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March 2014 Blog Posts (4)
Seven Versions of One Web Application
Free Webcast Tuesday, April 8, 2014
Join Yakov Fain in this fast-paced comparison of different ways of developing HTML5 Web applications.
We'll start with architecture and code review of a basic HTML/JavaScript version of a sample charity application, switch to its jQuery version, then show how to do it with Ext JS framework.
In the second part of the webcast, we'll move the app to mobile. First we'll implement the… Continue
Added by Michael Levin on March 29, 2014 at 4:08pm — No Comments
Java 8 Resources (thanks to Mattias Karlsson)
Guess you know about all the resources and video cast Oracle provided
at the Java 8 Launch site:
http://www.oracle.com/events/us/en/java8/index.html
On top of that we have released all Java 8 talks from Jfokus 2014
including the Keynote with Georges Saab and Mark Reinhold.
Except the talks from a number of Oracle speakers you can find these
and many more:
-Java 8 Language…
Added by Michael Levin on March 29, 2014 at 9:01am — No Comments
Stack Overflow, Communities and Intimidation
We envision Codetown to be a free flow of ideas and questions in addition to a networking tool we also post events on. Here's an interesting take on participation and intimidation on Stack Overflow. Ideas? Comments? …
Added by Michael Levin on March 8, 2014 at 11:32am — No Comments
OSCON is coming!
OSCON is the O'Reilly Open Source Conference. And, it's right around the corner! The call for papers just occurred. It is an annual event that occurs in Portland, OR and this year it's July…
ContinueAdded by Michael Levin on March 8, 2014 at 6:20am — No Comments
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Happy 10th year, JCertif!
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
Article Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.
By Arthur CasalsHow CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
By Sergio De SimoneAnthropic announces Claude CoWork
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
By Andrew HoblitzellTracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
By Leela KumiliMIT's Recursive Language Models Improve Performance on Long-Context Tasks
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively decompose and process inputs, and can handle prompts up to 100x longer than base LLMs.
By Anthony Alford
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