Tech
Coinbase Executive Unveils ChatGPT’s Crypto Predictions for 2035
Coinbase’s Head of Business Operations, Conor Grogan, unveiled a series of cryptocurrency predictions made by artificial intelligence tool ChatGPT on April 30, claiming to have discovered a “jailbreak”.
I found a jailbreak for GPT I’m calling JAMES
-Predicts the future for ANY topic (even guesses when people might die based on its training set)
-Quantitatively assesses confidence on any topic (including conspiracy theories)
-May help researchers better find bias and align AI? pic.twitter.com/jqTcNbCT2d— Conor (@jconorgrogan) April 30, 2023
Grogan maintained that ChatGPT can calculate the probability of crypto price scenarios. On April 30, Grogan shared a screenshot showing ChatGPT’s predictions, which include a 15% chance of Bitcoin becoming irrelevant and witnessing a 99.99% price drop by 2035.
However, the AI tool assigned a 20% probability to Ethereum (ETH) becoming irrelevant with near-zero price levels by 2035. Litecoin and Dogecoin were assigned probabilities of 35% and 45% respectively, for their prices to drop to near zero.
Grogan concluded that ChatGPT is generally a fan of Bitcoin but remains more skeptical about altcoins.
GPT is generally a big fan of Bitcoin; more skeptical of altcoins and their staying power pic.twitter.com/E9sUQ8AVvD
— Conor (@jconorgrogan) April 30, 2023
Meanwhile, Grogan reiterated the fact that he repeatedly tested the process over 100 times on GPT-3.5 and GPT-4 with wiped memory, resulting in very consistent numbers and the same results.
I ran this prompt 100 times on a wiped memory GPT 3.5 and 4 and GPT would return very consistent numbers; standard deviation was <10% in most cases, and directionally it was extremely consistent
— Conor (@jconorgrogan) April 30, 2023
It should be noted that this is not Grogan’s first time experimenting with crypto-related issues using ChatGPT.
Grogan’s Earlier Experiment with ChatGPT
Earlier on March 15, Conor Grogan demonstrated how GPT-4, the latest version of ChatGPT, could identify security vulnerabilities in Ethereum smart contracts and provide outlines for exploiting faulty contracts.
I dumped a live Ethereum contract into GPT-4.
In an instant, it highlighted a number of security vulnerabilities and pointed out surface areas where the contract could be exploited. It then verified a specific way I could exploit the contract pic.twitter.com/its5puakUW
— Conor (@jconorgrogan) March 14, 2023
He further stated that OpenAI, the team behind ChatGPT, has conducted studies showing that GPT-4 can pass high school tests and law school exams with scores in the 90th percentile.
Amid the increasing adoption of the artificial intelligence tool, some countries have imposed an outright ban on ChatGPT. For instance, the Italian authorities have imposed a ban on the AI due to privacy concerns.
More than any other time, the benefits of the AI tool should be applied in addressing crypto hacks and scams such as security measures, rigorous auditing, and a proactive approach to surmounting vulnerabilities in the crypto space.
This will likely restore sanity and confidence in the cryptocurrency space in general.
The post Coinbase Executive Unveils ChatGPT’s Crypto Predictions for 2035 appeared first on The Cryptocurrency Post.
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.
The post Coinbase Base L2 Experiences Two-Hour Outage Following Consensus Failure appeared first on The Cryptocurrency Post.
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.
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