86 posts
aws AWS Weekly Roundup: NVIDIA Nemotron 3 Super on Amazon Bedrock, Nova Forge SDK, Amazon Corretto 26, and more (March 23, 2026) Hello! I’m Daniel Abib, and this is my first AWS Weekly Roundup. I’m a Senior Specialist Solutions Architect at AWS, focused on the generative AI and Amaz…
stripe Earlier this week, more than 2,000 payments leaders gathered at the Merchant Risk Council (MRC) Vegas 2026 conference to discuss new fraud patterns, authentication strategies, and agentic commerce. One theme emerged: fraud has become more automated and increasingly difficult to…
meta Even seemingly simple engineering tasks — like updating an API — can become monumental undertakings when you’re dealing with millions of lines of code and thousands of engineers, especially if the changes are security-related. Nowhere is this more apparent than in mobile securit…
google Introducing Groundsource: Turning news reports into data with Gemini March 12, 2026 Oleg Zlydenko, Software Engineer, Rotem Mayo, Software Engineer, and Deborah Cohen, Research Scientist, Google Research Today, we’re introducing Groundsource, a new scalable methodology that leve…
line 들어가며: NeurIPS 2025가 제시하는 차세대 AI 안전 가이드 생성형 모델은 점점 더 우리 생활에 깊숙히 들어오고 있습니다. LY Corporation에서도 다양한 AI 서비스를 개발해 제공하고 있는데 이런 서비스에 가드레일(guardrails)이 없으면 다양한 공격을 받고 유해한 답변이 노출되거나, 개인 정보나 기밀 유출과 같은 오작동이 발생할 수 있습니다. 즉, 가드레일은 AI를 실서비스에서 운영 가능하게 만드는 필수 인프라입니다. 저희 조직은 사용자가 보다 안전한 환경에서 AI 서비…
aws AWS Weekly Roundup: OpenAI partnership, AWS Elemental Inference, Strands Labs, and more (March 2, 2026) This past week, I’ve been deep in the trenches helping customers transform their businesses through AI-DLC (AI-Driven Lifecycle) workshops. Throughout 2026, I’ve had the privi…
aws AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026) Last week, my team met many developers at Developer Week in San Jose. My colleague, Vinicius Senger delivered a great keynote about renascent softwa…
aws AWS Weekly Roundup: Amazon EC2 M8azn instances, new open weights models in Amazon Bedrock, and more (February 16, 2026) I joined AWS in 2021, and since then I’ve watched the Amazon Elastic Compute Cloud (Amazon EC2) instance family grow at a pace that still surprises me. From AW…
google Beyond one-on-one: Authoring, simulating, and testing dynamic human-AI group conversations February 10, 2026 Erzhen Hu, Student Researcher, and Ruofei Du, Interactive Perception & Graphics Lead, Google XR DialogLab is a research prototype that provides a unified interface to con…
aws AWS Weekly Roundup: Claude Opus 4.6 in Amazon Bedrock, AWS Builder ID Sign in with Apple, and more (February 9, 2026) Here are the notable launches and updates from last week that can help you build, scale, and innovate on AWS. Last week’s launches Here are the launches that got…
google How AI tools can redefine universal design to increase accessibility February 5, 2026 Marian Croak, VP Engineering, and Sam Sepah, Lead AI Accessibility PgM, Google Research Google Research's Natively Adaptive Interfaces (NAI) redefine universal design by embedding multimodal AI…
aws AWS Weekly Roundup: Amazon Bedrock agent workflows, Amazon SageMaker private connectivity, and more (February 2, 2026) Over the past week, we passed Laba festival, a traditional marker in the Chinese calendar that signals the final stretch leading up to the Lunar New Year. For m…
cloudflare Google’s AI advantage: why crawler separation is the only path to a fair Internet 2026-01-30 Maria Palmieri Sebastian Hufnagel Earlier this week, the UK’s Competition and Markets Authority (CMA) opened its consultation on a package of proposed conduct requirements for Google. Th…
grammarly While generative AI focuses on creating content like text and images through prompt-based prediction, agentic AI represents a shift toward autonomous goal achievement and execution. By combining the creative output of large language models with a continuous loop of perception and action, these technologies allow users to move from simply generating drafts to managing complex, multi-step workflows. Ultimately, the two systems are most effective when used together, with one providing the ideas and the other handling the coordination and follow-through. ### Distinguishing Creative Output from Autonomous Agency * Generative AI functions as a responder that produces new content—such as text, code, or visuals—by predicting the most likely next "token" or piece of data based on a user’s prompt. * Agentic AI possesses "agency," meaning it can take a high-level goal (e.g., "prepare a client kickoff") and determine the necessary steps to achieve it with minimal guidance. * While tools like Midjourney or GitHub Copilot focus on the immediate delivery of a specific creative asset, agentic systems act as proactive partners that can use external tools, manage schedules, and make independent decisions. ### The Underlying Mechanics of Prediction and Action * Generative models rely on Large Language Models (LLMs) trained on massive datasets to identify patterns and chain together original sequences of information. * Agentic systems operate on a "perceive, plan, act, and learn" loop, where the AI gathers context from its environment, executes tasks across different applications, and adjusts its strategy based on the results. * The generative process is typically a direct path from input to output, whereas the agentic process is iterative, allowing the system to adapt to changes and feedback in real-time. ### Practical Applications in Content and Workflow Management * Generative use cases include transforming rough bullet points into polished emails, summarizing long documents into flashcards, and adjusting the tone of a message to be more professional. * Agentic use cases involve higher-level orchestration, such as monitoring document revisions, consolidating feedback from multiple stakeholders, and automatically sending follow-up reminders. * In a project management context, an agentic system can draft a project plan, identify owners for specific tasks, and update timelines as milestones are met or missed. ### Navigating Technical and Operational Limitations * Generative AI is susceptible to "hallucinations" because it prioritizes probabilistic output over factual reasoning or logic. * Agentic AI introduces complexity regarding security and permissions, as the system needs authorized access to various apps and tools to perform actions on a user's behalf. * Current agentic systems still require human oversight for critical decision-making to ensure that autonomous actions align with the user's intent and organizational standards. To maximize efficiency, you should utilize generative AI for the creative phases of a project—such as brainstorming and drafting—while delegating administrative overhead and coordination to agentic AI. As these technologies continue to converge, the focus of AI utility is shifting from the volume of content produced to the successful execution of complex, real-world results.
aws AWS Weekly Roundup: Amazon EC2 G7e instances, Amazon Corretto updates, and more (January 26, 2026) Hey! It’s my first post for 2026, and I’m writing to you while watching our driveway getting dug out. I hope wherever you are you are safe and warm and your data is still flowing!…