Most unexpected was Paramount stock’s jump. Wall Street almost always disdains giant acquisitions on the theory that buyers get too excited about big deals and overpay—and indeed, that’s usually what happens. When the deal gets sealed, the buyer’s stock usually drops, but in this case it rose almost 30%. That’s probably because analysts were pleasantly surprised: They had figured Paramount would need to raise its offer from $30 to $32–$34 a share to vanquish Netflix; instead, Paramount offered just $31 and prevailed.
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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.
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.，推荐阅读搜狗输入法2026获取更多信息