Our Studio product lets you:
– Add voiceovers from 10,000+ voices in 32+ languages.
– Generate background music and sound effects on the timeline.
– Edit spoken audio by editing the script – no re-recording.
– Upload video and enhance it with AI audio.
GENERATIVE AI
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ElevenLabs Studio: AI voiceovers, music, and audio editing
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Factory Introduces AI Agents for Automated Software Development Tasks
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Excited to welcome @FactoryAI to Interrupt! From IDE to CI/CD, delegate complete tasks like refactors, incident response, and migrations to Droids, Factory's software development agents, without changing your tools, models, or workflow.
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Coordination defects cause majority of multi-agent LLM failures
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Pay attention to this one if you build multi-agent systems. Coordination is as important as prompts or agent architecture. Multi-agent LLM systems fail in production at rates between 41% and 87%. The majority of those failures are coordination defects, not base-model
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Discussion on voice cloning AI capabilities and real-time models
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Donnez-moi encore un peu de temps, je vais vous faire une démo avec certains des derniers modèles qui promettent de faire du clonage en quelques secondes. Entre TTS, speech-to-speech, temps réel ou non, il y a un monde. Vous allez voir qu’on est loin de ce que ce reportage
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OpenClaw Agents Dreaming mainstream with Claude Managed Agents
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— Shubham Saboo (@Saboo_Shubham_) 7 mai 2026
OpenClaw Agents Dreaming will now be mainstream with Claude Managed Agents. Visual explanation of how AI Agents actually dream. x.com/claudeai/statu…
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Free Playbook: Set Up AI Agents for Small Businesses with Frontier Models & Open Source Tools
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I wrote The Agentic Business Playbook for regular people who want to set up AI Agents for small businesses. Not sponsored by anything, only recommends frontier models and open source tools. You can grab it here for free! (just enter $0 at checkout)
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Research on many-shot prompting limits
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More examples don’t always mean better results. Our team's research explores the real limits of many-shot prompting and test-time adaptation across models and tasks. Read the paper
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Anthropic and OpenAI dominate AI market, only Google and Meta compete
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It is remarkable how quickly this market shook out. Anthropic & OpenAI are in business take-off, at least: they have the model development, enterprise deals, compute deals, government & press attention and consumer recognition. Only potential competition is Google (& maybe Meta)
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Training models, the new ‘learn to code’
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Training models is gonna become the new learn to code and will be automated to a high degree Novel research is another thing and has already been automated to some extent Synthetic data might be the only thing yet to crack, matter of time Compute is the ONLY TRUE moat
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Casual AI audio generation and compression workflow
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Essaye et met le résultat avec 3sc d'audio compressé en francais 😉 .