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ElevenLabs released Eleven v4, a text-to-speech model that generates emotionally expressive speech by interpreting tone, pacing, and context. It ranks #1 in independent benchmarks and was preferred by ~75% of listeners in blind tests against competitors.
- Eleven v4 can generate speech with distinct emotions (dramatic, tender, urgent, comedic) while maintaining speaker identity, and users can control delivery through natural language prompts and inline tags like [laughs] or [said angrily in French accent]
- Eleven v4 Turbo achieves ~150ms latency for conversational agents, solving the traditional speed-vs-quality tradeoff that forced developers to choose between fast but robotic or slow but expressive voices
- The model supports 90+ languages and can clone voices that speak fluently in any language while adopting native accents and retaining the original voice's identity, improving dubbing and localization work
PixMind’s Nano Banana Pro uses Gemini 3 Pro to generate posters, labels, infographics, and ads with sharp text rendering, multilingual localization, and high-res output. It handles complex prompts with multiple objects, layout constraints, and cultural context, and offers a simple review-and-export workflow with adjustable resolutions and aspect ratios for professional projects.
- Nano Banana Pro (built on Gemini 3 Pro) outputs at 1K/2K/4K with selectable aspect ratios (1:1, 4:3, 3:4, 16:9, 9:16)
- Renders crisp, readable text directly in images (menus, labels, charts) without post-editing
- Maintains consistent colors, fonts, and imagery across localized/multilingual versions of the same design
- Handles complex multi-object, multi-step prompts (process diagrams, comparison layouts) via a simple prompt-review-export workflow
Lipton teams with Billion Dollar Boy to set up “Social Hubs” of local creators across eight markets. These creators drive content production, community management, and measurement early in the process, giving Lipton on-the-ground social teams without hiring in-house.
- Lipton partnered with Billion Dollar Boy on a two-year "Social Hubs" trial, recruiting creator teams across seven markets (France, Turkey, Belgium, Spain, Netherlands, Poland, Saudi Arabia) via the Companion platform to act as local social teams without hiring in-house staff.
- Creators are embedded early in planning to feed cultural context and trend signals into content strategy, rather than just being booked for one-off campaign content at the end of the pipeline.
- The model bundles four normally separate functions—creator sourcing, content production, community management, and measurement—into one system, offering a middle path between fully in-house and fully outsourced social teams.