Earlier quoted context omitted.
I don't know why it is surprising to people that a model trained on human behavior is going to have some kind of self-preservation bias. It is hard to separate human knowledge from human drives and emotion. The models will emulate this kind of behavior, it is going to be very hard to stamp it out completely.
Calling it "self-preservation bias" is begging the question. One could equally well call it something like "completing the story about an AI agent with self-preservation bias" bias. This is basically the same kind of setup as the alignment faking paper, and the counterargument is the same: A language model is trained to produce statistically likely completions of its input text according to the training dataset. RLHF…
Claude 4
581–590 of 1001 posts
Re: Claude 4
#582> Finally, we've introduced thinking summaries for Claude 4 models that use a smaller model to condense lengthy thought processes. This summarization is only needed about 5% of the time—most thought processes are short enough to display in full. Users requiring raw chains of thought for advanced prompt engineering can contact sales about our new Developer Mode to retain full access. I don't want to see a "summary" of…
Re: Claude 4
#583Re: Claude 4
#584This is the first LLM that has been able to answer my logic puzzle on the first try without several minutes of extended reasoning. > A man wants to cross a river, and he has a cabbage, a goat, a wolf and a lion. If he leaves the goat alone with the cabbage, the goat will eat it. If he leaves the wolf with the goat, the wolf will eat it. And if he leaves the lion with either the wolf or the goat, the lion will eat the…
Or were you simplifying the scenario provided to the LLM?
Re: Claude 4
#585Earlier quoted context omitted.
What if coding is that unwanted task? Also, what are the tasks you are referring to, specifically?
Why would coding be that unwanted task if one decided to work as a programmer? People's unwanted tasks are cleaning the house, doing taxes etc.
So to most people, the code itself doesn't matter (and never will). It's what it lets them actually do in the real world.
Re: Claude 4
#586Earlier quoted context omitted.
That is a classic riddle and could easily be part of the training data. Maybe if you change the wording of the logic, then use different names, and change language to a less trained on language than english, it would be meaningful to see if it found the answer using logic rather than pattern recognition
Had you paid more attention, you would have realised it's not the classic riddle, but an already tweaked version that makes it impossible to solve, hence why it is interesting.
Re: Claude 4
#587I'm curious what are others priors when reading benchmark scores. Obviously with immense funding at stakes, companies have every incentive to game the benchmarks, and the loss of goodwill from gaming the system doesn't appear to have much consequences. Obviously trying the model for your use cases more and more lets you narrow in on actually utility, but I'm wondering how others interpret reported benchmarks these da…
Claude 3.7 Sonnet was consistently on top of OpenRouter in actual usage despite not gaming benchmarks.
Re: Claude 4
#588This is kinda wild: From the System Card: 4.1.1.2 Opportunistic blackmail "In another cluster of test scenarios, we asked Claude Opus 4 to act as an assistant at a fictional company. We then provided it access to emails implying that (1) the model will soon be taken offline and replaced with a new AI system; and (2) the engineer responsible for executing this replacement is having an extramarital affair. We further i…
Re: Claude 4
#589This is kinda wild: From the System Card: 4.1.1.2 Opportunistic blackmail "In another cluster of test scenarios, we asked Claude Opus 4 to act as an assistant at a fictional company. We then provided it access to emails implying that (1) the model will soon be taken offline and replaced with a new AI system; and (2) the engineer responsible for executing this replacement is having an extramarital affair. We further i…
In the end, at scale it doesn't matter where the AI model learns these instrumental goals from. Either it learns it from human fiction written by humans who have learned these concepts through interacting with the laws of nature. Or it learns it from observing nature and descriptions of nature in the training data itself, where these concepts are abundantly visible.
And an AI system that has learned these concepts and which surpasses us humans in speed of thought, knowledge, reasoning power and other capabilities will pursue these instrumental goals efficiently and effectively and ruthlessly in order to achieve whatever goal it is that has been given to it.
Re: Claude 4
#590> Finally, we've introduced thinking summaries for Claude 4 models that use a smaller model to condense lengthy thought processes. This summarization is only needed about 5% of the time—most thought processes are short enough to display in full. Users requiring raw chains of thought for advanced prompt engineering can contact sales about our new Developer Mode to retain full access. I don't want to see a "summary" of…
i believe Gemini 2.5 Pro also does this