LLMs1 min read
Git kernel's CPU drain from abusive crawlers
Git.kernel.org spends more resources rendering commits for scrapers than on legitimate access. This affects services like Datasette.
From Simon Willison
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
Git.kernel.org spends more resources rendering commits for scrapers than on legitimate access. This affects services like Datasette.
From Simon Willison
Research1 min read
BioSync combines multiple physiological measurements into a continuous biomarker using a transformer-based architecture, evaluated on synthetic cohorts with promising results.
From arXiv cs.AI
Research1 min read
The Corporate Language Model (CLM) transforms enterprise knowledge into an ontologically grounded foundation, enabling reasoning and executable actions within organizational contexts.
From arXiv cs.AI
LLMs1 min read
A 0.6B language model's behavior was examined, revealing calibration failures where internal verdicts are misaligned with output logits, affecting accuracy and interpretability.
From arXiv cs.CL
Research1 min read
A new framework uses neural ODEs to predict constitutive behavior of digital materials, capturing nonlinear, rate-dependent responses across compositions.
From arXiv cs.AI
LLMs3 min read
Anthropic publish the system prompts for their Claude consumer applications (Claude.ai and the Claude mobile apps - sadly not for Claude Cowork or Claude Code). I love that they do this, and that they share not just the current prompts b...
From Simon Willison
LLMs1 min read
Python 3.15.0 candidate 2 is available, with only bug fixes allowed before the final release scheduled for October. Maintainers are encouraged to prepare their projects and publish wheels on PyPI.
From Simon Willison
AI1 min read
A PhD student is working to involve young people in shaping digital technologies that support their well-being, emphasizing community participation in AI development.
From MIT News: artificial intelligence
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.
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.