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Models & Research

New models, benchmarks, papers and research breakthroughs.

Illustration for: Introducing Shieldstral.
Models & Research

Shieldstral introduces a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size by framing content moderation as a policy-adaptive question-answering task. Unlike traditional guardrail models, it accepts plain-language policies at inference time, unifying text and image safety evaluation without retraining.

Mistral AI News5 min
Illustration for: SambaRack SN50 Benchmarked on MiniMax M2.7 by SemiAnalysis
Models & Research

SambaRack SN50 Benchmarked on MiniMax M2.7 by SemiAnalysis SemiAnalysis Benchmarks SambaRack SN50 with Fast Inference on MiniMax M2.7 MiniMax M2.7 is a model used by many of our customers around the world that helps augment their coding and agentic workflows using the fast inference speed of SambaNova’s SN40 to accelerate their tasks.

SambaNova Blog5 min
Illustration for: 2026 BAIR Graduate Showcase
Models & Research

Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D.

BAIR Blog (UC Berkeley)11 min
Illustration for: Introducing Muse Spark: Scaling Towards Personal Superintell
Models & Research

Introducing Muse Spark: Scaling Towards Personal Superintelligence Introducing Muse Spark: Scaling Towards Personal Superintelligence Today, we’re excited to introduce Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Meta AI6 min
Illustration for: Components of A Coding Agent
Models & Research

In this article, I want to cover the overall design of coding agents and agent harnesses: what they are, how they work, and how the different pieces fit…

Ahead of AI (Sebastian Raschka)16 min