1. Apple Again Delays Siri's Major AI Overhaul
According to recent reports, Apple has once again postponed the significant revamp of its virtual assistant, Siri. This overhaul aimed to integrate advanced artificial intelligence capabilities, positioning Siri to compete with AI models like ChatGPT. The repeated delays suggest potential challenges in developing the next-generation AI features for the voice assistant.
Read full story2. Threads Introduces 'Dear Algo' Feature to Personalise Your Feed
Meta has rolled out a new feature called 'Dear Algo' on its social media platform, Threads. This innovative tool empowers users to directly engage with the platform's algorithm, allowing them to customise and fine-tune their feed preferences. Users can now provide direct feedback and instructions to the algorithm, aiming for a more personalised and relevant content experience.
Read full story3. ElevenLabs Introduces 'Expressive Mode' for Enhanced AI Voice Interactions
ElevenLabs has officially launched 'Expressive Mode,' a new feature designed to significantly improve the capabilities of their voice agents. This innovative mode enhances the emotional range and natural conversational flow in AI interactions, making voice agents sound more human-like and responsive. It aims to facilitate more fluid and engaging dialogues by allowing AI to better understand and convey sentiment, and to handle turn-taking more seamlessly, thus revolutionising how users interact with AI voice technology.
Read full story4. SurfSense Aims to Replace NotebookLM, Perplexity, and Glean
SurfSense is an innovative open-source tool designed to integrate information from diverse data sources. It allows users to ask questions and then generates audio content based on the consolidated information. This project seeks to offer a unified solution, potentially replacing existing tools like NotebookLM, Perplexity, and Glean by streamlining data aggregation and content creation.
Read full story5. Andrej Karpathy Develops New AI Technique for Codebase Extraction
Andrej Karpathy, a prominent AI researcher, has successfully developed a novel method that allows artificial intelligence to precisely identify and extract specific sections from extensive code repositories. This innovative "Repo Surgeon Trick" enables AI to efficiently navigate and isolate relevant parts within large codebases, potentially streamlining development and analysis processes.
Read full story6. Anthropic Releases Groundbreaking Sabotage Risk Report for Opus 4.6
Anthropic has unveiled its first-ever sabotage risk assessment specifically for a frontier AI model, Opus 4.6. This comprehensive report meticulously evaluates the potential autonomous research capabilities of the model, focusing on identifying and mitigating risks associated with deliberate or accidental misuse. The assessment aims to establish new benchmarks for AI safety and responsible development by anticipating possible scenarios where advanced AI systems could pose threats, ensuring preventive measures are in place.
Read full story7. Conor Grennan Reveals Overlooked AI Skill
Conor Grennan highlights a crucial aspect of Artificial Intelligence that many tend to overlook. He emphasises that focusing exclusively on the direct output generated by AI tools prevents individuals from grasping its comprehensive value and inherent potential. This perspective suggests a deeper understanding of AI’s capabilities beyond mere results is essential for truly leveraging its power.
Read full story8. DeepMind Unveils New Gemini Thinking Mode for Science and Maths
DeepMind has developed an innovative new thinking mode specifically for its Gemini AI model. This advanced mode is engineered to tackle complex mathematical and scientific challenges, aiming to accelerate discovery and problem-solving in these highly specialised fields. This development signifies a major step towards enhancing AI capabilities for intricate analytical tasks.
Read full story9. AI Uncovers Leopards Attacked Early Human Ancestors, Solves Ancient Mystery
Artificial Intelligence (AI) has successfully helped unravel an ancient mystery by analysing fossilised skulls of early human ancestors. The AI's detailed analysis revealed that leopards likely preyed on these early hominids, a finding that offers a significant breakthrough in understanding the threats faced by our ancestral lineage and explains previously perplexing bone damage.
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