- Nous Research launches Hermes 4 open-source AI models that outperform ChatGPT on math benchmarks with uncensored responses and hybrid reasoning capabilities.
- One of the defining features is its native long-context capability, with a maximum length of 512,000 tokens, 2X OpenAI's GPT-5 family.
- Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.
- New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.
- For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.
- The verdict, for now, is split. OpenAI’s gpt-oss models are a landmark in terms of licensing and accessibility.
- Enterprises can use a powerful, near topline OpenAI LLM on their hardware totally privately and securely, without sending data to the cloud.
- My initial tests revealed the text and prompt adherence was not noticeably better than Midjourney, the popular proprietary AI image generator
- Arora explains this as a difference between searching for a path versus already knowing roughly where the destination lies.


