Only just started to play with NotebookLM's new Mind Maps feature, but for journalists trying to parse large documents or collections of them, it seems an interesting way of seeing the broad landscape and then getting into the detail by clicking a node, as an alternative to asking specific questions

Excellent to see this gap covered. Previously saving your NotebookLM responses lost the elegant citations that make the tool as a whole so useful

Went looking for accuracy disclaimer on Time AI and it's fascinating. Not visible on summaries, but deeper within UI. Emphasis on user responsibility, almost like alcohol, then another (not obvious) click required to find first clear admission that it may be inaccurate or out of date.

Really enjoying the synthetic imagery nightmare fuel Taboola and others are increasingly serving up

Here's Benedict Evans' latest annual report, unsurprisingly on AI. It's a really good overview of the general situation. This comment really jumped out at me: "Accenture now claims more generative AI revenue than OpenAI" www.ben-evans.com/presentations

A really decent overview here - long in the making - on integrating AI in news organisations. A very good starting point, concisely and clearly presented jppol.dk/wp-content/u...

Neat idea from Anthropic (though obviously needs to actually perform). I have found that when stuck on a prompt I increasingly try pushing it back through an LLM, less expecting a firm solution and more to open up new avenues to explore

Going to be interesting to see how yet another news startup copes when actual business model and sustainability challenges kick in, even without cost of actually producing reporting. Reminded of Artifact’s early closure and the thoughtful note accompanying it medium.com/artifact-new...