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May 2016 Blog Posts (4)
Meeting Mycroft: An Open AI Platform You Can Order Around By Voice
Mycroft developer Ryan Sipes, speaking from the show floor of this year's OSCON in Austin,…
ContinueAdded by Timothy Lord on May 30, 2016 at 11:00pm — No Comments
The Making of Swampcast
Added by Michael Levin on May 28, 2016 at 9:00am — No Comments
Learning Groovy and Self-publishing
What is Groovy and why should I care?
Hello again, it's me, Adam. Earlier this year, I finished my self-published book, Learning Groovy,…
ContinueAdded by Adam Davis on May 25, 2016 at 3:00pm — No Comments
Is Social Networking Over?
Has social networking reached it's peak?
The change from traditional read-only web pages to read write web pages took the world by storm. Web 2.0 gave rise to blogs and social features that gave a voice to the independent. It…
ContinueAdded by Michael Levin on May 3, 2016 at 10:30am — No Comments
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Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Grab Builds Secure Agentic AI Workload Platform
Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.
By Patrick FarryAnthropic Lead: HTML Increasingly Better Than Markdown at Keeping Humans Engaged in Agentic Loops
Thariq Shihipar, engineering lead for the Claude Code team, recently published a blog post (Using Claude Code: The Unreasonable Effectiveness of HTML) arguing that HTML, with its richer visualizations, color, and interactivity, improves the productivity of human-agent communication in many settings, especially when compared to default Markdown outputs.
By Bruno CouriolGoogle OpenRL is an Experimental Self-hosted API for LLM Post-Training Fine-tuning
Google's GKE Labs has introduced OpenRL, an open-source project that provides a self-hosted API for post-training and fine-tuning Large Language Models (LLMs) on standard Kubernetes clusters.
By Sergio De SimoneAI Is Moving up the Software Lifecycle: From Code Review to PRD Governance
Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber, DoorDash, and Cloudflare highlight a shift toward AI-driven governance layers that evaluate engineering artifacts before implementation while preserving human oversight across the development pipeline.
By Leela KumiliPresentation: Rules for Understanding Language Models
Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams.
By Naomi Saphra
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