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Post by Bob McGrew on X

Bob McGrew@bobmcgrewai

That o1 is better than GPT-4.5 on most problems tells us that pre-training isn't the optimal place to spend compute in 2025. There's a lot of low-hanging fruit in reasoning still. But pre-training isn't dead, it's just waiting for reasoning to catch up to log-linear returns.

749 likes35 repliesPosted Feb 27, 2025

View the original on X Written by Bob McGrew. 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

Opens with a short, self-contained line that is easy to take in at a glance.
The opening line stands alone, so it reads completely before the post is expanded.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Turn
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

Posts built the same way

Arnaud Bertrand

I have a website about Traditional Chinese Medicine that I spent literal years building. When I asked questions to Claude about the topic, it parroted almost word-for-word what I myself wrote. So please spare us the gaslighting about training AI on others' work...

one dozen rats at a keyboard

It’s embarrassing but the Jimmy Kimmel debacle actually is important. It was the first real attempt by the Project 2025 movement to flex their muscle against someone who wasn’t a nameless, defenseless nobody and it catastrophically flopped in less than a week.

So much cope about DeepSeek. Not only did they release a great model. they also released a breakthrough training method (R1 Zero) that’s already reproducing. I doubt they lied about training costs, but even if they did they’re still awesome for this great gift to the world.

Horse Nomad (Chicago-style) ⚔️

Famously, human learning takes *very little* energy. A toddler learns thousands of words and an entire grammar while eating nothing but raspberries, before learning to read. An LLM needs a nuclear reactor and the entire internet as a training corpus.

First recovery in the ByBit hack. ~$43m (15,000 cmETH) has been clawed back from the hacker. I saw the recovery possibility soon after the hack and SEAL connected me with Mantle/mETH team who made it happen. Huge shoutout to SEAL, Mantle, and mETH teams for their quick action.

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)

More from Bob McGrew

“Models keep getting more impressive at the rate the short timelines people predict, but more useful at the rate the long timelines people predict.” Good post.

Bob McGrew on Health · ViralLoop