How #AgenticAI work
by @genamind #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
RESEARCH
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How Agentic AI Works: Exploring Autonomous Intelligence Systems
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The Age of Context: Prescient Vision of Contextual Technology
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I wrote a book called “The Age of Context” long ago. https://t.co/dZ8MrwtXZb
— Robert Scoble (@Scobleizer) 16 avril 2026
Glad to see I was so far ahead of the times. https://t.co/uqBbCer0zjI wrote a book called “The Age of Context” long ago. http://
a.co/d/0fEtHZLZ Glad to see I was so far ahead of the times. -
Olmix Data Mixing Framework Reading Group with Stanford AI Lab
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Less than 2 weeks away from our Inaugural Reading Group with @MayeeChen from @StanfordAILab and @HazyResearch:
— Snorkel AI (@SnorkelAI) 16 avril 2026
📝 Olmix: A Framework for Data Mixing Throughout LM Development
📅 Wednesday, April 29; doors open at 5:30pm
📍San Francisco
🔗 https://t.co/QITcjgpJFt
Hope to see you… https://t.co/tZlOzZ9E4oLess than 2 weeks away from our Inaugural Reading Group with @MayeeChen from @StanfordAILab and @HazyResearch
: Olmix: A Framework for Data Mixing Throughout LM Development
Wednesday, April 29; doors open at 5:30pm
San Francisco https://
luma.com/da3tj3pr Hope to see you -
NVIDIA Lyra 2.0 Transforms Single Images into Explorable 3D Worlds
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@NVIDIAAIDev just dropped Lyra 2.0 — and it turns a single image into a persistent 3D world you can actually explore.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 16 avril 2026
Generating large, consistent 3D environments has been a major weakness for current models: they forget layouts, lose track of motion, and objects wobble or blur… pic.twitter.com/gsq1295QYa@NVIDIAAIDev just dropped Lyra 2.0 — and it turns a single image into a persistent 3D world you can actually explore. Generating large, consistent 3D environments has been a major weakness for current models: they forget layouts, lose track of motion, and objects wobble or blur
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The Age of Context: Prescient Vision of AI Integration
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I wrote a book called The Age of Context long ago. https://
a.co/d/0fEtHZLZ Glad to see I was so far ahead of the times. Great video! -
GPT-Rosalind: Frontier AI Model for Life Science Research
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Announcing GPT-Rosalind, our frontier model for life science research.
— Greg Brockman (@gdb) 16 avril 2026
This model is a step towards one of our most important goals — accelerating science and improving human outcomes.
Excited to work with many amazing partners on deploying and improving this model. https://t.co/bAsmBB23oQ pic.twitter.com/JCKLTkOCJnAnnouncing GPT-Rosalind, our frontier model for life science research. This model is a step towards one of our most important goals — accelerating science and improving human outcomes. Excited to work with many amazing partners on deploying and improving this model.
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Dataflow Architecture: Key to AI Inference Speed Beyond Chips
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Faster AI chips alone don't fix slow inference. The real bottleneck is data movement. In the decode era, how well your architecture moves data determines speed, throughput, and cost. Here's why Dataflow matters more than ever
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Philosopher Draft: Which Thinkers Would AI Labs Hire?
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we ran a philosopher draft which philosopher from history would each model lab hire if they could, and why?
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Claude Opus 4.7 Finally Reaches AGI Milestone
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I think we finally reached AGI with Claude Opus 4.7
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Fine-tuning Medical LLMs Using High-Performance Computing Clusters
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Training Transformers on a local machine is like trying to win a race on a bicycle. At UArizona, I’ve had the privilege of utilising our High-Performance Computing (HPC) cluster to fine-tune medical LLMs. By leveraging the cluster's parallel processing power, I reduced training