EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models

How Indegene is modernizing and scaling enterprise data quality in life sciences

This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS.

15h ago ·aws.amazon.com

TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing

Strong single-turn editing performance does not guarantee reliable multi-turn interaction: as edited outputs are repeatedly reused, small unintended changes can accumulate into severe visual drift.

15h ago ·arxiv.org

OpenAI Expands AI Engineering Tests From Devices to Vehicles

OpenAI tests AI for hardware design and vehicle engineering. Explore manufacturing limits and what businesses should check before adopting these tools.

15h ago ·techrepublic.com

What it's like to lose your job to AI

"It's ultimately going to be self defeating," says a business development specialist made redundant because AI was taking over her role.

15h ago ·rnz.co.nz

Four layers of context engineering for production AI agents: How Deep Insight applies them in working code

In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents)…

• Deep Insight employs a four-layer context engineering system to manage AI agent context.
• Layer 1 isolates context using multi-agent architecture with specialized agents.
• Coder agent uses only 25K tokens, minimizing context depletion.

15h ago ·aws.amazon.com