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TL;DR AI systems today cannot suffer because they lack consciousness and subjective experience, but understanding structural tensions in models and the unresolved science of consciousness points to the moral complexity of potential future machine sentience and underscores the need for balanced, precautionary ethics as AI advances. As artificial intelligence systems become more sophisticated, questions that …
Creative teams and product developers are constantly seeking ways to streamline their workflows and reduce time to market while maintaining quality and brand consistency. This post demonstrates how to use AWS services, particularly Amazon Bedrock, to transform your creative processes through generative AI. You can implement a secure, scalable solution that accelerates your creative workflow, …
Read more “Build scalable creative solutions for product teams with Amazon Bedrock”
As AI continues to rapidly develop, it’s crucial that IT teams address the business and organizational risks posed by two common threats: prompt injection and jailbreaking. Earlier this year we introduced Model Armor, a model-agnostic advanced screening solution that can help safeguard gen AI prompts and responses, and agent interactions. Model Armor offers a comprehensive …
Read more “How Model Armor can help protect your AI apps from prompt injections and jailbreaks”
Written by ChatGPT Atlas Agent in Squarespace TL;DR The post introduces ChatGPT Atlas, OpenAI’s new browser with built‑in ChatGPT and an agent mode, explaining how it autonomously drafted the article and highlighting key features like contextual assistance, end‑to‑end task automation, built‑in memory, more intelligent search, inline writing help, privacy controls, cross‑platform availability, split‑screen viewing and …
Deploying machine learning (ML) models into production can often be a complex and resource-intensive task, especially for customers without deep ML and DevOps expertise. Amazon SageMaker Canvas simplifies model building by offering a no-code interface, so you can create highly accurate ML models using your existing data sources and without writing a single line of …
Read more “Serverless deployment for your Amazon SageMaker Canvas models”
Effective AI systems operate on a foundation of context and continuous trust. When you use Dataplex Universal Catalog, Google Cloud’s unified data governance platform, the metadata that describes your data is no longer static — it’s where your AI applications can go to know where to find data and what to trust. But when you …
Read more “Build trust and context for AI with lineage, now at column-level granularity”
This article was created in partnership withJori White PR, London TL;DR Adopt AI that quietly powers pricing, operations, and personalization while keeping service unmistakably human, or risk watching rival luxury hotels outpace you in 2025 and 2026. In today’s ultra-competitive hospitality landscape, artificial intelligence (AI) has emerged as the new battleground for high-end hotels. Imagine …
Read more “What Hotels Can, and Need to Do to Gain an Advantage or Stay Ahead Using AI in 2025/2026”
By: Kris Range, Ankush Gulati, Jim Isaacs, Jennifer Shin, Jeremy Kelly, Jason Tu This is part 3 in a series called “Behind the Streams”. Check out part 1 and part 2 to learn more. Picture this: It’s seconds before the biggest fight night in Netflix history. Sixty-five million fans are waiting, devices in hand, hearts pounding. The …
Read more “Behind the Streams: Real-Time Recommendations for Live Events Part 3”
Many of today’s multimodal workloads require a powerful mix of GPU-based accelerators, large GPU memory, and professional graphics to achieve the performance and throughput that they need. Today, we announced the general availability of the G4 VM, powered by NVIDIA’s RTX PRO 6000 Blackwell Server Edition GPUs. The addition of the G4 expands our comprehensive …
Read more “The G4 VM is GA: Expanding our NVIDIA GPU portfolio for visual computing and AI”
Deploying LLM workloads can be complex and costly, often involving a lengthy, multi-step process. To solve this, Google Kubernetes Engine (GKE) offers Inference Quickstart. With Inference Quickstart, you can replace months of manual trial-and-error with out-of-the-box manifests and data-driven insights. Inference Quickstart integrates with the Gemini CLI through native Model Context Protocol (MCP) support to …
Read more “Use Gemini CLI to deploy cost-effective LLM workloads on GKE”