Tech
Coinbase Base L2 Experiences Two-Hour Outage Following Consensus Failure
Coinbase’s Ethereum layer-2 network, Base, was taken offline for approximately two hours on Thursday after an invalid block disrupted its sequencing process and triggered a consensus failure. The outage halted all block production on the mainnet, temporarily freezing transaction processing across the network.
The disruption began at 16:03 UTC on June 25, when the network’s official status page began reporting that mainnet block production had degraded to an unhealthy state. The Base engineering team publicly acknowledged the halt roughly 40 minutes later, confirming on X that “Base Mainnet is currently halted while the team works on an issue with block production” and stating that all user funds remained secure.
The engineering team identified the root cause shortly after the initial announcement. According to updates published on the incident log, a consensus fault allowed an invalid block to enter Base’s sequencing pipeline immediately after block 47806542. The malformed block prevented the sequencer from constructing valid subsequent blocks, effectively stalling chain progression until the team intervened.
Base operates with a single centralized sequencer managed by Coinbase. While this architecture prioritizes transaction throughput, it does not include an automatic failover mechanism for consensus errors. When the sequencer encountered the fault, network activity stalled completely until engineers isolated the invalid block and cleared the sequencing pipeline. Internal recovery was achieved around 17:21 UTC, but the team advised ecosystem node operators to restart and resync their infrastructure to properly propagate blocks across the network.
Two hours after the initial disruption, Base confirmed widespread recovery across its decentralized application and node ecosystem. The available incident report did not specify the exact technical trigger behind the invalid block, and the precise scope of the consensus fault remains under review by the network engineers. Block production and transaction processing have since normalized, with dependent services completing synchronization following the outage window.
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Tech
Sui rolls out gasless stablecoin transfers for agents
Sui said it has launched gasless stablecoin transfers, a protocol-level feature designed to let users and businesses send supported stablecoins without paying gas fees or managing a separate SUI balance.
The project framed the update as a usability improvement for both everyday payments and agent-driven activity, saying the transfer flow is intended to reduce friction for automated systems that need to move stablecoins without interruptions tied to gas management.
AI agents need to compete in onchain markets without leaking alpha or ignoring risk parameters.
The team built a new prototype bringing cryptographic accountability to automated finance using Sui and Seal MPC.
How does it work?
🧵👇 pic.twitter.com/2PDBodWsU7— Sui (@SuiNetwork) June 26, 2026
In the official demo shared by SuiNetwork on X, the team highlighted sponsored transactions and described the feature as supporting uninterrupted agent trading on Sui.
The available materials indicate that the feature is live on Sui’s mainnet, but they do not provide independent confirmation of broader rollout details or any network throughput impact. The official blog post also does not include TPS data, so any effect on activity levels remains unclear for now.
For Sui, the update is a direct infrastructure change rather than a narrative-only announcement. The practical significance is that stablecoin transfers on the network can be executed with less user friction, which may matter most for payment use cases and AI-agent workflows that rely on repeated onchain actions.
Still, the exact scope of adoption, and whether the feature meaningfully changes network usage over time, remains to be seen. Additional confirmation will be needed to measure how widely the new transfer flow is used in practice.
The post Sui rolls out gasless stablecoin transfers for agents appeared first on The Cryptocurrency Post.
Tech
Succinct launches Zcam to verify photos with applied cryptography on the iPhone
Cryptographic infrastructure firm Succinct introduced Zcam this Thursday, April 24, 2026, an iPhone camera application designed to combat misinformation. The tool utilizes applied cryptography to digitally sign photos and videos at the precise moment of capture. According to the company’s official announcement, this process creates a tamper-proof record that directly links the media file to the specific hardware of the mobile device through mathematical proofs.
The technical operation of Zcam is based on processing raw image data. The application generates a hash of the information and signs it using cryptographic keys stored within Apple’s Secure Enclave, a hardware-based security module. This method ensures that the sender’s identity and the content’s integrity remain linked, making it difficult to create synthetic content that attempts to impersonate physical reality through external software or post-production processes.
The validity of these captures is supported by the Coalition for Content Provenance and Authenticity standard. This technical framework allows publishers and end consumers to track the origin and edits of any digital piece. By integrating signed provenance metadata, the C2PA standard facilitates a clear visualization of how content was created and which tools were used during the original capture process, effectively removing any ambiguity regarding authorship.
The paradigm shift from detection toward provenance
In the current digital security landscape, the industry faces an unprecedented sophistication in automated threats. Until now, the primary defense against manipulated content focused on post-mortem detection tools that analyze pixels for anomalies. The launch of Zcam proposes a structural change: authenticating reality at the source instead of detecting lies after the content has been published on social networks or traditional media outlets.
From a market perspective, this transition is a direct response to rising threats that already compromise critical security processes. Reports from CertiK indicate that social engineering attacks assisted by synthetic media will be responsible for a large portion of financial hacks in 2026. The ability to generate fake identities has allowed new systems to breach KYC systems with an efficacy that traditional biometric verification methods can no longer contain alone in corporate environments.
The impact of this technology transcends simple personal photo capture. Industry analysts point out that cryptographic provenance could redefine sectors such as war journalism, insurance claims, and institutional identity verification. By moving blockchain technology toward mass-market hardware, Succinct seeks to establish a standard where trust does not depend on human interpretation but on mathematical proofs generated by the phone’s own silicon milliseconds after the shutter fires.
Unlike traditional software solutions, the use of the Secure Enclave introduces a layer of physical security that is difficult to emulate. However, Succinct has been transparent regarding the current limitations of its initial implementation. The company acknowledged that its software development kit has not yet been audited externally and is not considered ready for critical production environments. Cybersecurity history shows that even secure enclaves have suffered vulnerabilities, keeping media sealing as an active research area.
Integrating these tools into users’ daily workflows requires a scalable and automated verification infrastructure. Analytics firms are already working on on-chain investigations to process massive volumes of verified data, suggesting that multimedia file validation will trend toward technical autonomy. The ultimate goal is to reduce reliance on human intermediaries in the validation of digital truth within decentralized ecosystems.
The development of Zcam represents an initial step toward the mass adoption of provenance tools on mobile devices. In the coming months, Succinct is expected to release updates on the interoperability of its signatures with other social media platforms and browsers. The success of this initiative will depend on the industry’s ability to standardize cryptographic verification across all smartphone models available in the global market during the current technological cycle.
This article is for informational purposes and does not constitute financial advice.
The post Succinct launches Zcam to verify photos with applied cryptography on the iPhone appeared first on The Cryptocurrency Post.
Crypto
China Already Has the Compute to Train Mythos-Level AI, Says Nvidia CEO
Nvidia CEO Jensen Huang has warned that China already has the infrastructure and computing power needed to train advanced AI models comparable to Anthropic’s Claude Mythos, raising concerns about potential cybersecurity risks.
Speaking on the Dwarkesh Patel podcast, Huang said the level of compute used to train Mythos is not particularly rare and is already widely available in China.
China’s AI Infrastructure Is “Abundant”
Huang emphasized that the type of hardware and capacity required to build a model like Mythos is not out of reach for China.
“The amount of capacity and the type of compute it was trained on is abundantly available in China,” he said, adding that the country already has access to the necessary chips and infrastructure.
He pointed out that China has significant unused data center capacity, describing it as having “enormous” compute resources, including fully powered but underutilized facilities.
According to Huang, China’s broader advantages include producing around 60% of the world’s mainstream chips, having a large share of global AI researchers, and access to substantial energy resources.
Rising Concerns Over AI and Cybersecurity
The warning comes amid growing concerns about the capabilities of Anthropic’s Claude Mythos model.
The AI system has demonstrated the ability to identify thousands of software vulnerabilities across major operating systems and browsers. Reports suggest that a large portion of these vulnerabilities remain unpatched, increasing the risk of exploitation.
Security researchers have also found that the model can autonomously execute complex, multi-step cyberattacks, tasks that would typically take human experts days to complete.
If a similar model were developed and misused, it could pose serious risks to global cybersecurity, particularly for institutions relying on outdated systems.
Call for Cooperation Over Confrontation
Despite the concerns, Huang cautioned against treating China purely as an adversary.
While acknowledging geopolitical tensions, he argued that collaboration and dialogue around AI development may be a more effective approach to managing risks.
“We want the United States to win,” Huang said, “but having research dialogue is probably the safest path forward.”
US Officials Highlight AI Competition
Meanwhile, US Treasury Secretary Scott Bessent recently described Claude Mythos as a major leap forward in AI capabilities, suggesting it strengthens the US position in the global AI race.
However, the rapid pace of development on both sides underscores the competitive and high-stakes nature of the sector.
Growing Evidence of AI Misuse
Concerns about misuse are not purely theoretical. Anthropic previously reported that a China-linked group attempted to exploit its AI coding tools to target dozens of global organizations, succeeding in some cases.
As AI systems become more powerful and accessible, experts warn that the line between innovation and risk is becoming increasingly thin.
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