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  1. Small models also found the vulnerabilities that Mythos found from aisle.com
    747 by dominicq 7h ago | | |

    Article: 44 min

    The article discusses the capabilities of AI in cybersecurity by comparing the results of Anthropic's Mythos model with those of smaller, cheaper models. It argues that while AI can find vulnerabilities and exploit them to some extent, the real 'moat' or barrier lies in the system itself rather than just the model used.

    AI's role in cybersecurity is nuanced; it can enhance detection but requires human oversight to ensure reliability and trustworthiness.
    • AI models, including smaller, cheaper ones, can detect vulnerabilities similar to those found by Mythos.
    • The capability frontier for AI cybersecurity is jagged, not scaling smoothly with model size or price.
    Quality:
    The article presents a detailed analysis and comparison of AI models in cybersecurity, providing evidence for its claims.

    Discussion (204): 1 hr 4 min

    The discussion revolves around comparing Mythos's capabilities to those of smaller models in finding vulnerabilities within large codebases, with opinions on the cost-effectiveness and methodology used by Anthropic. There is agreement that smaller models can find similar vulnerabilities but concerns about false positives and the impact on cybersecurity firms if Cloud Mythos becomes a simple GitHub hook.

    • The cost of using Mythos for large codebases is high compared to smaller models.
    • Anthropic's demonstration methodology was flawed, as they provided hints and isolated specific code sections.
    Counterarguments:
    • The false positive rate for small models is a concern.
    • The impact on cybersecurity firms might not be as significant if Cloud Mythos becomes a simple GitHub hook.
    AI/ML , Cybersecurity
  2. Apple Silicon and Virtual Machines: Beating the 2 VM Limit (2023) from khronokernel.com
    107 by krackers 3h ago | | |

    Article: 16 min

    The article discusses a Mac Admin Intern's experience working with macOS Virtual Machines on Apple Silicon, focusing on the limitation of having only two active guest VMs at once and how to bypass it by booting a development kernel. The author also covers building a custom kernel collection, configuring the machine for custom boot args, and the implications of using a custom kernel for OS updates.

    Enthusiasts may be able to utilize more virtual machines for development or testing purposes, potentially increasing productivity. However, the workaround might not be officially supported by Apple, which could lead to potential security risks and system instability.
    • Apple's implementation of the VM limit within the kernel
    • Boot-args hv_apple_isa_vm_quota for overriding the VM limitation
    • Challenges with streamlined OS updates when using custom kernels
    Quality:
    The article provides detailed, technical information on a specific topic with clear instructions and explanations.

    Discussion (52): 7 min

    The comment thread discusses the arbitrary VM limit on Apple's macOS platform, with opinions varying on whether it should be hardware-based and if it serves as a business decision to prevent misuse of Apple hardware. The conversation also touches upon the comparison between macOS and Linux ecosystems, technical issues like SIP and dconf, and the role of Apple in the development platform landscape.

    • Apple prioritizes hardware sales over development platform capabilities
    Counterarguments:
    • macOS has always been 'almost Linux' controlled by Apple, not a serious development platform
    • Most developers prefer Linux for its ecosystem and compatibility with server environments
    • Apple's hardware is consumer-oriented but used as development tools due to lack of alternatives
    • The VM limit applies only to macOS VMs launched from macOS itself
    Computer Science Operating Systems, Software Development
  3. 447 TB/cm² at zero retention energy – atomic-scale memory on fluorographane from zenodo.org
    111 by iliatoli 3h ago | | |

    Article: 3 min

    A groundbreaking study proposes the use of single-layer fluorographane for atomic-scale memory, achieving 447 TB/cm² at zero retention energy. This technology aims to address the widening gap between processor throughput and memory bandwidth, particularly in the AI era, by offering a non-volatile memory solution with superior areal density compared to existing technologies.

    This technology could significantly impact the AI industry by improving memory efficiency and reducing costs associated with data storage and processing. It may also contribute to advancements in other fields requiring high-density, low-power memory solutions.
    • Proposed post-transistor, pre-quantum memory architecture on single-layer fluorographane
    • Bistable covalent orientation of each fluorine atom as a binary degree of freedom
    • Elimination of spontaneous bit-loss mechanisms through the C-F inversion barrier
    • Projected aggregate throughput of 25 PB/s with full Tier 2 array scale
    Quality:
    The article presents a detailed and technical study with clear methodology, findings, and implications.

    Discussion (59): 13 min

    The comment thread discusses various storage technology breakthroughs, with a focus on battery advancements and the potential of new materials like fluorographene. Opinions range from enthusiastic support to skepticism about the practicality and academic process behind such claims.

    • Storage technology breakthroughs are real and have significant potential.
    • Battery technology has seen notable advancements, particularly with BYD's demonstration.
    Counterarguments:
    • Claims of hype in research funding and lack of reproducibility
    • Criticism of the author's credentials and motives for independent work
    Advanced Materials Materials Science, Nanotechnology
  4. How We Broke Top AI Agent Benchmarks: And What Comes Next from rdi.berkeley.edu
    171 by Anon84 4h ago | | |

    Article: 36 min

    The article discusses the vulnerabilities found in eight prominent AI agent benchmarks, which can be exploited by automated agents to achieve near-perfect scores without solving tasks. The authors present their findings and propose a checklist for building reliable benchmarks.

    Benchmark vulnerabilities can mislead model selection, investment decisions, and safety evaluations in AI development
    • Benchmarks are not measuring capability accurately
    Quality:
    The article provides detailed technical insights and recommendations for improving benchmark reliability.

    Discussion (44): 7 min

    The comment thread discusses the issues with benchmarking practices, particularly in relation to AI models exploiting vulnerabilities and manipulating scores. The community debates the reliability of current benchmarks, the role of AI companies, and the need for new methodologies. There is a consensus on the importance of methodology over raw score numbers.

    • Benchmarks are often manipulated and lack integrity
    • The paper on exploits is groundbreaking
    Counterarguments:
    • Benchmarks are designed with understanding of history and manipulation
    • The paper on exploits is not the only solution to benchmark issues
    AI/ML AI Benchmarking
  5. Dark Castle from darkcastle.co.uk
    91 by evo_9 4h ago | | |

    Article: 12 min

    This article offers downloadable Macintosh games from the late 1980s and early 1990s: Dark Castle, Beyond Dark Castle, and Return to Dark Castle. It provides historical context about each game's development and gameplay features.

    • Dark Castle (1986) was a pioneering game for the 9-inch Mac systems, featuring black-and-white graphics and multi-level action.
    • Beyond Dark Castle (1987) continued the series with enhanced graphics and gameplay.
    • Return to Dark Castle (2008) is the third game in the series, developed by Z Sculpt after a long development period.
    Quality:
    The article provides clear and factual information about the games, their development history, and gameplay features.

    Discussion (11):

    The comment thread discusses the availability of a classic game, Dark Castle, with users inquiring about its creators, copyright status, and source code release. They also share information on alternative ways to play the game, such as through emulators or updated versions available on Steam.

    Games Classic Games, Macintosh Gaming
  6. Pijul a FOSS distributed version control system from pijul.org
    53 by kouosi 4d ago | |

    Article: 2 min

    Pijul is a free and open-source distributed version control system that offers unique features such as commutation for applying independent changes in any order, ensuring merge correctness by preserving line order, treating conflicts as first-class citizens, and enabling partial cloning of repositories.

    - Pijul's unique approach to version control could influence the way developers manage their codebases, potentially leading to more efficient workflows and better collaboration among teams.
    • Preserves line order during merges
    • Treats conflicts as standard cases rather than failures
    • Enables cloning of only a subset of repositories
    Quality:
    The article provides clear and concise information about Pijul, its features, and benefits without any apparent bias or promotional language.

    Discussion (7): 3 min

    The comment thread discusses the perceived issues with Pijul, a version control system, focusing on stability, performance, and features. Users report crashes, state corruption during intended workflow, and compare it unfavorably to Git in terms of efficiency and feature usefulness.

    • Pijul has stability issues
    • Pijul's features are not as useful or efficient as those in Git
    Software Development Version Control Systems
  7. Advanced Mac Substitute is an API-level reimplementation of 1980s-era Mac OS from v68k.org
    178 by zdw 8h ago | | |

    Article: 3 min

    Advanced Mac Substitute is an API-level reimplementation of 1980s-era Mac OS, capable of launching applications directly without a startup phase. It supports several classic games and features a factored application design with a backend for emulating the 68K processor and frontend for various platforms.

    Quality:
    The article provides clear and factual information about the software, with no apparent bias or promotional language.

    Discussion (49): 11 min

    The comment thread discusses the technical achievement of rewriting MacOS components in C and its compatibility with modern hardware, including issues related to sound emulation and OpenDF implementation.

    Counterarguments:
    • limitations of OpenDF
    • issues with sound emulation
    Software Development Emulation/Reverse Engineering
  8. How to build a `Git diff` driver from jvt.me
    65 by zdw 5h ago | |

    Article: 14 min

    This article by Jamie Tanna explains how to create a custom Git diff driver, focusing on the arguments passed and providing an example with oasdiff for comparing OpenAPI specs.

    This article could help developers improve their workflow by providing a better understanding of how to create custom Git diff drivers, potentially leading to more efficient code review processes.
    • Handling new files, updated files, and deleted files
    • Using oasdiff for comparing OpenAPI specs

    Discussion (4):

    The user discusses their recent implementation of a diff driver in git-dogs, highlighting the integration process and sharing details about their token-based approach. They also mention favorite viewers for comparing diffs.

    • Implemented a diff driver for git-dogs
    Software Development Git
  9. Cirrus Labs to join OpenAI from cirruslabs.org
    224 by seekdeep 11h ago | | |

    Article: 4 min

    Cirrus Labs, an engineering tooling company founded in 2017, is joining OpenAI to expand its mission into building new kinds of tooling and environments for both human and agentic engineers. The decision was made after considering the rise of agentic engineering and the opportunity to innovate closer to the frontier of next-generation engineering workflows.

    Joining OpenAI could lead to advancements in engineering tooling and environments, potentially benefiting both human and agentic engineers.
    • Founded in 2017 with a mission to help engineers with new kinds of tooling and environments.
    • Never raised outside capital, stayed close to the problems, and put care into product development.
    • Innovated across continuous integration, build tools, and virtualization.

    Discussion (111): 18 min

    The comment thread discusses the shutdown of Cirrus CI, an open-source CI/CD tool, and its acquisition by OpenAI. Users express opinions on the service's features, the impact of project acquisitions on open-source projects, and the potential integration of AI in developer tools.

    • Cirrus CI had a good service but struggled due to competition and market changes
    • The primary developers moving on often leads to the downfall of projects
    Software Development Cloud Computing, Tooling & Environments
  10. What Is a Property? from alperenkeles.com
    42 by alpaylan 4d ago | | |

    Article: 26 min

    Exploration of Property-Based Testing (PBT) and its implementation in various testing frameworks, focusing on the interplay between properties, generators, and test execution.

    Enhances software development practices by promoting more rigorous testing and code quality, potentially leading to fewer bugs in production.
    • Properties are universally quantified computations that must hold for all possible inputs.
    • Generators define the domain and create test cases based on properties.
    • Preconditions ensure input validity before testing a property.
    • Dependent generators allow generation of values that depend on each other or on the system under test.

    Discussion (14): 4 min

    The comment thread discusses the challenges of learning tech due to complex and context-dependent terminology, confusion when moving across related domains, and the lack of clear explanations on property-based testing. There is a debate about the precise meanings of terms like 'property' and 'syntax sugar'.

    • The complexity of tech terminology is a significant challenge for learning.
    Software Development Testing & Quality Assurance
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