According to @elevenlabsio, coding agents now have access to a local scratchpad, enabling them to reason about conversational agents and update them programmatically through tools like AnthropicAI's Claude Code or lovable_dev's CLI. This development streamlines the workflow for AI developers by providing an isolated environment to test, debug, and refine conversational logic before deployment. Verified by ElevenLabs, this feature offers practical benefits for AI product teams, reducing iteration time and increasing the reliability of chatbot and conversational AI systems. The integration of a local scratchpad can drive innovation in AI-powered customer service, virtual assistants, and enterprise automation solutions by making development processes more agile and robust (source: @elevenlabsio).

According to @Steno_ai, Tony Robbins' AI twin, developed in partnership with Steno AI and voice technology provider ElevenLabs, demonstrates how conversational AI can enable educators, creators, and public figures to scale personalized interactions. The AI twin delivers real-time coaching in Tony Robbins' own voice and uses memory features to track individual user goals and previous conversations. With tens of thousands of users engaging daily, this application highlights the business potential for conversational AI in scalable, personalized coaching, digital education, and content delivery (Source: @Steno_ai).

According to ElevenLabs (@elevenlabsio), Funding Societies now leverages ElevenLabs Conversational AI to execute over 1,000 calls per day, utilizing multilingual voice agents that guide prospects through financing options. These AI-powered agents authentically replicate a live agent’s cadence, vocabulary, and regional accent, enhancing customer engagement and preserving authenticity. This deployment demonstrates a scalable approach to automating customer interactions in the fintech sector, allowing Funding Societies to efficiently expand its outreach while maintaining a personalized experience, and highlighting significant business opportunities for AI-driven voice automation in financial services (source: @elevenlabsio, July 2, 2025).

According to @elevenlabsio, 11ai is powered by their advanced Conversational AI platform, which enables the rapid deployment of interactive voice agents supporting both voice and text. The platform features integrated Retrieval-Augmented Generation (RAG), automatic language detection, and seamless integration capabilities, positioning it as a comprehensive solution for businesses seeking scalable, multilingual AI customer service and engagement tools. This development highlights a growing trend in the AI industry towards robust, plug-and-play voice AI platforms designed for enterprise deployment and enhanced automation. Source: elevenlabs.io/conversational

According to @elevenlabsio, 11ai is powered by their Conversational AI platform, which enables businesses to deploy interactive voice agents supporting both voice and text. The platform offers integrated Retrieval-Augmented Generation (RAG), real-time language detection, and seamless multi-modal interactions, addressing the growing demand for scalable, multilingual AI-driven customer service and automation solutions. This development highlights significant opportunities for enterprises to improve user engagement and streamline support operations using state-of-the-art conversational AI technologies (Source: elevenlabs.io/conversational).

According to ElevenLabs (@elevenlabsio), Franco Abaroa (@francobit) won first place in the Eleven v3 competition by demonstrating how the Eleven v3 AI voice model can generate emotionally nuanced and dynamic dialogue that closely mimics human interaction. This competition result showcases the advanced capabilities of AI voice synthesis technology, specifically in delivering realistic emotional expression, which is a key trend impacting sectors such as customer service, entertainment, and virtual assistants. The win underscores growing business opportunities for AI-driven voice technology in enhancing user engagement and creating more natural conversational AI experiences. Franco will receive Meta Ray-Ban AI Glasses as recognition for his achievement (source: ElevenLabs Twitter, June 27, 2025).

According to @AIatMeta, Meta has publicly released the Seamless Interaction Dataset, featuring over 4,000 participants and 4,000+ hours of interaction videos, establishing it as the largest known video dataset of its kind. This dataset is designed to support the development of advanced audiovisual behavioral AI models capable of understanding and generating human-like social interactions. For AI businesses and researchers, this release presents significant opportunities to enhance conversational AI, virtual assistants, and social robotics with improved empathy and social context awareness, using real-world, large-scale audiovisual data. Source: Meta via Twitter (June 27, 2025).

According to @AIatMeta, Meta has publicly released the Seamless Interaction Dataset, featuring over 4,000 participants and 4,000 hours of video interactions, making it the largest video dataset of its kind (Source: @AIatMeta, June 27, 2025). This dataset is designed to power audiovisual behavioral models, enabling advanced AI systems to better understand and generate human-like social interactions. The release is expected to accelerate research and commercial applications in fields like conversational AI, social robotics, and human-computer interaction, offering significant business opportunities for companies developing next-generation AI-driven customer service and virtual assistants.

According to Anthropic (@AnthropicAI), recent analysis of AI-driven conversations reveals that discussions tend to end on a slightly more positive note than they begin, suggesting improved user experience and emotional stability in AI chatbots. Although Anthropic clarifies that these positive shifts do not guarantee lasting emotional benefits for users, the lack of negative spirals is seen as a reassuring outcome for AI deployment in customer support, digital health, and mental wellness applications. This data-driven finding highlights the importance of designing AI systems that foster constructive engagement, presenting new market opportunities for businesses seeking to enhance user satisfaction through conversational AI technologies (Source: Anthropic, June 26, 2025).

According to ElevenLabs (@elevenlabsio), 11ai is powered by Conversational AI, a low-latency platform designed for scalable voice agents that support both voice and text interactions. The platform integrates Retrieval-Augmented Generation (RAG), advanced language detection, and other AI-driven features, enabling businesses to deploy highly responsive, multilingual voice agents at scale. This development highlights significant business opportunities for companies seeking efficient customer support automation and personalized voice-driven applications, as Conversational AI reduces response times and enhances user experiences (source: ElevenLabs Twitter, June 23, 2025).

According to @GoogleDeepMind, the newly released Gemini 2.5 Flash Lite model demonstrates significant improvements in processing speed and efficiency for AI-powered applications, making it highly suitable for real-time use cases such as conversational AI, instant translation, and dynamic content generation. The model's lightweight architecture allows for rapid deployment in both cloud and edge environments, providing businesses with scalable AI solutions that reduce latency and operational costs. These advancements open up new opportunities for enterprises to integrate AI-driven automation and enhance user experiences across industries (source: @GoogleDeepMind, Twitter, June 2024).

According to Greg Brockman (@gdb), ChatGPT's image generation feature is now accessible to everyone on WhatsApp, enabling users to create AI-generated images directly within the messaging app (source: https://twitter.com/gdb/status/1934795523481063601). This integration opens up significant business opportunities for companies looking to enhance customer engagement and content creation within chat platforms. By leveraging generative AI, businesses in sectors such as marketing, e-commerce, and customer support can now provide richer, more interactive experiences to users. The rollout aligns with growing trends in conversational AI and visual content, positioning WhatsApp as a key player in the AI-driven digital communication landscape.

According to ElevenLabs on Twitter, their Conversational AI platform now allows businesses to build agents that can book appointments, summarize content, search for information, or automate various workflows using natural language. The platform provides practical business applications, such as streamlining customer service, automating repetitive administrative tasks, and enabling instant knowledge retrieval. These AI-powered agents can be easily integrated via ElevenLabs’ API and documentation, enabling companies to deploy scalable automation solutions that reduce operational costs and enhance user experience (Source: twitter.com/elevenlabsio, elevenlabs.io/docs/conversational).

According to ElevenLabs (@elevenlabsio), the company has announced the Eleven v3 competition to highlight cutting-edge applications of its latest AI voice generation technology. Participants are encouraged to submit custom videos, dialogues, and narrations that leverage the capabilities of Eleven v3, with a focus on demonstrating real-world use cases such as content creation, entertainment, and conversational AI. Winners will receive Meta Ray-Ban AI Glasses, underscoring the integration of AI voice with wearable technology. This competition offers significant opportunities for AI developers and businesses to showcase practical implementations, attract industry attention, and explore new business models in the rapidly growing AI audio sector (source: @elevenlabsio, June 10, 2025).

According to OpenAI (@OpenAI), the updated Advanced Voice feature in ChatGPT has been officially launched for all paid users as of June 2025. This upgrade significantly improves the naturalness, expressiveness, and contextual understanding of AI-generated speech, making AI voice interactions more engaging and lifelike. Practical business applications include customer support automation, content creation, and accessibility solutions. The rollout demonstrates OpenAI's continued investment in voice AI technology, positioning ChatGPT as a leading platform for enterprises seeking advanced conversational AI capabilities (Source: @OpenAI, June 9, 2025).

According to Greg Brockman (@gdb), recent advancements in ChatGPT's voice capabilities have significantly improved the realism and naturalness of AI-driven conversational tools, enabling more seamless and human-like interactions for business and consumer applications (Source: Greg Brockman, Twitter, June 7, 2025). This progress opens up new market opportunities for AI-powered voice assistants across customer service, content creation, and interactive entertainment, as organizations seek to leverage advanced generative AI for enhanced user engagement and operational efficiency.

According to OpenAI (@OpenAI), the company has released a major update to its Advanced Voice feature, making conversations with ChatGPT significantly more natural and effortless for users. This update is now accessible to all paid subscribers of ChatGPT as of June 7, 2025. The enhancement leverages improved speech recognition and synthesis technology, aiming to deliver a more human-like interaction experience. For businesses in the AI sector, this marks an important step in conversational AI, opening up new opportunities for customer service automation, voice-enabled applications, and enterprise productivity tools by providing more intuitive voice-based interactions (Source: OpenAI Twitter, June 7, 2025).

According to @elevenlabsio, the new Eleven v3 (alpha) model demonstrates a significant leap in AI voice realism, including natural-sounding laughter and nuanced emotional expressions. The team has shared audio samples where the AI convincingly replicates human laughter and dynamic intonation, pointing to new standards in conversational AI and digital content production. These advancements open business opportunities in customer service automation, interactive entertainment, and personalized content creation, as enterprises seek more engaging and lifelike voice experiences (source: @elevenlabsio Twitter thread, June 2024).

According to @elevenlabsio, Eleven v3 introduces advanced AI models designed to generate multi-speaker dialogue that mimics real human conversations, including handling interruptions, tone shifts, and emotional cues based on context (source: https://twitter.com/elevenlabsio/status/1797641278063284291). This breakthrough enables businesses to build more engaging conversational AI across customer service, entertainment, and education sectors. The technology leverages deep learning to distinguish between speakers, adapt to dynamic conversational flows, and respond authentically to emotional signals, making it a valuable tool for companies seeking to enhance user engagement and realism in AI-driven voice applications.

According to @elevenlabsio, ElevenLabs is preparing to launch a public API for its Eleven v3 (alpha) AI voice generation platform. Businesses seeking early access can contact the sales team directly. The company is concurrently developing a real-time version of v3, but currently recommends using v2.5 Turbo or Flash for real-time and conversational AI applications. This move signals significant business opportunities for developers and enterprises looking to integrate advanced synthetic voice capabilities into their applications, as the v3 API is expected to offer improved voice quality, scalability, and new features for diverse AI-driven use cases (source: @elevenlabsio, Twitter, 2024-06-10).