And I have to admit a bit of “Tell me again that this system does not actually _understand_ what happened in early American history, what literary tradition LMM is an inheritor of and practices in, or what human emotion is like. That it just does matrix multiplication very well.”
AI
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ChatGPT Image Generation Surpasses 1 Billion Milestone in India
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ChatGPT Images 2.0 India. Already more than 1 billion images created there; awesome to see.
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Google researchers: can’t imagine publishing transformer paper now, return to academia?
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Google researchers say they can’t imagine being allowed to publish the transformer paper now. Time to return to academia?
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Yoshua Bengio’s Large-Scale Graduate Student Descent Breakthrough
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The key AI breakthrough of the last 20 years, due to Yoshua Bengio, was large-scale graduate student descent.
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Google releases beginner-friendly prompt engineering guide
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9/ Prompting Guide 101 – by @Google A beginner-friendly resource to master the fundamentals of prompt design. → https://
services.google.com/fh/files/misc/
gemini-for-google-workspace-prompting-guide-101.pdf
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Anthropic Releases Comprehensive Prompt Engineering Guide
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7/ Prompt Engineering Overview – by @Anthropic A structured guide with best practices, techniques, and tutorials to improve your prompts step by step. → https://
docs.anthropic.com/en/docs/build-
with-claude/prompt-engineering/overview
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Anthropic releases engineering guide for building effective AI agents
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4/ Building Effective Agents – by @Anthropic Core principles for designing agents that are dependable and efficient. → https://
anthropic.com/engineering/bu
ilding-effective-agents
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OpenAI Releases Comprehensive Guide to Building AI Agents
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3/ A Practical Guide to Building Agents – by @OpenAI A comprehensive, step-by-step guide from OpenAI on creating and deploying AI agents. → https://
cdn.openai.com/business-guide
s-and-resources/a-practical-guide-to-building-agents.pdf
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RSI and continual learning as barriers to AI takeoff
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So the two most obvious barriers to some sort of true AI takeoff are robust RSI (AI acting as an independent AI researcher, rather than “merely” a multiplier of human effort) and continual learning. Either would represent a major change in trajectory for AI development.
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Using AI for workplace context retrieval and task automation
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so much joy in asking codex for random questions at work (such as finding some specific spreadsheet i'd been looking at a while ago), much more fun than searching around for context by hand