AI leader Andrej Karpathy is encouraging people to try Inception Labs’ Mercury, a commercially available diffusion model for text generation, reports TNS Publisher Alex Williams. Andrej said Mercury has the potential to be different than mainstream large language models (LLM)s like ChatGPT and Claude, which are trained autoregressively. Alex looks at how Mercury differs and what the difference means.
In other technology topics we’re covering today:
IBM acquired Confluent for $11 billion to secure a leading real-time data streaming platform built around Apache Kafka, reports TNS Senior Editor Joab Jackson. He explains the urgent need this move addresses for IBM.
Achieving an ROI from AI agent requires carefully choosing use cases based on high volume and low risk, and designing clear agent roles, according to Mark Talbot, who leads Appian’s Customer Success AI group. In today’s contributed post, Mark outlines a five-step process for unlocking success with enterprise agentic AI projects.
The latest version of Kubernetes includes dynamic resource allocation, and a forthcoming workload abstraction could transform multinode AI deployments.
"As a low-level systems engineer, if you do your job right, no one knows you exist — but the minute you do your job wrong, everybody knows you exist."
That observation from Nvidia Distinguished Engineer Kevin Klues underlines why the Kubernetes open source community has been quietly building foundational features and abstractions that will shape...
Andela is an AI-native data & services platform — powering AI transformation. Driven by always-on assessments and continuous learning, Andela enables precision team assembly, AI solution delivery, and large-scale reskilling of internal teams.
In this webinar, GE HealthCare and Spectro Cloud joined TNS to explore how GE HealthCare leverages cloud native and edge technologies to improve care for 1 billion patients. The entire session is now available on-demand!
Must-Read: An Observability Veteran on AI’s ‘Intoxicating’ Potential
Generative AI is transforming software observability, moving beyond static dashboards to conversational troubleshooting and intelligent telemetry analysis.