AskHandle Blog

Featured insights from the AskHandle team.

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Will Serious LLMs Ever Run Fully On-device?

February 27, 2026 · Emily Henderson · 3 min read

For years, the default way to use large language models has been to send prompts to a remote server and wait for an answer, but that pattern is starting to look less fixed than it once did. Chips are getting better, models are getting smaller and more efficient, and consumer devices now ship with dedicated AI accelerators. The real question isn’t whether on-device LLMs are possible—it’s what “serious” means for consumers, and which trade-offs people will accept.

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February 26, 2026
What Is an NPU? A Simple Guide to the AI Processor in Modern Devices
Jessy Chan · 3 min read
You’ve probably started seeing laptops and phones advertised as “AI PCs” or “AI-ready devices.” The reason isn’t just software — it’s a new chip inside them called the NPU (Neural Processing Unit). Unlike a CPU that runs programs or a GPU that handles graphics, an NPU is designed specifically to run artificial intelligence directly on your device. It enables live translation, video call background blur, smart photo search, voice assistants, and even offline AI writing tools — all without sending your data to the cloud.
February 25, 2026
What Is Batch Processing When Using Large Language Models (LLMs)?
Aria Singh · 3 min read
Large Language Models (LLMs) like GPT-style systems have unlocked powerful capabilities — summarization, classification, coding, search, document analysis, and conversational agents. But once you move beyond a single prompt and start building real applications, you quickly run into a practical reality: you rarely need the model once. You often need it hundreds, thousands, or millions of times. That is where batch processing comes in. Instead of sending requests one-by-one in real time, batch processing groups many LLM tasks together and runs them as a scheduled or bulk job. This changes how you design systems, manage cost, and scale AI workflows.
February 24, 2026
What Is COBOL? The Language Quietly Running the Modern World
Alicia Gopin · 3 min read
Most people assume the technology behind their banking app, paycheck, taxes, or credit card is modern — cloud servers, microservices, and shiny web APIs. In reality, a surprising portion of those transactions still depend on software originally designed when computers filled entire rooms and storage was measured in kilobytes. That software is written in COBOL (Common Business-Oriented Language), a programming language created in 1959 that never went away. It didn’t survive because companies are lazy or outdated — it survived because, for a very specific job, it worked extremely well, and replacing it turned out to be far harder than anyone expected.
February 23, 2026
Will future LLMs still hallucinate?
Nina Kimes · 3 min read
Large language models (LLMs) often feel fluent enough to be trusted, yet they can confidently state false facts, invent citations, or misread a question. That mismatch between polished language and shaky truth is what people call “hallucination,” and it’s one of the biggest barriers between today’s chatbots and dependable assistants.
February 22, 2026
What Is ngrok?
Ben Larson · 3 min read
A lot of development happens on a laptop: a local web server, a webhook endpoint, an API you’re testing, or a demo you want to show to someone. The problem is that “localhost” is private. ngrok solves that by giving your local app a temporary public URL that forwards traffic straight to your machine.
February 22, 2026
One Giant Dense Model or Mixtures of Experts?
Katherine Holland · 3 min read
Choosing between a single giant dense model and alternatives like Mixtures of Experts (MoE) or model merging is less about ideology and more about trade-offs: how much quality you can buy, how predictably you can run it, and how painful it will be to ship and maintain. Each approach can win depending on whether you care most about peak accuracy, serving cost, iteration speed, or operational simplicity.
February 21, 2026
Why are GPUs still king of AI?
Lillian Kim · 3 min read
GPUs keep winning in AI not because they’re “perfect,” but because they hit a rare combination: high throughput, strong software support, flexible programmability, and a supply chain that can actually deliver millions of chips into real systems. Custom accelerators and NPUs can outperform GPUs on specific workloads, yet they often struggle to match the broad usefulness and frictionless adoption that make GPUs the default choice for training and increasingly for inference.
February 20, 2026
Agentic AI vs AI Agents: How Goal‑Driven Systems Are Changing Automation
Ben Larson · 3 min read
In the current AI boom, AI Agent and Agentic AI are often treated as synonyms, but the gap between them is the difference between a tool that waits for orders and a teammate that pursues goals. Understanding this shift—from the diligent clerk to the autonomous strategist—is key to seeing where automation is heading.
February 19, 2026
The Hidden Complexity of Getting Structured Data Out of Word
Ben Larson · 3 min read
If you’ve ever tried to “just extract the text” from a Word document and keep all the formatting, you’ve probably discovered it’s anything but “just.” Under the hood, Word is closer to a layout engine plus a tiny CMS than a simple text editor, and that makes faithful extraction surprisingly hard.
February 18, 2026
What Is Agentic AI and Why It Matters Now
Annie Hayes · 3 min read
Agentic AI is a new generation of artificial intelligence that does not just answer questions, but can set sub‑goals, make decisions, and take actions on its own to achieve an outcome with minimal supervision. It is popular because it promises a step change from “smart assistants” to semi‑autonomous digital workers that can operate across many systems and workflows.
February 17, 2026
What Is RAG in AI?
Annie Hayes · 3 min read
RAG, short for Retrieval-Augmented Generation, is one of the most practical ways to make AI chatbots and assistants more useful for real work. It combines two things: searching for relevant information and generating a natural-language answer. The result is an AI system that can respond with content grounded in specific documents rather than relying only on what it learned during training.
February 16, 2026
How Should You Chunk Documents for AI Search?
Dustin Collins · 3 min read
Chunking is one of those quiet decisions that can make AI search feel crisp and helpful—or scattered and frustrating. Good chunking turns long documents into search-friendly pieces that match user questions, preserve meaning, and keep retrieval costs under control. Below are practical strategies you can apply to get better results from keyword search, vector search, or hybrid retrieval.
February 15, 2026
What's Inside a Data Center?
Aria Singh · 3 min read
A data center is one of those places most people rely on every day without ever seeing. It’s not a single machine, and it’s not just “a server room.” It’s a carefully engineered facility built to keep computing running continuously, safely, and predictably.
February 14, 2026
How Do I Generate Random API Tokens From The Terminal?
Katherine Holland · 3 min read
API tokens are everywhere: personal access tokens, webhook secrets, session keys, “bearer” strings for internal tools, and one-off secrets you hand to a teammate for testing. When you need a strong random token quickly, the terminal is often the fastest and most dependable place to create it—no extra apps, no copy-pasting from questionable generators, and no waiting on a UI.
February 13, 2026
Why AI Is Replacing White-Collar Jobs — Especially Fixed-Task Roles
Emily Henderson · 3 min read
For decades, automation primarily threatened blue-collar work: factory lines, warehouses, and repetitive physical labor. Today, artificial intelligence is reshaping a different part of the economy. Increasingly, it is white-collar jobs — particularly those built around fixed, repeatable tasks — that are being automated. This shift is not speculative. It is structural. And it is accelerating.
February 12, 2026
Humanoid Robots: Promise, Problems, and the Reality Behind the Hype
Emily Henderson · 3 min read
A humanoid robot is a machine designed to resemble the human body in structure and movement. Typically, it has a head, torso, two arms, and two legs, allowing it to walk upright and manipulate objects using hands or grippers. Unlike industrial robotic arms bolted to factory floors, humanoid robots are built to function in environments designed for people — homes, offices, warehouses, hospitals, and factories.
February 11, 2026
Understanding the BM25 Formula: A Practical Guide to Modern Information Retrieval
Katherine Holland · 3 min read
BM25 is one of the most widely used algorithms for ranking search results. It determines how relevant a document is to a query by analyzing term frequency, term rarity, and document length. Despite being developed decades ago, BM25 remains a foundation of modern search systems.
February 10, 2026
How should keyword results be ranked?
Lillian Kim · 3 min read
Keyword search looks simple to users: type a query, get the best results. For the team building the search system, ranking is the hard part. Good ranking methods balance relevance, freshness, trust, and speed—while staying robust against spam and shifting user intent.
February 9, 2026
How FPV Drones Are Transforming Olympics Broadcasting
Billy Ewing · 3 min read
The 2026 Winter Olympics in Milan Cortina has delivered a technological leap that's transforming how millions experience winter sports. First-person view (FPV) drones are capturing breathtaking footage that puts viewers right in the action—racing down mountainsides at 130 km/h, soaring alongside snowboarders launching off massive jumps, and diving through the twisting corridors of luge tracks.
February 8, 2026
Can overtime produce high-quality code?
Katherine Holland · 3 min read
Overtime can feel like the quickest path to hitting a deadline. The hours add up, the commit count rises, and the team looks busy. Yet “more time at the keyboard” often leads to worse software. High-quality code is not just output—it’s clarity, correctness, maintainability, and safety over time. Long stretches of overtime work push directly against those goals.
February 7, 2026
What Are Take-Home Interviews?
Melissa Olson · 3 min read
Job interviews are no longer limited to a chat and a whiteboard. Many companies now include a “take-home” as part of the hiring process—work you complete on your own time and submit later. If you’ve never done one, it can feel vague: How long should it take? What are they judging? What’s fair to push back on?
February 6, 2026
Why Is Gold Always Valuable?
Billy Ewing · 3 min read
Gold has held human attention for thousands of years. Trends rise and fall, currencies change design, and technologies come and go, yet gold keeps its place as something people want to own. That long-running value is not an accident. It comes from a mix of nature, chemistry, scarcity, and human behavior. It also raises a modern question: if we can make so many things in laboratories, can we make gold too?
February 5, 2026
What Are Auto Security Scanners?
Nina Kimes · 3 min read
Software is everywhere, and so are the risks to it. Keeping applications and networks safe is a constant task. Auto security scanners help with this work. Tools like Qualys, Tenable, and Veracode automate the search for weaknesses before attackers can find them.