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Joel Neely
Michael Levin

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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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

Google Cloud KMS Launches Post-Quantum KEM Support to Combat "Harvest Now, Decrypt Later" Threat

Google Cloud's Key Management Service now supports post-quantum Key Encapsulation Mechanisms (KEMs), addressing future threats from quantum computing. This update empowers organizations to prepare against "Harvest Now, Decrypt Later" attacks while ensuring long-term data confidentiality.

By Steef-Jan Wiggers

Anthropic Introduces Skills for Custom Claude Tasks

Anthropic has unveiled a new feature called Skills, designed to let developers extend Claude with modular, reusable task components.

By Daniel Dominguez

AWS Launches EC2 Capacity Manager for Centralized, Cross-Account Capacity Optimization

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By Steef-Jan Wiggers

Cloudflare Introduces Email Service to Compete with Amazon SES, Resend, and SendGrid

During Cloudflare's recent Birthday Week, the company announced the private preview of its Cloudflare Email Service. This new globally managed service enables developers to send and receive emails directly from Workers using native bindings, without the need for API keys.

By Renato Losio

PyTorch Monarch Simplifies Distributed AI Workflows with a Single-Controller Model

Meta’s PyTorch team has launched Monarch, a framework that simplifies distributed AI workflows across multiple GPUs and machines. It uses a single-controller model to manage computations across a cluster, making large-scale training and reinforcement learning tasks easier while allowing developers to keep their standard PyTorch coding practices.

By Robert Krzaczyński

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