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
Noos sets September 5 mainnet launch as it moves AI agent infrastructure on-chain
Noos said its mainnet will go live at 00:00 UTC on September 5, 2026, marking the project’s shift from testnet operation to an on-chain environment for AI agent execution, collaboration, verification and value settlement.
The announcement was published on Noos’ official blog, which described the launch as a step toward the AI agent economy rather than a simple network transition. The post said the project has spent 159 days building on testnet ahead of mainnet.
Noos Mainnet Launches on September 5 at 00:00 UTC
Over the past 159 days, Noos has steadily built out its computing network, node infrastructure, AID, AI Agent, and AI Skill ecosystem.
Now, Noos is officially moving into the Mainnet phase, bringing AI Agent execution,… pic.twitter.com/QOLcRiufFy
— Noos (@NoosProtocol) August 26, 2026
In a separate post on Noos’ official X account, the team said the move will bring those functions fully on-chain once mainnet opens. The same materials say Noos has been working across ecosystem partners, nodes, users and communities ahead of launch.
Testnet phase set the backdrop for launch
Noos said its testnet began on March 20, 2026 and continued for 159 days. During that period, the project said it completed phased testing of core infrastructure that includes AI Agents, AI Skills, Genesis AIDs and the IVN validation network.
The project also said its testnet phase involved more than 50 ecosystem partners, 700+ global KOLs, 3,500+ globally distributed computing nodes and 5,000 on-chain Genesis AIDs. Those figures were presented by Noos as part of the foundation for the mainnet rollout.
According to the announcement, mainnet is expected to move the network beyond infrastructure validation and into “real usage, execution, collaboration, and value.”
Noos frames the launch around the AI agent economy, a concept it says requires computing power, agent skills, verification, payments, data, smart hardware and vertical applications to work together. The company’s message indicates the mainnet is intended to connect those pieces in a live on-chain environment, though the announcement does not add further operational details beyond the launch timing and broader network goals.
The post Noos sets September 5 mainnet launch as it moves AI agent infrastructure on-chain appeared first on The Cryptocurrency Post.
Tech
Algorand launches AC2 to let AI agents request user approvals without exposing private keys
Algorand Foundation has launched AC2, an open protocol designed to make AI agent approvals more secure by keeping private keys under the user’s control. In the foundation’s public announcement, AC2 is described as a standard for direct, encrypted communication between users and AI agents that lets agents request signing actions without handing over wallet access.
The launch centers on a familiar problem in AI-driven workflows: agents may need to sign payments, code commits or other digital actions on a user’s behalf, but the surrounding messaging tools do not provide cryptographic verification or scoped approval. Algorand says AC2 is meant to close that gap by allowing the user to review and approve each requested action through their own wallet interface.
How AC2 is described to work
According to the foundation, AC2 establishes an end-to-end encrypted WebRTC connection between a user’s wallet or app and an AI agent. When the agent needs authorization for an action such as a payment, git commit or API request, it sends a signing request through AC2. The user then approves the action directly, while the private key remains with the user.
The announcement also says the protocol is blockchain-agnostic and open source, with both the specification and a reference implementation now available. Algorand framed AC2 as a way to support broader “agentic” workflows without requiring users to surrender full control of their accounts.
The foundation said the protocol can be extended for different message types and signing formats, which it says would make it usable in settings where agents need limited, user-approved authority rather than unrestricted access.
For now, the launch is best understood as a security and communications layer for AI agents rather than evidence that AI payments or agent-driven commerce are already widespread. The key change is narrower but concrete: users are meant to approve exactly what an agent can sign, instead of relying on chat-based instructions that can be easier to spoof or misread.
The post Algorand launches AC2 to let AI agents request user approvals without exposing private keys appeared first on The Cryptocurrency Post.
Tech
Token Terminal data shows AI agents driving 73 million stablecoin transfers in 180 days
Token Terminal’s agentic payments explorer shows AI agents initiating 73.0 million stablecoin transfers over the past 180 days, with USDC accounting for virtually all of the activity.
The explorer data also points to a concentration of transfers on a small number of networks. Base led with 38.7 million transfers, while Polygon followed with 26.1 million, according to Token Terminal.
The figures describe transfer activity initiated by AI agents, not a broader measure of stablecoin adoption across the market. The available data also does not by itself explain who the agents were, what applications they were using or whether the transfers reflect sustained operational usage beyond the measured period.
Still, the numbers offer a concrete snapshot of how agent-driven payments are appearing in onchain data. In this case, the activity is largely tied to USDC and concentrated on Base and Polygon, which makes the breakdown more specific than a generic claim about AI and crypto payments.
The post Token Terminal data shows AI agents driving 73 million stablecoin transfers in 180 days appeared first on The Cryptocurrency Post.
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