Kyle Samani Is Back: This Time, We're Going to Outcompete CEX in Efficiency!

Odaily星球日报发布于2026-03-12更新于2026-03-12

文章摘要

Kyle Samani, former co-founder of Multicoin Capital, has returned to advocate for PropAMM, a Solana-based innovation he claims is one of the most significant advancements in market microstructure in decades. He argues that by hosting market maker algorithms directly on-chain, PropAMM eliminates the latency inherent in traditional centralized exchanges (CEXs), where constant data exchange between market makers and the exchange server is required. On Solana, pricing updates occur within the same physical silicon, drastically reducing delays. PropAMM already dominates SOL-USDC spot trading on Solana with tighter spreads than major CEXs. Samani predicts it will become the dominant model for on-chain spot, perpetuals, and prediction markets this year. Current challenges include ensuring best execution for takers due to private algorithms and non-deterministic routing, 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 efficiency advantage over CEXs.

Source:Kyle Samani

Compiled by|Odaily Planet Daily(@OdailyChina); Translator|Azuma(@azuma_eth)

Editor's Note: The man who knows best how to promote Solana, the former co-founder of Multicoin Capital Kyle Samani, who had loudly exited the crypto world not long ago, is back!

Last night, Kyle Samani posted a long Thread on his personal X account. In the article, Kyle Samani once again demonstrated his highly persuasive "shilling" (not derogatory here) rhetoric, using "efficiency"—a weak point in the decentralized narrative—as a breakthrough. He detailed how the Solana ecosystem's currently promoted 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.

  • Related articles: 《The Man Who Knows Best How to Shill SOL Exits the Crypto World》; 《Is There More to Kyle Samani's Exit?》.

Below is the original content by Kyle Samani, compiled by Odaily Planet Daily.

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 understand this conclusion, let's first look at how market makers (MMs) quote prices on traditional centralized exchanges (CEX).

Market makers typically engage in physical co-location with the exchange. 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 back and forth between market makers and the exchange. 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, the other market makers resend their own 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.

The new diagram is as follows. (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 (have higher latency) than centralized systems because they require communication between global nodes.

But if you think about it differently, on-chain hosted algorithms could actually have lower latency than traditional centralized exchanges in finance.

Why is that? The reason is that the latency required for propAMM to update prices only involves electrons moving within the same physical piece of silicon. 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 piece of silicon; 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 I described above.

The most critical point remains that when the exchange—in this case, the Solana blockchain—directly hosts the propAMM algorithms, the market makers' pricing changes in real-time within the same physical piece of silicon.

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 the taker always gets the best execution, because:

  • All propAMM algorithms are not public (which is reasonable, as traditional market-making algorithms are also proprietary);
  • When routing trades between multiple propAMMs, the result is 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 propAMM is still under-optimized and subject to various limitations of the Solana blockchain itself. This year, Solana will roll out a series of major upgrades that will significantly enhance propAMM's 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 propAMM 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.

相关问答

QWhat is PropAMM and why does Kyle Samani consider it a major innovation in market microstructure?

APropAMM is a mechanism on the Solana blockchain where the market maker algorithms are hosted directly on-chain. Kyle Samani considers it one of the most important innovations in market microstructure in recent years, or even decades, because it eliminates the need for constant bidirectional messaging between market makers and an exchange, allowing pricing updates to occur with extremely low latency on the same physical silicon.

QHow does the efficiency of PropAMM on Solana compare to traditional CEX market making?

APropAMM on Solana is more efficient than traditional CEX market making. In a CEX, market makers and the exchange servers constantly send data back and forth, creating latency. In contrast, PropAMM algorithms run on the same physical machine as the exchange (the Solana blockchain), so price updates happen almost instantaneously as electrons move within the same piece of silicon, resulting in lower latency and tighter spreads.

QWhat evidence does Kyle Samani provide to show that PropAMM is currently outperforming CEXs?

AKyle Samani states that PropAMM has become the dominant quoting mechanism for the SOL-USDC spot pair on Solana and is already achieving narrower spreads than all major centralized exchanges (CEXs).

QWhat are the current challenges facing PropAMM, according to the article?

AThe main challenges are the inability to guarantee best execution for takers because the PropAMM algorithms are not public (which is standard for proprietary trading algorithms) and the non-deterministic nature of routing trades across multiple PropAMMs.

QWhat future Solana upgrades are mentioned that will further improve PropAMM performance?

AThe article lists several upcoming Solana upgrades: higher Compute Unit (CU) limits per transaction and larger transaction sizes, a higher CU limit per block, Alpenglow (reducing slot time from 400ms to 100-150ms), DoubleZero (reducing global network latency), application-controlled execution, and multiple concurrent leaders.

你可能也喜欢

华为云不打Token价格战,周跃峰要给AI云换一个赢的方式

在2026华为云INSPISE创想者大会上,新任CEO周跃峰首次公开阐述华为云AI战略,明确表示不以Token调用量或收入规模为竞争核心,而是聚焦于“每个Token是否真正提升生产力”。 面对当前国内AI云市场普遍以Token价格战和规模增长为焦点的态势,华为云选择了差异化路径:其一,依托昇腾、鲲鹏等全国产化软硬件构建“第二算力平面”,不参与“万国牌”硬件的规模比拼;其二,将政企及国计民生行业作为主战场,通过混合云与机密计算等技术,在保障数据主权的同时输送公有云迭代能力;其三,坚持开源开放策略,并联合20余家头部模型厂商共建生态。 周跃峰提出,AI竞争焦点正从算力、模型转向智能体(Agent)的实际应用。为此,华为云发布“Agentic Infra”新范式及一系列新品,旨在解决企业部署智能体时的工程难题,如AICS灵衢集群降低时延、AMS解决长程记忆、ModelArts Next实现多模型智能调度以降低成本。 更关键的举措是推出智慧医疗、具身智能等“行业AI梦工厂”专区,深入具体场景。例如,智慧医疗专区与瑞金医院共建大模型,旨在向基层医院规模化输出顶级诊疗能力。华为云试图将竞争从“卖Token”转向“卖生产力”,衡量标准变为金融风控效果、医疗诊断可及性等实际价值。 周跃峰承认,这条依赖国产算力、深耕产业的路比追逐MaaS收入更慢、更难,但避开了当前的价格红海,押注于智能体深入产业后底层基础设施的机遇。华为云的目标是证明其国产算力体系能满足中国产业AI未来的真实需求。

marsbit12分钟前

华为云不打Token价格战,周跃峰要给AI云换一个赢的方式

marsbit12分钟前

70%民众反对AI,美国人希望美国输掉人工智能战争

这篇文章主要讲述了美国社会目前普遍存在的反AI情绪。一项民调显示,高达70%的美国人认为AI发展“太快”,需要加强监管。这种情绪已经从线上蔓延到线下,具体表现为: 1. **公开抵制**:谷歌前CEO埃里克·施密特在大学毕业典礼上鼓励学生拥抱AI时,遭到台下学生集体嘘声和社交媒体嘲讽。科技公司的AI广告被涂鸦破坏,硅谷等地爆发了多次反AI游行示威。 2. **阻碍基建**:各地居民强烈反对在当地建设AI数据中心,担心其推高水电费、消耗水资源、造成热污染及破坏环境。多个数据中心项目因居民抗议而推迟或取消,甚至有议员因支持项目而遭罢免或住所被枪击。 3. **走向极端**:出现了向OpenAI CEO奥特曼住宅投掷燃烧弹、枪击支持数据中心项目的议员等暴力事件。 民众反对AI的主要原因包括: * **担忧失业**:普遍认为AI会取代大量工作岗位,让财富更集中于科技巨头,而大众承担失业风险。 * **经济负担**:数据中心巨大的能耗和水耗,导致电网升级和水资源成本被分摊到居民账单上,推高生活成本。 * **环境影响**:数据中心运行加剧碳排放,阻碍碳中和目标,其废热排放也抬升局部气温,引发环保团体反对。 * **社会与政治忧虑**:担心AI存在偏见、制造虚假信息,影响公众舆论和选举公正;同时也忧虑当前AI投资热潮可能是泡沫,一旦破裂会引发经济衰退。 这一问题已演变为复杂的政治难题。特朗普上台后废除了拜登时期加强AI监管的行政令,转而推行以“创新与竞争力”为先的政策,以在AI竞赛中保持领先。但这引发了其支持者阵营(MAGA)内部“硅谷派”与“极右翼”的分歧,后者与民主党在限制AI发展上形成了临时同盟,共同反对数据中心建设。特朗普面临着在支持其的科技金主与反对AI的草根票仓之间做出艰难抉择的困境。

marsbit46分钟前

70%民众反对AI,美国人希望美国输掉人工智能战争

marsbit46分钟前

Agent接管流量分发权,腾讯、字节、阿里在抢什么?

近日,腾讯、阿里、字节三大互联网巨头几乎同时加码AI智能体(Agent)布局,争夺AI时代的入口主导权。核心在于,谁掌握了Agent,谁就掌握了未来的流量分发权。 **阿里**采取“双子星”策略:千问App正演变为超级Agent,深度接入淘宝、支付宝等生态业务,实现从搜索到交易的全流程操作,并已向外部品牌开放接入;夸克则定位为AI旗舰应用,致力于成为“AI超级框”。在B端,阿里推出企业智能体平台“悟空”,探索“一人AI公司”模式。 **字节**凭借“豆包”App已获超3亿月活,并通过“扣子”平台构建开发者生态,支持多智能体协同。其战略是软硬一体,将豆包能力延伸至AI手机、智能眼镜等硬件,旨在让AI入口无处不在。 **腾讯**的杀手锏藏于微信。正在内测的微信AI智能体可通过右滑直接调用数百万小程序完成任务,将微信生态转化为“服务操作系统”。腾讯试图将AI深度融入现有国民应用,而非另造新入口。 三家的竞争折射出商业逻辑的深刻变化:流量分配权正从“用户自主点击”转向“Agent代为决策”。商业模式从争夺用户时长的“注意力经济”,转向以结果和效率为核心的“意图经济”。未来,服务提供者不仅比拼品牌,更需比拼其接入AI生态的能力。 这标志着从PC网页、移动App到AI Agent的又一次入口更迭,新一轮行业洗牌已然开始。

marsbit2小时前

Agent接管流量分发权,腾讯、字节、阿里在抢什么?

marsbit2小时前

交易

现货
合约
活动图片