Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
7 results for “production AI”
Presentation: Leveraging Adversary Emulation for GenAI Red Teaming
A presentation outlines how to apply adversary emulation techniques—adapted from traditional cybersecurity—to red team generative AI systems, specifically targeting LLMs and knowledge bases deployed on AWS against threats including data poisoning and LLMjacking.
Aug 10, 2026
QCon AI New York 2026: Registration Opens for December 15-16 Production-AI Conference
QCon AI New York 2026, a production-focused AI conference scheduled for December 15–16 at The Westin Jersey City Newport, has opened registration.
Jul 23, 2026
QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals
QCon AI Boston 2026 positioned production AI deployment as shifting from prompt-based experimentation to platformized, secured, and engineered systems — framing this evolution as an industry-wide operational imperative.
Jul 17, 2026
The real AI race may no longer be at the frontier
Hugging Face CEO Clem Delangue argues that enterprise AI adoption is shifting toward open models—not frontier models—driven by cost, accessibility, and ownership concerns, raising questions about the strategic relevance of frontier-model development.
Jul 14, 2026
Migrating a production AI agent to GPT-5.6: 2.2x faster, 27% cheaper
A forum post on Hacker News claims a production AI agent was migrated to a non-existent model 'GPT-5.6', reporting performance and cost improvements — but no verifiable evidence, source, or technical details are provided.
Jul 13, 2026
InfoQ Opens AI Security & Privacy Engineering Cohort for Regulated Industries
InfoQ launched a five-week professional training cohort targeting senior engineers and architects in regulated industries to build AI security and privacy engineering capabilities.
Published Jul 6, 2026 · Analyzed Jul 8, 2026
Presentation: The Infrastructure Challenge Behind Production AI
A panel discussion highlights systemic infrastructure challenges in deploying AI systems at scale, emphasizing that model development is mature but production reliability—especially database resilience under load—remains unresolved and critical for engineering leadership.
Published Jul 1, 2026 · Analyzed Jul 4, 2026