<!-- SC_OFF --><div class="md"><p>​</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find
<!-- SC_OFF --><div class="md"><p><strong>Disclosure:</strong> I'm the builder of this tool. Sharing because the technical approach is different from everything else I've seen,
<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1s1izcp/introducing_netryx_astra_v2_an_open_source_engine/"> <img alt="Introducing Netryx Astra V2: an open
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model
<!-- SC_OFF --><div class="md"><p>So far I have only tried Qwen and olmOCR. My biggest struggle at the moment has been extracting a date that is oriented in a title block, where
<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a
<!-- SC_OFF --><div class="md"><p>Until last week, generating an image inside Claude meant Claude wrote you a prompt. Then you copied it. Opened another tab. Pasted it into
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