TweakedGeek

  • Enhancing Thinking Level Control on iOS App


    Let us control thinking level on the iOS app like we can on webUsers of the ChatGPT iOS app are expressing frustration over the lack of a feature that allows them to control the model's thinking level, a functionality available on the web version. On the website, users can select from various thinking levels such as Light, Standard, Extended, and Heavy, enabling them to tailor the response time and depth based on their needs. However, the iOS app does not offer this flexibility, leaving users with limited options and often leading to longer wait times or less precise responses. Implementing a similar thinking-level selector on the iOS app would enhance user experience by providing more control and efficiency, especially for those on the Plus tier who wish to access lighter thinking modes. This matters because it highlights the need for consistent features across platforms to ensure all users can optimize their interaction with AI models according to their specific requirements.

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  • Asus ROG Flow Z13 x Kojima Productions Tablet


    This limited-edition tablet is the closest you can get to using Hideo Kojima’s computerAsus has unveiled a limited-edition version of its ROG Flow Z13 gaming tablet in collaboration with Kojima Productions, featuring a striking design by Yoji Shinkawa. The tablet boasts a two-tone metallic gold and black color scheme, a carbon fiber rear panel, and angular geometric lines inspired by the Death Stranding games and Kojima Productions' mascot, Ludens. It includes unique military tech-style warnings and mottos, and comes with a white attache hard case, with additional accessories available separately. The ROG Flow Z13-KJP is set to launch in mid-to-late Q1 2026, with pricing details to be announced closer to its release. This collaboration highlights the intersection of gaming and design, offering fans a piece of functional art inspired by a renowned game designer.

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  • Asus ROG Zephyrus Duo: True Dual Screens for Gaming


    Asus finally gives its ROG Zephyrus Duo gaming laptop the true dual screens it deservesThe Asus ROG Zephyrus Duo gaming laptop has been updated for CES 2026 with true dual edge-to-edge screens, featuring two full-size 16-inch 3K 120Hz OLED HDR displays. This new model offers a detachable keyboard and trackpad, allowing versatile configurations such as tent mode and side-by-side dual-screen positions. Powered by Intel Panther Lake and Nvidia RTX 50-series GPUs, the laptop is designed for both gaming and productivity. The ROG Zephyrus G14 and G16 models are also refreshed with Intel Panther Lake chips, improved LED lid lighting, and enhanced cooling for better performance. These updates make the Zephyrus series even more appealing for multitasking and gaming enthusiasts. This matters because it highlights the evolution of gaming laptops towards more versatile and powerful setups, catering to both gamers and professionals who require high-performance multitasking capabilities.

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  • Nvidia’s Vera Rubin Chips Enter Full Production


    Jensen Huang Says Nvidia’s New Vera Rubin Chips Are in ‘Full Production’Nvidia's CEO Jensen Huang announced that the company's next-generation AI superchip platform, Vera Rubin, has entered full production and is set to start reaching customers later this year. This development was revealed during a press event at the CES technology trade show in Las Vegas. The introduction of Vera Rubin is expected to enhance AI computational capabilities, marking a significant advancement in Nvidia's chip technology. This matters because it signifies a leap forward in AI processing power, potentially accelerating innovation across various industries reliant on AI technologies.

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  • NVIDIA Jetson T4000: AI for Edge and Robotics


    Accelerate AI Inference for Edge and Robotics with NVIDIA Jetson T4000 and NVIDIA JetPack 7.1NVIDIA's introduction of the Jetson T4000 module, paired with JetPack 7.1, marks a significant advancement in AI capabilities for edge and robotics applications. The T4000 offers high-performance AI compute with up to 1200 FP4 TFLOPs and 64 GB of memory, optimized for energy efficiency and scalability. It features real-time 4K video encoding and decoding, making it ideal for applications ranging from autonomous robots to industrial automation. The JetPack 7.1 software stack enhances AI and video codec capabilities, supporting efficient inference of large language models and vision-language models at the edge. This development allows for more intelligent, efficient, and scalable AI solutions in edge computing environments, crucial for the evolution of autonomous systems and smart infrastructure.

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  • Enhanced LLM Council with Modern UI & Multi-AI Support


    I forked Andrej Karpathy's LLM Council and added a Modern UI & Settings Page, multi-AI API support, web search providers, and Ollama supportAn enthusiast has enhanced Andrej Karpathy's LLM Council Open Source Project by adding several new features to improve usability and flexibility. The improvements include web search integration with providers like DuckDuckGo and Jina AI, a modern user interface with a settings page, and support for multiple AI APIs such as OpenAI and Google. Users can now customize system prompts, control council size, and compare up to eight models simultaneously, with options for peer rating and deliberation processes. These updates make the project more versatile and user-friendly, enabling a broader range of applications and model comparisons. Why this matters: Enhancements to open-source AI projects like LLM Council increase accessibility and functionality, allowing more users to leverage advanced AI tools for diverse applications.

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  • Semantic Compression: Solving Memory Bottlenecks


    Memory, not compute, is becoming the real bottleneck in embedding-heavy systems. A CPU-only semantic compression approach (585×) with no retrainingIn systems where embedding numbers grow rapidly due to new data inputs, memory rather than computational power is becoming the primary limitation. A novel approach has been developed to compress and reorganize embedding spaces without retraining, achieving up to a 585× reduction in size while maintaining semantic integrity. This method operates on a CPU without GPUs and shows no measurable semantic loss on standard benchmarks. The open-source semantic optimizer offers a potential solution for those facing memory constraints in real-world applications, challenging traditional views on compression and continual learning. This matters because it addresses a critical bottleneck in data-heavy systems, potentially transforming how we manage and utilize large-scale embeddings in AI applications.

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  • AI Models Tested: Building Tetris


    I Asked ChatGPT, Claude and DeepSeek to Build TetrisIn a practical test to evaluate AI models' capabilities in building a Tetris game, Claude Opus 4.5 from Anthropic delivered a smooth, playable game on the first attempt, showcasing its efficiency and user-friendly experience. GPT-5.2 Pro from OpenAI, despite its high cost and extended reasoning capabilities, produced a bug-ridden game initially, requiring additional prompts to fix issues, yet still offering a less satisfying user experience. DeepSeek V3.2, while the most cost-effective option, failed to deliver a playable game on the first try but remains a viable choice for developers on a budget willing to invest time in debugging. This comparison highlights Opus 4.5 as the most reliable for day-to-day coding tasks, while DeepSeek offers budget-friendly solutions with some effort, and GPT-5.2 Pro is better suited for complex reasoning tasks rather than simple coding projects. This matters because it helps developers choose the right AI model for their needs, balancing cost, efficiency, and user experience.

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  • Social Neural Networks: Beyond Binary Frameworks


    Critical AI (2)The concept of a Social Neural Network (SNN) contrasts sharply with traditional binary frameworks by operating through gradations rather than rigid conditions. Unlike classical functions that rely on predefined "if-then" rules, SNNs exhibit emergence, allowing for complex, unpredictable interactions, such as the mixed state of "irritated longing" when different stimuli converge. SNNs also demonstrate adaptability through plasticity, as they learn and adjust based on experiences, unlike static functions that require manual updates. Furthermore, SNNs provide a layer of interoception, translating hardware data into subjective experiences, enabling more authentic and dynamic responses. This matters because it highlights the potential for AI to emulate human-like adaptability and emotional depth, offering more nuanced and responsive interactions.

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  • EchoChamber: AI Reactions for SillyTavern Stories


    [Release] EchoChamber - Add AI-Generated Audience Reactions to Your SillyTavern Stories & ConversationsEchoChamber is an innovative extension that enhances SillyTavern stories and conversations by generating AI-powered audience reactions in real-time. It simulates a live audience experience with various chat styles, such as Discord/Twitch chat, Twitter threads, and Mystery Science Theater 3000 commentary, among others. Users can customize their experience by choosing from different personas, including NSFW avatars, and can easily toggle settings to adjust the virtual audience. This extension offers a flexible and immersive way to engage with stories, providing dynamic feedback and commentary that enriches the storytelling experience. Why this matters: EchoChamber adds a new dimension to storytelling by allowing users to experience their narratives with interactive and diverse audience reactions, enhancing engagement and creativity.

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