Tencent
tencent-1496e69e·4 events·first seen 16d agoAliases: Tencent
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UniAudio-Token: Semantic Speech Tokenizer with General Audio Perception for Audio-LLMs
UniAudio-Token is a framework from Tencent that extends semantic speech tokenizers—commonly used as interfaces for Audio-LLMs—to support general audio perception without sacrificing speech quality. It introduces two mechanisms: Semantic-Acoustic Primitives (SAP) for structured supervision decomposing audio into linguistic, vocal, and auditory-scene components, and Semantic-Acoustic Equilibrium (SAE), a content-aware gating mechanism that restores fine-grained acoustic details from shallow layers. Evaluations show it outperforms all single-codebook baseline tokenizers on both understanding and generation tasks when integrated with downstream LLMs. Code, training/inference scripts, and model checkpoints are publicly released.
Data Points: OpenAI shuts down Sora, Anthropic multi-agent harness, EVA voice benchmark, Arm AGI CPU, White House AI preemption proposal
OpenAI is shutting down its Sora text-to-video platform without explanation, ending a major Disney licensing deal worth up to $1 billion and eliminating video capabilities from ChatGPT amid Hollywood copyright tensions. Anthropic published details on a multi-agent harness enabling Claude to build full-stack applications over multi-hour sessions using a planner-generator-evaluator architecture. ServiceNow AI Research released EVA, an open-source two-dimensional benchmark for voice agents measuring both task accuracy and conversational experience quality. Additional items cover Arm's first self-designed data center CPU (AGI CPU) co-developed with Meta, and the Trump Administration's legislative proposal for a federal AI framework that would preempt state AI laws.
ByteDance Deploys Seedance 2.0 Video Model to CapCut's 736M Users as OpenAI Shutters Sora
ByteDance has integrated Seedance 2.0, its multimodal video generation model, into CapCut for paying users across multiple global regions, reaching a platform with approximately 736 million monthly active users. The model supports text, image, audio, and video inputs, generates synchronized audio-video output in a single pass including multi-shot sequences, and ranks in the top two on Arena AI and Artificial Analysis video leaderboards, with Alibaba's HappyHorse-1.0 as its closest competitor. Simultaneously, OpenAI is discontinuing the Sora app and API after daily active users fell below 500,000 and operating costs reached an estimated $1 million per day. The contrast illustrates a broader market shift where Chinese developers are accelerating video model releases while U.S. consumer video products retreat.
Study finds thinking mode in LRMs shifts instruction-following errors by constraint type rather than uniformly degrading performance
A new arXiv paper investigates how enabling built-in chain-of-thought reasoning ('Thinking ON/OFF') in Qwen3 and Hunyuan models affects instruction following on IFEval. Aggregate pass-rate changes are small but 10-20% of prompts switch outcomes, with 'Planning' constraints (global counting, structure) improving under thinking while 'Precision' constraints (exact local form) consistently worsen. Activation patching and trace-relevance analyses reveal an execution gap: thinking traces engage with Planning constraints but fail to translate that engagement into compliance, while Precision failures are more mechanistically recoverable. The findings have practical implications for when to enable reasoning modes in instruction-following applications.