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If your interested in playing with Java on Raspberry PI - another round of the "Oracle Massive Open Online Course: Develop Java Embedded Applications Using a Raspberry Pi" is starting May 19th. You…Continue
Tags: RaspberryPi, embedded, java
Started this discussion. Last reply by Michael Levin Apr 10, 2014.
Chris Schaefer has not received any gifts yet
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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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 Farry
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 Couriol
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 Simone
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 Kumili
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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Best, Mike
Chris,
Thanks for making the November 2013 GatorJUG and OrlandoJUG meetings a success. Everyone liked your presentation and we learned a lot. I noticed more questions after your talk than in the majority of other presentations we've had. People were tuned in and listening. Spring *is* a big deal and you dissected it well. All the best, Michael
Hi Chris - thanks for the great presentation last night at the GatorJUG.