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Post by Yam Peleg on X

Yam Peleg@Yampeleg

so I think it is safe to assume that all major players have reached the limits of training longer and collecting more data already.. It is all about data quality now.. which takes time..

743 likes36 repliesPosted Nov 9, 2024

View the original on X Written by Yam Peleg. Captured Sep 4, 2026.

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Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Ends on a short line that is easy to quote and repeat.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Short sentences keep the pace up, so the reader never has to re-read a line.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: personal
Written for: Founders, marketers and operators

Analysis by ViralLoop — not written by the original author.

Topics

Posts built the same way

one dozen rats at a keyboard

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As shocking as the Kimi K3 release. Massive performance gain was just with post-training Model is 3x smaller than GLM 5.2 (10x smaller than K3) & works on a MacBook / Spark This is Q1 flagship (Opus 4.6/GPT 5.4) level for < $0.28/m tokens (100x cheaper)

Together with SpaceXAI, we’re training a significantly larger model from scratch, using 10x more total compute. With Colossus 2’s million H100-equivalents and our combined data and training techniques, we expect this to be a major leap in model capability.

More from Yam Peleg

imagine dropping 40T tokens into 2T parameters with 10M context length multimodality and then just uploading it to huggingface

ChatGPT pro coming? - Unlimited access to o1, o1-mini, GPT-4o - Unlimited advanced voice - Access to "o1-pro mode" - $200 per month source: t.co

Heard a leak from one of the frontier labs (not oai tbh), they reached an unexpected HUGE wall of diminishing returns trying to brute-force better results by training longer & using more and more data.. (more severe than what is published publicly)

Yam Peleg on Health · ViralLoop