Nous Hermes 3 and exploiting underspecified evaluations

The latest model from one of the most popular fine-tuning labs makes us question how a model should be identified as a "frontier model."
This is AI generated audio with Python and 11Labs.
Source code: https://github.com/natolambert/interconnects-tools
Original post: https://www.interconnects.ai/p/nous-hermes-3

0:00 Nous Hermes 3 and exploiting underspecified evaluations
5:29 Parsing training lessons from Hermes 3

Fig 1: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_005.png
Fig 2: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_010.png
Fig 3: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_012.png
Fig 4: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_020.png
Fig 5: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_027.png
Fig 6: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_030.png
Fig 7: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_032.png
Fig 8: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/nous-hermes-3/img_036.png

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