Voice AI Device from OpenAI

Hi everyone,

Some upcoming news to kick off 2026.

First, OpenAI may soon be releasing its first hardware devices.

Second, DeepSeek has a breakthrough in their ML research paper - the technical stuff is below, but the main idea is that it makes training these model more efficient.

Let’s get right into it.

In this issue:

• 🤝 In Partnership: Free report on AI marketing

• 🤿Deep Dive: OpenAI to release new audio model with standalone device

• 🤝 Powered by: Modern content ops strategies

• 📰 Top News: News on AI, no-code, and productivity

• ⚒️Tool Snapshots: Tools for AI, no-code, and productivity

• 🤿Deep Dive: DeepSeek's recent breakthroughs in AI research

• 🖼️AI Art: Examples of great and trending AI art

🤝IN PARTNERSHIP WITH HUBSPOT

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🤿 DEEP DIVE

OpenAI to Debut Standalone Audio Device with Next-Gen Voice Model in 2026

Intelligence: OpenAI intends to embed its cutting-edge speech-to-text and text-to-speech models into a standalone hardware device due in 2026, expanding its AI voice tools from APIs to dedicated gadgets.

• Court filings show the prototype device, internally developed by OpenAI’s consumer hardware group under Jony Ive, is not a wearable or in-ear gadget and is slated for release in 2026 (The Verge).

• The forthcoming device will utilize GPT-4o-based audio capabilities, featuring gpt-4o-transcribe with improved word error rates and gpt-4o-mini-tts for steerable synthetic voices.

• Availability of the new audio models via API since March 2025 marked a strategic shift toward voice agent integration across platforms.

• The standalone gadget aims to rival existing voice-first products by offering always-on listening and low-latency, real-time interactions outside traditional screens.

• Collaboration between Sam Altman and Jony Ive underscores OpenAI’s focus on user-centric design, balancing technological sophistication with intuitive hardware.

🤝POWERED BY COACTIVE

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📰 TOP NEWS

News on AI, no-code, automation, and productivity

🎨 ChatGPT now includes tone and theme sliders so you can tweak its warmth, colors and personality on the fly.

🎬 AI transforms One Punch Man's Saitama vs Genos into a cinematic live-action fight.

🚀 Google Research introduced Nested Learning to finally tackle catastrophic forgetting, making 2026 the year ML models learn continuously.

🗺️ Epoch AI’s interactive datacenter map exposes America’s hidden, power-hungry server farms.

🎥 The new SVI 2.0 Pro enables infinite video generation with seamless transitions, revolutionizing content creation.

🤖 China is set to deploy humanoid robots for border surveillance and logistics, enhancing security and efficiency at crossings. Read more

⚒️ TOOL SNAPSHOTS

Futuristic tools within AI, no-code, and productivity

• ⏰ Mom Clock - Like a strict mom forcing action, blocking distractions. Free option available.

• 🎨 Creaibo - Boosts creative efficiency while preserving your unique style. Free option available.

• 🌐 Foundire - Streamlining global talent acquisition with AI-guided interviews. Payment required.

• 🖼️ Qwen-Image-2512 - Unparalleled photorealism in open-source text-to-image generation. Free to try.

• 🖱️ Its Hover - Bring life to your website with animated icons. Free to use.

🤿 DEEP DIVE

DeepSeek Unveils mHC Architecture to Enhance Model Stability and Scalability

Intelligence: DeepSeek’s new mHC: Manifold-Constrained Hyper-Connections framework restores the identity mapping property in residual connections, enabling more stable and cost-effective training of large-scale language models.

• DeepSeek’s Manifold-Constrained Hyper-Connections approach projects Hyper-Connection matrices onto a doubly stochastic manifold via the Sinkhorn-Knopp algorithm, ensuring convex feature propagation and preventing signal vanishing or explosion.

• The publication highlights superior scalability through infrastructure optimizations—including kernel fusion, mixed-precision kernels, and activation recomputation—to manage memory overhead without sacrificing throughput.

• Earlier this month, DeepSeek detailed ESS: An Offload-Centric Latent-Cache Management Architecture for V3.2-Exp, which boosts Decode-stage throughput by up to 123 percent at 128K context length by selectively offloading latent cache to CPU memory.

• DeepSeek’s emphasis on foundational research over consumer features has driven rapid advances in model stability, long-context performance, and training efficiency, distinguishing it from labs focused on chatbot user engagement.

🖼️ AI ART

Examples of great and trending AI art

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ℹ️ ABOUT US

The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.

We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.

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