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The Year of Physical AI: NVIDIA Cosmos 3 and Figure 03 Ignite the Intelligence Revolution
Wednesday, June 17, 2026 in Blog
Abstract: On June 1, 2026, at GTC Taipei, NVIDIA CEO Jensen Huang unveiled three Physical AI nuclear weapons in rapid succession — Cosmos 3 omnimodal world model, Alpamayo 2 Super reasoning VLA, and AlpaGym closed-loop reinforcement learning …
Integration and Alignment of Multimodal AI: Cross-Modal Understanding from Text-Image to Video-Audio
Tuesday, June 16, 2026 in Blog
Background In 2023, the release of GPT-4V marked a new era for multimodal AI. This model can not only understand text but also “see” images, comprehend spatial relationships, object attributes, and even recognize handwritten notes. …
Breakthrough in Reasoning Capabilities of Large Language Models (LLMs): Chain-of-Thought and Self-Consistency
Tuesday, June 16, 2026 in Blog
From Memory to Reasoning: How Chain-of-Thought and Self-Consistency Reshape LLM Reasoning Capabilities Background Introduction The Reasoning Dilemma of Large Language Models Since the launch of ChatGPT at the end of 2022, large language models (LLMs) …
The Ultimate Challenge of Long Context Windows: Optimizing Inference for Million-Level Tokens
Tuesday, June 16, 2026 in Blog
Background In 2024, the context window race for large language models has entered a white-hot phase. Claude 3.5 supports 200K tokens, Gemini 1.5 Pro surpasses 1M tokens, and some research models have explored the limits of 10M tokens. This capability …
The Rise of Small Language Models (SLMs): A New Paradigm for Edge AI Deployment
Monday, June 15, 2026 in Blog
Light Boat Has Passed Ten Thousand Mountains: Technical Breakthroughs of Small Language Models in Edge AI Deployment Background: The Inevitable Shift from “Big” to “Small” In 2023, the arms race for large language models …
Unified Architecture of Multimodal Large Models: From LLaVA-NeXT to Gemini 2.0
Monday, June 15, 2026 in Blog
Background: Why Unified Multimodal Architecture Is a Must-Have for AI Infrastructure In 2023, when GPT-4V first demonstrated image understanding capabilities, the industry was still immersed in the narrative of “multimodal alignment.” By …
Sapient Intelligence HRM-Text: The $1,500 1B-Parameter Reasoning Revolution
Monday, June 15, 2026 in Blog
On May 18, 2026, Sapient Intelligence released HRM-Text—a 1B-parameter model trained from scratch for approximately $1,500 (16 H100 GPUs, under 2 days) on just 40B tokens. It achieves 56.2 on MATH, 84.5 on GSM8K, and 81.9 on ARC-Challenge—surpassing …
DeepMind's "From AGI to ASI" Roadmap Deep Dive: Four Pathways, Six Bottlenecks, and One Truth
Monday, June 15, 2026 in Blog
On June 10, 2026, Google DeepMind released a landmark 57-page report titled “From AGI to ASI,” led by co-founder Shane Legg and AIXI theory creator Marcus Hutter, with a 14-person elite research team. This is not science fiction—this is …
Efficient Distillation and Edge Deployment Methods for Small Language Models
Sunday, June 14, 2026 in Blog
Efficient Distillation and Edge Deployment of Small Language Models Background With the rapid advancement of deep learning, large language models (LLMs) have achieved remarkable success in natural language processing. However, these models typically …
Breakthrough in Real-Time Video Understanding with Multimodal Reasoning Models
Sunday, June 14, 2026 in Blog
Background Real-time video understanding has long been one of the most challenging topics in artificial intelligence. Traditional computer vision systems primarily adopt frame-level analysis, processing each frame in a video stream independently …