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MegaTrain: Full Precision Training of 100B+ Parameter LLMs on a Single GPU

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1 SIGNALFIRST DETECTED 8 April 2026
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12 May
Supercomputer networking to accelerate large scale AI training

<a href="https://news.ycombinator.com/item?id=48104282">Comments</a>

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31 Mar
Google's 200M-parameter time-series foundation model with 16k context

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10 Sept
Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes

<a href="https://news.ycombinator.com/item?id=49637435">Comments</a>

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9 May
DeepSeek V4 paper full version is out, FP4 QAT details and stability tricks [D]

<!-- SC_OFF --><div class="md"><p>DeepSeek dropped the full V4 paper this week. preview from april was 58 pages, this version adds a lot of technical depth.</p> <p>What stood out

OPINION · WHEN · MachineLearningOPEN STORY
22 Mar
Flash-Moe: Running a 397B Parameter Model on a Mac with 48GB RAM

<a href="https://news.ycombinator.com/item?id=47476422">Comments</a>

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27 Mar
RYS Part 3: LLMs think in geometry, not language — new results across 4 models, including code and math

<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

OPINION · WHAT · LocalLLaMAOPEN STORY
24 Mar
Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe

<a href="https://news.ycombinator.com/item?id=47504695">Comments</a>

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15 Jul
Murati's Thinking Machines Releases Open-Weights 975B Parameter LLM

<a href="https://news.ycombinator.com/item?id=48924929">Comments</a>

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