ElevenLabs launches ultra-realistic Eleven v3 voice AI

PLUS: AI foot scanner predicts heart failure, Volvo's AI seatbelt & Reddit sues Anthropic

In today’s agenda:

1️⃣ ElevenLabs launches ultra-realistic Eleven v3 voice AI

2️⃣ Cambridge startup's AI foot scanner predicts heart failure weeks in advance

3️⃣ Volvo introduces AI-powered seatbelt technology for personalized protection

Plus, some interesting news:

  • X updates terms to ban AI model training on its content

  • Reddit sues Anthropic over data scraping despite blocking assurances

MAIN AI UPDATES / 7th June 2025

🗣️ ElevenLabs v3 creates human-like AI speech 🗣️
Most expressive text-to-speech model ever

ElevenLabs has released Eleven v3 (alpha), a groundbreaking text-to-speech model that many users describe as "almost indistinguishable from real speech." The new model dramatically improves both naturalness and emotional expressiveness, addressing previous weaknesses in sustained emotional delivery and long-form coherence. Supporting over 70 languages and featuring enhanced prosody, breath control, and nuanced intonation, v3 represents a significant leap in voice AI technology. The model is particularly well-suited for applications like audiobook narration and video game voice acting, potentially disrupting voice-dependent industries.

🦶 AI foot scanner predicts heart failure 🦶
Detects symptoms up to 13 days before emergency

Cambridge startup Heartfelt Technologies has developed an AI-powered wall-mounted scanner that monitors ankle swelling to accurately predict heart failure up to 13 days before patients need emergency care. The device captures 1,800 images per minute of patients' feet and ankles, using AI to measure fluid accumulation that signals worsening heart conditions. In trials across five NHS trusts with 26 patients, the system predicted five out of six hospitalizations with an average early warning time of 13 days. The scanner operates automatically without requiring patient interaction, and over 80% of trial participants chose to keep it after the study ended.

🚗 Volvo introduces AI-powered seatbelt 🚗
Customizing protection based on passenger data

Volvo is introducing a new AI-powered seatbelt system that customizes protection based on a passenger's size, seating position, and real-time vehicle dynamics. The intelligent restraint system uses sensors and AI algorithms to adjust tension and positioning, providing personalized safety measures that adapt to both the individual and driving conditions. This innovation represents a significant advancement in vehicle safety technology, moving beyond one-size-fits-all approaches to create responsive safety systems that can potentially reduce injuries in various collision scenarios.

INTERESTING NEWS

🐦 X bans AI training on its content 🐦

X has updated its developer terms to prohibit the use of its content or API for AI model training, aiming to shield the social media network's data from potential competitors, particularly xAI rivals. This move represents a significant shift in how platforms are approaching their data assets in the age of AI, recognizing the value of proprietary content for training large language models. The policy change could potentially impact researchers and developers who have previously used Twitter/X data for building and improving AI systems.

⚖️ Reddit sues Anthropic over data scraping ⚖️

Reddit has filed a lawsuit against Anthropic, accusing the AI startup of illegally scraping its platform data to train Claude models without permission or payment. The social media giant alleges Anthropic's bots hit its servers over 100,000 times even after the AI company claimed it had blocked them from accessing the site. Reddit states it attempted to negotiate a licensing deal similar to its existing agreements with OpenAI and Google, but Anthropic declined. The complaint filed in San Francisco Superior Court seeks unspecified restitution and punitive damages, and an injunction prohibiting Anthropic from using Reddit content for commercial purposes. The lawsuit represents yet another front in the broader legal war over AI training data, as platforms increasingly demand compensation from companies building billion-dollar models on their content.

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