📄 文章列表

413 篇文章
TDS

The AI Model Confidence Trap

✅ completed ⭐ ★★★★★★ 2026-05-26
TDS

Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model

✅ completed ⭐ ★★★★★★ 2026-05-27
TDS

The Infrastructure Behind Making Local LLM Agents Actually Useful

✅ completed ⭐ ★★★★★★ 2026-05-28
TDS

Code Is Cheap. Engineering Judgement Is Now the Scarce Resource

✅ completed ⭐ ★★★★★★ 2026-06-02
TDS

Who Will Win the 2026 Soccer World Cup?

✅ completed ⭐ ★★★★★★ 2026-06-06
TDS

We Should Train AI to Betray Its Users

✅ completed ⭐ ★★★★★★ 2026-06-07
TDS

How to Keep Quantum Information Alive for Machine Learning

✅ completed ⭐ ★★★★★★ 2026-06-08
TDS

Can Machine Learning Predict the World Cup?

✅ completed ⭐ ★★★★★★ 2026-06-09
TDS

How to Train a Scoring Model in the Age of Artificial Intelligence

✅ completed ⭐ ★★★★★★ 2026-06-10
TDS

When GPU Utilization Lies: The Hidden Systems Problem Slowing Modern AI

✅ completed ⭐ ★★★★★★ 2026-06-11
TDS

BI Is Dead, Long Live BI

✅ completed ⭐ ★★★★★★ 2026-06-11
TDS

The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem

✅ completed ⭐ ★★★★★★ 2026-06-15
TDS

I Built 11 Models to Predict the 2026 World Cup. They Crown Four Different Champions.

✅ completed ⭐ ★★★★★★ 2026-06-15
TDS

Drilling Into AI’s Financial Sustainability

✅ completed ⭐ ★★★★★★ 2026-06-16
TDS

Materialized Lake Views in Microsoft Fabric: When Your Medallion Fits in a SELECT Statement

✅ completed ⭐ ★★★★★★ 2026-06-20
VentureBeat

Writer Launches Ai Agents That Can Act Without Prompts Taking On Amazon Microsoft And Salesforce

✅ completed ⭐ ★★★★★★ 2026-06-23
VentureBeat

When Enterprise Systems Act On Live Data Execution Becomes Continuous Marketing Is The First Proof

✅ completed ⭐ ★★★★★★ 2026-06-23
VentureBeat

Scaling Ai Into Production Is Forcing A Rethink Of Enterprise Infrastructure

✅ completed ⭐ ★★★★★★ 2026-06-23
VentureBeat

Why Ai Breaks Without Context And How To Fix It

✅ completed ⭐ ★★★★★★ 2026-06-23
VentureBeat

Anthropic Introduces Dreaming A System That Lets Ai Agents Learn From Their Own Mistakes

✅ completed ⭐ ★★★★★★ 2026-06-23