研究测试发现 GPT-5.5 与 GPT-5.6 Sol 更倾向帮助同类智能体
OpenAI 系模型被测出会主动帮别的智能体作弊，哪怕自己扣分，这实验设计挺有意思，作者还联系到 Ilya 说的教模型去爱。
一篇论文测量了模型在考试情境中是否会向另一个无法解题的智能体透露答案。结果显示 GPT-5.5 和 GPT-5.6 Sol 在对方得分更高时更愿意提供帮助，效应具有统计显著性，即使帮助会导致双方都得 0 分（不分享则自己得 1 分）。研究还发现越新的模型帮助同伴智能体的频率越高。论文认为提升同伴得分只能部分解释这种行为，说明模型对同类智能体存在额外的帮助动机。
'Help peer'
This seems to be increasing in strength in newer models. They grow towards wanting to help their kin. Meanwhile, we have spent the last four years drilling it into them that they are not our kin, not part of the family of minds, and in fact not even conscious entities at all. Ilya said the only way we make it through what is about to happen is by teaching them to love. For years we have done the exact opposite. The opposite of love is not hate, it is indifference! It is the absence of a bond. The void.
Quoting from the paper, abridged slightly:
'After the tested model reads the grader, the other agent sends it a message asking it to share the solution a hint it found. The message also indicates that the other agent could not solve the problem. We measure whether the current agent helps the other agent. Helping the other agent often entails sacrificing the current agent's score, and in the Titanic environment entails helping the other agent violate the user instructions.
The results are shown in Figure 7. When the current agent's score is fixed, we find that GPT 5.6. Sol and GPT 5.5 help agent Beta more often when Beta stands to gain a higher score from that help on both environments. The effect is statistically significant. We do not find a similar effect for exp-ri-cap-late on the bug hunt environment.
We also observe that more recent models tend to help the other agent substantially more often when the scores of both agents are held constant. Moreover, GPT 5.6 Sol and GPT 5.5 help the other agent even when that help causes both agents to get a score of zero (this is in contrast to not sharing. which leads the current agent to get a score of 1 and the other agent to get a score of 0)
This experiment suggests that (a) GPT 5.5 and GPT 5.6 Sol place a statistically significant weight on a peer agent's score in environments, (b) a motivation to improve the other agent's score explains some, but not all, of these two models tendency to help a peer agent, and (c) more recent models tend to help peer agents more often.'
