# Jul 12, 2025

- **ETH Zurich and EPFL are set to release a fully open large language model (LLM) in late summer 2025**, developed on the “Alps” supercomputer, emphasizing transparency and multilingual capabilities across over **1,000 languages**.

- **Bad actors exploit LLM vulnerabilities** to disseminate propaganda, manipulating outputs through a process known as **LLM grooming**, which involves flooding models with false narratives to influence their responses.

- **Computer scientists have developed a method to exploit the Fiat-Shamir transformation, allowing them to prove false statements within blockchain and cryptographic systems, fundamentally challenging the security of these technologies.**

- **Kimi K2** is a **mixture-of-experts (MoE) language model** with **32 billion activated parameters** and **1 trillion total parameters**, optimized for advanced reasoning and coding tasks using the **Muon optimizer** for stability during training.

- **Differentiable Physics** offers a more reliable approach to simulations by combining traditional numerical methods with **autodiff**, addressing issues of reproducibility and weak baselines prevalent in the Scientific ML community.

- **Context engineering** redefines prompt engineering, emphasizing the **design and optimization** of instructions and context for LLMs to enhance task performance, particularly in complex AI workflows.

- **Watson**, developed through the **DeepQA project**, achieved human-level performance in real-time on the quiz show _Jeopardy!_, showcasing its advanced capabilities in precision, confidence, and speed.

- **Modeling non-Gaussian labels** requires specialized approaches, such as **density mixture networks** for bimodal distributions and **hurdle models** for zero-inflated data, to effectively capture the underlying patterns in sparse ratings.