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DeepSeek shares new research that could make AI models cheaper and more stable.
OpenAI is also gearing up for smarter voice AI as it prepares a new voice-first device.
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DAILY UPDATE

DeepSeek shared new research that hints at cheaper and more stable AI models.
DeepSeek released a new paper showing a fresh way to design neural networks that can cut costs and improve training stability. The work may point to big gains in its next major AI release.
The paper introduces mHC, a method that makes large AI training more stable with very little extra compute cost.
CEO Liang Wenfeng helped write the paper and uploaded it himself, showing strong personal involvement in the research.
Tests on 3B, 9B, and 27B models showed better results, especially on reasoning tasks.
This shows DeepSeek is still finding ways to build stronger AI at lower cost. After the success of R1, this research suggests future models could be even more efficient. With better chip access and steady research progress, Chinaβs AI models could become far more competitive by 2026.
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SOCIAL MEDIA
TODAYβS HIGHLIGHT

OpenAI is reshaping its teams to build better voice AI for a new device coming soon.
OpenAI is bringing several teams together to improve its audio AI, as it prepares for a voice-first personal device designed by Jony Iveβs team, expected in about a year.
OpenAIβs voice models are still slower and less accurate than text-based ChatGPT, which pushed the company to reorganize its teams.
A new upgraded voice model planned for early 2026 will let users speak while the AI is talking, making conversations feel more natural and smooth.
The first hardware device is still about a year away and will focus on voice over screens, with ideas like smart glasses and a smart speaker also explored.
This move shows OpenAI is serious about going beyond software and into real-world devices. With Jony Iveβs design leadership and a focus on avoiding phone addiction, the project has strong attention.
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