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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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AI11 min read
Daron Acemoglu says AI adds just 1.5 percent to global GDP over ten years. He believes human adaptation limits productivity gains more than model size.
From The Decoder
AI1 min read
According to researchers at the Deepmind Institute, general AI won't emerge as a single supermodel but as a network of cooperating agents and humans. What will matter most, they argue, is not model size but the rules and institutions tha...
From The Decoder
How this blog is made
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LLMs1 min read
Research demonstrates that distilled byte models, utilizing Marginalize-It and End-Of-Token methods, outperform token models in low-FLOP regimes. The study reveals that byte models achieve higher downstream task performance with increased compute, offering improved data efficiency and reduced storage costs.
From arXiv cs.CL
LLMs1 min read
This post outlines the key components of an open-source AI stack for developers, including models, inference infrastructure, gateways, and harnesses. It highlights the benefits of using open models, particularly Mixture-of-Experts models like Kimi K3 and GLM 5.3 Flash, and their advantages for agentic workflows.
From Together AI blog
LLMs1 min read
A new 4-bit model, dubbed Quantization-Aware Healing, achieves performance comparable to its full-precision original. This technique offers a compressed model size with minimal impact on accuracy for running AI agents.
From Hugging Face blog
LLMs1 min read
This report details the evolving state of open models, focusing on size trends, licensing options, and key performance indicators for models deployed in production environments. It highlights shifts in model architecture and accessibility for engineers.
From Hugging Face blog
Research1 min read
Scaling laws are one of the most critical empirical findings in deep learning. The observation is simple in form: the training loss $L$ decreases predictably as we scale up model size $N$, dataset size $D$, and compute $C$, following a p...
From Lil'Log (Lilian Weng)
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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