Cross-Sector entity
Of the tracked stories, 5 of 5 also mention OpenAI, the most common co-covered peer. That works out to roughly 0.3 stories per week across a 140-day span. The busiest single day carried 3. Coverage clusters in security, which accounts for 2 of those 5, with the remainder spread across 3 other categories.
5 verified stories tracked
Last mentioned: Feb 19, 2026
Entity pulse
Coverage balance Positive coverage leads. Positive coverage exceeds negative coverage by 100 percentage points.
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
Of the tracked stories, 5 of 5 also mention OpenAI, the most common co-covered peer. That works out to roughly 0.3 stories per week across a 140-day span. The busiest single day carried 3. Coverage clusters in security, which accounts for 2 of those 5, with the remainder spread across 3 other categories. The tracked stories average 2 original sources each. 0% of these stories carry negative sentiment. EVMbench appears in 5 tracked Cross-Sector stories published from February 19, 2026 through July 8, 2026.
Computed from the 5 stories linked to this entity. Beat comparisons are omitted because no baseline was available for this window.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering EVMbench. Shared-story counts are live from our verified record — not editorial picks.
Fund III Closes at $1.2 Billion
Paradigm announces the close of its $1.2 billion Fund III with an expanded mandate into AI and robotics, and reveals early investments in Zipline and True Anomaly.
Initial Benchmark Results
Expected release of the first performance data comparing various LLMs on the EVMbench suite.
Industry Integration
Security researchers and developers begin benchmarking existing LLMs against the EVMbench dataset.
Framework Documentation Released
Detailed technical specifications for EVMbench are made available to the developer community.
EVMbench Launch
OpenAI and Paradigm officially announce the release of the EVMbench framework for AI agent evaluation.
WSJ Reports $1.5B Target
The Wall Street Journal reports Paradigm is seeking to raise $1.5 billion for its third venture fund, citing SEC filings.
Paradigm Founded
Matt Huang, former Sequoia partner, and Fred Ehrsam, Coinbase co-founder, launch Paradigm as a crypto-focused VC firm.
Paradigm, formerly crypto-only, now aims its $1.2B third fund at the intersection of AI, robotics, and crypto. With early investments in Zipline and True Anomaly, the firm is courting deep-tech startups, leveraging its founder pedigree from Sequoia and Coinbase to compete with generalist VCs.
Paradigm closed its third fund at $1.2 billion, with a mandate that now includes AI and robotics alongside its core crypto focus. The firm reassures the crypto community that it will continue backing blockchain infrastructure and financial system innovation, citing active R&D in tools like Foundry, Reth, Centaur, and EVMbench.
Source: TechCrunch · finance.yahoo.com
OpenAI and crypto venture firm Paradigm have introduced EVMbench, a benchmark designed to evaluate the proficiency of AI agents in detecting and remediating vulnerabilities within Ethereum smart contracts. This collaboration marks a significant step toward integrating large language models into the core security infrastructure of decentralized finance.
OpenAI and Paradigm have introduced EVMbench, a specialized evaluation framework designed to measure the proficiency of AI agents in identifying and remediating smart contract vulnerabilities. This collaboration marks a significant step in leveraging large language models to bolster the security of the Ethereum ecosystem.
OpenAI and crypto venture firm Paradigm have introduced EVMbench, an evaluation framework designed to measure the proficiency of AI agents in identifying and remediating vulnerabilities within Ethereum smart contracts. This collaboration marks a significant step toward automating the auditing process for decentralized applications, potentially reducing the frequency of high-profile DeFi exploits.
