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

🚨 Say goodbye to AI hallucinations! 🚨

Want to learn how to make Large Language Models (LLMs) more accurate and secure? 🧠🔒 Join us for a game-changing session where we’ll show you how graph databases can anchor LLMs in reality and improve results with a vector index. 📊✨

Don’t miss this chance to boost your AI knowledge, cut out false info, and keep data safe! 🔐💡

📅 RSVP now at https://www.javasig.com and get ready for smarter, more reliable AI! #AI #GraphDatabase #LLM #TechTalk #AIaccuracy