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You are here: Home / Cryptocurrency News / Massive Upgrade: Solana’s Alpenglow Hits 40% Fault Tolerance, Cuts MEV Profits

Massive Upgrade: Solana’s Alpenglow Hits 40% Fault Tolerance, Cuts MEV Profits

By Mishal Ali | Edited By Sahana Kiran,July 9, 2025, 3:30 PM

solana
  • Alpenglow increases Solana’s fault tolerance to 40% but may centralize validators.
  • MEV profits drop sharply, impacting arbitrage and sandwich attacks.
  • Self-reporting and latency create risks of unfair rewards.

Solana’s upcoming Alpenglow consensus will sharply diverge from its current Proof-of-History (PoH) foundation. A recently published report by Chorus One highlighted both technical advantages and future risks that are arising.

By moving to a 5f+1 fault-tolerant architecture, Alpenglow improves resistance against failure from 33% to 40%. But this jump demands a sharp drop in acceptable network latency, from 400 ms to 150 ms.

This tweak increases the finality rate but poses risks. Validators will now compete against faster infrastructure, which will inevitably push most small operators out. Chorus One’s simulation applies 0.6×S (where S is the total stake) to achieve consensus violation.

Source: Chorus

This renders Solana computationally secure under ideal conditions, but more vulnerable to stake concentration and geographic concentration. Fast validators triumph; slow validators lose out.

Also Read: Solana Outperformed Ethereum Inflows in the Weakest SOL/ETH Ratio in 2025

MEV Drops 38%, But Alpenglow Rewards Stay Unequal

Chorus One results also demonstrate Alpenglow’s reach extends to block economics. Arbitrage revenue will fall by 38.2%. Sandwich attacks, a second major MEV method, dropped 23.8%. That fall reflects Alpenglow’s 150 ms shorter slot time. Fast blocks don’t offer much wiggle room for including MEV-driven trades.

But this decline isn’t shared equally by all. High-stake validators are rewarded first, which puts them in a better position to engage and earn.

Stake-weighted propagation and faster reward compounding (over 11,000 epochs per year compared to 183 in PoH) also widen the gap. Validators who have low validator power but high latency will have diminishing returns and will likely be pushed away, threatening network diversity.

Source: Chorus

The paper also discusses a possible 99% block failure rate should 40% of relay nodes act maliciously under current Reed-Solomon redundancy assumptions. Getting beyond this would mean costlier networks, yet another deterrent to less-resourced parties.

Solana Validators Face Exploits Under New Alpenglow Model

Alpenglow also introduces economic design changes that could tempt gaming. Validators report their own message counts for actions such as Repair and Rotor. There is no required verification, so fraudulent reporting is permitted.

For example, validators might falsely reduce their recorded burden or discriminate when reporting shreds only to their partners in order to lower bandwidth usage but still gain complete rewards.

It also brings in vote-withholding strategy possibilities. By withholding their final vote, high-stakes validators can trigger Fast-Finalization certificates and obtain regular and bonus payments. This strategy, while principally risk-free, favors validators that have low latency and the most expansive coverage, once again favoring big operators.

Randomized assignment of repair and relay tasks means some validators earn significantly more than others, regardless of performance. Even minor differences in Annual Percentage Yield (APY), compounded over time, may cause smaller validators to exit.

Source: Chorus

Unless Solana introduces more stringent checks and enforcement, Chorus One cautions that such loopholes will exacerbate validator inequality and tip the network’s decentralization principles.

Also Read: Solana Price Today at $151 – Reversal or Rally Ahead?

Filed Under: Cryptocurrency News, Blockchain

About Mishal Ali

Mishal Ali is a Policy and Regulations Reporter at Tron Weekly with over four years of experience covering the global crypto and blockchain space. Her reporting focuses on crypto regulations and policy, alongside Bitcoin, Ethereum, altcoins, DeFi, NFTs, Web3, Layer 2 solutions, and AI-driven crypto use cases. She also tracks Ripple-related developments, enforcement actions, licensing updates, and crypto scams and fraud trends, helping readers understand regulatory and compliance risks.

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