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The TWIML AI Podcast
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More
Artificial Intelligence, Computer Science, Deep Learning and podcast with Sebastian Raschka
The TWIML AI Podcast, 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 researchreasoning-focused post-traininginference-time computationreinforcement learning with verifiable rewardsself-consistencymodel architecturesefficient attentionlong contextscontinual learningagent workflows
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