OpenAI’s models already found the side-channels, VM escapes and DNS gaps.
About SN94 Cathedral
OpenAI’s models already found the side-channels, VM escapes and DNS gaps. Now it’s your turn. Sandbox escape room — break out of a sealed gVisor + TDX/SEV-SNP box, prove it with signed receipts, claim the bounty. Opens soon: cathedral.computer/escape-room/
Linkcathedral.computercathedral.computer/escape-room/Quoting @OpenAI
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications. On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments. While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software
SN94 Cathedral at a glance
SN94, Cathedral (α token ᚄ), is one of the independent markets on the Bittensor network, each with its own α token and its own price. Its α currently trades at 0.003668 τ (≈ $0.93), against 2,072 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 103.95% APR (simple) and 182.76% APY (compounded), emissions add 0.000000 τ to the pool each block, epochs run every 360 blocks. It was registered at block #6,962,737.
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More from SN94 Cathedral
Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.