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2026/05/19

  1. I’ve joined Anthropic from twitter.com
    1388 by dmarcos 1d ago | | |

    Discussion (595): 1 hr 24 min

    The comment thread discusses Andrej Karpathy's move to join Anthropic and his potential impact on AI research. Opinions range from seeing him as a valuable addition due to his expertise and influence, to skepticism about whether he will primarily serve as a marketing figurehead rather than contributing significantly to research. There is also concern over the power dynamics within the AI industry, particularly regarding large companies like Anthropic accumulating too much influence.

    • Karpathy's expertise and influence in AI make him a valuable addition to Anthropic.
    • There is uncertainty about the extent of his impact on research at Anthropic.
    • His move might be more about financial gain than commitment to research.
    Counterarguments:
    • His role at Anthropic might be more focused on marketing rather than research.
    • The financial benefits he receives from joining may overshadow his commitment to long-term research goals.
  2. Gemini 3.5 Flash from blog.google
    920 by spectraldrift 1d ago | | |

    Article: 11 min

    Google introduces Gemini 3.5, a new family of AI models designed for enhanced intelligence and action capabilities in agents and coding tasks. The release includes the first model, 3.5 Flash, which offers superior performance on complex benchmarks and excels at long-horizon tasks.

    The introduction of Gemini 3.5 could lead to increased automation and efficiency in various industries, potentially reducing the need for human labor in certain tasks. However, it may also raise concerns about job displacement and privacy.
    • Gemini 3.5 represents a major leap in building capable, intelligent agents.
    • Available globally through various platforms including Gemini app, Google Search AI Mode, Google Antigravity, and Android Studio.

    Discussion (626): 1 hr 42 min

    The discussion revolves around the introduction of Gemini 3.5 Flash, a faster AI model from Google, which is compared to other leading models like Claude Sonnet and DeepSeek V4 in terms of performance and pricing. Users express concerns about the price increase for Gemini 3.5 Flash, noting that it makes the model less competitive against its competitors. There are also discussions on the model's performance issues such as tool use and knowledge cutoffs, with some users finding the output to be more human-like compared to previous models.

    • Gemini 3.5 Flash is a faster model with similar intelligence to Gemini Pro
    Counterarguments:
    • The price increase for Gemini 3.5 Flash makes it less attractive compared to its competitors in terms of cost-effectiveness.
    Artificial Intelligence AI Models, Agent Development, AI Applications
  3. I’ve built a virtual museum with nearly every operating system you can think of from virtualosmuseum.org
    913 by andreww591 1d ago | | |

    Article: 14 min

    The article describes an extensive virtual museum featuring nearly every operating system from stored-program computing's inception in 1948 up until the present day. The collection is accessible through a custom launcher and includes pre-installed systems, snapshots for easy restoration, and hypervisor installers for Windows, macOS, and Linux users.

    The virtual museum offers a unique resource for education and research in the history of computing, potentially inspiring new developments in software preservation and virtualization technologies.
    • Over 1700 installations
    • 250+ platforms covered
    • 570+ distinct operating systems included

    Discussion (201): 29 min

    The comment thread discusses an impressive collection of various operating systems, with users expressing admiration for the scale and variety of included software. There is a consensus on the need for additional features such as search functionality or color scheme changes. The community shows moderate agreement and low debate intensity regarding the project's value.

    • The project is an impressive effort and offering.
    • It would be great if there was a list of OSes in the collection.
    Software Development , Virtualization, Historical Computing
  4. The last six months in LLMs in five minutes from simonwillison.net
    767 by yakkomajuri 1d ago | | |

    Article: 11 min

    The article provides an overview of advancements in Large Language Models (LLMs) over the last six months, focusing on changes in model rankings, improvements in coding capabilities, and the emergence of personal AI assistants known as 'Claws'. It also highlights notable projects like micro-javascript and OpenClaw, and mentions new models such as Gemma 4 and GLM-5.1.

    LLMs are increasingly becoming more capable, potentially leading to greater automation in various industries, which could impact employment and skill requirements. Personal AI assistants may also raise privacy concerns as they become more integrated into daily life.
    • November 2025 inflection point for coding
    • Coding agents' quality barrier crossed
    • First commit to 'Warelay' project
    • Micro-javascript implementation of JavaScript in Python
    • OpenClaw as a personal AI assistant
    Quality:
    The article provides a detailed and balanced overview of LLM advancements without sensationalizing the information.

    Discussion (578): 2 hr 58 min

    The comment thread discusses the advancements and implications of AI models across various industries. Key points include notable improvements in tasks like SVG generation, code snippet creation, game simulation, and vulnerability research. The integration of AI into workflows is highlighted, with tools like Copilot being adopted by non-technical professionals for productivity gains. Ethical considerations, limitations, and the evolving landscape of AI tools are also discussed.

    • AI models have improved significantly over the past year, especially in areas like code generation and vulnerability research.
    • There's a growing consensus that AI models are becoming more capable of handling complex tasks, but they still have limitations.
    • The use of AI in various industries is evolving rapidly, with some embracing it enthusiastically while others remain skeptical or cautious.
    • The role of human oversight and intervention remains crucial when using AI tools for critical tasks like software development and security analysis.
    Counterarguments:
    • Despite advancements, AI still struggles with tasks requiring deep understanding or creativity, such as generating high-quality images or writing detailed documentation.
    • The reliance on AI for critical decision-making can lead to over-reliance and potential oversights in areas like software development and security analysis.
    • There's a growing concern about the ethical implications of AI, including issues related to job displacement, data privacy, and the potential misuse of AI-generated content.
    Artificial Intelligence Machine Learning
  5. Minnesota becomes first state to ban prediction markets from npr.org
    751 by ortusdux 22h ago | | |

    Article: 10 min

    The state of Minnesota has enacted the nation's first law banning prediction market sites, leading to a legal battle with the Trump administration over the regulation of popular services like Kalshi and Polymarket. The new state law makes it illegal for these platforms to operate in Minnesota, potentially forcing them out or facing felony charges.

    • The Trump administration has sued in response, challenging the state's authority over these platforms.
    • Prediction markets allow users to bet on future outcomes of various events.
    Quality:
    The article presents factual information without expressing personal opinions.

    Discussion (230): 41 min

    The comment thread discusses the legality and potential regulation of prediction markets, comparing them to traditional sports betting in terms of risks and benefits. There is a debate on whether prediction markets should be regulated or banned due to concerns about insider trading, manipulation, and their potential impact on society. The discussion also touches on the argument that prediction markets can provide useful economic information.

    Counterarguments:
    • Prediction markets are a form of gambling and should be regulated or banned.
    • There are legitimate uses for prediction markets that benefit society.
    Legal Regulation & Legislation, Technology Law
  6. Apple unveils new accessibility features from apple.com
    708 by interpol_p 1d ago | | |

    Article: 37 min

    Apple has introduced a suite of new accessibility features and updates powered by Apple Intelligence, including enhanced VoiceOver, Magnifier, Voice Control, Accessibility Reader, on-device generated subtitles for uncaptioned video content, and a power wheelchair control feature for Apple Vision Pro. These advancements aim to improve the user experience for individuals with disabilities across various devices.

    Positive impact on accessibility for individuals with disabilities, promoting inclusivity in technology use.
    • Apple Intelligence powers new capabilities in accessibility features.
    • Control of compatible power wheelchairs with Apple Vision Pro using eye tracking.
    • Hikawa Grip & Stand for iPhone now available in vibrant new colors.
    Quality:
    The press release provides detailed information on the new features and their benefits, maintaining a neutral tone.

    Discussion (374): 1 hr 7 min

    The comment thread discusses various accessibility features announced by Apple, with a mix of positive and critical opinions. Users appreciate improvements in technology for people with disabilities but also raise concerns about marketing practices, pricing models, and the form factor of some devices. There is debate around the perceived self-praise from Apple's announcements and the effectiveness of AI features without adequate user testing.

    • Accessibility features are seen as a positive step forward for technology.
    • There is criticism regarding the marketing approach and perceived self-praise of Apple's efforts.
    Counterarguments:
    • There's a concern about the pricing model for some AI-related features, with users preferring more affordable options.
    • The hardware form factor is criticized as being unappealing or impractical for real-world usage.
    Accessibility Software & Apps, Assistive Technology
  7. Google changes its search box from blog.google
    649 by berkeleyjunk 23h ago | | |

    Article: 11 min

    Google has introduced significant updates to its AI-powered search engine, including the new Gemini 3.5 Flash model and an enhanced Search box that integrates AI tools for better question formulation and multimodal searching.

    • Gemini 3.5 Flash as the new default AI model for global users
    • Upgraded Search box with AI tools for intuitive question formulation and multimodal searching
    • Introduction of information agents for personalized updates on specific topics
    • Agentic booking capabilities in Search expanding to local experiences, services, home repair, beauty, and pet care
    • Custom dashboards or trackers for ongoing tasks like wedding planning or home moves

    Discussion (885): 2 hr 22 min

    The comment thread discusses concerns and opinions regarding Google's integration of AI into its search engine, with users expressing dissatisfaction over perceived declines in search result quality and relevance. There is a sense of nostalgia for the original Google experience, and many are considering or have already switched to alternative search engines due to these changes.

    • Google's AI integration is seen as a response to the popularity of AI-powered conversational interfaces.
    Counterarguments:
    • Google's AI integration may improve the relevance and quality of search results for certain queries.
    • Users are considering or have already switched to alternative search engines due to dissatisfaction with Google's changes.
    Internet Search Engines, Artificial Intelligence
  8. Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks from github.com/antoinezambelli
    621 by zambelli 1d ago | | |

    Article: 16 min

    Forge is a reliability layer for self-hosted Large Language Model (LLM) tool-calling, designed to enhance the performance of an 8B model on agentic tasks. It achieves this through guardrails and context management features, offering three ways to use it: WorkflowRunner, SlotWorker, and Guardrails middleware. Forge supports various backends including llama-server, Ollama, Llamafile, and Anthropic, with a focus on improving the reliability of multi-step workflows.

    Forge's reliability layer can significantly enhance the performance of self-hosted LLM tool-calling, potentially leading to more robust and efficient AI systems in various industries such as finance, healthcare, and education.
    • Improves performance of 8B local models on complex tasks
    • Offers WorkflowRunner, SlotWorker, and Guardrails middleware for different use cases
    • Focuses on enhancing reliability in multi-step workflows

    Discussion (225): 51 min

    Forge is an innovative open-source tool designed to enhance the reliability of local large language models in various workflows, particularly for small models that struggle with reliability and efficiency when performing multi-step tasks. It achieves this through domain-agnostic nudges, retry mechanisms, step enforcement, error recovery, and VRAM-aware context management, improving completion rates, reducing error recovery time, and enhancing performance on long-running agentic coding tasks.

    • Forge improves reliability in local LLM workflows
    • It addresses a critical issue with small models
    • The nudging mechanism is an effective solution
    Software Development AI/ML
  9. Show HN: Gaussian Splat of a Strawberry from superspl.at
    513 by danybittel 1d ago | | |

    Article:

    This article discusses the creation of a high-resolution Gaussian splat image of a strawberry from 90 different perspectives using advanced photography techniques and equipment, including a Nikon Z8 camera, Laowa 180mm macro lens, LED light, and bluescreen. The resulting images were focus stacked to create a detailed 3D effect. The work is available for download under the CC BY license with an optional attribution request.

    • Focus stacking for 3D effect
    • LED light and bluescreen setup
    Quality:
    The article provides clear and factual information about the photography process, with a slight promotional note for Patreon.

    Discussion (194): 27 min

    The comment thread discusses the creation and application of Gaussian splatting, a technique used in computer graphics for creating detailed visual representations. Participants share their opinions on its complexity, potential uses, and ongoing developments in the field.

    • Gaussian splatting is a complex process that requires many photos from different angles to create detailed results.
    • Gaussian splats have potential applications in various fields, such as sim racing and virtual reality.
    Art Photography, Digital Arts
  10. Tesla's lithium refinery discharges 231,000 gallons of polluted wastewater a day from autonocion.com
    480 by atombender 22h ago | | |

    Article: 18 min

    Tesla's lithium refinery in Texas has been discharging 231,000 gallons of black wastewater per day into a ditch, which was not disclosed by Tesla or state regulators. The discharge was found to contain heavy metals like hexavalent chromium and arsenic, as well as elevated levels of lithium, vanadium, manganese, iron, phosphorus, calcium, magnesium, and potassium. These substances were not tested for during the initial investigation by Texas Commission on Environmental Quality (TCEQ). Tesla disputes the framing but acknowledges compliance with their state-issued wastewater discharge permit.

    Tesla's environmental practices may affect public perception of the company and its role in the electric vehicle industry, potentially influencing consumer choices and regulatory policies.
    Quality:
    The article presents factual information without a clear bias.

    Discussion (240): 55 min

    The comment thread discusses findings from testing water at a Tesla lithium refinery, focusing on pollutants like hexavalent chromium, arsenic, strontium, and others. Opinions vary on whether the levels detected are within legal limits or if there should have been more transparency in permitting processes. The debate also touches on potential sources of contamination beyond the facility itself.

    • Tesla needs permission to use property for wastewater conveyance
    • Permit should have been discussed publicly
    Counterarguments:
    • There may be other sources contributing to pollution
    • Permits are typically reviewed for compliance with industry standards
    Environment Pollution, Energy
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