knowledge

Aaron Levie argues that AI is a force multiplier for experts, enabling them to produce higher quality work, while lacking expertise leads to slop. Henry Shevlin adds that internalized knowledge is essential for creative association and filtering misinformation.

Hazy Research showed that an MLP can be initialized with embedded knowledge without training, and a transformer can then query and use that knowledge, hinting at continual learning capabilities.

An analysis discussing how reliance on algorithm-driven discovery may diminish our capacity for unanticipated exploration and insight.

This article reports benchmark results showing that quantization has little effect on knowledge benchmarks (GPQA) but significantly degrades agentic performance (Terminal-Bench 2) for Qwen 3.6 models, with further observations on timeout settings and run variability.

An article advocating for unrestricted access to knowledge, likely addressing barriers in research or technology sharing.

Ian Channing criticizes companies that waste money on RAG systems that perform no better than Google AI, arguing that access to a corpus doesn't equate to deep expertise and that reasoning cannot be cleanly separated from knowledge.

This paper traces the origin and history of the Muddy Children Puzzle, a classic epistemic logic puzzle, through publications spanning two centuries, and presents a novel hats puzzle involving self-reference.

A comparison of Gemma 4 12B and 31B models shows that the smaller model retains reasoning capabilities nearly intact but suffers significant knowledge loss, making it ideal for reasoning tasks while the larger model is better for broad knowledge Q&A.

The article argues that agentic AI tools shift the bottleneck from coding ability to domain expertise, making those who can verify correctness in both code and domain the most valuable.