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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
Elastic Releases Version 9.3.0 With Enhanced AI Tools and OTel Support
Elastic 9.3.0 is now available, featuring enhanced vector search indexing for RAG applications and significant upgrades to the ES|QL query language. The release deepens OpenTelemetry integration for vendor-neutral observability and updates the AI Assistant with better contextual analysis. Security visibility is also expanded across Kubernetes and serverless architectures.
By Mark SilvesterHow Grab Optimizes Image Caching on Android with Time-Aware LRU
To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim storage more effectively without degrading user experience or increasing server costs.
By Sergio De SimoneGoogle Researchers Propose Bayesian Teaching Method for Large Language Models
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses on improving how models update beliefs as they receive new information during multi-step interactions.
By Daniel DominguezCloudflare Introduces Support for ASPA, an Emerging Internet Routing Security Standard
Cloudflare recently announced support for ASPA (Autonomous System Provider Authorization). The new cryptographic standard helps make Internet routing safer by verifying the path data takes across networks to reach its destination and preventing traffic from traversing unreliable or untrusted networks.
By Renato LosioDoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale
DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates multi-turn synthetic conversations using historical transcripts and backend mocks, evaluates outcomes with an LLM-as-judge framework, and enables rapid iteration on prompts, context, and system design before production deployment.
By Leela Kumili
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