January 2015 Blog Posts (6)

Phone Software Entrepreneurs? Under 30 Forbes List

Forbes published an under 30 tech list featuring entrepreneurs who've made it big. Read about it …

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Added by Michael Levin on January 27, 2015 at 12:30pm — No Comments

Getting Started With Android

Interested in Android programming? Here's a nice, recent article at Lifehacker outlining good, free resources to get you going. http://lifehacker.com/i-want-to-write-android-apps-where-do-i-start-1643818268 ;

Added by Michael Levin on January 22, 2015 at 11:05am — No Comments

Pay What You Want: Back-End Developer Course Bundle

Pay What You Want: Back-End Developer Course Bundle…

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Added by Michael Levin on January 20, 2015 at 10:23am — No Comments

Speak at OSCON!

Here's a message from O'Relly about OSCON 2015:

We're deep into planning OSCON 2015 and we've got some exciting news: OSCON is changing. We're no longer beating the drum and…

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Added by Michael Levin on January 9, 2015 at 11:47am — No Comments

O'Reilly Solid Conference CFP closes 1/20!

The O'Reilly Solid conference is in San Diego in June and it's all about the merging of HW/SW for the IoT. Want to get involved? The Call for Papers is open and there are loads of benefits in giving a presentation for an O'Reilly conference., Take it from me! It's a great thing to do for the community and you learn a ton…

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Added by Michael Levin on January 9, 2015 at 9:30am — No Comments

How to Use SQL, Hadoop, Drill, REST, JSON, NoSQL, and HBase in a Simple REST Client

Our friend Carol just published this article.

SQL will become one of the most prolific use cases in the Hadoop ecosystem, according to Forrester Research. Apache Drill is an open source SQL query engine for big data exploration. REST services and clients have emerged as popular technologies on the Internet. Apache HBase is a hugely popular Hadoop NoSQL…

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Added by Michael Levin on January 7, 2015 at 1:45pm — No Comments

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InfoQ Reading List

Anthropic Finds LLMs Can Be Poisoned Using Small Number of Documents

Anthropic's Alignment Science team released a study on poisoning attacks on LLM training. The experiments covered a range of model sizes and datasets, and found that only 250 malicious examples in pre-training data were needed to create a "backdoor" vulnerability. Anthropic concludes that these attacks actually become easier as models scale up.

By Anthony Alford

Cloudflare Proposes Merkle Tree Certificates to Solve Post-Quantum TLS Performance Issue

Cloudflare's innovative Merkle Tree Certificates (MTCs) revolutionize WebPKI, enabling a seamless transition to Post-Quantum (PQ) cryptography without performance penalties. By minimizing TLS handshake overhead and integrating Certificate Transparency, MTCs promise enhanced security while addressing latency concerns, paving the way for future-ready internet security.

By Steef-Jan Wiggers

Java News Roundup: New Jakarta AI Specification, GlassFish, Spring RCs, Infinispan 16, Open Liberty

This week's Java roundup for November 3rd, 2025, features news highlighting: a new Jakarta AI specification; the fourteenth milestone release of GlassFish 8.0; second release candidates of Spring Boot 4.0, Spring for GraphQL 2.0 and Spring Batch 6.0; the release of Infinispan 16.0; and the November 2025 edition of Open Liberty.

By Michael Redlich

CodeClash Benchmarks LLMs through Multi-Round Coding Competitions

Researchers from Standford, Princeton, and Cornell have developed a new benchmark to better evaluate coding abilities of large language models (LLMs). Called CodeClash, the new benchmark pits LLMs against each other in multi-round tournaments to assess their capacity to achieve competitive, high-level objectives beyond narrowly defined, task-specific problems.

By Sergio De Simone

Presentation: Growing and Cultivating Strong Machine Learning Engineers

Vivek Gupta shares best practices for managing and mentoring ML engineers, from early-career development to senior leadership growth. He breaks down the crucial, distinct skills for Production Machine Learning, including data/model management, building training pipelines, LLM prompt evaluation, privacy/security, and integrating human-in-the-loop processes for reliable, scalable AI systems.

By Vivek Gupta

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