Codetown ::: a software developer's community
Excellent, and funny too
http://blog.aegisub.org/2008/12/if-programming-languages-were-religions.html?m=1
Added by Michael Levin on December 10, 2013 at 12:00pm — No Comments
Added by Michael Levin on December 10, 2013 at 10:52am — No Comments
Did you know Swampcast has interviews with Jonathan Schwartz, former CEO of Sun Microsystems, Brion Vibber, former CTO of Wikipedia, Pandora's CEO and CTO and more? Here's the story of Swampcast:…
ContinueAdded by Michael Levin on December 10, 2013 at 10:08am — No Comments
Engine Yard created an infographic that will help you learn about node.js:
"Node.js is a server-side framework for JavaScript that has…
ContinueAdded by Michael Levin on December 8, 2013 at 8:00am — No Comments
Many of you probably know Dave - he wants some feedback on Magnolia and so do I. http://www.magnolia-cms.com/product/features/overview.html It's open and full featured and I like it. WHat do you know about it?…
Added by Michael Levin on December 7, 2013 at 9:28pm — No Comments
Added by Michael Levin on December 6, 2013 at 11:42am — No Comments
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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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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
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 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 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
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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