TikTok to give users power to reduce amount of AI content on their feeds

TikTok is introducing a new feature that allows users to control the amount of AI-generated content in their For You feed. This setting aims to enhance user experience by providing more customization options. Additionally, TikTok plans to implement advanced labeling technology to better identify AI-generated content, ensuring transparency for users. This move reflects the platform's ongoing efforts to adapt to user preferences and the growing influence of artificial intelligence in social media.

TikTok has announced a new feature that allows users to reduce the amount of AI-generated content appearing in their feeds. This update aims to enhance user experience by giving individuals more control over the type of content they engage with. The decision reflects TikTok's commitment to addressing user preferences and concerns regarding the increasing presence of AI in social media.

AfriSpeech-MultiBench is introduced as the first domain-specific evaluation suite designed for over 100 African English accents across more than 10 countries. This benchmark suite spans seven application domains, including Finance, Legal, Medical, General dialogue, Call Center, Named Entities, and Hallucination Robustness. It aims to address the lack of publicly available application-specific model evaluations that consider Africa's linguistic diversity. The suite benchmarks various ASR and LLM-based speech recognition systems using both spontaneous and non-spontaneous speech from open African…

This study evaluates the effectiveness of various large language models (LLMs) in restoring diacritics in Romanian texts, a crucial task for text processing in languages with rich diacritical marks. The models tested include OpenAI's GPT-3.5, GPT-4, Google's Gemini 1.0 Pro, and Meta's Llama family, among others. Results indicate that GPT-4o achieves high accuracy in diacritic restoration, outperforming a neutral baseline, while other models show variability. The findings emphasize the importance of model architecture, training data, and prompt design in enhancing natural language processing to…

This study evaluates OpenAI's o1-preview large language model, highlighting its performance across various complex reasoning tasks in fields such as computer science, mathematics, and medicine. The model achieved a success rate of 83.3% in competitive programming, excelled in generating radiology reports, and demonstrated 100% accuracy in high school-level math tasks. Its advanced natural language inference capabilities further underscore its potential in diverse applications.

Demis Hassabis, co-founder of DeepMind, discussed the advancements of Gemini 3, Google's latest AI model, emphasizing its capabilities in world modeling and fitting the entire Google Search index into the system. He addressed concerns about the AI bubble and highlighted the model's potential to enhance user interactions and provide more accurate information. Hassabis's insights reflect a commitment to pushing the boundaries of AI technology and its integration into everyday applications.

Andrew Ng, a prominent figure in AI at Google, emphasized the importance of learning to code during an interview at AI Dev 25 in New York. He discussed the future of developers, the significance of responsible AI, and expressed skepticism about the hype surrounding Artificial General Intelligence (AGI). Ng's insights reflect a broader conversation about the evolving role of technology and the skills needed in the AI landscape.

Antigravity IDE represents a new generation of AI-powered editors that transform the programming landscape. Unlike traditional tools like VS Code, Antigravity IDE is designed to understand developers' intentions and proactively assist in software creation. This innovative environment aims to elevate coding experiences by acting as an intelligent collaborator rather than a passive tool, marking a significant shift in how developers interact with their coding environments.