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OpenAI Intros GPT-Live Models

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Overview
 · 4h
OpenAI Intros GPT-Live Models: What Does That Mean?
OpenAI has unveiled new GPT-Live models, introducing "continual interaction" and "full-duplex architecture" for more natural AI conversations.

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 · 1d · on MSN
OpenAI unveils GPT-Live voice models to power ChatGPT
 · 21h · on MSN
OpenAI's new GPT-Live-1 voice model won't interrupt you - why that's a big deal
 · 5h
OpenAI wants its new tool to do your work for you and with you
With today’s release of ChatGPT Work, OpenAI says it has solved that problem with a new tool that can “stay with a project for hours if needed, and turn a goal into finished work.”

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 · 9h
OpenAI rolls out GPT-5.6 after government green light — and announces ‘ChatGPT Work’
 · 3h
The announcement comes as OpenAI broadens access to its new GPT-5.6 family of models.
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New transformer architecture can make language models faster and resource-efficient

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to significant cost reductions. To address this issue ...
Geeky Gadgets
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How Liquid Foundation Models Are Transforming AI Architecture

Liquid AI has introduced a new generative AI architecture that departs from the traditional Transformers model. Known as Liquid Foundation Models, this approach aims to reshape the field of artificial intelligence by offering a novel perspective on model ...
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Apple Reveals New AI Architecture Built Around Google Gemini Models

Apple today announced a major overhaul of its Apple Intelligence platform, revealing a new architecture built on foundation models developed in collaboration with Google using the technologies behind the Gemini family.
VentureBeat
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New AI architecture delivers 100x faster reasoning than LLMs with just 1,000 training examples

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all while being significantly smaller and more data-efficient.
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