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Erik Torenberg on Health · ViralLoop

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Post by Erik Torenberg on X

Erik Torenberg@eriktorenberg

An underexplored way of forming habits is paying someone you like to to check in & bother you until you do them(exercise, sleep, eat well) There should be a service to cheaply enable this (especially for people struggling w/ mental health) You’ll ignore an app, but not a person

204 likes40 repliesPosted Nov 20, 2021

View the original on X Written by Erik Torenberg. 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

Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: Founders, marketers and operators

Analysis by ViralLoop — not written by the original author.

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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)

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 Erik Torenberg

E12 w/ @beffjezos @bayeslord @labenz is up. We discuss: - Unpacking Effective Accelerationism - Effective Accelerationism vs Effective Altruism - AI safety vs AI accelerationism In case you’d like a break from doomscrolling, here’s the anti-doomer take on accelerating AI

There should be something like a Wikipedia for careers: Lists of career paths, how & what skills you'll need to break-in & rise up, how much $ you’d earn over time, lifestyle/happiness pros&cons, recommended paths based on interests & skills & personality type, case studies etc

Get a “life board” — meet with a crew of ~4 peers 3-4x a year to discuss big life, career, and finance decisions. Benefits: feedback, advice, accountability, raised ambitions, and long-term friendships & working relationships.

Some people are great systems thinkers but their models of the world are too neat and thus don’t allow for the messiness inherent to pursuing more emergent endeavors. These people are more often scalers than starters.

There should be a Path-like product but for Twitter—a product that enables you to have a private Twitter for ~150 people. Right now we have group chats and we have Twitter, but little in-between that also maintains the asynchronous, cumulative building block aspects of Twitter.

MBAs are mostly about the network & credential, since content is commodity Imagine an "MBA" alternative only for people who get *accepted* to a few top schools—but choose not to enroll It'd be the same network & credential b/c same filter, same content—but 90%+ cheaper/no debt