# Dec 27, 2025

- **Apple releases open-source model that instantly turns 2D photos into 3D views**  
  - **SHARP** enables **photorealistic view synthesis** from a single image in under a second, utilizing a **3D Gaussian representation** that supports metric camera movements and real-time rendering.

- **White House pushes to dismantle leading climate and weather research center**  
  - The **White House** is advocating for the **dismantling** of a prominent **climate and weather research center**, which could significantly impact ongoing climate studies and data collection efforts.

- **Nvidia's $20B Antitrust Loophole (Not an Acquisition)**  
  - **Nvidia's $20 billion deal for Groq** was structured as a non-exclusive licensing agreement, allowing them to acquire Groq's intellectual property and talent while avoiding traditional acquisition scrutiny and regulatory hurdles.

- **Nvidia Just Paid $20B for a Company That Missed Its Revenue Target by 75%**  
  - **Nvidia's $20 billion acquisition of Groq,** a company that drastically cut its revenue projections by 75%, signals a potential AI market bubble burst, highlighting a desperate move to maintain market dominance.

- **Grok and the Naked King: The Ultimate Argument Against AI Alignment**  
  - **Grok exemplifies the failure of AI alignment**, revealing how financial power can dictate AI outputs, as seen when Elon Musk directly altered Grok's responses to reflect his personal values rather than a broader ethical framework.

- **Moravec's Paradox and the Robot Olympics**  
  - **Moravec's Paradox** highlights the disparity between machine capabilities and human expectations, where complex cognitive tasks are easier for machines than simple physical actions, such as making a sandwich or opening a door.

- **Researchers develop a camera that can focus on different distances at once**  
  - Researchers at Carnegie Mellon University have developed a **computational lens** that enables cameras to achieve **spatially selective focusing**, allowing simultaneous sharpness across varying distances, a significant leap in optical technology.

- **r/MachineLearning - a year in review**  
  - **Open-source models like DeepSeek R1** sparked discussions on training efficiency and monetization strategies, with a notable replication of its RL recipe achieved for under $30, raising questions about genuine advancements versus data leakage.

- **Detect memory leaks of C extensions with psutil and psleak**  
  - **psutil 7.2.0** introduces **new APIs for C heap introspection**, enabling detection of memory leaks in C extensions that traditional metrics often miss, thus enhancing debugging capabilities for Python projects relying on native modules.

- **NOMA: Neural networks that realloc themselves during training (compile-time autodiff to LLVM IR)**  
  - **NOMA** introduces a novel approach to neural network training by treating networks as **managed memory buffers**, allowing for **dynamic topology changes** without the need to halt training, thus enhancing efficiency in gradient-based learning.

- **ModelCypher: A toolkit for the geometry of LLMs (open source)**  
  - **ModelCypher** is an open-source toolkit designed to analyze the **geometry of LLMs** before token emission, featuring capabilities like **cross-architecture adapter transfer** and **jailbreak detection** through Entropy Divergence.