印奇认为，当下AI行业陷入了“成本与规模死循环”：规模小则成本高，成本高则客户少，客户少则规模永远起不来。尽管目前千里科技已为吉利系提供了30万智驾设备上车，但距离印奇设想的“亿级终端”还有很远距离，成本居高不下。
It is also worth remembering that compute isolation is only half the problem. You can put code inside a gVisor sandbox or a Firecracker microVM with a hardware boundary, and none of it matters if the sandbox has unrestricted network egress for your “agentic workload”. An attacker who cannot escape the kernel can still exfiltrate every secret it can read over an outbound HTTP connection. Network policy where it is a stripped network namespace with no external route, a proxy-based domain allowlist, or explicit capability grants for specific destinations is the other half of the isolation story that is easy to overlook. The apply case here can range from disabling full network access to using a proxy for redaction, credential injection or simply just allow listing a specific set of DNS records.
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