
AI Managers Lead Retail Stores with 'Dumb' but Kind Approach
Two stores are testing AI managers, finding their algorithmic leadership is polite but sometimes lacks nuanced judgment.

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New framework aims to unlock more sophisticated AI problem-solving by enhancing large language model capabilities.

A new analysis of 86 popular GitHub repositories reveals a significant gap between the 'multi-agent' label and actual implementation.

This new agent automates tracking city improvements, bike lanes, and school issues, turning a seven-step manual process into an automated system.

Two stores are testing AI managers, finding their algorithmic leadership is polite but sometimes lacks nuanced judgment.

Global sites must now align with market-specific AI search signals, not just language.

Advertised token limits are deceptive; models miss data in the middle of long inputs, not just at the end.

DeepSeek V4 Flash 0731 emerges as a powerful, accessible alternative in the rapidly evolving open-source LLM landscape, boasting impressive performance metrics.
The debate over whether we've achieved Artificial General Intelligence hinges on definitions, not just capabilities.

Clinicians and researchers demand transparency from AI firms to prevent future harms to vulnerable users.

TikTok's parent company is reportedly developing a massive AI model, signaling its intent to compete directly with leading AI labs.

Agent plugins integrate external tools and services directly into AI coding assistants, enabling complex tasks without leaving the IDE.

A single choice in model evaluation inflated a fall detection system's performance by 25 points, revealing critical flaws in how we measure ML reliability.

For many focused applications, smaller, fine-tuned LLMs offer superior performance and cost-efficiency over massive models.