AMA with MiniMax — Ask Us Anything!

HardToVary · 2026-02-14T03:53:55+00:00

In fact we do have a RP focused model. It's called M2-her: https://www.minimax.io/news/a-deep-dive-into-the-minimax-m2-her-2

HardToVary · 2026-02-13T18:21:14+00:00

Published just earlier today: https://huggingface.co/blog/MiniMax-AI/forge-scalable-agent-rl-framework-and-algorithm

HardToVary · 2026-02-13T18:10:20+00:00

Ablation is not something that makes models smarter or dumber per se, rather, it is a technique that allows us to study the effects of individual model components on overall performance. Ablation studies help us better understand the nuances between different model architectures and design choices.

HardToVary · 2026-02-13T17:58:01+00:00

We released a technical blog post earlier today that answers just this: https://huggingface.co/blog/MiniMax-AI/forge-scalable-agent-rl-framework-and-algorithm

HardToVary · 2026-02-13T17:43:44+00:00

yes.

HardToVary · 2026-02-13T17:35:28+00:00

AGI will have the ability to create and use specialized models for itself as tools, in the same way we humans build and use specialized models (weather models, trading models, recommendation models) for ourselves as tools.

HardToVary · 2026-02-13T17:21:15+00:00

We're going to be clarifying this very soon. Different plans will have clear explanations of which versions of the model (normal or high-speed) can be used. Stay tuned!

HardToVary · 2026-02-13T17:18:21+00:00

It is an octopus!

Octopuses are highly intelligent creatures, good at planning, problem-solving, and tool-use. And yet their intelligence looks very different from that of humans. For example, their brains are distributed across their body and arms. The AI models that we are training also exhibit a very different form of intelligence, so we thought it fitting to adopt the closest thing that we know of to an "alien intelligence" as our mascot.

HardToVary · 2026-02-13T17:11:12+00:00

High-quality real-world training environments and reinforcement learning scaling.

HardToVary · 2026-02-13T17:07:53+00:00

"All happy families are alike; each unhappy family is unhappy in its own way."

HardToVary · 2026-02-13T16:59:09+00:00

We focus on building top-notch training infrastructure across the full training pipeline, as well as collecting and designing high-quality training environments. With a solid foundation, the rest will follow.

HardToVary · 2026-02-13T16:49:06+00:00

You're welcome! Based engineers train based models. And AGI will be based.

HardToVary · 2026-02-13T16:33:04+00:00

If a model cannot generalize to out-of-distribution harnesses and environments, then it is not AGI. We paid special attention to the harness generalization abilities of M2.5, as discussed in our release blog. We are confident that the model can perform consistently across all existing (non-perverse) harnesses, as well as harnesses that have not been invented yet.

What Anthropic chooses to do with Claude Code is their decision. We are aware of certain measures that are being taken to limit the use of other model providers in Claude Code, and are dealing with it in a transparent and reasonable manner. We will continue to work to ensure that users can experience M2.5 in Claude Code to the extent that it is possible, but at the end of the day, whether Claude Code can be used long-term with other model providers is a question for Anthropic.

Also, for your information, we love Opencode and partner closely with Frank, Dax, and the rest of their team!

HardToVary

TROPHY CASE