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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

I IMPROVED 15 LLMS AT CODING IN ONE AFTERNOON. ONLY THE HARNESS CHANGED

There's no real consensus on the best solution to the simple 'how do you change things' problem. None of the current tools give models a stable, verifiable identifier for the lines to be changed without wasting tremendous amounts of context and depending on perfect recall. This post discusses a solution where, when a model reads a file, or greps for something, every line comes back tagged with a 2-3 character content hash, and when the model edits, it references those tags. This approach can result in an over 8% improvement in Gemini's success rate with zero training compute cost.

LEADING INFERENCE PROVIDERS CUT AI COSTS BY UP TO 10X WITH OPEN SOURCE MODELS ON NVIDIA BLACKWELL

Leading inference providers like Baseten, DeepInfra, and Together AI are cutting AI costs by up to 10x using open source models on NVIDIA Blackwell GPUs. In healthcare, companies like Sully.ai reduced inference expenses, improving response times and freeing up valuable time for doctors. In gaming and customer service, NVIDIA Blackwell's optimized platforms enable Latitude and Decagon to slash token costs while enhancing user experiences and managing high workloads effectively.

MINIMAX'S NEW OPEN M2.5 AND M2.5 LIGHTNING NEAR STATE-OF-THE-ART WHILE COSTING 1/20TH OF CLAUDE OPUS 4.6

Minimax has released two new variants of its M2.5 language model. While it is supposed to be open source, the weights and code have yet to be posted, nor has the company indicated the exact license type or terms. The models drop the cost of inference by as much as 95% while delivering performance that rivals top-tier models. They can be accessed through MiniMax's API and those of partners.

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