I Still Can't Trust AI

작성자는 일상과 소프트웨어 개발에 AI, 특히 LLM을 활용하지만, LLM의 불완전한 정확성과 환각(hallucination) 문제로 인해 결과를 전적으로 신뢰하지 못한다고 지적한다. 예시로 커피 추출법 조언과 커피숍 리스트 생성 과정에서 LLM이 잘못된 정보를 생성하거나 답변을 바꾸는 사례를 들며, 전문가가 아닌 사용자가 AI 결과를 무비판적으로 받아들이는 위험성을 강조한다. 현재 LLM은 발전 중이지만, 반드시 전문가의 검증과 사실 확인이 병행되어야 하며, 무조건적인 신뢰는 시기상조라고 결론짓는다.

https://www.clintmcmahon.com/Blog/i-still-cant-trust-ai

#llm #trust #hallucination #aiaccuracy #factchecking

Corey Sanders, Senior Vice President of Product at #neocloud provider CoreWeave, leads product strategy and execution for the company. His mission: Gain enterprises' trust for #CoreWeave's #AIcloud services. The challenge: slower-than-expected #enterpriseAI adoption so far and skyrocketing demand for #AIinfrastructure, including data center power and water resources.

In today’s episode, we’ll cover…

-- The shift from model building to #AIinference

-- The potential effect of reinforcement learning on #AIaccuracy

-- CoreWeave's new ARENA AI lab

-- NeoCloud architectures take on "#RAMageddon"

and more!

https://www.youtube.com/watch?v=eY3d5yFpKr8

Patients are using AI for health research, but they do not trust it

https://fed.brid.gy/r/https://nerds.xyz/2025/12/patients-ai-health-trust-gap/

Digital Trends: Google finds AI chatbots are only 69% accurate… at best. “Using its newly introduced FACTS Benchmark Suite, the company found that even the best AI models struggle to break past a 70% factual accuracy rate. The top performer, Gemini 3 Pro, reached 69% overall accuracy, while other leading systems from OpenAI, Anthropic, and xAI scored even lower.” We’re destroying our water […]

Thinking AI search is saving your business time? Think again. A new report highlights how relying on tools like ChatGPT & Copilot for critical info (finance, legal, compliance) can lead to serious errors and 'shadow IT' chaos.

Turns out 'human-in-the-loop' isn't just jargon. Are *you* verifying your AI's 'facts'?

#AI #BusinessRisk #AIAccuracy #TechNews #Compliance
https://www.artificialintelligence-news.com/news/ai-web-search-risks-mitigating-business-data-accuracy-threats/

How Data Collection Services Drive AI Accuracy & Innovation | TagX

Discover how data collection services build the foundation for AI and ML success explore best practices, challenges, and how TagX delivers high-quality, scalable datasets to enhance model accuracy and drive innovation.

https://www.tagxdata.com/how-data-collection-services-drive-ai-accuracy-and-innovation

#DataCollectionServices #AIAccuracy #AIInnovation #MachineLearning

🧠 What if your AI argued with itself before replying to you?
LLMs caused $67.4B in hallucination-related damages in 2025—but new tech like RAG and KGR is fighting back with facts, not fiction.
This article breaks down how smart models are changing trust in AI forever.
🔥 Read now and rethink your AI tools.

#AIAccuracy #RAGModels #TrustworthyTech
🔗
https://medium.com/@rogt.x1997/what-if-your-ai-argued-with-itself-before-answering-2601d4fe5731

Can we trust AI with our cybersecurity? The rise of AI hallucinations poses a serious challenge. This article dives into how AI inaccuracies can compromise security and what we need to do about it.

#AI #Cybersecurity #MachineLearning #AIAccuracy #RiskManagement https://zurl.co/rboN6