“Microsoft's CEO highlighted the importance of AI delivering practical value.”

“Native speech-to-speech (no ASR → LLM → TTS pipeline)”

“Deep discounts, vast data and bespoke AI agents fuel new challenge in China's multibillion-dollar enterprise market”

“Chroma achieves sub-second end-to-end latency through an interleaved text-audio token schedule (1:2) that supports streaming generation, while maintaining high-quality personalized voice synthesis across multi-turn conversations.”

“Producing digital advertising at global scale has become less about one standout campaign and more about volume, speed, and consistency.”

““Now, it feels like I’m talking to a know it all ass off a colleague who reveals how stupid they are the longer they keep talking. Plus, OpenAI seems to have broken the memory system, even if you’re chatting within a project. It constantly speaks as though you’ve just met and you’ve never spoken before.””

“Our method updates a small, targeted subset of parameters during inference using only the incoming utterance, requiring no source data or labels.”

“SLMs struggle to follow the required style when the instruction is placed in system messages rather than user messages, which contradicts the intended function of system prompts.”

“The GoT framework structures streaming predictions as an evolving graph, enabling a multimodal transformer to forecast the next speech act, generate concise justifications for its decisions, and dynamically refine its reasoning.”

“一人だったら絶対に言わなかった違和感やズレへの指摘を、皮肉や風刺、たまに煽りの形でインターネットに投げるようになった。”

“WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research project that changed biology and chemistry forever.”

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“The article likely details the dataset's creation process, its characteristics (size, speakers, recording quality), and potentially benchmark results using the dataset for ASR tasks. Further analysis would require reading the full text.”

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“The research focuses on multi-turn evaluation of spoken dialogue systems.”

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“The article focuses on three...”

“The article's context revolves around rethinking physics-informed regression.”

“The research uses non-invasive EEG to decode spoken and imagined speech.”

“The paper likely discusses methods, trends, and challenges.”

“The article's focus is on utilizing embedding techniques to translate and align sign language.”

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“Without the full text, a specific quote cannot be provided. However, the paper likely includes technical details about the LLM architecture used, the speech processing pipeline, and evaluation metrics.”

“MAC-SLU is a benchmark for Multi-Intent Automotive Cabin Spoken Language Understanding.”

“The article likely explores the impact of linguistic diversity on ASR performance in a healthcare setting, highlighting the need for inclusive and equitable AI solutions.”

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“Distributional semantics predicts the word-specific tone signatures of monosyllabic words in conversational Taiwan Mandarin.”

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“DenseAnnotate enables scalable dense caption collection.”

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“The paper focuses on spoken dialogue models enhanced by audio-visual input.”

“Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust alternative to prompting, and how it can improve multi-step tool use capabilities.”

“I built a bot that plays Pokémon FireRed. It can explore, battle, and respond to game events. Farthest I made it was Viridian Forest. I paused development a couple months ago, but given the launch of ClaudePlaysPokemon, decided to open source!”

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“Jordan explains how Standard AI uses machine learning to track products and customers in challenging retail environments”

“Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on Brain-inspired hardware and algorithm co-design for low power online training on the edge.”

“Hima spoke on Understanding the Perils of Black Box Explanations.”

“Richard Dawkins is an evolutionary biologist, and author of The Selfish Gene...”

“François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks.”

“In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application of Riemannian geometry, which is the study of curved surfaces, to ML.”

“Stefano and I spoke about a wide range of topics, including the relationship between fundamental and applied machine learning research, incorporating domain knowledge in machine learning models, dimensionality reduction, and his interest in applying ML & AI to addressing sustainability issues such as poverty, food security and the environment.”