Do you know all the AI lingo? Let's play the AI bingo here:
AI Agents: These are AI systems that can reason and act autonomously to achieve goals. Unlike chatbots that respond to individual prompts, AI agents go through a cycle of perceiving their environment, reasoning about the best next steps, acting on their plan, and observing the results. They can perform various roles, from booking travel to analyzing data or managing IT infrastructure.
This article discusses the growing threat of AI-powered cyberattacks by presenting five examples:
AI-Powered Fraud (Deepfakes): Generative AI can create realistic audio and video deepfakes by mimicking a person's voice or appearance. These can be used to impersonate individuals and trick employees into transferring large sums of money, as seen in real-world examples. Even short audio clips can be enough to create a convincing deepfake.
AI slop is a growing issue online. About 50% of new online articles may be AI-generated. This means the internet is filling with content without human involvement.
People create AI content to make money. They can produce many articles quickly this way. This content is often filled with ads.
The goal often is to create websites with low cost. These sites are then filled with advertisements. Small amounts of money can then be earned.
Political reasons also drive AI content creation. People can spread their viewpoints. They can support or refute certain positions.
Record-setting performance, highlighting its ability to manage and extract information from very long texts.
A lot of small companies are struggling with the connection between their own domain specific expertise and the general AI models, the LLM's, of the main providers.
Moonshot AI from China has released Kimi K2. And it is very strong on tool calling.
And maybe most importantly, it is open source.
Here's a breakdown of the key information about Kimi K2:
What is Kimi K2
OpenAI has quietly released an update to their ChatGPT.
Executive summary about GPT 5.1:
It's described as being "smarter", "safer" and "more conversational."
Variants:
Features:
Past predictions about the limitations of AI have consistently been proven wrong.
The exponential growth in AI capabilities has brought it from research labs into everyday life, accomplishing many feats once deemed impossible. While limitations still exist, I would not bet against AI.
Here's a breakdown of the differences between LLMs (Large Language Models) and LRMs (Large Reasoning Models):
First, I did a search on cvr's own website.
Under the search results, there was an option to download them as an xlsx file. Better known as an Excel sheet.
Fortunately, I don't have to work with the sheet in Excel. I have a much better and more powerful tool in Nushell.
Because Nushell speaks fluent xlsx. Just like Nushell speaks json and many other data formats.
So I could just do the following
open CVRudtræk_2025-11-05_Humlebæk.xlsx
And I get a nice overview back.