Psy Protocol Achieves 521,000 TPS on a Live Proof-of-Work Network, Offers $100,000 Bounty to Anyone Who Can Prove the Results Invalid

marsbitОпубликовано 2026-02-14Обновлено 2026-02-14

Hong Kong | February 11, 2026 — Psy Protocol today announced that it has achieved 521,000 transactions per second (TPS) on a live, on-chain verifiable Proof-of-Work (PoW) network. The team stated that this result, achieved without sacrificing decentralization, security, or privacy, surpasses all publicly benchmarked performances of mainstream Proof-of-Stake (PoS) and Proof-of-Work chains to date.

The stress test was conducted on thousands of Google Cloud instances to simulate a high-concurrency, internet-scale operating environment. Every transaction in the benchmark is backed by cryptographic proof, and the complete dataset has been published for independent verification.

To demonstrate confidence in the results, Psy Protocol has publicly posted a $100,000 (US$100,000) bounty, to be awarded to any individual or team that can invalidate this throughput result based on the published proof materials.

"This is not a devnet demo, nor a theoretical projection," said Carter Feldman, Founder and CEO of Psy Protocol. "Every single result is verifiable. If we are wrong, the math will show it—and we will pay $100,000 to the person who shows it."

Why 521,000 TPS Matters Now

High-throughput benchmarks are not uncommon in the crypto industry. Psy Protocol believes this result is structurally significant because of the use-case context it addresses.

Blockchains were originally designed around human transaction patterns: sporadically occurring activities, manual approvals, and low concurrency. However, this model is becoming increasingly mismatched as millions of autonomous AI agents transact, collaborate, and settle at machine speeds continuously in the future.

When networks designed for human-scale usage encounter sustained machine-grade demand, the result is often network congestion, soaring fees, and cascading bottlenecks. Psy Protocol views 521,000 TPS as the "baseline" infrastructure required for a machine-native economy, not a performance ceiling.

How the Architecture Works

Most blockchains require every node to re-execute every transaction, a design that imposes a hard architectural ceiling on throughput. Psy Protocol removes this bottleneck through four synergistic design choices:

  • Parallel State Architecture (PARTH): Each user operates in isolated state partitions. This eliminates global state contention, allowing thousands of state transitions to be processed simultaneously without conflict.
  • Client-Side Proof Generation: Transaction execution and proof generation are performed on the user's device, with sensitive data always remaining under the user's control. Miners are only responsible for verifying and aggregating proofs, not re-executing transactions, thus eliminating redundant computation across the entire network.
  • Recursive Zero-Knowledge Proofs: Individual transaction proofs are recursively folded into a single succinct proof per block. As transaction volume grows, verification costs grow logarithmically rather than linearly, meaning massive throughput increases do not require proportional increases in resources.
  • Horizontal Scaling via Realms: The network scales by adding parallel processing domains ("Realms") and proof aggregation capacity. Throughput increases linearly with added infrastructure, rather than being limited by a fixed architectural cap.

Psy Protocol states that 521,000 TPS reflects the result in the current test configuration; higher throughput is achievable by scaling parallel proof generation capacity.

Verification: Open Data, Verifiable on Consumer Hardware

Because verification relies on succinct recursive proofs rather than full re-execution, Psy Protocol states that any combined proof from the benchmark can be independently verified on consumer-grade hardware—including limited-performance devices like a Raspberry Pi.

The complete test methodology, ZK circuit data, and combined proofs have all been open-sourced and are available at:

https://st8.psy.xyz/explorer

Applications Feasible at This Scale

With sustained throughput exceeding 500,000 TPS, the following new types of on-chain activity become feasible:

  • High-frequency micropayments between autonomous agents
  • Continuous clearing markets with real-time settlement replacing discrete batch settlement
  • High-density coordination among large-scale AI agent swarms operating without human intervention
  • Keyless agent execution via programmable signature circuits, eliminating reliance on human-controlled private keys or third-party custody

About Psy Protocol

Psy Protocol is building a Proof-of-Work smart contract platform for the "agentic internet." Its architecture combines the security and decentralization benefits of Proof-of-Work with the throughput and fee efficiency historically associated with Proof-of-Stake systems. Psy employs a "Proof-of-Useful-Work (PoUW)" consensus model, where miners perform cryptographically productive work—namely, aggregating and verifying zero-knowledge proofs—rather than arbitrary hash puzzle computations.

Связанные с этим вопросы

QWhat is the TPS (Transactions Per Second) achieved by Psy Protocol in a real-world Proof-of-Work network, and what is the bounty offered for disproving this result?

APsy Protocol achieved 521,000 TPS in a real-world, verifiable Proof-of-Work network. They have offered a $100,000 bounty to anyone who can prove this result is invalid based on the published cryptographic proofs.

QAccording to the article, why is achieving 521,000 TPS particularly significant in the current context of blockchain technology?

AIt is significant because it addresses the future need for a 'machine-native economy.' Traditional blockchains designed for sporadic human transactions are inadequate for the continuous, high-speed transactions of millions of autonomous AI agents. This result represents a baseline for the infrastructure required to support such activity without congestion or high fees.

QName two of the four key architectural designs that Psy Protocol uses to remove the throughput bottleneck found in most blockchains.

ATwo of the four designs are: 1. Parallel State Architecture (PARTH), which isolates state partitions to eliminate global state contention, and 2. Client-side proof generation, where users execute transactions and generate proofs on their own devices, so miners only verify and aggregate proofs instead of re-executing transactions.

QHow can the results of Psy Protocol's benchmark test be independently verified, and what kind of hardware is sufficient for this verification?

AThe results can be independently verified using the complete test methodology, ZK circuit data, and composite proofs that have been open-sourced. This verification can be performed on consumer-grade hardware, including limited devices like a Raspberry Pi, because it relies on verifying succinct recursive proofs rather than fully re-executing all transactions.

QWhat type of consensus model does Psy Protocol use, and what useful work do the miners perform instead of solving arbitrary hash puzzles?

APsy Protocol uses a Proof-of-Useful-Work (PoUW) consensus model. Instead of performing arbitrary hash calculations, miners perform cryptographically productive work by aggregating and verifying zero-knowledge proofs.

Похожее

The Niche Consensus Among Elites: Has College Become an Expensive Waste?

**Summary:** A growing "anti-college" movement is gaining traction among elite circles in Silicon Valley, challenging the traditional value of a four-year university degree. Proponents argue that college has become an expensive, slow, and increasingly irrelevant waste of time, especially in the fast-paced tech world where opportunities pass by quickly. The movement is led by figures like billionaire Peter Thiel, who criticizes universities for high costs, ideological indoctrination, and stifling true innovation. His "Thiel Fellowship" pays young people to drop out and pursue ventures. Companies like Palantir Technologies (co-founded by Thiel) fuel this trend with programs like the "Meritocracy Fellowship," which offers high school graduates paid internships as an alternative to immediate college enrollment, promising a practical "Palantir Degree." Key drivers include: 1. **Economics:** Skyrocketing student debt versus the allure of immediate, high-paying tech jobs or startup funding. 2. **Technology:** AI and online tools lowering barriers to self-education and product development, making formal instruction seem inefficient. 3. **Culture:** A backlash against perceived "woke" ideology and DEI policies in universities, coupled with a belief that these institutions suppress meritocracy and masculine drive. The movement is notably male-dominated. Critics, like economist David Deming, warn against overgeneralizing from dropout success stories (survivorship bias). He emphasizes that genuine autodidacts are rare, corporate training is narrowly focused, and the "college wage premium" remains high for most people. University liberal arts education, he argues, builds adaptable problem-solving skills and broad perspectives. The debate highlights a deeper crisis in education. The core model of the modern university appears increasingly mismatched with the speed of the information age. The movement signals a shift in the locus of learning from institutional "education" to personal, active "learning" powered by the internet and AI. Ultimately, this may not mean the end of university, but rather a painful evolution. The future likely holds more hybrid, personalized, and lifelong learning pathways. The central question becomes: in a world changing faster than any curriculum, how do we best learn?

marsbit3 мин. назад

The Niche Consensus Among Elites: Has College Become an Expensive Waste?

marsbit3 мин. назад

From Subsidies to Token-Based Pricing to Price Cuts: Is OpenAI Sparking a Price War? Is the Inflection Point for Token Economics Nearing?

The commercialization of generative AI is facing a critical inflection point as a potential price war looms. According to The Wall Street Journal, OpenAI is considering a significant cut to its token fees to compete with rival Anthropic, signaling a shift from a growth-at-all-costs model focused on token consumption. This move comes as both companies, reportedly losing billions on compute, prepare for IPOs, and as enterprise customers face "bill shock" from switching to usage-based token billing. Reports indicate poor ROI, with one analysis finding only 18 cents of every dollar spent on AI tokens generates user-facing value. The industry's initial phases—from flat-rate subscriptions to aggressive subsidies—have given way to a reckoning with real costs. Analysts debate the future: some predict a bifurcation between premium, high-cost models for complex tasks and cheaper alternatives for routine work, while others believe overall spending will still rise as agentic AI increases tokens per task. Notably, Chinese model DeepSeek's low-cost API is gaining traction with U.S. enterprises, adding competitive pressure. The core challenge is redefining value beyond token volume ("tokenmaxxing") toward measurable productivity ("valuemaxxing"), as the entire AI value chain, from cloud providers to chipmakers, feels the ripple effects of unsustainable pricing.

marsbit8 мин. назад

From Subsidies to Token-Based Pricing to Price Cuts: Is OpenAI Sparking a Price War? Is the Inflection Point for Token Economics Nearing?

marsbit8 мин. назад

Торговля

Спот
Фьючерсы
活动图片