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AntTech

Oct 15, 2026 · Artificial Intelligence

Ling-3.1-flash Open-Sourced: 560B MoE Runs on 4 GPUs, 210 tok/s, $0.19/M Tokens

Ant Group's Bailin team open-sources Ling-3.1-flash, a 560B-parameter mixture-of-experts model that activates 25B parameters per token, supports 1M context, and achieves 210 tokens/sec output speed with an intelligence index of 41 on Artificial Analysis, while quantization reduces weight from 534GB to 292GB enabling deployment on 4 Hopper GPUs instead of 8.

GPU InferenceLing-3.1-flashMixture of Experts

0 likes · 11 min read

Ling-3.1-flash Open-Sourced: 560B MoE Runs on 4 GPUs, 210 tok/s, $0.19/M Tokens

AntTech

Oct 14, 2026 · Artificial Intelligence

From Voiceprint to Iris: How AI Glasses Enable Silent 'Glance-to-Pay' Authentication

Ant Group's GPASS iris recognition solution on the Qianwen N1Pro AI glasses replaces voiceprint authentication with silent, high-security iris scanning, achieving sub-million false acceptance rates through a miniaturized NIR camera module, TEE-based secure execution, multi-layer risk control, and novel algorithms for off-axis imaging and liveness detection.

AI glassesGPASSTEE

0 likes · 9 min read

From Voiceprint to Iris: How AI Glasses Enable Silent 'Glance-to-Pay' Authentication

AntTech

Sep 29, 2026 · Industry Insights

Token Efficiency: Key Variable for Green Computing in the AI Era

Ant Group and CAICT's joint report defines token efficiency across four dimensions—intelligence output, economics, experience, and energy-carbon—and proposes a four-layer technical framework from model to application layers, validated by SME and medical case studies showing 2-4x cost reduction and 4.5x efficiency gains, plus a five-dimensional measurement system for quantifiable green computing.

AI Energy ConsumptionCarbon EmissionsIndustry Report

0 likes · 14 min read

Token Efficiency: Key Variable for Green Computing in the AI Era

AntTech

Sep 15, 2026 · Artificial Intelligence

SingProbe: Endogenous LLM Guardrails Cut Overhead to 0.5% While Matching External Baselines

SingProbe introduces endogenous runtime guardrails that integrate risk detection directly into LLM inference by reusing hidden states, achieving comparable safety and hallucination detection to external guardrails while adding less than 0.5% decode overhead across 29 open-source models.

LLM guardrailsSGLangSingProbe

0 likes · 25 min read

SingProbe: Endogenous LLM Guardrails Cut Overhead to 0.5% While Matching External Baselines

AntTech

Sep 4, 2026 · Databases

OmniTable: One Logical Table Manages 305B Records Across 35PB for LLM Training

Ant Group's OmniTable system, awarded VLDB 2026 Best Industrial Paper, uses a unified logical wide table to manage 35PB and 305B records for LLM training, reducing end-to-end data preparation from 14 days to 2.5 days via logical-physical separation, feature dependency DAGs, record-level fault tolerance, and operator fusion.

LLM data curationOmniTableOperator Fusion

0 likes · 18 min read

OmniTable: One Logical Table Manages 305B Records Across 35PB for LLM Training

AntTech

Sep 2, 2026 · Artificial Intelligence

ECCV 2026 Paper Showcase: Breaking Vision Perception & Prediction Boundaries

This article summarizes four ECCV 2026 papers: a dynamic cross-layer injection framework for deep vision-language fusion, an event-augmented VLA model enabling robot operation in extreme darkness and blur, a predictive differentiable rendering method using 2D Gaussians for high-fidelity video prediction, and a data-scaling approach for high-resolution weather forecasting that demonstrates clear scaling laws.

Data ScalingECCV 2026Embodied AI

0 likes · 10 min read

ECCV 2026 Paper Showcase: Breaking Vision Perception & Prediction Boundaries

AntTech

Aug 20, 2026 · Artificial Intelligence

Ling-3.0-flash: Open-Source LLM Designed for Real-World Deployment

Ling-3.0-flash is a newly open‑sourced 124B‑parameter MoE model that offers multiple quantized versions, API, single‑machine private deployment, and high‑performance GPU inference exceeding 1100 tokens/s, with detailed benchmarks, optimization techniques, and real‑world use‑case analyses for agents, coding, and sensitive data processing.

Agent applicationsLLMLing-3.0-flash

0 likes · 15 min read

Ling-3.0-flash: Open-Source LLM Designed for Real-World Deployment

AntTech

Aug 12, 2026 · Artificial Intelligence

Live #44: Multi‑Agent Automation of Rust Code Verification & 30× Storage Reduction for User Representations

This live session reviews four KDD 2026 papers that introduce a multi‑agent framework for industrial Rust code verification, a unified quantized tokenizer that cuts user representation storage by 30×, a query‑anchored LLM approach for scenario‑adaptive user modeling, and the HIVE ensemble method for efficient out‑of‑distribution generalization, each validated with extensive experiments and real‑world deployments.

Multi-Agent SystemsOut-of-DistributionRust

0 likes · 9 min read

Live #44: Multi‑Agent Automation of Rust Code Verification & 30× Storage Reduction for User Representations

AntTech

Jul 28, 2026 · Artificial Intelligence

Predicting ML Solution Quality Without Execution: LLMs Achieve 61.5% Accuracy (ACL 2026 Highlight)

A joint study by Zhejiang University and Ant Group shows that large language models can forecast the effectiveness of machine‑learning pipelines without executing them, reaching 61.5% prediction accuracy, cutting search time by sixfold and improving final performance by 6%.

ACL 2026ForeAgentLLM

0 likes · 3 min read

Predicting ML Solution Quality Without Execution: LLMs Achieve 61.5% Accuracy (ACL 2026 Highlight)

AntTech

Jul 28, 2026 · Artificial Intelligence

Introducing PIBench: A Payment‑Scenario Benchmark for AI Coding Agents

PIBench, an open‑source benchmark from Alipay’s AI payment team, defines 459 rubric items across 9 payment products and 9 real‑world projects to evaluate AI coding agents’ ability to integrate secure payment flows, covering basic functionality and advanced risk‑handling, with detailed experimental results showing significant model gaps and the impact of structured skill guidance.

AI coding agentsAlipayLLM evaluation

0 likes · 14 min read

Introducing PIBench: A Payment‑Scenario Benchmark for AI Coding Agents