ElevenLabs published a blog post titled “Introducing The Eleven Album.” Based only on the title, this appears to be a release or introductory announcement for a new project. The provided content does not include details on format, availability, technical features, collaborators, licensing, or whether it is directly tied to ElevenLabs’ voice AI tools.
ElevenLabs published a blog post titled “Introducing Scribe v2.” With no source text provided, the only confirmed information is that it introduces Scribe v2. It likely concerns an updated transcription or speech-to-text product, but features, accuracy claims, pricing, API access, language support, and rollout details cannot be verified from the title alone.
ElevenLabs announced it is an official partner of Audi Revolut F1 Team, focusing on AI-powered audio and voice generation. The partnership aims to help the team communicate with global fans through scalable, culturally resonant content across digital platforms. The post does not disclose specific product launches, technical details, timelines, or deployment formats.
ElevenLabs published a blog post announcing that Eleven v3 is now generally available. Since the article body was not provided, the only confirmed detail is the availability milestone, not specific feature, pricing, API, language, or performance changes. Developers and creators using voice AI should review the official post before making adoption decisions.
Based only on the title, this ElevenLabs Blog post likely discusses multilingual diplomacy during Poland’s presidency of the Council of the EU. It may involve voice, translation, or audio workflows, but the original text is unavailable, so specific claims cannot be verified. The main signal is that AI voice tools are being positioned for public-sector and international communication use cases.
ElevenLabs’ blog title presents Klarna as an enterprise case study for ElevenAgents. The stated result is a 10X reduction in Time to Resolution, likely tied to customer support or operational workflows. Because the article text was not provided, details such as scope, methodology, baseline, and deployment design cannot be verified here.
ElevenLabs announced a $500 million Series D at an $11 billion valuation, more than triple its valuation from a year earlier. The round was led by Sequoia Capital, with A16Z, ICONIQ, Lightspeed, BOND, and others participating. The company says it will invest in ElevenAgents, ElevenCreative, ElevenAPI, voice agents, conversational models, dubbing, audio research, and international expansion.
Based only on the title, this ElevenLabs Blog post appears to frame an SXSW moment around honoring Eric Dane’s legacy and advancing 1 Million Voices. The article likely emphasizes voice technology’s social or human impact rather than a technical model release. Without the source text, details about participants, implementation, outcomes, or product updates cannot be verified.
ElevenLabs’ blog title indicates the company is expanding in Spain. With no article body provided, the exact nature of the expansion is unclear, including whether it involves hiring, offices, partnerships, localization, or product updates. The news mainly signals continued international growth for an AI voice company, but its practical impact cannot be assessed without the full post.
ElevenLabs introduced ElevenMusic, an AI-powered music discovery and creation platform built on its fully licensed music model. Users can remix discovered tracks by changing genre or tempo, or start from lyrics, melodies, and moods to create full songs. The launch emphasizes artist collaboration, fan participation, publishing, and monetization, with over 4,000 independent and emerging artists already involved.
ElevenLabs says it will triple its Australia and New Zealand team over the next year, adding sales and forward-deployed engineering roles. The company cites more than 750,000 regional users and enterprise customers including Xero, Greenstone Financial Services, Heidi Health, Andromeda Robotics, and Employment Hero. The update focuses on enterprise voice AI adoption, including outbound calls, customer screening, content creation, and aged-care companion robotics.
ElevenLabs says Music v2 improves vocals, instrumentation, arrangement, and multilingual generation across genres. The model adds finer control through inpainting, section-by-section song building, reference matching, and more complex vocal or stylistic handling. It powers ElevenMusic and ElevenCreative now, with ElevenAPI access coming soon, and is positioned for musicians, developers, brands, and content teams.
ElevenLabs introduced Dubbing v2, a new AI dubbing model that preserves tone, pacing, delivery, and emotional intent from the original speaker. It supports more than 90 languages and uses sync-aware translation to make dubbed speech feel more natural. The product is available in ElevenCreative and ElevenProductions, while API access is coming soon.
ElevenLabs announced in its blog title that it has crossed $500 million in annual recurring revenue. The company also says it welcomed new investors, including BlackRock, NVIDIA, Jamie Foxx, and Eva Longoria. Since no article body is provided, details such as funding amount, valuation, revenue mix, product roadmap, or specific strategic partnerships cannot be confirmed.
The source only provides the ElevenLabs Blog category title “Resources,” without article text or specific details. It appears to be a resource-oriented category or index rather than a standalone announcement, paper, or incident. Its value is mainly as a pointer for later tracking, not as a substantive AI news item.
Only the source, URL, and title “ElevenCreative” are available. The name suggests a possible ElevenLabs blog category related to creative audio or voice content, but no details are confirmed. Without the original article text, it cannot be classified as a launch, tutorial, or business update with confidence.
Only the title “ElevenAgents” and the ElevenLabs Blog category URL are available. This appears to be a category or topic page rather than a fully provided article. No concrete product features, release details, pricing, integrations, or technical claims can be confirmed from the supplied text.
The source text is unavailable, so only the title can be assessed. It appears to frame American AI as an “OnlyFans economy,” likely criticizing subscription, personalization, attention, and creator-style monetization dynamics. No specific companies, models, facts, or claims can be verified from the provided material.
Quilty pitched Hollywood on an AI tool that can read a screenplay and predict whether a film will succeed. Early testers, however, came away skeptical of its judgments and reliability. The story highlights a broader tension in entertainment: AI may assist script analysis, but predicting taste, timing, culture, and box office outcomes remains deeply uncertain.
The Intercept says a site called La Tilde presents itself as a Latin American media brand while publishing content aligned with U.S. military messaging. The outlet reportedly mixes lifestyle and finance articles with pieces praising U.S. actions in the region. The case raises concerns about AI-generated media, covert influence operations, source transparency, and the blurred line between journalism and state propaganda.
Apple cited an Analysis Group study showing the global App Store ecosystem facilitated over $1.4 trillion in developer billings and sales in 2025. More than 90% of that commerce reportedly paid no commission to Apple, reflecting the broad inclusion of physical goods, services, digital sales, and ads. Apple also said consumer-facing AI apps saw much faster billing growth, with over 40 of the top 100 apps featuring AI capabilities.
Simon Willison quotes Emanuel Maiberg of 404 Media about a post-publication request from Google. After the story ran, Google asked the outlet to publish a slightly different version of its statement. The notable change: the revised statement no longer said it was critical to maintain humans in the loop, raising questions about corporate AI accountability language.
Meta is rolling out a new AI creator assistant on Facebook aimed at helping creators interpret performance without digging through charts and dashboards. The assistant can answer operational questions such as when to post and what people are saying in comments. Based on the provided text, the focus is faster insight and creator workflow support, with no specific model, rollout scope, or deeper feature details stated.
The article says AI-generated content has become nearly impossible to avoid online. Platforms such as YouTube, Instagram, and TikTok have expanded authentication efforts and increasingly label AI-made images, videos, and music. The author argues that labels are not enough: if platforms can identify AI content, they should give users controls to filter or reduce it.
Hermes Desktop is expanding from a terminal-focused AI assistant into native GUI desktop apps across three major platforms. Its key feature is “unified memory,” which syncs conversation context across messaging apps to keep the assistant experience consistent. The move lowers the barrier for non-command-line users and may broaden adoption among people who rely on multiple communication tools.
Google Search Console is reportedly testing an AI search performance report that separates AI Overview exposure data from traditional search metrics. The move gives generative engine optimization, or GEO, a clearer measurement baseline. If broadly launched, it could help content, SEO, and marketing teams evaluate how their pages appear in AI-powered search experiences instead of relying mainly on manual checks and assumptions.
The UK CMA is requiring Google to let publishers opt out of having content used in AI Overviews, AI Mode, and related generative search features. Google must also provide clearer attribution and links in AI-generated search results. The move targets publisher concerns that AI summaries reduce referral traffic while relying on original web content.
TechCrunch reports that Google’s Dreambeans is a new AI tool with an unusually quirky name. Its core idea is to turn a user’s life into cartoon-like, AI-illustrated stories. Based on the provided article text, Dreambeans builds those curated stories from personal data in the user’s Google account, raising both consumer-content possibilities and privacy questions.
Amazon is updating its in-app search bar to show AI-generated product images based on user descriptions. The feature currently covers clothing and home goods, letting shoppers tap the closest image and search for similar-looking items. The images are not necessarily products users can buy, making them a visual bridge between vague intent and actual inventory.
Amazon plans to use visual search and AI to display generated product images that match user search queries. The company says the feature is meant to guide shoppers toward products. The report does not provide details on rollout scope, labeling, model choice, or how closely generated images will map to real purchasable items.