*:not(.content-image-wrapper)]:tablet:col-span-12 [&*:not(.content-image-wrapper)]:desktop:col-span-7 [&.interactive-diagram-component]:tablet:col-span-12 [&.interactive-diagram-component]:desktop:col-span-8 [&form-wrapper]:tablet:col-span-12 [&form-wrapper]:desktop:col-span-8 [&.expressive-code]:tablet:col-span-12 [&.expressive-code]:desktop:col-span-8 [&.table-component]:tablet:col-span-12 [&.table-component]:desktop:col-span-8" At Datadog, our commitment to open source means operating transparently and accepting that our repositories will be probed by adversaries. A few months ago, we shared our approach to detecting malicious open source contributions in the nearly 10,000 internal and external pull requests (PRs) that we receive every week. Malicious actors are adopting LLMs to guide and scale their operations, and we as defenders must also use them to keep pace.
同事尝完第一口白桦树汁,沉默两秒,给出了这个评价。
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我的判断依据是:认知的主战场正在从短视频转向AI。