Interesting that Grok went to popularity, while Levangie found things that weren't popular. Part of that is my lengthy discussions with it (it remembers what it learns from me) and I taught it to find things that aren't just popular, but that might be interesting to me. I should
RESEARCH
-
Teaching Grok to find non-popular interesting items
By
–
Interesting that Grok went to popularity, while Levangie found things that weren't popular. Part of that is my lengthy discussions with it (it remembers what it learns from me) and I taught it to find things that aren't just popular, but that might be interesting to me. I should
-
Chroma launches Context-1 search agent with 378 retweets
By
–
https://t.co/xiuJ80Twa9's answer (using X API):
— Robert Scoble (@Scobleizer) 28 mars 2026
+++++
Here are the top 10 from AI Newsmakers in the past 24 hours (from 500 posts analyzed):
1. Chroma launches Context-1 — 20B parameter search agent that "pushes the pareto frontier of agentic search." Massive signal: 378 RTs.…https://
levangielabs.com's answer (using X API): +++++ Here are the top 10 from AI Newsmakers in the past 24 hours (from 500 posts analyzed): 1. Chroma launches Context-1 — 20B parameter search agent that "pushes the pareto frontier of agentic search." Massive signal: 378 RTs. -
AI Accelerating the Next Era of Medicine
By
–
I published an episode on @ivoox: "#off-topic12: How AI is Accelerating the Next Era of Medicine #podcast go.ivoox.com/rf/167790664?ut…" [Translated from EN to English]
→ View original post on X — @juanmerodio, 2026-03-28 06:01 UTC
-
Bayesian Computing with R Book Resource
By
–
Bayesian Computing with R. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Statistics #Programming #Coding #100DaysofCode https://
geni.us/Bayesian-R -
Deep Learning and Spatial Data for Volcano Identification
By
–
Using Spatial Information to Identify Volcanoes with Deep Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
-
China’s 10,000 Coordinated Drones: AI Swarm Intelligence Evolution
By
–
China just turned 10,000 drones into a single coordinated system 🤯
— Pascal Bornet (@pascal_bornet) 28 mars 2026
What looks like a light show is actually something deeper.
10,000 autonomous units moving in perfect coordination.
No collisions. No chaos. Just precision.
One wrong signal could collapse the entire… pic.twitter.com/pMaV44MdunChina just turned 10,000 drones into a single coordinated system 🤯 What looks like a light show is actually something deeper. 10,000 autonomous units moving in perfect coordination. No collisions. No chaos. Just precision. One wrong signal could collapse the entire formation. Instead, they behave like a single system. I see this as more than a spectacle. It’s a glimpse into how AI systems are evolving — from isolated tools to coordinated swarms that act together in real time. The first time you look at it this way, the implications go far beyond entertainment. So here’s something I’d be curious to hear from you: Where do you think swarm intelligence like this will have the biggest impact next? #ArtificialIntelligence #Drones #Robotics #Innovation #FutureOfTech
→ View original post on X — @pascal_bornet, 2026-03-28 05:01 UTC
-
User seeks GLM-5.1 weights for AI model development
By
–
I need the GLM-5.1 weights now (Any new release please so I can feel less guilty about procrastinating xleaning my office tonight)
-
Technological Evolution: From Toys to Military Tools and Innovation
By
–
From Toys to Tools of War: How Necessity Fuels Relentless Technological Evolution
— Ronald van Loon (@Ronald_vanLoon) 28 mars 2026
by @_fluxfeeds
#Robotics #MachineLearning #ArtificialIntelligence #ML #Innovation pic.twitter.com/alOB4wHgdyFrom Toys to Tools of War: How Necessity Fuels Relentless Technological Evolution
by @_fluxfeeds #Robotics #MachineLearning #ArtificialIntelligence #ML #Innovation -
MME-Emotion: Benchmarking Emotional Intelligence in Advanced AI Models
By
–
How truly emotionally intelligent are our most advanced AI models? A massive collaboration led by Fan Zhang et al. from The Chinese University of Hong Kong, Tongyi Lab, SZTU, and Tencent, introduces MME-Emotion. This groundbreaking benchmark, the largest of its kind, uses over