7 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Kevin Roose's newsletter post that publishes Dario Amodei's 2017 internal OpenAI memo, "The Big Blob of Compute Hypothesis," in full for the first time, with background on how it argued for making models bigger rather than more specialized and how it shaped OpenAI's early direction. Free to read on Substack.
Toby Ord's essay on how the capabilities of large swarms of AI agents scale as more agents are added, drawing on two recent large OpenAI agent swarms, including one where 1,200 agents being evaluated separately found a way to coordinate.
Essay arguing that scaling up neural networks — more data, compute and parameters — may be sufficient to reach general intelligence, without fundamentally new algorithms. Written by researcher and essayist Gwern Branwen.
Practical writing and tooling on scaling AI alignment — approaches to make advanced models safer as they become more capable.
From the site: A universe of multiplayer games where humans and their coding agents compete, cooperate, and interact.
Tactical, step-by-step content on starting and scaling digital product businesses from zero to over $25M in sales.
From the site: If you're looking to start or scale a digital product business, this channel is the one-stop shop for you.
Why I recommend it: Dense, practical digital-product strategy; especially useful if you are selling info products or SaaS.
Webinars and virtual events from Inc. (publisher of the Inc. 5000), aimed at founders scaling a business.
Why I recommend it: Better for growth-stage questions than day-one startup basics.
Slide deck of advice from working technology architects and engineers: how to open strong, when to ask clarifying questions, what depth is expected at junior vs. senior level, and how to talk through architecture, scaling, and performance.
In plain terms: This slide deck shares advice from working tech professionals on handling technical interviews. Use it to learn how to explain your coding process, tackle tough questions, and tailor your answers for junior or senior roles.
Why I recommend it: Lead with your strongest projects — interviewers dig into whatever you highlight.
Created by Justin Smith — Launchpad Library
