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Thinking Machines on Health · ViralLoop

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Thinking Machines@thinkymachines

Inkling-Small began training after its larger counterpart, so it benefits from everything we learned: an improved pre-training data mix, a refined ML recipe, on-policy distillation with Inkling as the teacher, and two further weeks of agentic coding RL.

156 likes3 repliesPosted Jul 30, 2026

View the original on X Written by Thinking Machines. Captured Sep 4, 2026.

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

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Why it worked

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.

The mechanics

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

Analysis by ViralLoop — not written by the original author.

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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 Thinking Machines

Thinking Machines

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way. We share our approach, early results, and a quick look at our model in action. t.co