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Are AI Agents Ready for the Workplace in 2026? New Benchmark Raises Serious Doubts

Intelligent Software for AI Corp., Juan A. Meza

Are AI Agents Ready for the Workplace in 2026? New Benchmark Raises Serious Doubts

New benchmark testing shows AI agents struggle with actual workplace tasks from consulting, banking, and law—most models failed.

AI Agents AI Benchmarks AI News AI Research Enterprise AI Financial Services Workplace Technology

Jan 23, 2026 Our blog

Researchers Develop Zero-Training Method to Detect AI Model Drift in Real-Time Social Media Sentiment Analysis (2025)

Intelligent Software for AI Corp., Juan A. Meza

Researchers Develop Zero-Training Method to Detect AI Model Drift in Real-Time Social Media Sentiment Analysis (2025)

Breakthrough method allows transformer sentiment models to detect temporal drift on social media without additional training data

AI Research Machine Learning Model Monitoring Natural Language Processing Sentiment Analysis Social Media AI Transformer Models

Dec 25, 2025

New S³IT Benchmark Tests AI's Spatial and Social Intelligence in Real-World Scenarios

Intelligent Software for AI Corp., Juan A. Meza

New S³IT Benchmark Tests AI's Spatial and Social Intelligence in Real-World Scenarios

Researchers introduce S³IT benchmark to test AI systems on integrated spatial reasoning and social intelligence in real-world scenarios

AI Benchmarks AI News AI Research Autonomous Systems Robotics Social Intelligence

Dec 24, 2025

Mathematical Proof as a Litmus Test: New Research Reveals Hidden Failure Modes in Advanced AI Reasoning Models (2025)

Intelligent Software for AI Corp., Juan A. Meza

Mathematical Proof as a Litmus Test: New Research Reveals Hidden Failure Modes in Advanced AI Reasoning Models (2025)

Study reveals hidden weaknesses in AI reasoning models like R1 and o3 using mathematical proofs as evaluation litmus test

AI Evaluation AI News AI Research AI Safety Benchmarking Large Language Models Mathematical Reasoning

Dec 10, 2025

New Neural Framework Exposes Critical Compositional Gap in AI Reasoning: 97.5% Accurate Task Taxonomy Reveals Transformer Limitations

Intelligent Software for AI Corp., Juan A. Meza

New Neural Framework Exposes Critical Compositional Gap in AI Reasoning: 97.5% Accurate Task Taxonomy Reveals Transformer Limitations

Researchers expose fundamental compositional reasoning gaps in AI transformers through validated task taxonomy framework

AI Benchmarks AI News AI Research Abstract Reasoning Machine Learning Transformer Models

Dec 9, 2025