5-min read

Hello AI Enthusiasts,

Your next video might need rain, footsteps and a door creaking open. ElevenLabs’ latest model lets you describe those sounds together.

Today: a new audio tool, Mistral’s open model and a practical lesson from AI agents already handling company work.

👇 Later: A practical guide to building a working online store with Lovable —without code.

ElevenLabs launched SFX v3 on October 29, with better handling of prompts that combine several sounds.

Describe a scene—a crowd cheering, a ball dropping, then boos—and the model attempts to produce the sequence. ElevenLabs also reports improvements in musical sounds, vocals and audio quality.

Why it matters: Creators can try a complete sound idea before spending time assembling separate effects.

Try this:

“Footsteps approach on wet pavement. Keys jingle, a door opens, and the rain becomes muffled as someone steps inside.”

Find it in ElevenCreative or through ElevenAPI. Access is limited in some regions; precise counts and timing can still need another attempt.

👉 Hear the examples and try SFX v3 →

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Google’s Personal Health Agent combines a data analyst, health expert and coach to interpret wearable data and health records.

Our latest AIHealthTech Insider explains the research—and why stronger answers haven’t yet demonstrated lasting health improvements. Also inside: Microsoft’s diagnostic AI and an experimental protein-design challenge.

👉 Explore the health research →

🔥 More AI news

Mistral released the weights for Large 4, its trillion-parameter model, following an earlier preview. Teams can inspect, customize and deploy it on their own infrastructure, with updated coding and defensive cybersecurity capabilities.

Check access: Try it through Mistral Studio or the API. Running the full model yourself requires substantial infrastructure; review the license before commercial deployment. Explore the release and access options →

ElevenLabs says its internal agents save over 1,200 hours a month, answer 5,000-plus questions and created more than 150 tickets last month. Its practical lesson: narrowing the information agents can access improved accuracy more than changing prompts. These are company-reported results. See the workflows and lessons →

Anthropic expanded its AI for Science program across foundations, institutions and research groups. The work includes support for analyzing scientific datasets and a research-preview standard for agents operating laboratory instruments. See the partners and research projects →

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From ML engineers to founders, 1.1M+ readers use TLDR AI to spot new tools and research before they go mainstream. One free email, every morning.

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Describe your store in one detailed prompt, let Lovable generate the homepage, product catalog, cart, checkout flow, and admin dashboard, then connect Lovable Cloud and Stripe. Add products, edit the design visually, test on mobile, attach a domain, and you can have a working ecommerce app live in an afternoon.

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Greenhouse’s Claude integration lets hiring teams examine live recruiting data, review stalled candidates and draft interview scorecards.

Our latest Sunday Special explains the open beta, alongside four remote roles, an AI job-application walkthrough and two online competitions. People remain responsible for hiring decisions.

👉 Explore the Sunday Special →

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Pick a short video you already have. Describe three sounds that would make the scene clearer, then test one prompt.

What takes longer in your workflow: making the visuals or finding the audio? Hit reply.

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