"How NVIDIA Built Nemotron 3 Open Model" by "Caleb Writes Code" x "Joey Conway"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1synobs/nvidianemotron3nanoomni30ba3breasoningbf16/"> <img

<!-- 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

<!-- 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/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sskmhv/recent_open_models_from_last_6_months_nov_2025/"> <img alt="Recent Open models from last 6 Months -

<!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find

&#32; submitted by &#32; <a href="https://www.reddit.com/user/borowcy"> /u/borowcy </a> <br /> <span><a href="https://openai.com/index/jalapeno-first-results/">[link]</a></span>

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a