neural networks

Winsage
January 5, 2026
Dave Plummer, the creator of the Windows Task Manager and Pinball game, has expressed concerns about Windows 11, criticizing Microsoft's focus on integrating new artificial intelligence features at the expense of system stability. He argues that stable releases should prioritize fixing critical bugs over adding new functionalities. Plummer references the period around Windows XP Service Pack 2, when Microsoft halted new feature introductions to enhance security and stability in response to major security threats. He advocates for a similar approach for Windows 11, urging Microsoft to pause feature additions until the system is stabilized and existing issues are resolved. Plummer emphasizes the need for Microsoft to focus on improving user experience by prioritizing fixes over new features, particularly for power users.
Tech Optimizer
October 4, 2025
Supabase has secured 0 million in late-stage funding, led by Accel and Peak XV, raising its valuation to billion. The company now has over 4 million developers using its platform, up from 2 million in April. Supabase offers a customized version of PostgreSQL with enhanced features for AI developers, including support for embeddings through the open-source tool pgvector. The platform also includes Edge Functions for serverless functions and has introduced a branching tool for database management. With the new funding, Supabase plans to develop an enterprise-scale version of its platform, Multigres, with assistance from Sugu Sougoumarane, co-creator of Vitess. The company will continue allowing employees to sell 25% of their vested stock during funding rounds and is accelerating hiring for open-source projects. Additionally, Supabase plans to raise another million for early customers and contributors to its open-source platform.
TrendTechie
September 8, 2025
Developers of the Claude chatbot have proposed a settlement of [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: In a significant development within the realm of artificial intelligence and copyright law, developers of the Claude chatbot have proposed a settlement of .5 billion to compensate journalists and authors whose works were allegedly used without permission during the training of their neural networks. This proposal, which aims to resolve ongoing legal disputes regarding the legality of utilizing pirated books for AI training, has been detailed on specialized platforms and awaits approval from a California judge. Background on Claude and the Legal Challenge Claude, an AI chatbot developed by Anthropic, is currently operating on its fourth version, Sonnet 4. The model claims to possess capabilities in “reasoning, analysis, creative writing, programming, and solving complex problems across a wide range of fields.” Notably, it emphasizes its “constitutional AI training,” designed to ensure ethical and constructive discussions on virtually any topic. While Claude shares similarities with other AI projects like OpenAI's ChatGPT and Google's Gemini, it operates on a subscription model, attracting approximately 16 to 18 million users monthly. The legal action was initiated last year by journalists Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson, who filed a class-action lawsuit on behalf of all authors whose texts may have been copied during the AI's training process. They allege that Anthropic built a multi-billion dollar enterprise by “stealing hundreds of thousands of copyrighted books.” The lawsuit claims that the company downloaded pirated versions of works, including those of the plaintiffs, and subsequently trained its models on this content. Specifically, the complaint indicates that the neural networks analyzed texts from free torrent libraries such as Books3 and The Pile. Claims of Copyright Infringement The plaintiffs assert that Anthropic's actions constitute a violation of their copyright rights under 17 USC § 501. They are seeking compensatory damages, restitution, the return of unlawfully obtained property, attorney fees, and any other appropriate remedies. Furthermore, they are requesting a court order to prohibit Anthropic from engaging in “infringing conduct,” effectively seeking a ban on training neural networks with pirated content. A ruling in this case could set a precedent for future litigation against other developers in the AI sector. The case is being presided over by Senior U.S. District Judge William Alsup in the Northern District of California. Recently, Anthropic submitted a proposal for a pre-trial settlement, avoiding the issue of admitting liability for copyright infringement and instead focusing on a financial resolution. The company has committed to establishing a non-repayable Settlement Fund of “no less than .5 billion,” from which payments will be made based on specific claims submitted by authors within 120 days of the fund's establishment. Additionally, Anthropic has pledged to remove texts from pirated libraries from its databases. In exchange for these concessions, the plaintiffs would need to waive their claims, although they retain the right to pursue further legal action should it be discovered that the developers have once again downloaded books from torrent sites. This proposal is pending approval from Judge Alsup." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].5 billion to compensate journalists and authors whose works were allegedly used without permission during the training of their neural networks. This proposal aims to resolve legal disputes regarding the use of pirated books for AI training and is awaiting approval from a California judge. The legal action was initiated by journalists who filed a class-action lawsuit against Anthropic, alleging copyright infringement under 17 USC § 501. They claim that Anthropic built a multi-billion dollar enterprise by using pirated texts for training its models. The plaintiffs are seeking compensatory damages, restitution, and a court order to prohibit Anthropic from infringing conduct. Anthropic's settlement proposal includes establishing a non-repayable Settlement Fund of at least [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: In a significant development within the realm of artificial intelligence and copyright law, developers of the Claude chatbot have proposed a settlement of .5 billion to compensate journalists and authors whose works were allegedly used without permission during the training of their neural networks. This proposal, which aims to resolve ongoing legal disputes regarding the legality of utilizing pirated books for AI training, has been detailed on specialized platforms and awaits approval from a California judge. Background on Claude and the Legal Challenge Claude, an AI chatbot developed by Anthropic, is currently operating on its fourth version, Sonnet 4. The model claims to possess capabilities in “reasoning, analysis, creative writing, programming, and solving complex problems across a wide range of fields.” Notably, it emphasizes its “constitutional AI training,” designed to ensure ethical and constructive discussions on virtually any topic. While Claude shares similarities with other AI projects like OpenAI's ChatGPT and Google's Gemini, it operates on a subscription model, attracting approximately 16 to 18 million users monthly. The legal action was initiated last year by journalists Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson, who filed a class-action lawsuit on behalf of all authors whose texts may have been copied during the AI's training process. They allege that Anthropic built a multi-billion dollar enterprise by “stealing hundreds of thousands of copyrighted books.” The lawsuit claims that the company downloaded pirated versions of works, including those of the plaintiffs, and subsequently trained its models on this content. Specifically, the complaint indicates that the neural networks analyzed texts from free torrent libraries such as Books3 and The Pile. Claims of Copyright Infringement The plaintiffs assert that Anthropic's actions constitute a violation of their copyright rights under 17 USC § 501. They are seeking compensatory damages, restitution, the return of unlawfully obtained property, attorney fees, and any other appropriate remedies. Furthermore, they are requesting a court order to prohibit Anthropic from engaging in “infringing conduct,” effectively seeking a ban on training neural networks with pirated content. A ruling in this case could set a precedent for future litigation against other developers in the AI sector. The case is being presided over by Senior U.S. District Judge William Alsup in the Northern District of California. Recently, Anthropic submitted a proposal for a pre-trial settlement, avoiding the issue of admitting liability for copyright infringement and instead focusing on a financial resolution. The company has committed to establishing a non-repayable Settlement Fund of “no less than .5 billion,” from which payments will be made based on specific claims submitted by authors within 120 days of the fund's establishment. Additionally, Anthropic has pledged to remove texts from pirated libraries from its databases. In exchange for these concessions, the plaintiffs would need to waive their claims, although they retain the right to pursue further legal action should it be discovered that the developers have once again downloaded books from torrent sites. This proposal is pending approval from Judge Alsup." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].5 billion and removing texts from pirated libraries from its databases, with the plaintiffs needing to waive their claims in exchange. The case is presided over by Senior U.S. District Judge William Alsup.
AppWizard
September 3, 2025
Minecraft AI involves the integration of artificial intelligence algorithms, bots, and machine learning models within the Minecraft universe, enabling intelligent systems to learn from player interactions and perform tasks autonomously. AI manifests in the game through the behavior of mobs and AI-powered bots that can mine resources, construct structures, and collaborate with players. In education, Microsoft has introduced Minecraft: Education Edition, utilizing AI to teach coding and problem-solving. Benefits of AI in Minecraft include enhanced gameplay, automation of tasks, learning opportunities, a platform for AI research, and collaborative play. Challenges include the complexity of programming AI to navigate the game's open-ended nature and concerns about AI overshadowing traditional gameplay. The future of Minecraft AI looks promising with advancements in machine learning, potential for personalized AI companions, and immersive experiences through VR and AR technologies.
Winsage
August 6, 2025
Microsoft envisions a future for Windows by 2030 where devices will have sensory capabilities, allowing them to see, hear, and engage in conversation. This shift towards "agentic" AI aims to transform the operating system into a proactive assistant that anticipates user needs. Recent advancements, such as Copilot Vision in Windows 11, exemplify this evolution by enabling real-time analysis of on-screen content. The integration of AI features, including Bing Chat, positions Windows 11 as the first operating system with a centralized AI assistant. Sensory AI will facilitate devices interpreting visual and auditory inputs, offering proactive suggestions based on user context. Microsoft is addressing privacy concerns through responsible AI frameworks while promoting a hybrid model where AI augments human capabilities. This evolution could redefine industries, with potential applications in healthcare and creative sectors.
AppWizard
March 18, 2025
Nvidia has released a complimentary two-hour demo of Half-Life 2 RTX for owners of the original Half-Life 2, showcasing advanced features such as full path tracing and neural shaders. The game includes enhancements like improved meshes, materials, lighting, and the Neural Radiance Cache, which optimizes ray-traced indirect light. The demo demonstrates significant upgrades in asset quality and shadow rendering, but the game is resource-intensive, requiring DLSS for playable performance, particularly at 4K resolution. The demo evokes the original game's atmosphere and is seen as a significant step in Nvidia's remastering efforts. There is currently no release date for the full version, but the demo is available for free on Steam.
AppWizard
November 11, 2024
Oasis is a pioneering playable AI video game that responds to complex user inputs in real-time, with its code available on GitHub for a scaled-down local version. It emphasizes support for intricate interactions, distinguishing itself from previous projects like AI-generated DOOM. The game operates using image generators that predict subsequent actions based on user input and recent events, creating an interactive experience. However, it has notable limitations, such as decreased coherence in stationary or monotonous environments. Oasis may primarily serve as a concept demonstration rather than a fully functional game.
AppWizard
November 1, 2024
Decart has unveiled Oasis, which it claims to be "the world's first real-time AI world model." The company envisions a future where foundation models integrate with entertainment platforms to generate content in real time based on user preferences. Current demonstrations of Oasis resemble a prototype version of Minecraft, lacking the polish of the original game. The technology was developed using Nvidia H100 graphics cards but struggles to perform at 360p and 20 frames per second. Future iterations may utilize Etched ASICs for improved performance up to 4K resolution. Additionally, AI-powered Frame Generation could enhance gaming performance on standard hardware. The author attempted to access the Oasis platform but was unable to load the site.
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