AI's Plummeting Prices Are a Software Story, Not a Hardware Onekept by eddie • may 22The rapid decline in AI inference costs is driven by software innovations rather than hardware, enabling local open-weight models to compete with frontier APIs.AboutAnthropic · OpenAI · Claude · Llama.cpp · QwenFiled#ai#ai-agents#developer-tools#open-source#software-engineeringRelatedUnsloth Studio | Hacker NewsUnsloth launches Unsloth Studio, an open-source, no-code web UI for locally running, training, and exporting 500+ open models with 2x faster training and 70% less VRAM.also on Llama.cpp, Qwen, #open-source, #ai, #developer-toolsRunning local models is good nowLocal agentic coding models have reached surprising quality and usability over the past six months, now offering ~75% of frontier-model accuracy for many development tasks on a 64GB M2 Mac.also on Llama.cpp, Qwen, #open-source, #developer-toolsAI #156 Part 1: They Do Mean The Effect On JobsAI is now visible in US productivity statistics as job growth revises down but GDP stays strong, indicating a structural shift from AI-driven automation.also on Qwen, Claude, OpenAI, Anthropic, #open-source, #ai2025: The year in LLMsThe 2025 LLM landscape was defined by reasoning models, coding agents, Chinese open weight models, prompt-driven image editing, CLI tools, and OpenAI losing its lead.also on Qwen, OpenAI, Anthropic, #ai-agents, #open-source, #ai, #developer-tools
AI's Plummeting Prices Are a Software Story, Not a Hardware One