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The Ernie open-source model family has been dormant for a while, but they are here to make it worth the wait. This latest release came out stealthily, but braced for making a huge impact. With a “Thinking with images” mode in a model under 3B parameters, a lot is on offer. This article serves as a […]

AI’s Growing Pains The 2025 State of AI Report marks something of a watershed moment. After years of racing to see what AI could accomplish, we’re finally asking the tough questions about whether we should trust it to do those things at all. Just because something is powerful doesn’t make it trustworthy or reliable. Today’s

After seeing generated text evolve from the days of tiny neural networks to today's ChatGPT-style large language models, I have to conclude: there's something special about the tiny guys. Maybe it's the way the tiny neural networks string together text letter by letter just based on what you've given it, rather than drawing from prior

Introduction Over the past few years, we’ve witnessed a rise in the use of AI. Remarkable innovations in machine learning, automation, etc. are being discovered lately. Businesses have smart devices and AI-powered assistants to ace several services. An AI knowledge base has become the go-to for most companies these days, to maintain their external relationships

In our previous blog post, we’ve discussed the importance of content agility. But how to arrive at agile content? The road towards it is rather agile in itself. Today, we will walk you through the three major stages of an agile process: production, management, and distribution. 1. Production: creating individual content units Authors tend to

Recently, we’ve discussed why embracing content agility is key and explained that the road towards it is rather agile in itself. But what to do once you’ve gone down this road? What is the publisher’s next step after digitalisation? Automation tooling: what’s out there? Even though publishers use an increasing number of digital tools (such

In October 2025, a research collaboration between Anthropic and the Alan Turing Institute exposed one of the most uncomfortable truths in modern AI. Their study, “Poisoning Attacks on LLMs Require a Near-Constant Number of Poison Samples” revealed that large language models (LLMs), no matter how vast or sophisticated, can be compromised even when only a

Have you ever wondered if your chatbot could think rather than just reply based on pre-trained texts? That is, reasoning through information like a human mind would. You could ask your chatbot about a YouTube video it finds the video and return a structured summary or even an analysis of the video’s important moments. This is exactly

I've recently been experimenting with one of my favorite old-school neural networks, a tiny program that runs on my laptop and knows only about the data I give it. Without internet training, char-rnn doesn't have outside references to draw on (for better or for worse) but it still manages to remix the data into interesting

SHARE THIS: Twitter Facebook LinkedIn Labor Day is more than a three-day weekend. It’s a national pause button — a chance to recognize the hard-earned progress of workers and the value of labor itself. Born from the sweat of laborers demanding fair treatment and safe working conditions, the holiday honors the dignity of work and