Source-checked AI news, every morning. Each day brings six articles and one digest on new models from labs worldwide, research, essays, local models and agents, and prompting techniques. Every article ends with a verification table that links the primary sources.
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The Apache-2.0 model family combines transcription, layout boxes, image descriptions and chart extraction in models small enough to run locally.
A University of Pennsylvania study separates ordinary calibration error from strategic reporting and finds that delegation rewards can make confidence less informative.
A 12,350-call study found no reliable decline in six cognitive-bias measures as models consumed more reasoning tokens. One direct prompt helped with anchoring.
The Apache-2.0 Hermes Agent plugin asks the main model to summarize a cached conversation prefix, cutting repeated prompt processing in its tests.
The GPL desktop editor combines RAW development, masks, denoising and super-resolution without requiring an account or uploading photographs.
Six models handled defined coding and analysis tasks better than research judgement, house style and experiment design in an evaluation built from Epoch AI's own work.
Research preprints, local projects, technical essays, community tests, security incidents and policy changes: the rest of today's AI news with direct sources.
The small Claude model adds adaptive thinking and a two-tier token price. Anthropic positions it for summaries, browser work and narrowly scoped subagents.
The 3.1-billion-parameter d1-3B and experimental 600-million-parameter d1-omni answer structured questions in one forward pass, with weights available for local deployment.
A preprint finds that a few fixed words at the start of an answer can recover much of the reasoning performance usually associated with reinforcement learning.
A preprint traces how models that update their weights from their own generated text can enter a damaging feedback loop over long inference streams.
The Apache-licensed project keeps Python and model code on a client machine while tensors and CUDA operations run on a remote NVIDIA GPU.