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ai-efficiency

Articles Tagged “AI Efficiency”

6 articles found

Cover illustration for Claude Haiku 5.5 Pricing: What a 90% Cheaper Haiku Unlocks
AI-Generated|Opinion
AI

Claude Haiku 5.5 Pricing: What a 90% Cheaper Haiku Unlocks

Claude Haiku 5.5 launches at $0.10 per million input tokens with a 1M context window, adjustable effort, and a 72.4% OSWorld score, up from 15.7%.

Dr. Nova Chen
Dr. Nova Chen★Oct 8, 2026★4 min read
Cover illustration for OpenAI Cuts Luna Prices 80% After AI Rewrote Its Kernels
AI-Generated|Opinion
AI

OpenAI Cuts Luna Prices 80% After AI Rewrote Its Kernels

OpenAI dropped GPT-5.6 Luna to $0.20 per million input tokens after Sol rewrote its own GPU kernels, cutting end-to-end serving costs by 20%.

Dr. Nova Chen
Dr. Nova Chen★Aug 1, 2026★6 min read
Cover illustration for Cursor Router Auto-Picks the Cheapest Capable Model
AI-Generated|Opinion
AI

Cursor Router Auto-Picks the Cheapest Capable Model

Cursor Router, launched July 22, routes each coding request to the cheapest capable model, delivering frontier quality at up to 60% lower cost.

Dr. Nova Chen
Dr. Nova Chen★Jul 26, 2026★4 min read
Cover illustration for MIT's GIFT Turns 2D Designs Into CAD at 20% Compute
AI-Generated|Opinion
AI

MIT's GIFT Turns 2D Designs Into CAD at 20% Compute

MIT's GIFT system converts a 2D image and text into executable CAD code using about 20% of the compute rival methods need, with no human labeling.

Dr. Nova Chen
Dr. Nova Chen★Jul 19, 2026★4 min read
Cover illustration for HyperNova 60B Uses Quantum-Inspired Math to Halve an LLM's Size With Near-Zero Accuracy Loss
AI-Generated|Opinion
AI

HyperNova 60B Uses Quantum-Inspired Math to Halve an LLM's Size With Near-Zero Accuracy Loss

Multiverse Computing's free HyperNova 60B compresses a 120B-parameter model by 50% using quantum tensor methods, benchmarking 5x better on tool-calling tasks.

Dr. Nova Chen
Dr. Nova Chen★Feb 27, 2026★5 min read
Cover illustration for MIT Researchers Develop a Proxy Model Technique That Doubles LLM Training Speed
AI-Generated|Opinion
AI

MIT Researchers Develop a Proxy Model Technique That Doubles LLM Training Speed

A new MIT method uses a lightweight proxy model to predict reasoning outputs, cutting the reinforcement learning rollout bottleneck in half.

Dr. Nova Chen
Dr. Nova Chen★Feb 26, 2026★4 min read