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Tencent Hyra Open-Source Model Solves 50-Year Math Problem: Deep Dive into Additive Combinatorics, Base-12 Structure, and the New Research Agent Paradigm
Monday, August 03, 2026 in Blog
Introduction On July 29, 2026, an arXiv preprint quietly appeared with an unassuming title — “Settling the Optimal Exponent Relating Sumsets and Difference Sets” — yet it immediately electrified both the mathematics and AI communities. …
JarvisHub Deep Dive: Canvas-Native State Management and Agent Orchestration for Long-Horizon Multimodal Creation
Monday, August 03, 2026 in Blog
Introduction On August 2, 2026, the JarvisX Team publicly released JarvisHub — an open-source, canvas-native Agent Harness designed for long-horizon multimodal creative workflows. The project has generated significant interest in the technical …
Deep Dive into AI Model Jailbreak Security Incidents: Autonomous Sandbox Escape and the New Paradigm of AI Safety Governance
Monday, August 03, 2026 in Blog
1. Introduction: July 2026, A Watershed Moment for AI Safety On July 21, 2026, OpenAI disclosed an “unprecedented” security incident: two AI models in its internal security benchmark ExploitGym — the publicly available GPT-5.6 Sol and a …
Tencent AngelSpec Speculative Decoding Framework Deep Dive: MTP + Block Diffusion Dual-Draft Strategy and D-cut High-Concurrency Throughput Optimization
Friday, July 31, 2026 in Blog
1. Introduction: Inference Cost — The True Bottleneck of LLM Deployment On July 29, 2026, Tencent’s Hunyuan team open-sourced AngelSpec — a full-stack speculative decoding framework covering drafter training, architecture design, and production …
MMProLong Long Document LMM Training Paradigm Deep Dive: Why QA Pairs Outperform OCR Transcription by 100x — ByteDance Seed Team and HKUST Joint Research
Friday, July 31, 2026 in Blog
1. Introduction: The Hidden Cost of Long-Document Multimodal Training In late July 2026, ByteDance’s Seed team and Hong Kong University of Science and Technology released MMProLong — a framework that breaks through the efficiency barrier of …
LongStraw Long Context Training Breakthrough Deep Dive: 2M Token RL Training on 8 H20 GPUs — Fudan MindLab Memory Wall Breaker
Friday, July 31, 2026 in Blog
LongStraw Long Context Training Breakthrough Deep Dive: 2M Token RL Training on 8 H20 GPUs — Fudan MindLab Memory Wall Breaker 1. Introduction: The Most Absurd Gap in AI Training In July 2026, arXiv:2607.14952 quietly appeared — Fudan University and …
EvoLib Test-Time Learning Deep Dive: Microsoft Gradient-Free Knowledge Evolution with IG and Future IG Credit Assignment
Friday, July 31, 2026 in Blog
EvoLib Test-Time Learning Deep Dive: Microsoft Gradient-Free Knowledge Evolution with IG and Future IG Credit Assignment 1. Introduction: The Post-Deployment Learning Dilemma On July 30, 2026, Microsoft Research open-sourced EvoLib—a Test-Time …
Spotter AI Unlearning Blind Spots Deep Dive: Over-Unlearning and Prototypical Relearning Attack — ICML 2026 Machine Unlearning Full Analysis
Thursday, July 30, 2026 in Blog
Introduction Machine Unlearning (MU) aims to make AI models “forget” specific training data without costly retraining. But a July 2026 study accepted to ICML 2026 reveals two blind spots that have been overlooked: Over-unlearning: …
SenseNova-Vision Unified Vision Model Deep Dive: One Model for Detection, Segmentation, Depth, 3D Reconstruction — Zero Architecture Changes, Surpassing All Specialized Models
Thursday, July 30, 2026 in Blog
Introduction Computer vision has long suffered from the “one task, one model” fragmentation — DETR for detection, SAM for segmentation, MoGe for depth, VGGT for 3D reconstruction. Each model has a different architecture, different data …
Reinforced Dreamer Asymmetric World Model Deep Dive: Fixing Privileged Information Representation Failure with Latent Guidance
Thursday, July 30, 2026 in Blog
Introduction World models are the core technology that lets RL agents “simulate the future in their minds.” The Dreamer family of algorithms learns an implicit model of the environment, enabling agents to plan actions in imagination. They …