Anthropic Hits a $965 Billion Valuation, Overtaking OpenAI
Anthropic’s $65 billion Series H values the company at $965 billion, pushing it past OpenAI for the first time and setting up one of the most closely watched IPO races in tech.
Anthropic’s $65 billion Series H values the company at $965 billion, pushing it past OpenAI for the first time and setting up one of the most closely watched IPO races in tech.
On June 1, 2026, GitHub Copilot replaced its flat subscription with metered “AI Credits.” Here’s what changed, what stays free, and why the developer community pushed back so hard.
A cyber-attack on airport check-in and baggage systems triggered a day of delays at Heathrow, with knock-on cancellations reaching Brussels and Berlin.
AI Magazine’s weekly roundup of the five biggest AI stories, spanning UK developments, the Microsoft-OpenAI memorandum of understanding, and emerging buzzwords like vibe coding and AI bubbles.
Ahead of its first financial update since the breach, the Co-op is set to reveal the financial damage caused by a major cyber attack.
Low-Code (LC) is a type of technology that enables non-developers to create software applications without having to write traditional code. The main characteristic of Low-Code solutions is the reduction of the amount of code written necessary to create an application. This is achieved through the use of tools and interfaces …
the main characteristics of an AI Agent: Additionally, an AI Agent may also have: These characteristics may vary depending on the type of AI Agent and its intended application.
An AI (Artificial Intelligence) Agent is a software program designed to interact with its environment, receive input, process information, and generate output. An AI Agent can be defined as a “software entity” that acts autonomously to achieve specific goals. A typical AI Agent has three key characteristics: Types of AI …
When it comes to “training a machine learning model”, we’re referring to the process of educating the algorithm on a dataset so that it can learn to recognize and predict patterns in the data. The process of training a machine learning model typically involves the following steps: The goal of …
The reason is simple, everyone can have a specific AI on their Computer/ServerLet’s take a couple of examples:You have an AI specifically trained for your needs installed on your PC and you have to travel, with a normal App, you have to buy an internet connection for example on a …