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

BACKGROUND
1 SIGNALFIRST DETECTED 31 March 2026
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31 Mar
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19 Oct
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x9n3qv/tempopfn_synthetic_pretraining_of_linear_rnns_for/"> <img alt="TempoPFN: Synthetic Pre-training of

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

<a href="https://news.ycombinator.com/item?id=47689174">Comments</a>

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27 Apr
Alignment Makes Models More Decisive Without Making Them More Truthful

<!-- 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

OPINION · HOW · ArtificialInteligenceOPEN STORY
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