Top AiNews.com Headlines

Hume’s Octave TTS Understands Context, Outperforms ElevenLabs

Hello AiNews Readers!

I wanted to let you know that there will be no newsletter this Wednesday, March 5, as I’ll be busy getting my taxes done (fun, right? 😅).

Additionally, there won’t be a newsletter next week from March 10-13 while I attend the HumanX Conference. But don’t worry—we’re still here in the meantime, and we’ll be back with more AI updates soon!

Alicia

Today’s Headlines:

  • Hume’s Octave TTS Understands Context, Outperforms ElevenLabs - Hume has introduced Octave, the first LLM for text-to-speech. Unlike conventional TTS systems that merely read text aloud, Octave is a speech-language model that understands context, emotion, and nuance—allowing it to generate lifelike voices with expressive intonation.




  • Inception Unveils Faster, Cheaper AI Model Using Diffusion Technology - Inception has emerged from stealth with Mercury, a diffusion-based large language model (DLM) designed for faster and more efficient AI processing. Mercury uses diffusion technology to improve text generation, achieving speeds up to 10x faster and costs 10x lower than traditional LLMs.



  • Meta to Launch Standalone AI App to Compete with ChatGPT - While Meta AI is accessible through the company’s apps and website, the upcoming standalone version is expected to offer a deeper user experience, potentially enhancing engagement and customization. The decision aligns with Zuckerberg’s broader vision to make Meta AI the leading digital assistant, reaching over a billion users.



  • Apple’s AI-Powered Siri Overhaul Could Be Delayed Until 2027 - Apple’s plan to modernize Siri with generative AI is facing setbacks, and the “true modernized, conversational version” of Siri might not be ready until 2027 with iOS 20.


  • DeepSeek Enhances AI Inference Efficiency and Cost Optimization - During Open-Source Week last week, DeepSeek unveiled a bonus feature—its optimized inference system for V3/R1 models, which leverages expert parallelism (EP) and load balancing to maximize efficiency.


  • Anthropic, U.S. National Labs Partner for AI-Driven Scientific Research - Anthropic is collaborating with the DOE and multiple National Laboratories to evaluate advanced AI models, including its newly launched Claude 3.7 Sonnet, in real-world scientific research and national security applications, in its first-ever 1,000 Scientist AI Jam.

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AI In Action: Quick Tutorials

In this section, you'll find short, practical tutorials that walk you through using the latest AI tools, helping you quickly unlock their full potential.

Today’s AI in Action: Auto-screen resumes with AI

In this tutorial, you’ll learn how to use AI tools to evaluate job applications by extracting key qualifications, identifying missing skills, and getting objective feedback.

Step-by-step:

  • Head over to your favorite AI assistant, e.g, ChatGPT, Claude, or Gemini.

  • Create a template prompt defining your job requirements and asking for a summary, match score, matched skills, and red flags.

  • Process each resume by adding its text below the template prompt and submitting it to the AI assistant.

  • Track results in a spreadsheet and use your AI to draft personalized follow-up emails for each candidate tier.

Pro tip: You can also add your own resume to the template to improve it based on the AI feedback.

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AI Tools:

Please note that AiNews.com does not endorse the following AI tools. We aim to share the tools we come across that you may find helpful in you work or daily lives.

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  • Gatsbi: Mimicking a TRIZ-like innovation workflow, Gatsbi AI co-scientist crafts tailored solutions for your research challenges and generates publication-ready paper manuscripts and patent disclosure documents effortlessly.

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