December 2015 Blog Posts (4)

Hadoop and big data - believe the hype?

Ok, don't shoot the messenger: http://www.infoworld.com/article/3013151/hadoop/report-dont-believe-the-hype-about-hadoop-usage.html

What do you think? True or hype, in your experience?

Added by Michael Levin on December 22, 2015 at 1:38pm — No Comments

Learning JavaScript?

If you're learning JavaScript or just interested in how it's moving along, this survey has some nuggets to glean like what the most popular tools are these days. Have a look: https://ponyfoo.com/articles/javascript-developer-survey-results

Added by Michael Levin on December 16, 2015 at 9:30pm — No Comments

new JUG Africa social group

The new JUG Africa social group is live! Check it out here: https://community.oracle.com/groups/jug-africa-social-group



http://medianetwork.oracle.com/video/player/4640558532001

And more…

Continue

Added by Michael Levin on December 7, 2015 at 10:30am — No Comments

Early-access build b95 of JDK 9 is available for download

Hi All,



Early-access builds of JDK 9 with Project Verona in b95 are

available for download here https://jdk9.java.net/download



The goal of this Project is to implement the new JDK version string as

described in JEP-223. http://openjdk.java.net/jeps/223



The new version-string scheme is designed to easily distinguish major,

minor, and security-update… Continue

Added by Michael Levin on December 7, 2015 at 10:30am — No Comments

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InfoQ Reading List

Transformers v5 Introduces a More Modular and Interoperable Core

Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs.

By Robert Krzaczyński

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.

By Sergio De Simone

Lyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach

Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies.

By Eran Stiller

AWS Transform Custom Tackles Technical Debt

AWS Transform Custom revolutionizes code modernization with AI-driven, out-of-the-box transformations for Java, Node.js, and Python. This enterprise-focused tool accelerates application upgrades by up to 5x while learning from organizational nuances to deliver high-quality, repeatable transformations.

By Steef-Jan Wiggers

Article: Trustworthy Productivity: Securing AI Accelerated Development

Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.

By Sriram Madapusi Vasudevan

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