Blog
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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Agents2 min read
GitHub Copilot’s improvements focus on reducing unnecessary context and formatting, rather than simply minimizing token usage. This approach, validated through agentic coding benchmarks and controlled experiments, delivers cost savings without sacrificing task quality.
From GitHub blog: AI & ML
Agents1 min read
Anthropic released Claude Fable 5.1 and Claude Mythos 5.1, positioning them as advanced models for coding and knowledge work. A 75% reduction in cache read pricing is accompanied by a 70% increase in output tokens, leading to a 20% net cost increase.
From Latent Space
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
LLMs1 min read
IBM Research has developed ALTK Evolve, a system that achieves comparable performance to models like ACE while utilizing significantly fewer tokens. This reduces operational costs and improves inference speed for agent-based applications.
From Hugging Face blog
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.
