The online whiteboard of Kristofer Palmvik
Chain of Density is prompt engineering method designed to generate multiple summaries that become progressively more detailed, without increasing their length. An initial summary is generated that is entity-sparse, meaning it contains few key nouns or noun phrases that encapsulate the main points of the article. Then Chain of Density iteratively incorporates additional entities.
A startpage with online resources about Nixintel's OSINT Resource List
The Gmail team built a horseless carriage because they set out to add AI to the email client they already had, rather than ask what an email client would look like if it were designed from the ground up with AI. Their app is a little bit of AI jammed into an interface designed for mundane human labor rather than an interface designed for automating mundane labor.
Watching OpenAI’s new o3 model guess where a photo was taken is one of those moments where decades of science fiction suddenly come to life. It’s a cross between the Enhance Button and Omniscient Database TV Tropes.
tabular-nums is one of the options available in the font-variant-numeric CSS property. When this option is activated, and if your font supports it, all the number characters have the same width.
As an exploration of what it's like to vibe code an app today if you have little to no web dev background, I'm left with an equal mix of amazement (it's actually possible and much easier/faster than what was possible before!) and a bit of frustration of what could be. Part of the pain of course is that none of this infrastructure was really designed to be used like this.
Det här är ett försök att autogenerera spårkartor för svenska järnvägsstationer, baserat på data från Trafikverket och OpenStreetMap.
As Agile consulting sunsets, many are naturally shifting focus toward “Product” as the next growth area. While the language is evolving, the underlying tactics often stays the same.
Almost everything looked legitimate and Google even placed it with other legitimate security alerts, which would likely trick less technical users that don’t know where to look for the signs of fraud.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
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