Uncovering ethical biases in publicly available fetal ultrasound datasets - Nature
Uncovering ethical biases in publicly available fetal ultrasound datasets Nature
Could not retrieve the full article text.
Read on GNews AI bias →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
available
AI Citations: The New Backlink and How to Track Them at Scale
AI citations are fundamentally reshaping how B2B buyers discover information. With ChatGPT seeing 1.6 billion weekly visits and Perplexity AI growing to over 10 million monthly active users, being referenced as a source in AI responses is becoming as valuable as traditional backlinks. Unlike standard backlinks, AI citations don't create HTML links—yet they drive significant referral traffic (8-12% CTR for cited sources) and build brand authority with buyers who trust AI-curated answers. The shift is already happening. Google's AI Overviews now appear in approximately 15% of search queries, with even higher prevalence in B2B research topics. Meanwhile, 68% of B2B researchers report using ChatGPT or Perplexity in the early stages of their buying process. Content optimization platforms help y
My forays into cyborgism: theory, pt. 1
In this post, I share the thinking that lies behind the Exobrain system I have built for myself. In another post, I'll describe the actual system. I think the standard way of relating to LLM/AIs is as an external tool (or "digital mind") that you use and/or collaborate with. Instead of you doing the coding, you ask the LLM to do it for you. Instead of doing the research, you ask it to. That's great, and there is utility in those use cases. Now, while I hardly engage in the delusion that humans can have some kind of long-term symbiotic integration with AIs that prevents them from replacing us [1] , in the short term, I think humans can automate, outsource, and augment our thinking with LLM/AIs. We already augment our cognition with technologies such as writing and mundane software. Organizi
Building a Multi-Agent OS: Key Design Decisions That Matter
Introduction Most agent systems start at the top layer: a model, a persona, a tool list, and an orchestration wrapper. That works for demos. It does not hold up in production. State ends up split across conversations, approval logic hides inside prompts, and swapping a provider or runtime means rebuilding the loop. The useful questions sit lower in the stack: Which component owns task state? Which component enforces policy? Which surface lets operators inspect work and step in? Which event wakes execution? Which protocol must an executor follow to write results back? How do you project runtime capabilities into workspaces without drift? The essential part was discovering which boundaries actually matter. Across each iteration, the same correction kept showing up: centralize the truth, form
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases
AI Citations: The New Backlink and How to Track Them at Scale
AI citations are fundamentally reshaping how B2B buyers discover information. With ChatGPT seeing 1.6 billion weekly visits and Perplexity AI growing to over 10 million monthly active users, being referenced as a source in AI responses is becoming as valuable as traditional backlinks. Unlike standard backlinks, AI citations don't create HTML links—yet they drive significant referral traffic (8-12% CTR for cited sources) and build brand authority with buyers who trust AI-curated answers. The shift is already happening. Google's AI Overviews now appear in approximately 15% of search queries, with even higher prevalence in B2B research topics. Meanwhile, 68% of B2B researchers report using ChatGPT or Perplexity in the early stages of their buying process. Content optimization platforms help y
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!