technology

The camera operates by collecting data from its location using open APIs. Utilizing the address, weather, time of day, and nearby places. Combining all these data points Paragraphica composes a paragraph that details a representation of the current place and moment.

Using a text-to-image AI, the camera converts the paragraph into a “photo”.

The resulting “photo” is not just a snapshot, but a complex and nuanced reflection of the location you are at, and perhaps how the AI model “sees” that place.

The issue with hCaptcha’s strange AI generated prompts highlights two issues with machine learning systems. The first is that the AI systems require an enormous amount of human input to not be terrible. Typically image labeling is outsourced to foreign workers who do it for pennies on the dollar. The other is the issue of data drift. The longer these machine learning systems run, the more input they require. Inevitably, they begin to use data they’ve generated to train themselves. Systems that train on themselves long enough become AI Hapsburgs, churning out requests to identify incomprehensible objects like “Yokos.”

Today, the world belongs to TCP/IP. Those two protocols (together with UDP) govern most of the remote communication that happens between computers. But I think it’s wonderful that you can still find, hidden in the plumbing of the internet, traces of this other, long-extinct, evocatively named system. What was Chaosnet? And why did it go the way of the dinosaurs?

Have you ever wondered how much of your personal information is available online? Here’s your chance to find out.

[This is] based on lessons learned from researching and creating Large Language Model (LLM) prompts for production use cases. It covers the history around LLMs as well as strategies, guidelines, and safety recommendations for working with and building programmatic systems on top of large language models, like OpenAI’s GPT-4.

A collection of pure POSIX sh alternatives to external processes.

This ethical and repairable design proves Bluetooth headphones can be more sustainable

A compact cyberdeck, featuring a QAZ 35% keyboard, Banana Pi M2 Zero SBC and 7.9 inch monitor.

I quickly learned that writing one giant query with a bunch of joins or even bunch of Python helper functions could get me stuck. My transformation functions weren’t flexible enough, or my joins were too complicated to answer the endless variety of questions thrown my way while keeping the numbers correct.

Instead, the easiest way to be fast, nimble, and answer all the unexpected questions was to prepare a giant table or dataframe and limit myself to it. As long as I understood the table’s contents, it was harder to make mistakes. I could group by and aggregate on the fly with confidence.

Only as traffic approaches, Norway’s auto-dimming roads get brighter. New LED lights dim to 20 percent when no cars are in area. When a car drives by, the lights turn to 100 per cent. Thus it reduces the country’s carbon footprint.

Use and compare all the popular LLMs