Sui publishes post-mortem after mainnet stall halted transactions for six hours

ambcrypto2026-01-16 tarihinde yayınlandı2026-01-16 tarihinde güncellendi

Özet

Sui Foundation published a post-mortem detailing a six-hour mainnet stall on January 15, caused by an edge-case bug in consensus commit logic. This led to validators processing conflicting transactions differently under specific garbage-collection conditions, resulting in divergent checkpoint digests. The network automatically halted to prevent inconsistent state finalization, prioritizing safety over availability. No forks, rollbacks, or fund losses occurred, and read operations remained functional. Sui is implementing improvements for faster recovery and enhanced testing to prevent similar issues, confirming the safety mechanisms worked as intended.

Sui Foundation has published a detailed post-mortem explaining the cause of the mainnet stall that disrupted transaction processing on 15 January. It confirmed that the network halted as a safety measure to prevent inconsistent state finalization.

According to the Foundation, the disruption lasted for approximately six hours. An internal divergence in validator consensus processing caused it.

During the incident, validators were unable to certify new checkpoints, leading to transaction submissions timing out while the network prioritized safety.

Sui consensus divergence triggered safety halt

The Foundation said the incident stemmed from an edge-case bug in the consensus commit logic that affected how conflicting transactions were handled under certain garbage-collection conditions.

As a result, different validators derived different consensus outputs and attempted to execute incompatible candidate checkpoints.

When validators detected that more than one-third of stake was signing a different checkpoint digest, checkpoint certification became impossible. Validators then halted progress to avoid finalizing an inconsistent state.

“This is the intended failure mode for this class of issue,” the Foundation said, noting that the network is designed to stop safely rather than risk forks or irreversible inconsistencies.

No forks, rollbacks, or fund losses

Sui stressed that the stall was not caused by network congestion, transaction volume, or external threats. Throughout the incident:

  • No certified state forks occurred
  • No certified transactions were rolled back
  • User funds were never at risk
  • Network safety and consistency guarantees were preserved

While transaction execution halted during the incident window, read operations continued to serve the last certified state. This ensured data consistency for users and applications.

Improvements planned after incident

The Sui Foundation said it is implementing several changes to reduce recovery time in the event of similar issues in the future.

Planned improvements include faster detection of checkpoint inconsistencies and more automated operator tooling to clean up divergent internal state. Also, expanded consensus-specific testing to reproduce and validate fixes before deployment.

The Foundation added that while the interruption was disruptive, it confirmed that Sui’s safety-focused architecture behaved as designed.


Final Thoughts

  • Sui’s explanation confirms the mainnet stall was the result of a consensus edge case, with safety mechanisms halting the network to avoid inconsistent finalized state.
  • While disruptive, the incident highlights the trade-off between availability and safety as high-throughput networks push performance limits.

İlgili Sorular

QWhat was the primary cause of the mainnet stall on the Sui network on January 15th?

AThe stall was caused by an edge-case bug in the consensus commit logic that affected how conflicting transactions were handled under certain garbage-collection conditions, leading to an internal divergence in validator consensus processing.

QHow long did the network disruption last, and what was the core function that was halted?

AThe disruption lasted for approximately six hours, during which validators were unable to certify new checkpoints, halting transaction processing.

QAccording to the post-mortem, what key negative outcomes were avoided during the incident?

ANo certified state forks occurred, no certified transactions were rolled back, user funds were never at risk, and the network's safety and consistency guarantees were preserved.

QWhat safety mechanism was triggered that caused the network to halt progress?

AWhen validators detected that more than one-third of the stake was signing a different checkpoint digest, checkpoint certification became impossible, and they halted progress to avoid finalizing an inconsistent state.

QWhat improvements is the Sui Foundation implementing to prevent similar issues in the future?

APlanned improvements include faster detection of checkpoint inconsistencies, more automated operator tooling to clean up divergent internal state, and expanded consensus-specific testing to reproduce and validate fixes before deployment.

İlgili Okumalar

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

A Chinese company, Tomorrow's Journey (Nextie), has introduced what it is calling the industry's first "cognitive model" for edge devices. Named New Journey Alpha, this 4-billion-parameter model reportedly matches the performance of trillion-parameter giants like GPT-5.4 in group intelligence tasks such as debate and collective decision-making. The development follows Andrej Karpathy's vision of stripping vast factual knowledge from large language models to retain only a smaller "cognitive core" capable of reasoning, planning, and knowing its own limits. This approach directly addresses the soaring computational costs and token expenses hindering AI's widespread deployment, as highlighted by incidents like Amazon shutting down an internal AI tool due to prohibitive costs. Trained via reinforcement learning on a corpus of academic papers from 1800-2020 to enhance generalization, the model enables three key advancements: 1) Improved decision quality in multi-agent systems, 2) Drastically reduced compute costs, allowing for cost-effective cloud or on-device (e.g., MacBook) deployment, and 3) The feasibility of "proactive" AI agents that act autonomously without user prompts, unlocking new commercial possibilities beyond today's reactive models. Built by the former Microsoft Xiaoice team—known for creating a 3.6B model that outperformed a 65B Llama model—the company is now focusing on the multi-agent systems sector, a field gaining significant investor interest. The model's economic impact is profound; by achieving high-level performance with minimal parameters, it fundamentally alters the cost structure of AI services, challenging the prevailing model of ever-larger parameter counts.

marsbit2 saat önce

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

marsbit2 saat önce

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

A new transformative technology emerges every few generations. OpenAI draws a parallel with the advent of electricity in the 1920s, which initially brought convenience but ultimately enabled unprecedented progress in medicine, engineering, and living standards by empowering people to create new possibilities. AI is poised to recreate this phenomenon. Its true significance lies not in the technology itself, but in what people can achieve with it—from understanding a medical bill or starting a business to aiding scientific discovery. OpenAI believes AI should be universally accessible, allowing everyone to use it according to their own needs. This future, however, is not guaranteed. While transformative tech can centralize power, OpenAI's philosophy is that AI must serve humanity, augmenting human capabilities and broadly distributing its benefits. The company's first commitment is to build AI for human service, aiming to empower the many rather than concentrate power in a few. Safety, alignment with human intent, and oversight are paramount. OpenAI is optimistic about AI's potential to expand human welfare but remains clear-eyed about risks. The goal is to help people achieve more, not to replace them. Full automation is not the desired future; human judgment, values, and direction will become even more critical. OpenAI outlines three core goals: 1. Build automated AI researchers to accelerate and increasingly automate the research process itself, maintaining close human collaboration. The internal projection is that by March 2028, a significant portion of their research will be conducted by AI systems working alongside human researchers. 2. Accelerate economic development by advancing science, boosting productivity, and fostering growth, while ensuring the fruits are widely shared. 3. Provide a personal AGI for everyone on Earth, allowing individuals to benefit from this transformative technology in their own way. The company is entering its third phase, moving from foundational AGI research (Phase 1) to product deployment and learning from real-world use (Phase 2). The current challenge is making advanced AI abundant, affordable, safe, practical, and usable for all individuals and organizations. OpenAI concludes that a widely distributed power structure leads to a more resilient, adaptable, and free society. A positive AI future should not be controlled by a handful of entities but built, benefited from, and owned by many. If realized correctly, AI can become a cornerstone for enhancing global productivity, creativity, scientific advancement, and economic opportunity, fulfilling the mission to ensure AGI benefits all of humanity.

marsbit3 saat önce

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

marsbit3 saat önce

İşlemler

Spot
Futures

Popüler Makaleler

SUI Nasıl Satın Alınır

HTX.com’a hoş geldiniz! SUI Network (SUI) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında SUI Network (SUI) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: SUI Network (SUI) Varlıklarınızı SaklayınSUI Network (SUI) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: SUI Network (SUI) Varlıklarınızla İşlem YapınHTX'in spot piyasasında SUI Network (SUI) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

653 Toplam GörüntülenmeYayınlanma 2024.12.12Güncellenme 2026.06.02

SUI Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların SUI (SUI) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片