The Evolution of Reasoning in Small Language Models
Episode · Jan 29, 2026
The TWIML AI Podcast
Podcast, The TWIML AI Podcast
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More
Hosted by Sam Charrington
About
Sebastian Raschka reviews changes in language-model research, including reasoning-focused post-training, inference-time computation and reinforcement learning with verifiable rewards. The discussion connects these methods with self-consistency, model architectures, efficient attention and long contexts, while examining limits in continual learning and the reliability of agent workflows.
Topics
- language-model research, search World Wide
- reasoning-focused post-training, broader topic: post-training
- inference-time computation
- reinforcement learning with verifiable rewards, search World Wide
- self-consistency, search World Wide
- model architectures
- efficient attention, broader topic: attention
- long contexts, search World Wide
- continual learning
- agent workflows