Why Open Source AI Could Be the Best Bet for Developers and Investors

Glenn Hubbard has raised concerns regarding the Federal Reserve's potential interest rate cuts, highlighting risks from tariffs, uncertain economic data, and a mature credit cycle as the Fed looks ahead to 2026. Additionally, discussions around the competition between open-source AI ecosystems and closed models are gaining traction, with insights from industry leaders like Lisa Su and Sam Palmisano.

Ukrainians have initiated lawsuits against major US chip manufacturers Intel, AMD, and Texas Instruments, alleging that these companies have contributed to the supply of chips used in Russian drones and missiles targeting Ukraine. This legal action highlights the ongoing conflict and the role of technology in warfare.

The 2025 Foundation Model Transparency Index reveals a significant decline in transparency among foundation model developers, with the average score dropping from 58 in 2024 to 40 in 2025. This index evaluates companies like Alibaba, DeepSeek, and xAI for the first time, highlighting their opacity regarding training data and model usage.

The emergence of sophisticated disinformation generated by multimodal large language models (MLLMs) has highlighted critical challenges in detecting and grounding multimedia manipulation. Current methods primarily focus on rule-based text manipulations, overlooking the nuanced risks posed by MLLM-crafted narratives that exploit manipulated visual contexts.