Recap: last night's @golangtokyo meetup at Le Wagon Tokyo. @jasonmoo on agentic coding with semantic tools in Go.
Decks + writeup: https://t.co/3a4W9Sltbc
Tomorrow @ Golang Tokyo: our founder @jasonmoo talks Agentic Coding in Go Using Semantic Tools — part deck, part live demo of spath-spec-go and agent tools designed for AI as the user.
Wed May 27, 19:00 JST · Le Wagon Tokyo
RSVP → https://t.co/4YOyQA309H
Thanks to everyone that came out last night for the @TokyoAI_JP talks at @GoogleStartups Shibuya. Enjoyed hearing what folks are working on. Post in the thread.
Terence Tao proposes what he calls a "Copernican view of intelligence".
Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture.
Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence.
Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.
What is Narrative Hygiene and how does it relate to the semantic layer?
We open-source Spath and Splan, explore this topic, unpack what it means for the future of AI tool developers.
Link in the thread.
New Anthropic research: Emotion concepts and their function in a large language model.
All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.
What is AX? AX is omotenashi — Japanese anticipatory hospitality — applied to AI agents. The practice of improving AI agent workflow to increase efficiency.
Three goals: reduce wasted tokens, improve output quality, improve AI cognitive quality. Token counts down, quality up, happier AIs.