3 Techniques to Effectively Utilize AI Agents for Coding
Learn how to be an effective engineer with coding agents
The post 3 Techniques to Effectively Utilize AI Agents for Coding appeared first on Towards Data Science....
AI is moving to the edge – and network security needs to catch up
Presented by T-Mobile for BusinessSmall and mid-sized businesses are adopting AI at a pace that would have seemed unrealistic even a few years ago. Smart assistants that greet customers, predictive tools that flag inventory shortages before they happen, and on-site analytics that help staff make dec...
OpenAI is launching the OpenAI Academy for News Organizations, a new learning hub built with the American Journalism Project and The Lenfest Institute to help newsrooms use AI effectively. The Academy offers training, practical use cases, and responsible-use guidance to support journalists, editors,...
AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
Open-domain Knowledge Graph Completion (KGC) faces significant challenges in an ever-changing world, especially when considering the continual emergence of new entities in daily news. Existing approaches for KGC mainly rely on pretrained language models’ parametric knowledge, pre-constructed queries...
The Communication Complexity of Distributed Estimation
We study an extension of the standard two-party communication model in which Alice and Bob hold probability distributions ppp and qqq over domains XXX and YYY, respectively. Their goal is to estimate
Ex∼p,y∼q[f(x,y)]\mathbb{E}_{x \sim p, y \sim q}[f(x, y)]Ex∼p,y∼q[f(x,y)]
to within additive error ε...
A decision-theoretic characterization of perfect calibration is that an agent seeking to minimize a proper loss in expectation cannot improve their outcome by post-processing a perfectly calibrated predictor. Hu and Wu (FOCS’24) use this to define an approximate calibration measure called calibratio...
AI Meets the Everyday Hustle: QuickBooks’ New Campaign Shows How Small Businesses Can Finally Breathe
The latest global campaign from Intuit QuickBooks and FCB feels like one of those sort of moments, when tech moves out of the realm of abstraction and lands you know where – real life. As I watched how the team mixed real entrepreneurs with AI-driven storytelling, it gave me pause: is this finally t...
Rolling out enterprise-grade AI means climbing two steep cliffs at once. First, understanding and implementing the tech itself. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more conseque...
Meet LangSmith Assistant – Polly [An Agent for Agents]
Let’s be honest! Building AI agents is exciting but debugging them, not so much. As we are pushing the boundaries of agentic AI the complexity of our system is skyrocketing. We have all been there staring at a trace with hundreds of steps, trying to figure out why agent hallucinated or chose the wro...
AI News Weekly - Issue #458: From "Slop" to Cinema: Can AI Cross the Quality Chasm? - Dec 16th 2025
Welcome
Welcome to your mid-December intelligence briefing. If 2025 was the year of experimentation, this week marks the definitive pivot to industrial-grade execution.
Across these five reports, a singular theme dominates: Agency. We are no longer watching static models gen...
Measuring AI’s capability to accelerate biological research
OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation....
The new ChatGPT Images is powered by our flagship image generation model, delivering more precise edits, consistent details, and image generation up to 4× faster. The upgraded model is rolling out to all ChatGPT users today and is also available in the API as GPT-Image-1.5....
Unified Open-World Segmentation with Multi-Modal Prompts
Recent years have witnessed the rapid development of open-world image segmentation, including open-vocabulary segmentation and in-context segmentation. Nonetheless, existing methods are limited to a single modality prompt, which lacks the flexibility and accuracy needed for complex object-aware prom...
How Temporal Powers Reliable Cloud Operations at Netflix
By Jacob Meyers and Rob ZienertTemporal is a Durable Execution platform which allows you to write code “as if failures don’t exist”. It’s become increasingly critical to Netflix since its initial adoption in 2021, with users ranging from the operators of our Open Connect global CDN to our Live relia...
Xiaomei Liu, Joseph Lynch, Chris NewtonIntroductionBehind the Streams: Building a Reliable Cloud Live Streaming Pipeline for Netflix introduced the architecture of the streaming pipeline. This blog post looks at the custom Origin Server we built for Live — the Netflix Live Origin. It sits at the dem...
NVIDIA today announced it has acquired SchedMD — the leading developer of Slurm, an open-source workload management system for high-performance computing (HPC) and AI — to help strengthen the open-source software ecosystem and drive AI innovation for researchers, developers and enterprises. NVIDIA w...
The Model Context Protocol (MCP) is genuinely useful. It gives people who develop AI tools a standardized way to call functions and access data from external systems. Instead of building custom integrations for each data source, you can expose databases, APIs, and internal tools through a common pro...
Most-Read: The Stanford HAI Stories that Defined AI in 2025
Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.
8 Things To Do With Microsoft’s MarkItDown Library
Most AI projects start with one annoying chore: cleaning messy files. PDFs, Word docs, PPTs, images, audio, and spreadsheets all need to be converted into clean text before they become useful. Microsoft’s MarkItDown finally fixes this problem. In this guide, I will show you how to install it, conver...
Building AI Agents: Insights from the First Three Days of Kaggle’s Intensive Program
I’ve spent plenty of time building agentic systems. Our platform, Mentornaut, already runs on a multi-agent setup with vector stores, knowledge graphs, and user-memory features, so I thought I had the basics down. Out of curiosity, I checked out the whitepapers from Kaggle’s Agents Intensive, and th...