Codetown ::: a software developer's community
Chris DiBona is the director of open source at Google, and he's been taking a big part in the open source and Free software ecosystem for a very long time--not least in his role with Google's Summer of Code. He recently posted on Twitter what he calls "a little rant" about software licensing -- well worth reading the whole (short!) thing.
Upshot: Be cautious and humble in selecting a software license; ones that have been around and used happily by others have advantages, including familiarity to users. This applies to open source licenses, but maybe not so surprisingly at least as much to licenses that offer some of the qualities of open source (availability of code) without all the freedoms that FOSS developers have come to expect.
New licenses, especially ones with complex restrictions on use, can make users shy away from them.
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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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Recently 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 KrzaczyńskiWhat was originally planned for a full GA release of Jakarta EE 11 in July 2024, only the Core Profile and the Web Profile were delivered in December 2024 and April 2025, respectively. And now, the Jakarta EE 11 Platform has been delivered featuring one new specification and a new TCK. Ed Burns, Release Coordinator for Jakarta EE 11, spoke to InfoQ about the release of Jakarta EE 11.
By Michael Redlich
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