Hush is a GitHub Action that automatically labels issues using a decision model that returns probability scores, only applying labels when confidence exceeds configurable thresholds. Unlike other LLM-based triage bots, it abstains from labeling when uncertain, costing roughly $0.00002 per issue.
TypeSafe AI has developed System One Models, a new class of AI systems built with Reinforcement Learning for Calibrated Decisions (RLCD) that produce typed outputs with confidence estimates rather than text. Unlike RLHF-trained language models optimized for human preferences, these models are designed for machine automation, offering reliability, speed, and type-safety at significantly lower cost than traditional LLMs.
A junior engineer reflects on how confidence often outweighs technical skills in career impact, particularly in collaborative environments. The author advocates for strategic overconfidence as a growth tool, recommending 'fake it till you make it' approaches supported by body language research, while emphasizing that confidence is a skill that requires continuous practice to maintain.