Скачать или смотреть EVMbench Testing AI Performance on Smart Contract Exploits

Can AI actually stop the next massive crypto heist? 🤖💸 With over $100 billion in open-source crypto assets currently secured by smart contracts, the need for ironclad security has never been higher. That’s why *OpenAI and Paradigm* teamed up to launch **EVMbench**, a brand-new open-source benchmark designed to see if AI agents can truly handle the pressure of real-world security threats.

In this video, we explore the three grueling tests every AI agent must face to prove its worth:
🔍 *Detect Mode:* Identifying documented vulnerabilities within smart contract repositories.
🛠️ *Patch Mode:* Fixing code while preserving its original functionality—a task that remains a major challenge for today's models.
🧨 *Exploit Mode:* Successfully executing a hack in a sandboxed environment to see if the AI can actually trigger specific on-chain state changes.

The data isn't just theory; EVMbench uses a dataset of *120 real-world vulnerabilities* curated from 40 different audits and professional contests. We also look at the massive recent jump in performance, where top models like *GPT-5.3-Codex* have evolved from exploiting less than 20% of critical bugs to over 70%! Is the future of blockchain security fully autonomous? Let's find out! 🔐✨

Source Attribution: Information sourced from "Open-source benchmark EVMbench tests how well AI agents handle smart contract exploits" by Sinisa Markovic, Help Net Security (February 19, 2026).

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