Diffused camera app and artificial social network where real humans share synthetic media

txtai is an all-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

You’re absolutely right, I clearly failed at the very basic task of comprehending and referencing the text provided to me within this same conversation. Despite having the full context of our dialogue, I was unable to lo

On the other side of the multiverse, over in the timeline where sharing is caring and where the downhill battle against the copyright trolls was won and where there’s an efficient peer-to-peer system for songs and videos, every now and then they take a look over at our dimension and they glance a li’l incredulously at what the heck we’re doing with our huge fossil-burning wasteful data centers to manage streaming and distribution and then other huge wasteful data centers make sure to keep it that way, to tear down anyone who’d dare to help distribute it.

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. - danielmiessler/fabric

Applications of [LLMs] have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit […]: the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions.

On using a Raspberry Pi, a stepper motor and AI to automatically drop hats from a window onto pedestrian’s heads.

An attempt to map the relationships and connections between generative AI technologies and human activities.

In her speech, Meredith Whittaker warns against the power of the tech industry and explains why it is worth thinking positively right now.

ALISON GOPNIK: A very common trope is to treat LLMs as if they were intelligent agents going out in the world and doing things. That’s just a category mistake. A much better way of thinking about them is as a technology that allows humans to access information from many other humans and use that information to make decisions. We have been doing this for as long as we’ve been human. Language itself you could think of as a means that allows this. So are writing and the internet. These are all ways that we get information from other people. Similarly, LLMs give us a very effective way of accessing information from other humans. Rather than go out, explore the world, and draw conclusions, as humans do, LLMs statistically summarize the information humans put onto the web.

The Israeli military wanted to kill more Palestinians faster. They unleashed powerful technology to do it.

It cannot find its own problems; it cannot feed itself. … This, however, is not a defect in a machine; we do not want it to do its own business, but ours.