Author: Carter

**Article: Introducing Radar Researcher — Talking to Cloudflare Radar’s Data** Since launching in 2020, Cloudflare Radar has provided one-of-a-kind insight into Internet traffic on a global scale. The open data that Radar publishes from our global network is used by a variety of experts: human rights advocates, journalists, academic researchers, network operators, and more. Today, as part of Agents Week, Radar is beta-launching a new tool: Radar Researcher. Now, if you want to answer a question with Radar’s data, you can just ask in plain language and get an answer back with real, interactive charts — all built on Cloudflare’s…

**Google Pixel 11 vs. Samsung Galaxy S26: Which Premium Phone Wins?** As the tech world gears up for another wave of flagship devices, the rivalry between Google’s Pixel series and Samsung’s Galaxy lineup is set to take center stage. The upcoming Pixel 11 series, launching next week, promises competitive hardware but at a higher price point, challenging its longstanding value proposition. Meanwhile, Samsung continues to push the boundaries of hardware innovation. This article breaks down the key differences, pricing, and what truly matters when choosing between these two premium Android powerhouses. — ### **ZDNET’s Key Takeaways** – Pixel 11 prices…

# Structured Output with Local LLMs: A Practical Guide Local large language models (LLMs) offer compelling benefits for modern applications. By running models on your own hardware, you can keep sensitive data private and reduce dependency on external cloud APIs. However, simply running a model locally is only the first step. In real-world applications, the local LLM is typically part of a larger workflow, and its responses often need to be consumed by downstream components. Free-form text is notoriously difficult to parse reliably, which makes structured output essential. Structured output allows you to define an expected schema in advance, have…

**Pokee-Isaac 28B: A Long-Horizon, On-Premises Foundation Model** Long-horizon agents accumulate context faster than they resolve tasks. Every tool output, observation, and intermediate reasoning step remains in the window, making two capabilities critical: the ability to hold vast context and stay coherent across it. Until recently, these features were almost exclusively available via cloud endpoints, disqualifying regulated industries, public-sector institutions, and on-device applications from such architectures. Pokee AI addresses this gap with **Pokee-Isaac 28B**, a 28-billion-parameter text-only foundation model designed to operate with a **10M-token context window**. The model targets deployment inside a customer’s security boundary—on-premises, in a VPC, or even…

**Navigating CMMC: Lessons from Early Adoption and the Path Forward** In a landscape where cybersecurity compliance is increasingly tied to government contracting, the journey toward CMMC (Cybersecurity Maturity Model Compliance) certification has become a pivotal decision for contractors. Recently, *Federal News Network* hosted a discussion featuring industry leaders Terry Gerton, Angie Lienert (Owner, President, and CEO of IntelliGenesis), and Jeremiah Jensen (COO of IntelliGenesis). The dialogue centered on IntelliGenesis’ proactive pursuit of CMMC Level 2 certification before it became a mandatory requirement, shedding light on the challenges, frustrations, and lessons learned from their experience. Below, we explore key insights from…

**Beyond Speed: How Fixed Access Network Sharing Unlocks New Value for FTTH** As billions of devices become connected – from smart meters and autonomous systems to industrial sensors and intelligent buildings – the value of fibre networks is shifting. The next challenge is no longer simply delivering more bandwidth, but creating flexible infrastructure capable of supporting diverse, latency-sensitive services, argues Dave Keane-Mirajkar, Senior Director, Solutions Architecture, Aurora Networks. For more than a decade, fibre-to-the-home (FTTH) networks have been driven by a race for higher speeds. Each new generation of passive optical network (PON) technology has delivered increased bandwidth and throughput,…

Here is a refined article based on your detailed technical post, now structured with clear sections, an informative **FAQ**, and a **Conclusion**. — ## From Baselines to Breakthroughs: A Complete End-to-End Sentiment Analysis Workflow on IMDb In this article, we walk through a comprehensive sentiment analysis pipeline developed using the **Stanford IMDb Large Movie Review Dataset**. Our goal is not just to achieve high accuracy, but to understand *why* a model makes certain predictions and where it fails. We begin by establishing a **reproducible environment**, rigorously **auditing the dataset** for issues like class imbalance, length bias, and duplicate leakage, and…

**From Point-in-Time Testing to Continuous Validation: How a Global Investment Firm Reduced Risk Across 18 Locations** Most security teams don’t suffer from a lack of data. They suffer from a lack of certainty. Vulnerability scanners, annual penetration tests, and compliance assessments can generate thousands of findings. Yet they often fail to answer a simple question: Which risks actually matter? For a global investment firm operating across 18 locations, that question became increasingly important. A small security engineering team was responsible for securing a growing environment while balancing infrastructure projects, identity management, user support, and the countless responsibilities that come with…

**Ethereum’s Staking Debate: EIP-8363 and the Fight Over “Over-Staking”** Ethereum’s governance landscape has been set ablaze by a controversial proposal aimed at recalibrating the network’s staking incentives. EIP-8363, dubbed the “Tapered Issuance Burn,” has sparked one of the most heated discussions about Ethereum’s economic model since The Merge. Proposed by Ethereum researchers, including Justin Drake of the Ethereum Foundation and Jerome de Tychey of ETHCC, the plan seeks to gradually reduce staking rewards as more ETH is locked up—potentially cutting protocol issuance to zero once 50% of the supply is staked. At its core, the proposal argues that Ethereum has…

**Building a Streamlit UI for Your LangGraph Customer Service Agent** In a previous article, I walked through how to build a LangGraph-based AI agent to automate a 15-minute customer service booking session. That version ran in a terminal-based CLI, which was great for testing logic but not ideal for a customer-facing experience. In this article, we evolve that project by building a clean, interactive Streamlit user interface on top of the existing LangGraph agent. This allows us to present a polished UI while keeping the agent logic separate and reusable. — ### User Interface for the Agent Streamlit differs from…