Codetown ::: a software developer's community
Guess you know about all the resources and video cast Oracle providedat the Java 8 Launch site:…Continue
Started by Michael Levin. Last reply by Michael Levin Mar 29, 2014.
In this interview, Google’s Josh Bloch shares his views on the…Continue
Started by Michael Levin Dec 21, 2010.
JCertif is one of the first Java related conferences in the Republic of Congo, Brazzaville. Sponsored by…Continue
Tags: Max Bonbhel, Michael Levin, swampcast, africajug, congojug
Started by Michael Levin Aug 25, 2010.
Here's an update from the Chair of the JCP and director of the JCP Program office: Patrick Curranhttp://java.ulitzer.com/node/965152JSR Watch: Here’s…Continue
Started by Michael Levin May 19, 2009.
Are you doing much concurrent programming? I attended some of the concurrency talks at the NFJS conference and I'm using a mix of the old synchronized and the new(ish) java.util.concurrent classes.…Continue
Tags: Concurrency, J2SE
Started by Matt Weber Aug 31, 2008.
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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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Phil Calçado, CEO of Outropy, shared key insights at the InfoQ Dev Summit on scaling generative AI products. He highlighted the need for effective workflows and agents in AI development, advocating for iterative approaches that leverage proven software engineering principles. His insights promise to guide teams in building resilient AI systems without reinventing the wheel.
By Andrew HoblitzellRecently open-sourced by Google, the Agent2Agent protocol is now part of the Linux Foundation, along with its accompanying SDKs and developer tools.
By Sergio De SimoneApple Machine Learning Research published a paper titled "The Illusion of Thinking," which investigates the abilities of Large Reasoning Models (LRMs) on a set of puzzles. As the complexity of the puzzles increases, the researchers found that LRMs encounter a "collapse" threshold where the models reduce their reasoning effort, indicating a limit to the models' scalability.
By Anthony AlfordDenys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a "crawl, walk, run" approach to LLM metric maturity for successful, trust-building deployments.
By Denys LinkovGoogle DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.
By Robert Krzaczyński
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