The post Ethereum Foundation reveals why AI still fails at finding real bugs appeared on BitcoinEthereumNews.com.
The Ethereum Foundation has revealed that the biggest challenge in AI-assisted security research has become proving which reported vulnerabilities are genuine rather than finding potential bugs. Summary Ethereum Foundation says verifying AI bug reports is harder than generating them. AI agents found a real libp2p vulnerability, later disclosed as CVE-2026-34219. The Foundation says human validation and reproducible proof remain essential for protocol security. According to the Ethereum Foundation’s Protocol Security team, recent experiments with coordinated AI agents uncovered real software flaws across systems that Ethereum depends on, but the organization said the majority of the effort now goes into separating valid findings from convincing false positives. The team described the results in a technical post explaining how it has been testing AI agents against systems sof
Enterprises are using AI to write more code than ever before; anywhere between 25% and 75%, depending on who you ask. This means developers are moving to other parts of the process, where they run into whole new sets of problems.
IBM rolled out its IBM Bob agentic software development platform earlier this year to help developers across the entire software development lifecycle (SDLC), rather than just in single interfaces or isolated tasks.
To build out the platform, IBM Thursday announced a series of updates, including new multi-agent capabilities, parallel tool calling, and built-in cost and use analytics. The company also announced three specialized workflows geared specifically to Java modernization, its IBM i operating system (OS), and its mainframe architecture, IBM Z.
“What makes IBM Bob different is that IBM did not build it as another point coding assistant,” said Michael Kwok, VP of IBM Bob. “The market conversation has moved from ‘which model writes code fastest?’ to ‘which
The post OpenAI Launches GeneBench-Pro to Test AI in Biology appeared on BitcoinEthereumNews.com.
Jessie A Ellis
Jul 09, 2026 17:50
OpenAI’s GeneBench-Pro evaluates AI’s ability to handle complex genomic and biological research tasks, with 129 synthetic problems testing real-world decision-making.
OpenAI has unveiled GeneBench-Pro, a cutting-edge benchmark targeting AI performance in computational biology, genomics, and translational medicine. Released on June 30, 2026, this research-level tool is designed to push AI beyond routine data handling into the realm of judgment-heavy, real-world scientific reasoning. GeneBench-Pro builds on the earlier GeneBench framework, now tackling more complex tasks across 129 meticulously designed problems. These problems simulate real-world scenarios, requiring AI systems to analyze messy datasets, revise assumptions, and make iterative decisions—tasks that mirror the nuanced workflows of human researchers. According to OpenAI, this
The post Ethereum Tests AI Agents on Protocol Code, Finds Critical Bugs appeared on BitcoinEthereumNews.com.
Jessie A Ellis
Jul 09, 2026 16:11
Ethereum Foundation runs AI agents on protocol code, uncovering critical bugs like CVE-2026-34219 in libp2p. Here’s why this matters for Ethereum’s future.
The Ethereum Foundation’s Protocol Security team has revealed a cutting-edge approach to enhancing the network’s integrity: deploying AI agents to analyze Ethereum’s protocol code. In a new blog post published on July 9, 2026, the team detailed how these agents identified critical vulnerabilities, including a remotely-triggerable bug in libp2p’s gossipsub layer, now patched and disclosed as CVE-2026-34219. Ethereum (ETH), trading at $1,624.95 as of July 9, remains the backbone of decentralized finance (DeFi) and smart contract platforms. Protecting its base layer is essential for maintaining trust in the network, which secures billions of dollars in economic activity daily.
The post Manus Introduces ‘Branch’ for AI Parallel Tasking appeared on BitcoinEthereumNews.com.
Luisa Crawford
Jul 09, 2026 15:23
Manus launches ‘Branch,’ enabling parallel AI workflows without losing context. Explore how this innovation boosts productivity.
Manus has unveiled a new feature called ‘Branch,’ an AI-powered tool designed to help users manage multiple parallel workflows without losing context. Announced on July 9, 2026, Branch enables users to split any task into separate sessions, each inheriting the full context of the original while remaining isolated from other branches. This innovation aims to make AI-powered workflows more flexible and efficient, particularly for professionals juggling complex, multi-step projects. The core functionality of Branch lies in its ability to treat accumulated context as a reusable asset. Users can create a branch by clicking an icon beneath a message, which launches a parallel session that carries over all prior instruct
The post Character.AI Launches (c.ai) Series, Blending Microdramas and Chat appeared on BitcoinEthereumNews.com.
Ted Hisokawa
Jul 09, 2026 13:26
Character.AI debuts (c.ai) series, original AI-driven microdramas integrated with interactive chat. A bold move in AI entertainment.
Character.AI, the AI chatbot platform known for its customizable digital personas, has launched a new feature called (c.ai) series, introducing original short-form video microdramas. The series, designed for mobile viewing, integrates directly with the platform’s interactive chat experience, enabling users to engage with characters after watching episodes. The first slate of (c.ai) series includes three shows spanning genres like romance, horror, and sci-fi survival. Titles include Last Summer, a nostalgic romance; The Nighttime Game, a paranormal thriller; and Eden Fall, a virtual survival story. Episodes are available now in the Character.AI mobile app under a new entertainment tab, which also
NEA representatives at the ISTELive conference in Orlando said competency-based professional development, measured by demonstrated proficiency rather than hours, may be gaining traction in the age of AI.
The Fed's collaboration with tech leaders on AI's economic impact may redefine monetary policy, influencing inflation and interest rates.
The post Federal Reserve enlists Marc Andreessen to advise on AI impact appeared first on Crypto Briefing.
Bernanke's appointment underscores the growing emphasis on ethical governance in AI, potentially setting a precedent for industry accountability.
The post Anthropic appoints former Fed Chair Ben Bernanke to Long-Term Benefit Trust appeared first on Crypto Briefing.