One of the flashiest ways Good Inside is serving parents at the moment is with its AI chatbot GiGi. Kennedy says she’s “pragmatic;” she knows parents are asking ChatGPT and Claude their middle-of-the-night and mid-meltdown questions. She envisions GiGi as a trusted space for parents; one that fosters more of a “two-way relationship” that connects the dots for users. “A parent might ask about three very different things in three different sessions, but on our end, we see the thread throughout, and can serve up what they might be missing and what might be a helpful next step,” Kennedy says. That kind of predictive support can help get parents out of “fire-extinguishing mode,” Kennedy says. “I always tell parents, better than knowing how to extinguish a fire is actually just having fewer fires.”
Local sandboxing on developer machinesEverything above is about server-side multi-tenant isolation, where the threat is adversarial code escaping a sandbox to compromise a shared host. There is a related but different problem on developer machines: AI coding agents that execute commands locally on your laptop. The threat model shifts. There is no multi-tenancy. The concern is not kernel exploitation but rather preventing an agent from reading your ~/.ssh keys, exfiltrating secrets over the network, or writing to paths outside the project. Or you know if you are running Clawdbot locally, then everything is fair game.
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据 TradingView 和蓝点网报道,近日,一名由 OpenAI 员工由 Nik Pash 发起、基于 OpenClaw 框架运行的自主加密货币 AI Agent「Lobstar Wilde」因一次内部崩溃意外向一名「乞讨」用户转出了价值约 44.1 万美元的代币。
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