Import AI 458: Making Sense of the Future and a Singularity Scenario

This issue of Import AI features a speech delivered at Oxford's HAI Lab and a fictional story about a positive singularity. The speech examines how rapid AI progress presents society with a choice: explore the future or retreat from the present. The author describes their interaction with AI from spell-checking to deep personal advice and creating repeatable skills based on their own content.

Anthropic

Managing Reasoning Levels in Large Language Models

The article explains how reasoning models like DeepSeek-R1 and GPT-5.6 learn to produce reasoning traces via reinforcement learning with verifiable rewards (RLVR). It details the training process, inference scaling, think tokens, and how reasoning effort modes (low/medium/high) are implemented through supervised fine-tuning and tokenizer switches.

OpenAI DeepSeek Moonshot AI