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  1. Keep Android Open from f-droid.org
    1633 by LorenDB 18h ago | | |

    Article: 37 min

    This article is a summary of updates in the F-Droid app store for the week of February 20th, 2026. It includes information about changes to core F-Droid features, new apps added, updated apps, and removed apps. The main focus is on the banner reminder campaign aimed at raising awareness about Google's plans to become a gatekeeper for Android devices.

    • Google's plans to lock-down Android are still in progress.
    • Banners and warnings have been added to remind users of the situation.
    • F-Droid Basic has undergone several updates including new features like CSV export, install history, mirror chooser setting, and more.
    • Various apps have received updates with bug fixes, improvements, and new features.

    Discussion (592): 2 hr 23 min

    The comment thread discusses concerns over Google's restrictions on sideloading and the potential impact on independent Android distributions. Users express frustration with a lack of competition in the tech industry, particularly regarding antitrust enforcement in the US. There is also a desire for open-source alternatives to proprietary ecosystems like iOS and Android, with some speculating about potential forks from China as an alternative.

    • Google's actions are seen as a threat to independent AOSP distributions and open-source ecosystems.
    • Lack of antitrust enforcement in the US allows for monopolistic practices by tech giants like Google.
    Counterarguments:
    • Some argue that the Chinese market might offer an alternative with open-source software, but this is seen as unlikely given China's control over hardware and software.
    Software Development App Store Updates
  2. I Verified My LinkedIn Identity. Here's What I Handed Over from thelocalstack.eu
    166 by ColinWright 5h ago | | |

    Article: 19 min

    The article discusses the privacy implications and data collection practices of LinkedIn's identity verification process through a third-party company called Persona. It highlights the extensive amount of personal information collected during the verification process and raises concerns about how this data is used, stored, and potentially accessed by US authorities due to the CLOUD Act.

    Privacy concerns may lead users to reconsider using identity verification services provided by third-party companies or platforms with similar data practices.
    • Persona collects a wide range of personal data during the verification process.
    • The collected data is used for AI training and may be accessed by US authorities under the CLOUD Act.
    • There are concerns about the lack of transparency regarding how long the data is stored and its potential use in legal proceedings.
    Quality:
    The article provides detailed information and analysis, but the tone is negative due to the privacy concerns raised.

    Discussion (44): 12 min

    The comment thread discusses concerns about data privacy and security when using online platforms, particularly LinkedIn. Users express frustration with verification processes, lack of European alternatives, and the sharing of personal data with third-party companies. The conversation also touches on the role of the CLOUD Act in facilitating data access across borders.

    • LinkedIn's data handling practices are a concern for users
    • European alternatives to American tech companies are lacking
    • Verification processes can compromise user privacy
    Counterarguments:
    • LinkedIn is an American product, and it's up to European users to choose whether they want to use it or not.
    • American companies are subject to their own laws, which may differ from those of other jurisdictions.
    • European law enforcement agencies have similar powers as US counterparts.
    Privacy Data Privacy, Cybersecurity
  3. Andrej Karpathy talks about "Claws" from simonwillison.net
    114 by helloplanets 3h ago | | |

    Article:

    The article discusses Andrej Karpathy's thoughts on 'Claws', a concept that builds upon Large Language Model (LLM) agents by adding orchestration, scheduling, context management, tool calls, and persistence to their functionality.

    Claws could potentially enhance the efficiency and effectiveness of AI systems, leading to more sophisticated automation and decision-making processes.
    • Claws are a new layer on top of LLMs.
    • NanoClaw is mentioned as an interesting example with 4000 lines of code.
    • Many smaller Claws are starting to emerge.

    Discussion (153): 35 min

    The comment thread discusses various opinions on AI agent naming, specifically focusing on 'Claw' as a name for an AI tool. There is debate over its appropriateness and security implications. The thread also touches on the utility of such tools, local LLMs, and IoT devices.

    • Andrej Karpathy is a significant AI pioneer
    • Claw naming was justified by his experience and knowledge in the field of AI
    Counterarguments:
    • Naming things with silly names is irrelevant
    • The name 'Claw' doesn't connect to persistence, scheduling or inter-agent communication
    AI Artificial Intelligence, Machine Learning
  4. Turn Dependabot off from words.filippo.io
    501 by todsacerdoti 15h ago | | |

    Article: 20 min

    The article argues against using Dependabot for managing security alerts and suggests replacing it with scheduled GitHub Actions running govulncheck and the test suite against latest dependencies.

    Reducing alert fatigue could lead to more effective security practices, potentially improving the overall security posture of software projects.
    • Dependabot is considered a 'noise machine' that discourages more useful work.
    • govulncheck and running tests against latest dependencies are recommended as alternatives.
    • The article provides case studies to illustrate the inefficiency of Dependabot alerts.
    Quality:
    The article presents a clear argument with supporting evidence and avoids sensationalism.

    Discussion (142): 27 min

    The discussion revolves around the effectiveness of tools like govulncheck and Dependabot for managing dependencies in various programming languages. Participants express opinions on the benefits and drawbacks of automation in dependency updates, with a focus on reducing false positives and improving accuracy through static analysis.

    • govulncheck provides more meaningful alerts than Dependabot
    • Dynamic languages require better static analysis for accurate vulnerability identification
    Counterarguments:
    • Automation of dependency updates can lead to unnecessary PRs when dependencies are not used within the codebase.
    Software Development DevOps, Security
  5. I found a Vulnerability. They found a Lawyer from dixken.de
    653 by toomuchtodo 17h ago | | |

    Article: 29 min

    A diving instructor discovers a severe security vulnerability in the member portal of a major diving insurer and responsibly discloses it, only to face legal threats from the company's law firm rather than constructive feedback or remediation efforts.

    Legal threats against security researchers can discourage responsible disclosure and harm public trust in organizations' commitment to data protection.
    • Incrementing numeric user IDs and static default passwords for accounts
    • Exposure of sensitive personal data including minors' information
    • 30-day embargo period before disclosure
    Quality:
    The article presents a clear, factual account of the incident without sensationalizing it.

    Discussion (299): 1 hr 29 min

    The comment thread discusses various issues related to security concerns within organizations and the challenges faced by individuals attempting to disclose such vulnerabilities responsibly, often encountering threats of legal action or demands for non-disclosure agreements. The conversation highlights the disconnect between security best practices and company operations, as well as the risks associated with whistleblowing in this context.

    • Security concerns are not always handled responsibly by companies.
    • Whistleblowing on security issues can lead to negative consequences for the whistleblower.
    Counterarguments:
    • Companies may have legitimate reasons for their responses to security concerns.
    • Whistleblowers should be protected under certain circumstances.
    Security Cybersecurity, Privacy
  6. Facebook is cooked from pilk.website
    1170 by npilk 18h ago | | |

    Article: 6 min

    The article discusses the significant changes in Facebook's content feed over the years, focusing on the shift towards AI-generated content and explicit imagery that seems to cater more to a younger audience.

    • Content feed dominated by AI-generated images and explicit content
    • Shift towards a younger demographic in terms of content preferences
    Quality:
    The article presents a personal opinion on the evolution of Facebook's content feed, with some subjective analysis and anecdotal evidence.

    Discussion (642): 2 hr 46 min

    The comment thread discusses various opinions on Facebook's current state, with users expressing dissatisfaction over an increasingly AI-generated content-filled feed and a decline in meaningful interactions. Despite acknowledging its usefulness for Marketplace transactions and group discussions, many users complain about the platform's prioritization of engagement over quality content, leading to spam, political ragebait, and irrelevant posts.

    • The platform prioritizes engagement over quality of content.
    • Facebook Marketplace has become a dominant feature for local transactions.
    Counterarguments:
    • Facebook groups provide a valuable space for niche interests and communities.
    • The platform remains relevant for group discussions and events, especially in non-US countries.
    • Users can customize their experience by actively engaging with pages that align with their interests.
    Social Media Facebook
  7. Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI from github.com/ggml-org
    754 by lairv 23h ago | | |

    Article: 21 min

    ggml.ai, the team behind llama.cpp, has joined Hugging Face to ensure the long-term progress of Local AI. This partnership aims to support and scale ggml's open-source projects, including improvements in user experience and integration with the transformers library.

    This partnership could lead to more accessible and efficient local AI solutions, potentially democratizing the use of AI technology.
    • ggml.ai and Hugging Face partnership to support the ggml / llama.cpp community
    • Focus on scaling, improving user experience, and integration with transformers library
    • Maintaining open-source nature and community-driven approach

    Discussion (193): 41 min

    The comment thread discusses various aspects related to AI, focusing on the integration of ggml with Hugging Face and its implications for local AI development. Opinions vary regarding the sustainability of Hugging Face's business model and the potential impact of ggml's tools on the ecosystem. There is a general agreement that local AI has a future despite challenges such as limited storage options.

    • Hugging Face's business model supports the open-source community
    • The ggml integration might lead to ecosystem consolidation
    Counterarguments:
    • Large models and limited storage options might hinder the growth of local AI
    AI AI Development, Open Source, Collaboration
  8. Padlet (YC W13) Is Hiring in San Francisco and Singapore from padlet.jobs
    1 by coffeebite 51m ago | |

    Article:

    The article is a heartfelt call to appreciate and honor the hard work of those who have contributed to our daily comforts, joys, and memories, encouraging readers to show up for them by working hard themselves.

    • Acknowledgment of the contributions of past generations
    • Encouragement to show appreciation through hard work
    Quality:
    The article is more of a motivational piece than an objective analysis or informative content.

    Discussion (0):

    More comments needed for analysis.

    Business Career
  9. Wikipedia deprecates Archive.today, starts removing archive links from arstechnica.com
    471 by nobody9999 18h ago | | |

    Discussion (280): 45 min

    The comment thread discusses the controversy surrounding archive.today, a service that has been accused of altering archived pages and conducting DDoS attacks. Users debate the necessity of such practices for survival against threats like doxxing and argue for the need of reliable alternative archiving services. The discussion highlights concerns about web archiving ethics, legal implications, and privacy issues.

    • archive.today is a controversial service due to its practices of altering archived pages and conducting DDoS attacks.
    Counterarguments:
    • Some users defend archive.today by highlighting its utility in bypassing paywalls and suggesting that its practices are necessary for survival against threats like doxxing.
  10. Understanding Std:Shared_mutex from C++17 from cppstories.com
    19 by ibobev 3d ago | |

    Article: 25 min

    This article discusses the limitations of `std::mutex` in handling read-mostly data structures, introduces `std::shared_mutex`, a reader-writer mutex added in C++17, and demonstrates its usage with examples. It also measures performance gains when using `std::shared_mutex` over `std::mutex` for read-heavy workloads.

    Improves the efficiency and scalability of concurrent applications, particularly those with read-heavy workloads.
    • Introduction of std::shared_mutex for read-mostly data structures
    • Comparison with std::mutex on thread scalability and performance
    • Refactoring a counter example using std::shared_mutex

    Discussion (2):

    The comment discusses the lack of idiomatic ways in C++ and Rust for setting specific flags when initializing a read-write lock, highlighting that such functionality is often provided by crates in Rust.

    • C++ standard lacks idiomatic way to set specific flags when initializing a read-write lock
    • Rust offers crates for certain use cases
    Programming C++
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