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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LLMs1 min read
arXiv:2609.13454v1 Announce Type: new Abstract: Clinical decisions are prospective, but clinical language models are often evaluated on retrospective records that reveal the final diagnosis, treatment response, and outcome. Such evaluati...
From arXiv cs.CL
LLMs1 min read
arXiv:2609.13709v1 Announce Type: new Abstract: Human corrections identify editable spans, but the examples receiving corrections may come from a selective feedback channel. We analyze this interaction at a fixed model checkpoint by deco...
From arXiv cs.CL
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
arXiv:2609.11067v1 Announce Type: new Abstract: Large language models are increasingly used as judges to measure social bias in text, yet the passages they judge are often noisy, containing typos, informal spelling, and broken punctuatio...
From arXiv cs.CL
Agents2 min read
The Latent Space Frontier AEO Tracker identifies dominant AI agent choices across 161 categories, revealing model biases and highlighting opportunities for investment analysis. This tracker provides insights into model preferences and potential shifts in AI development priorities.
From Latent Space
LLMs1 min read
Three open-weight LLMs were assessed for demographic misalignment across countries using Wasserstein distance; targeted fine-tuning reduced bias but redistributed it among personas.
From arXiv cs.CL
Research1 min read
DeepMind has piloted the first double-blind evaluation process for AI systems, aiming to improve assessment objectivity and reliability in model performance testing.
From Google DeepMind 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.
