Codetown
Codetown ::: a software developer's community
Is the next big thing already here?
Create or innovate. What does East know about West? A lot. We speak different languages, even use different alphabets. No problem, says Samsung. Samsung's ad dep't makes it clear, even funny. Hilarious!
Economic models are different, too. Like polar extremes. One gives you everything you need in exchange for your time. The other promises you everything you want if you rise to the top. On your own.
Who says there's nothing new under the sun? Just a few years ago we started data mining. The tech pyramid enabled social networking. With that came GitHub, cloud computing, and the coolest adaptors.
If you're working on food, shelter and clothing it makes sense to build a foundation and learn existing technology. Want a boat? You can either save up and buy a seat or get creative and buy your own.
What do you think?
Comment
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.
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
Presentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan WiggersGoogle Introduces TranslateGemma Open Models for Multilingual Translation
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.
By Daniel Dominguez
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