![[D] How do ML engineers view vibe coding?](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-graph-nodes-a2pnJLpyKmDnxKWLd5BEAb.webp)
[D] How do ML engineers view vibe coding?
<!-- SC_OFF --><div class="md"><p>I've seen, read and heard a lot of mixed reactions about software engineers (ie. the ones who aren't building ML models and make purely deterministic software) giving their opinions on AI usage. Some say it speeds up their workflow as it frees up their time so that they can focus on the more creative and design-oriented tasks, some say it slows them down because they don't want to spend their time reviewing AI-generated code, and a lot of other views I can't really capture in one post, and I do acknowledge the discussion on this topic is not so black and white.</p> <p>That being said, I'm sort of under the impression that ML Engineers are not strictly software engineers, even though there may be some degree of commonality between the both, and since that m
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Mitigating collusive self-preference by redaction and paraphrasing
tldr: superficial self-preference can be mitigated by perturbation, but can be hard to eliminate Introduction Our goal is to understand and mitigate collusion, which we define as an agent’s failure to adhere to its assigned role as a result of interaction with other agents . Collusion is a risk in control , in particular, untrusted monitoring. An agent can collude with its monitor by secretly embedding cues in its output to cause the monitor to overlook harmful actions. The embedded cues don’t need to be subtle when the communication channel is less restricted: the agent can persuade the monitor. With a more restricted channel, the agent can still collude with the monitor using mechanisms like steganography or schelling points . In reward modeling , collusion manifests as self-preference :
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