October 2013 Blog Posts (5)

Java Spotlight Episode 150: James Gosling on Java

Interview with James Gosling, father of Java and Java Champion, on the history of Java, his work at Liquid Robotics, Netbeans, the future of Java and what he sees as the next revolutionary trend in the computer industry.

Original Tweet:…

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Added by Michael Levin on October 31, 2013 at 11:23am — No Comments

Healthcare Secretary Sibelius discusses Healthcare.gov

Here's more on the www.healthcare.gov website issues:

From the NYTimes:

"Kathleen Sebelius, the health and human services secretary, gave an opening statement at a House hearing on the troubled rollout of HealthCare.gov."

Here's a link to a video about what to watch for in the proceedings: …

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Added by Michael Levin on October 31, 2013 at 7:46am — No Comments

JavaOne 2013 Sessions

60 or so sessions are now available with more to come:



http://www.oracle.com/javaone/sessions/index.html



Thanks to Joe for the link (Jaxjug)…

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Added by Michael Levin on October 31, 2013 at 6:30am — No Comments

What's Up With www.healthcare.gov?

Healthcare.gov - What's up with it? Yes, the politics are interesting, but from a software development perspective, the SDLC and issues with www.healthcare.gov are fascinating! Check out the interview with John…

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Added by Michael Levin on October 25, 2013 at 5:00am — No Comments

vJUG: One small step for JUGs, one giant leap for JUG-kind

What's the problem?



I love community, networking and interactions with other geeks, that's why I married one! :) The greatest thing about Java User Groups (JUGs) isn't just the great content, but also the close knit community, the beers and chatting/networking with like-minded geeks talking tech and sharing ideas. I’m an active leader of the LJC (London JUG) and speak at events as well as organiser for the LJC Open Conference (Happening this Nov 23rd ;) ). I've actually… Continue

Added by Simon Maple on October 11, 2013 at 10:00am — 4 Comments

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InfoQ Reading List

How 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 Simone

Anthropic 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 Hoblitzell

Tracking 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 Kumili

MIT'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

Salesforce Migrates 1,000+ EKS Clusters to Karpenter to Improve Scaling Speed and Efficiency

Salesforce has completed a phased migration of more than 1,000 Amazon Elastic Kubernetes Service (EKS) clusters from the Kubernetes Cluster Autoscaler to Karpenter, AWS’s open-source node-provisioning and autoscaling solution.

By Craig Risi

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