market microstructure in recent years, or even decades.

Below is the original content:

PropAMM is one of the most important innovations in market microstructure in recent years, and perhaps even one of the most significant in decades.

To help everyone grasp this conclusion, let's first look at how market makers (MMs) quote prices on traditional centralized exchanges (CEXs).

Market makers typically engage in physical co-location with the trading platform. Each market maker runs an algorithm on a server and connects to another server running the exchange's system via a network cable of uniform length (e.g., 50 meters).

A massive stream of data is constantly exchanged between market makers and the trading platform. Whenever a market maker sends an order to the exchange—whether it's a limit order, cancellation, or market order—the exchange must broadcast this information to all other market makers; then, other market makers resend their orders based on the new information; this cycle repeats indefinitely.

Here is a simple diagram.

Now let's look at how PropAMM works on the Solana mainnet.

The beauty of PropAMM on Solana is that the blockchain itself directly "hosts" the market maker algorithms. This means the system no longer needs to send billions of messages back and forth between market makers and the exchange; the market-making algorithms will run directly on the same physical machine as the exchange.

Here is the new diagram. (That's right, only the Solana blockchain is needed!)

There has long been a common view in the cryptocurrency industry that decentralized systems must be slower (with higher latency) than centralized systems because they require communication between global nodes.

But if you reframe the issue, on-chain hosted algorithms could actually have lower latency than traditional centralized financial exchanges.

Why is that? The reason is that the latency required for PropAMM to update prices only involves electrons moving within the same physical silicon chip. For example, if the last market order causes a change in the SOL-USD price, this information is immediately visible to all PropAMMs and used to price the next market order. Everything happens within the same silicon chip; there is no longer a need for two-way communication between servers.

It's worth noting that PropAMM does require frequent oracle updates, but this is not a problem and does not change the overall fact described above.

The most critical point remains that when the trading platform—in this case, the Solana blockchain—directly hosts the PropAMM algorithms, the market makers' pricing changes in real-time within the same physical silicon chip.

PropAMM has already become the dominant mechanism for SOL-USDC spot quotes on Solana, with narrower spreads than all major CEXs. I expect this market structure to become the dominant model for on-chain trading this year, including spot, perpetual contracts (perps), and even prediction markets.

The biggest challenge for PropAMM is that there is currently no way to ensure that takers always get the best execution, because:

· The algorithms of all PropAMMs are not public (which is reasonable, as traditional market-making algorithms are also proprietary);

· When routing trades between multiple PropAMMs, the results are non-deterministic.

However, this problem can be solved. I expect all relevant aggregator teams to launch solutions this year, such as Jupiter and dFlow for spot, and Phoenix for contracts.

Current PropAMMs are still under-optimized and constrained by various limitations of the Solana blockchain itself. This year, Solana will roll out a series of major upgrades that will significantly enhance PropAMM performance, including:

1. Higher CU (Compute Unit) limits per transaction and larger transaction sizes;

2. Higher CU limits per block;

3. Alpenglow: Reducing slot time from 400ms to 100–150ms;

4. DoubleZero: Reducing global network latency;

5. Application-controlled execution;

6. Multiple concurrent leaders.

If PropAMMs on the Solana mainnet can already offer narrower quotes than all CEXs without these upgrades, imagine how powerful they will become as these upgrades are gradually implemented.

Related reading: The Turnaround of Kyle Samani, the "Best Crypto Investor in History," and a Mirror of a Decade Ago

İlgili Sorular

QWhat is PropAMM and why is it considered a major innovation in market microstructure?

APropAMM is a mechanism on Solana where market maker algorithms are hosted directly on the blockchain, eliminating the need for constant communication between market makers and exchanges. It is considered a major innovation because it reduces latency by running algorithms on the same physical hardware as the exchange, potentially outperforming traditional centralized systems in efficiency.

QHow does PropAMM achieve lower latency compared to traditional centralized exchanges?

APropAMM achieves lower latency by hosting market maker algorithms directly on the Solana blockchain, allowing price updates to occur within the same physical silicon. This eliminates the bidirectional communication delays between market makers and exchanges in traditional systems, as all operations happen internally on the same hardware.

QWhat are the current challenges faced by PropAMM in ensuring best execution for takers?

AThe main challenges are that PropAMM algorithms are not publicly disclosed (similar to traditional market makers), and trading routing across multiple PropAMMs is non-deterministic, making it difficult to guarantee the best execution for takers automatically.

QWhich Solana upgrades are expected to enhance PropAMM performance in the future?

AKey Solana upgrades include higher CU limits per transaction, larger transaction sizes, increased CU per block, Alpenglow (reducing slot time to 100-150ms), DoubleZero (reducing global network latency), application-controlled execution, and multiple concurrent leaders.

QHow has PropAMM already demonstrated its effectiveness on Solana's mainnet?

APropAMM has become the dominant mechanism for SOL-USDC spot quotes on Solana, offering narrower spreads than all major centralized exchanges (CEXs), showcasing its efficiency and potential to lead on-chain trading in spots, perpetuals, and prediction markets.

İlgili Okumalar

70% of the Public Opposes AI, Americans Hope the U.S. Loses the AI War

70% of Americans believe AI development is moving too fast, with growing public resistance evolving from online criticism to real-world protests and violence. This widespread anti-AI sentiment stems from fears of job losses, rising utility costs, environmental damage, threats to democracy, and financial instability. Key incidents illustrate the backlash: Google's former CEO Eric Schmidt was loudly booed at a graduation for promoting AI; AI company ads are vandalized; protests and even violent attacks target AI firms and data centers. Polls show deep public pessimism and strong local opposition to data center construction, often surpassing resistance to nuclear power plants. The core grievances are economic and practical: AI is seen as automating jobs, concentrating wealth, and increasing household electricity and water bills due to massive data center resource demands. Environmentalists also oppose AI's high energy use and carbon emissions. This opposition has turned AI into a major political issue in the US. While the Trump administration prioritizes AI innovation for global competition, bipartisan pushback is growing. Democrats and factions within the MAGA movement are forming temporary alliances to support stricter regulations and local bans on new data centers, pressuring the administration to choose between its tech industry backers and its voter base. The situation highlights a profound national divide over AI's future.

marsbit22 dk önce

70% of the Public Opposes AI, Americans Hope the U.S. Loses the AI War

marsbit22 dk önce

Agents Take Over Traffic Distribution Power: What Are Tencent, ByteDance, and Alibaba Competing For?

In the race to dominate the AI era's entry point, China's tech giants—Tencent, ByteDance, and Alibaba—are aggressively deploying AI Agents to control the future of traffic distribution. Alibaba is pursuing a dual-track "closed loop + openness" strategy. Its Qianwen app is evolving into a super-Agent integrated across its ecosystem (Taobao, Alipay, etc.) to handle complex tasks like travel planning. Concurrently, it is opening its platform to external brands (Luckin Coffee, KFC) and has launched a B2B Agent platform, "Wukong," targeting enterprise automation. Its other flagship, Quark, aims to be an "AI super search box" for information and tasks. ByteDance is executing an omnipresent "sprawl strategy." Its Doubao app boasts over 300 million monthly active users and is evolving into a default AI entry point for daily life, with plans for paid versions and e-commerce integration. Its core weapon is the Kouzi platform, a visual "AI assembly factory" for developers to build custom Agents. ByteDance is also pushing hardware integration, collaborating on AI phones and developing smart glasses to embed Doubao everywhere. Tencent is playing its long-held "ultimate card" by quietly embedding an AI Agent directly into WeChat. This Agent, accessible via a swipe, can understand user commands and automatically execute tasks by calling upon WeChat's millions of mini-programs (e.g., finding and ordering coffee). This leverages WeChat's unparalleled 1.4-billion-user ecosystem to position the app as an AI-powered "service operating system," a move that could dramatically reshape the competitive landscape. The core battleground is shifting from competing for "user screen time" to competing to be the "default execution layer" for user intent. The business model is evolving from an "attention economy" to an "intent economy," where the Agent that can most efficiently fulfill a user's need gains control over service access and token flow. This represents a fundamental change in how users connect with digital services, making the fight for the Agent入口 (entry point) a pivotal moment for redefining industry leadership in the AI age.

marsbit2 saat önce

Agents Take Over Traffic Distribution Power: What Are Tencent, ByteDance, and Alibaba Competing For?

marsbit2 saat önce

İşlemler

Spot
Futures
活动图片