IT News

On August 10, OpenAI published a blog post with a number in it that is, if you actually sit with it, a strange thing for a company to volunteer: its newest cybersecurity-specific model agrees to write

I wanted this demo to show a realistic support workflow: a customer texts in, an agent reads the tone of the message, and a human gets pulled in when the conversation is clearly going badly. The sampl

The word in Article 22(1) is solely, and it is the entire hinge. Put a human in the loop and the article does not apply; put a human in the loop who clicks approve on ninety-eight per cent of what the

Article 22(1) is usually described as a prohibition and sometimes as a right to object. The distinction has consequences, but the practical work is in Article 22(2), which contains three ways through

Fine totals circulate as single numbers detached from the decision that produced them. The useful version names the authority, the date, the provisions found to be breached, and whether the amount has

“Send me all the personal data you hold about me” arrives at a company that trained a model on a corpus containing that person. Most of the request is ordinary and answerable. One part of it is a genu

A Cloud Billing budget scoped to Vertex AI is fifteen minutes of work and it is worth doing on day one. It is also not a spending limit, and the gap between what people assume it does and what it does

The BigQuery billing export is the only place on Google Cloud where you can see model spend at SKU granularity. The schema is straightforward and there are exactly two traps in it, both of which produ

A model that predicts “no fraud” on every row is 99% accurate on a 1%-fraud dataset. The standard responses are to weight the classes or to resample them, and there is a published finding that for a w

Scoring a boosted tree ensemble is cheap per row and expensive in aggregate, and almost nobody knows which of their parameters is driving the bill. It is the tree count. Here is the arithmetic that sh