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Prompt Engineering vs Loop Engineering vs Graph Engineering: What Changes at Each Layer

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Context Engineering, Editors Pick, Generative AI, Language Model, Machine Learning, Software engineering, Staff, Technology, Uncategorized

Three terms now compete for the same line in AI engineering job descriptions. Prompt engineering is the established one. Loop engineering entered the AI vocabulary in late 2025 and dominated developer discussion through June 2026. Graph engineering followed roughly six weeks later. They get used interchangeably. Should they be? The three are not competing techniques. […]

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What the CMS HCC transition means for the future of open analytics

ai, AI (Artificial Intelligence), AI Governance, Artificial Intelligence, data governance, model governance, Model Risk and Artificial Intelligence, Open Source, Uncategorized

Open-source technologies have become a standard part of modern analytics, data science and AI. Organizations across regulated industries are adopting tools like Python to accelerate innovation while building more flexible analytics environments. But adopting open-source technologies introduces a new challenge. As organizations modernize, they must also maintain the governance, transparency […] The post What the

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4 lessons on turning AI into real business decisions

ai, AI (Artificial Intelligence), AI Governance, AI modeling, Artificial Intelligence, SAS Innovate, sas intelligent decisioning, Trustworthy AI, Uncategorized

Organizations have spent the past few years experimenting with AI. The question now isn’t whether AI can generate insights. It’s whether organizations can consistently turn those insights into business decisions that create measurable value. That’s where many AI initiatives stall. Models perform well in development but never make it to […] The post 4 lessons

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Prompt Engineering vs Loop Engineering vs Graph Engineering: What Changes at Each Layer

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Context Engineering, Editors Pick, Generative AI, Language Model, Machine Learning, Software engineering, Staff, Technology, Uncategorized

Three terms now compete for the same line in AI engineering job descriptions. Prompt engineering is the established one. Loop engineering entered the AI vocabulary in late 2025 and dominated developer discussion through June 2026. Graph engineering followed roughly six weeks later. They get used interchangeably. Should they be? The three are not competing techniques.

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A Practical Guide to Bone Tissue Labeling and Annotation

ai, AI (Artificial Intelligence), Artificial Intelligence, Uncategorized

Bone tissue labeling is not merely about learning and memorizing anatomical terms. It is about exploration of the dynamic, self-renewing tissue. In both clinical and academic settings, confusion between macroscopic layers and microscopic systems can lead to errors in clinical application and identification. A single orthopedic CT scan may contain hundreds of slices, while a

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Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run

ai, AI (Artificial Intelligence), Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, Uncategorized

Most agents that learn from video need to know what action produced each frame. Induction Labs is arguing that this requirement is the bottleneck. Last week, they released imagination models, a foundation model architecture that pretrains on raw video with no action labels at all. Their test system is Photon-1, a sparse 106B-A5B mixture-of-experts (MoE)

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How to build predictive health care AI from data to decision

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, clinical analytics, Data Management, Healthcare, Machine Learning, predictive modeling, sas health, SAS Viya, Uncategorized

Explore how SAS Health and SAS Viya help healthcare organizations transform clinical and operational data into predictive, AI-driven decisioning workflows that improve patient outcomes through risk identification, model deployment, and governed agentic AI. The post How to build predictive health care AI from data to decision appeared first on SAS Blogs.

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Poolside releases Laguna S 2.1, a 118B open-weight coding model that matches rivals many times its size

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Open Source, Software engineering, Staff, Tech News, Technology, Uncategorized

Poolside has released Laguna S 2.1, a 118B-parameter open-weight model built for agentic coding. It is a Mixture-of-Experts (MoE) model with 8B activated parameters per token. It supports a context window of up to 1M tokens in both thinking and no-thinking modes. The weights are on Hugging Face under an OpenMDW-1.1 license, and the model

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Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Open Source, Software engineering, Staff, Tech News, Technology, Uncategorized

Poolside has released Laguna S 2.1, a 118B-parameter open-weight model built for agentic coding. It is a Mixture-of-Experts (MoE) model with 8B activated parameters per token. It supports a context window of up to 1M tokens in both thinking and no-thinking modes. The weights are on Hugging Face under an OpenMDW-1.1 license, and the model

Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual Read More »

Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber: A Cheaper, More Token-Efficient Flash Tier Built for Agentic Workloads

agentic ai, ai, AI (Artificial Intelligence), AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Software engineering, Staff, Tech News, Technology, Uncategorized

Developers building production agents need higher token efficiency, lower latency, and more reliable performance. Today, Google has released three new Gemini models. The lineup is Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. All three sit in the Flash tier, which Google tunes for speed, cost, and high-volume agentic work rather than

Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber: A Cheaper, More Token-Efficient Flash Tier Built for Agentic Workloads Read More »