Loop Engineering | AddyOsmani.com
You don't really need to be good at prompting anymore. The thing to get good at is the loop that does the prompting for you. It's five building blocks plus s...
Knowing When to Stop: The Art of Making a Loop Converge | Andreessen Horowitz
The systems that matter will not be the ones that can keep going. They all can.
Thinking with Sand: A Talk Series Exploring New Software Tools for Creative Exploration and Augmented Thinking At the MIT Media Lab
Thinking Frameworks | 2021
Sharing out the best meta-thinking tools I’ve learned this year
[AINews] Loopcraft: The Art of Stacking Loops
a quiet day lets us highlight a great concept from Peter Steinberger, Boris Cherny, and Andrej Karpathy
What is “loop engineering?”
There’s talk about loop engineering, but what is it exactly? I looked into it, and found triggers, cron jobs, AI slop & more. Is it a “here today, gone tomorrow” trend?
Tree-sitter - a new parsing system for programming tools - Strange Loop
Strange Loop is a conference for software developers covering programming langs, databases, distributed systems, security, machine learning, creativity, and more!
Why we're bullish on loops
WTF are loops, why is everyone arguing about them, and why do they actually matter?
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…
(iterate think thoughts): Painting with Gaussians
Dmitri's blog about programming, Clojure, and software development
Discovery Loop — Continuous Exploration
Discovery Loop is building AI systems that automate the experimental loops of science and engineering. Continuous Exploration.
Building personal tools by programming
Callysto: Bringing Jupyter and Computational Thinking to the K-12 Curriculum
Cybera and the Pacific Institute for Mathematical Sciences are participating in the new national CanCode program, to develop coding and digital skills from kindergarten to grade 12. With the launch of the Callysto project, we are creating tools and frameworks that help teachers bring computational thinking into their math, science, social sciences, and humanities courses - giving students the analytical skills needed to comprehend the digital world. Leveraging the Jupyter 'All-in-One' Science Platform to put friendly yet powerful compute tools in classroom settings, we are creating showcase modules and workshop training for K-12 teachers to incorporate data and computing into the broad curriculum. At this presentation, you will learn about how Callysto will: Bring computational thinking to classrooms through K-12 teacher training Create opportunities to participate in free workshop training sessions and content creation Help K-12 teachers gain public recognition for participating in this educational training project Note: This presentation is related to our 2017 BCNET presentation on "Bringing The Thunder: Deploying Jupyter Notebooks For Research, Education, And Innovation." View Slidedeck
The Human-in-the-Loop is Tired
On reward functions, dopamine, and what it actually feels like when the code starts writing itself
