Hey AI Explorers,

Here’s what’s in store for you today:
📰 AI NEWS

• 🚀 Grammarly Rebrands to Superhuman, Launches AI Assistant “Superhuman Go”

• 🎙️ ElevenLabs CEO: AI Audio Models Will Eventually Be Commoditized

• 📈 Nvidia Becomes the First Public Company Worth $5 Trillion

LATEST DEVELOPMENT

🚀 Grammarly Rebrands to Superhuman, Launches AI Assistant “Superhuman Go”

Grammarly is shedding its old identity and leveling up. It has officially rebranded as Superhuman, expanding its mission far beyond grammar correction into a full-fledged AI productivity platform. The familiar writing tool now coexists within a broader ecosystem alongside new tools like Superhuman Mail, Coda, and a freshly launched AI assistant named Superhuman Go.

Superhuman Go is designed to work proactively and contextually across whatever apps you use. It can offer suggestions, draft content, schedule meetings, and automate tasks without needing explicit prompts. The goal is to reduce the mental overhead of switching contexts and prompt engineering.

Under this shift, the original Grammarly features aren’t disappearing — they’re now one component of a bigger vision. Writing correction, style improvements, and tone adjustments still live inside Superhuman, but now they’re supported by agentic layers that understand broader workflows.

This repositioning reflects a bold bet: that productivity tools must evolve from reactive helpers into anticipatory agents that fit seamlessly into users’ digital workflows. With Superhuman, the dream is to build a system that knows what you need and acts accordingly — rather than waiting for you to ask.

If this works, we’ll see fewer isolated AI apps and more unified platforms where a single assistant threads through your writing, email, docs, scheduling, and decision tasks — elevating the “productivity stack” into a single intelligent layer.

Want me to rewrite this and your other pieces into one complete newsletter issue under the Superhuman rebrand?

🎙️ ElevenLabs CEO: AI Audio Models Will Eventually Be Commoditized

Mati Staniszewski, CEO of ElevenLabs, has shared a striking perspective: while proprietary audio-AI models offer a current edge, the long-term destiny for them is commoditization.

At a recent conference, Staniszewski explained that although ElevenLabs is investing heavily in building high-quality voice models now, the competitive advantage those models provide will narrow over time. He said that many voices, languages, and features will eventually be attainable by more players, reducing differentiation.

The implication? The real value may shift from the model itself to the applications and ecosystems built on top. ElevenLabs is thus pursuing not only strong models but also tools, workflows, integrations and safety frameworks that can endure even when the underlying model landscape becomes more accessible.

🙋 Why this matters:

• It signals a maturation of the AI-audio field: features once considered advanced may become baseline.

• Companies will need to focus less on “we built a better model” and more on “how our model is used in context, domain and workflow”.

• For creators, this could mean lowered barriers to entry for audio-AI capabilities, but greater competition and pressure on differentiation.

• For users and buyers, commoditization could bring more choice and lower cost—but also raises questions about quality, uniqueness and trust.

🔍 Bottom line:
ElevenLabs isn’t just building voice-AI — it’s preparing for a future where voice-AI is ubiquitous. Their strategy? Nail the model today, build the ecosystem tomorrow. The broader trend: as audio-AI features become standardized, the winners will be those who turn models into seamless tools, platforms and experiences.

📈 Nvidia Becomes the First Public Company Worth $5 Trillion

Nvidia has hit a historic milestone — it’s now the first publicly traded company to break $5 trillion in market value, powered by runaway demand for AI hardware and infrastructure.

Under CEO Jensen Huang, Nvidia has transformed from a GPU maker into the critical backbone of the AI era. Its chips power large language models, data centers, and cutting-edge compute systems globally.

This valuation surge didn’t happen in a vacuum. Nvidia recently announced $500 billion in chip orders and plans to build seven AI supercomputers for the U.S. government. The momentum reflects both confidence in AI’s growth and Nvidia’s role as a central enabler.

But the feat is more than symbolic — it reshapes the ground in tech. With this valuation, Nvidia stands above giants like Apple and Microsoft in capital markets, reinforcing the thesis that the AI infrastructure layer may now be more valuable than apps or consumer products.

Still, huge valuations come with scrutiny. Regulatory pressures, global export controls, and macro risks will all test whether Nvidia can sustain this peak.

Nvidia’s leap to $5 trillion isn’t just about numbers. It signals a new hierarchy in tech: those who build the foundation often end up higher than those who build on it.

— Takeaway: As AI becomes everything’s engine, Nvidia is proving that the road to riches might run through chips, not screens.

QUICK HITS

📰 Everything else in AI today

• 🗣️ ElevenLabs drops Conversational AI 2.0

• 🧠 OpenAI teases “ambient” hardware devices

• 💰 Anthropic hits $3B annualized revenue

• 🔐 Meta automating 90% safety reviews

• 🎥 Veo 3 used in millions of videos

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