According to @demishassabis on Twitter, the GeminiApp has achieved the number one position in the App Store, reflecting a significant milestone for AI-powered mobile applications. This breakthrough highlights the growing consumer adoption of advanced AI chatbots and virtual assistants, opening new avenues for app developers and businesses seeking to integrate conversational AI into customer-facing products. The success of GeminiApp demonstrates strong user demand for intelligent, real-time interaction, and sets a precedent for future AI-driven app innovations (Source: x.com/demishassabis/status/1966931091346125026).

According to Fei-Fei Li (@drfeifei), referencing Oliver Sacks, the challenge of describing the 'space between'—the conceptual nothingness or gaps in language—remains a significant hurdle for AI language models (source: https://twitter.com/drfeifei/status/1966265813637460471). While AI can analyze data, objects, and entities in detail, representing abstract notions such as emptiness, silence, or the path between events is much more complex. This opens new research directions in natural language processing, particularly for applications like conversational AI, generative storytelling, and semantic search, where understanding subtle context and implied meaning can improve user experience and unlock advanced business opportunities (source: https://x.com/rohanpaul_ai/status/1965242567085490547). The evolution of AI language models to better capture such nuances is critical for industries relying on human-like communication, including customer service automation, creative content generation, and knowledge management.

According to ElevenLabs (@elevenlabsio), the company has launched a new regional hub in Brazil, a market recognized for its high engagement with voice-driven experiences and substantial user base even prior to local operations. The release of Judite 2.0, an AI-powered voice agent based on a popular Brazilian character, exemplifies ElevenLabs' strategy to localize AI products and foster user adoption by leveraging culturally relevant content. This move taps into Brazil's growing demand for conversational AI, presenting business opportunities for companies seeking to expand AI-powered voice solutions in Latin America (source: ElevenLabs Twitter, Sep 8, 2025).

According to ElevenLabs (@elevenlabsio), their latest release enables users to build apps and websites simply by chatting with AI, now enhanced with real-time voice functionality (source: ElevenLabs Twitter, September 4, 2025). This innovation streamlines the development process for non-technical users and businesses, offering a low-code, voice-driven solution that accelerates prototyping and deployment. The integration of voice capabilities opens new business opportunities in accessibility and rapid digital transformation, making AI-powered development more inclusive and efficient.

According to ElevenLabs (@elevenlabsio), since launch, customers have created over 2 million AI agents that have collectively managed more than 33 million conversations. This milestone highlights the accelerating adoption of conversational AI in customer service, content moderation, and sales automation sectors. Businesses are leveraging ElevenLabs’ advanced AI agent technology to streamline operations, reduce support costs, and enhance user experiences, underscoring significant market opportunities for scalable AI-driven communication solutions (Source: @elevenlabsio, September 3, 2025).

According to @elevenlabsio, Conversational AI has been rebranded as ElevenLabs Agents, offering a unified platform for businesses to build, deploy, and manage conversational agents capable of voice, text, and actionable tasks across phone, web, and app channels (source: @elevenlabsio, Twitter, 2024-06-10). This strategic move reflects a broader focus on multi-channel automation and practical business applications, enabling enterprises to streamline customer service, automate workflows, and enhance user engagement through AI-powered agents.

According to Greg Brockman on Twitter, the introduction of connectors and persistent conversations in the Responses API enables businesses to seamlessly integrate diverse data sources and maintain contextual, ongoing dialogues with users (source: Greg Brockman, Twitter). This development significantly improves AI-powered customer support and workflow automation by allowing persistent state management and multi-platform interaction. Companies leveraging the Responses API can now create more robust conversational AI applications, leading to enhanced customer engagement, operational efficiency, and new AI-driven business opportunities.

According to Sam Altman (@sama), most users will notice improvements in GPT-5 as the latest update rolls out over the next day. The update aims to enhance user satisfaction with GPT-5’s performance. Additionally, OpenAI is actively developing features that will let users customize ChatGPT's conversational style to better suit individual preferences, addressing a key area of user demand. This move highlights a growing trend in the AI industry toward greater personalization and user control, signaling business opportunities for companies to differentiate through customizable AI solutions (Source: Sam Altman on Twitter).

According to OpenAI (@OpenAI), the company is making GPT-5 warmer and friendlier in response to user feedback indicating the model previously felt too formal. The update introduces subtle but genuine conversational touches such as 'Good question' and 'Great start,' aiming to make ChatGPT more approachable without resorting to flattery. Internal tests conducted by OpenAI confirm these adjustments have not resulted in any increase in undesirable behaviors or risk, ensuring that business users can benefit from improved user engagement while maintaining reliability. This strategic move reflects a growing trend in the AI industry to humanize conversational agents for broader adoption and enhanced customer experience (source: OpenAI, August 15, 2025).

According to @OpenAI, the Startup Grants program has been significantly upgraded, now offering qualified startups 12 months of free access to over 680 hours of Conversational AI, compared to the previous 3-month window. The program also raises concurrency limits and provides enhanced support, enabling startups to scale their AI-powered solutions more efficiently. This expansion directly lowers the entry barrier for AI adoption in early-stage companies and fosters rapid prototyping and deployment of AI applications across industries. These improvements are poised to accelerate innovation and create new business opportunities in the AI ecosystem (source: @OpenAI on Twitter).

According to ElevenLabs (@elevenlabsio), over 4,000 Startup Grants have already been awarded to leading AI startups such as Allo, Layer, Opus, Lucida, and Yarn. This initiative aims to accelerate the development and commercialization of advanced AI voice and language models. These grants provide early-stage AI companies with essential funding and resources, enabling them to innovate in natural language processing, speech synthesis, and conversational AI. The program strengthens the AI startup ecosystem and opens new business opportunities in voice technology, virtual assistants, and generative AI applications (source: @elevenlabsio, August 12, 2025).

According to Grok (@grok) on Twitter, the new Grok AI app is now available for download, offering users access to advanced conversational AI technology designed to enhance productivity and streamline workflows in business environments. This launch marks a significant step in democratizing AI-powered tools for both enterprises and individual users, expanding opportunities for automation in customer service, content generation, and internal knowledge management. The app’s release reflects broader industry trends toward mobile-first AI solutions, making advanced language models more accessible for everyday business operations (source: Grok, Twitter, August 11, 2025).

According to Anthropic (@AnthropicAI), their latest automated pipeline allows users to generate a unique persona vector simply by describing a personality trait, enabling rapid development of highly customizable AI agents for various applications. The persona vector technology streamlines the creation of tailored conversational AI for sectors like customer service, marketing, and virtual assistants, reducing manual engineering and opening new business opportunities for scalable, personalized user experiences (Source: Anthropic, Twitter, August 1, 2025).

According to @peterbhase, persona vectors have proven valuable for identifying training data that could impart undesirable personality traits to AI models. This capability enables machine learning engineers to proactively filter out problematic examples, even those that might otherwise go unnoticed, thereby improving the integrity and reliability of AI systems. This advance has significant implications for AI safety, bias reduction, and the development of trustworthy conversational AI, as it allows for more precise control over model behaviors and outputs (source: @peterbhase on Twitter).

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).