I've never been to NAB before. I know it's coming up next week. Is it worth the time? Curious from both a content creator and an AI-enthusiast perspective. If you've gone, what did you get out of it?
AI
-
Finding Quality People on X: A Curation Challenge
By
–
Y'a plein de gens bien sur X mais c'est difficile de faire le tri, je ferais une liste un jour.
-
Democratic Governance and Majority Rule in Future Systems
By
–
we need multiple changes but majority rule also needs to come most likely you cant even introduce elected leaders otherwise
-
Billion-Scale Governance: Majority Rule in Global AI Organizations
By
–
a million? that doesn't scare people enough. make it a billion! in unions still majority rules applies
eg the UN doesnt need it for the majority of their stuff -
Next-Gen Desk Transforms Gestures Into Interactive Holographic Displays
By
–
Next-Gen Desk Turns Simple Gestures into Interactive Holographic Displays
— Ronald van Loon (@Ronald_vanLoon) 13 avril 2026
by @tweetciiiim
#Innovation #EmergingTech #Tech #Technology pic.twitter.com/bgxwASbNe0Next-Gen Desk Turns Simple Gestures into Interactive Holographic Displays
by @tweetciiiim #Innovation #EmergingTech #Tech #Technology -
Anh shares writing skills template for devtools community
By
–
If you're looking to improve your writing game, Anh is one of the most consistent heavy hitters I know in devtools HN and she literally just open sourced her writing Skills template for you to use below!
-
Beyond Vector Similarity: Neurosymbolic AI and RAG Evolution
By
–
RAG is not broken, naive vector-only RAG fails at scale. What’s broken is the idea that meaning = vector similarity. At scale, that collapses. The future is neurosymbolic AI:
•ontologies for structure
•deterministic layers for truth
•LLMs for interpretation (not -
Chandra-OCR-2 OCR Model by DataLab Released
By
–
we used Chandra-OCR-2 by @datalabto
: https://
huggingface.co/datalab-to/cha
ndra-ocr-2
… Full write-up by @NielsRogge
: -
Google’s Growing Memory RNNs: New Caching Approach
By
–
"Memory Caching: RNNs with Growing Memory" Google's new paper proposes a simple way to give recurrent models a memory that grows with sequence length. So instead of forcing an RNN to compress the full past into 1 fixed hidden state, it caches memory checkpoints across
-
AI responsibility and liability: ethical dilemmas in harm
By
–
but what if he is indifferent to their deaths, and fighting liability, should i say nothing?