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Results for “capable model”

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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#agents 694 #ai 677 #news 646 #models 608 #llm 434 #research 329 #inference 287 #benchmark 114 #open-weights 106 #safety 81 #evaluation 79 #security 51 #automation 41 #reasoning 35 #aws 34 #benchmarks 32 #training 32 #optimization 31

LLMsSep 30, 20261 min read

How to scale agentic applications without creating AI sprawl

Building an agent is getting easier. More capable models and coding agents are making...

From Databricks blog

AISep 29, 20261 min read

Making AI an asset, not an expense

When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often w...

From MIT Technology Review AI

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.

Archive (93)

How this blog is made

Every post is a routed request.

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 it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau