4 articles found
Most people use AI poorly not because models are weak, but because they lack Harness Engineering thinking. This article breaks down why LLM outputs are inconsistent, introduces the three-layer prompt architecture (Role, Context, Output Spec), and shares 5 techniques to double your prompt quality — plus how to build a personal Prompt Library for reproducible AI workflows.
TRAE stands out because it does more than generate smart answers. It reduces friction, keeps long context, coordinates agentic workflows, and pushes work all the way to a usable result.
M3 hits 59% on SWE-Bench Pro (beating GPT-5.5), adds engineering-grade 1M-token context and native multimodality — the first open-source model with all three. Four verifiable advantages behind MiniMax's 2026 rise and what they mean for your model choices.
AI is here. A legal intern's week of work got wiped out by an AI agent in two hours. Travel agents, customer support, even programmers are first in line. How long do salary earners really have? This article explains why the labor income floor is being pulled out, why capital income becomes the lead, the right way to diversify through ETFs, and three under-the-radar variables for 2026.