Qwen operates across multiple domains, including qwen.ai and chat.qwen.ai, indicating a robust infrastructure for AI interactions and services. Link to article
Audio is the one area small labs are winning
Gradium and Kyutai are pioneering audio AI with groundbreaking models like Moshi, which is the first full-duplex conversational AI capable of real-time interaction, outperforming larger labs despite limited resources.
Two different tricks for fast LLM inference
OpenAI's fast mode achieves over 1000 tokens per second, making it 15x faster than its previous model, while Anthropic's fast mode offers 2.5x speed, but with the actual Opus 4.6 model, ensuring higher capability despite lower speed.
Towards Autonomous Mathematics Research
Aletheia is an advanced math research agent that autonomously generates, verifies, and revises solutions, demonstrating capabilities from Olympiad problems to PhD-level exercises, powered by Gemini Deep Think and novel inference-time scaling laws.
Expensively Quadratic: The LLM Agent Cost Curve
Cache reads dominate costs in LLM conversations, becoming 87% of total expenses by 50,000 tokens, highlighting the quadratic nature of these costs as conversations progress.
Show HN: Klaw.sh – Kubernetes for AI agents
klaw is an open-source platform designed to deploy and manage AI agents at scale, akin to Kubernetes but focused on intelligent agents capable of coding, researching, and automating tasks.
\[D\] We found 18K+ exposed OpenClaw instances and ~15% of community skills contain malicious instructions
Over 18,000 OpenClaw instances are publicly exposed, with nearly 15% of community skills harboring malicious instructions that can download malware or exfiltrate sensitive data.
Study: Self-generated Agent Skills are useless
SkillsBench evaluates 86 tasks across 11 domains, revealing that curated Skills improve average pass rates by 16.2 percentage points, with significant variability across domains, from +4.5pp in Software Engineering to +51.9pp in Healthcare.
Show HN: Solving Sudoku reasoning via Energy Geometric models
Curvature-Guided Wavefront Execution leverages intrinsic Riemannian curvature for a GPU-accelerated solver, achieving a 1,226× speedup over traditional Python CPU methods, effectively solving the hardest Sudoku puzzles at 270,000 per second.
Chiplets Get Physical: The Days of Mix-and-Match Silicon Draw Nigh
Chiplet technology is evolving, with Cadence introducing a Physical AI Chiplet Platform designed for real-time AI processing in edge applications, marking a significant shift towards modular, mix-and-match silicon solutions.
Show HN: I generated a "stress test" of 200 rare defects from 7 real photos
Generated 200 rare defect variations from 7 real-world samples to enhance model validation for structural inspection, addressing the lack of a reliable "Golden Set" for rare failures.
New SemiAnalysis InferenceX Data Shows NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Costs for Agentic AI
The NVIDIA Blackwell Ultra platform achieves up to 50x better performance and 35x lower costs for agentic AI, driven by advanced hardware and software optimizations that enhance throughput and efficiency.
TRACE: Temporal Reasoning via Agentic Context Evolution for Streaming Electronic Health Records (EHRs)
TRACE enhances temporal clinical reasoning in longitudinal patient trajectories by structuring context without the need for fine-tuning or retrieval augmentation, thus addressing the limitations of existing models.
GRAIL: Geometry-Aware Retrieval-Augmented Inference with LLMs over Hyperbolic Representations of Patient Trajectories
GRAIL enhances next-visit event prediction in clinical settings by utilizing structured geometric representations of electronic health records (EHRs) to improve accuracy and reduce hallucinations in large language models (LLMs).
HyperMLP: An Integrated Perspective for Sequence Modeling
HyperMLP and HyperGLU present a novel perspective on autoregressive attention, framing it as a dynamic two-layer MLP that utilizes context history for weight instantiation, diverging from traditional probabilistic models.