AI Edition - It's AI Time - 309 [18-02-2025]

AI Edition - It's AI Time - 309

Mistral Saba:

Mistral Saba is a 24B parameter model trained on meticulously curated datasets from across the Middle East and South Asia. The model provides more accurate and relevant responses than models that are over 5 times its size while being significantly faster and lower cost.

South Korea Bans DeepSeek:

South Korea has temporarily banned new downloads of China's DeepSeek AI chatbot due to data protection concerns. The app, which gained over a million users in a week, will remain unavailable until compliance improvements are made.

fal Raises $49M Series B to Power the Future of AI Video:

fal has secured $49M in Series B funding led by Notable Capital and joined by a16z and others, totaling $72M in funding to date. The company is focused on expanding its platform for AI-driven generative media, especially video content, catering to industries like advertising and gaming. fal's proprietary technology promises fast, scalable, and reliable deployments, which has already attracted enterprise clients such as Quora and Canva.

ChatGPT comes to 500,000 new users in OpenAI's largest AI education deal yet:

OpenAI is deploying ChatGPT to 460,000 students and 63,000 faculty at California State University for personalized tutoring and administrative tasks.

Tinder will try AI-powered matching as the dating app continues to lose users:

Tinder plans to counter declining user engagement by introducing AI-driven features for discovery and matching.

Google is adding digital watermarks to images edited with Magic Editor AI:

Google is introducing a digital watermark in Photos for images edited with generative AI using the Magic Editor's Reimagine feature on Pixel 9 devices.

US' First Major AI Copyright Ruling:

A U.S. judge ruled that Ross Intelligence infringed on Thomson Reuters' copyright by using Westlaw headnotes to train its AI. The decision may influence other AI-related copyright lawsuits but remains narrowly focused on non-generative AI applications.

Red Hat's take on open-source AI: Pragmatism over utopian dreams:

Red Hat emphasizes a pragmatic approach to open-source AI, focusing on practical enterprise needs rather than chasing AGI. Challenges include reconciling transparency with competitive realities, especially regarding open-source AI's opacity in training data and model weights. Red Hat aims to foster collaboration, avoiding vendor lock-in, while acknowledging the complexities of AI compared to traditional open-source software.

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