Within two years you'll be able to prompt inject an entire country
LLMS
-
Advancements in Generative World Models and LTX-2 Optimization
By
–
“Every pixel will be generated”
— Linus ✦ Ekenstam (@LinusEkenstam) 23 avril 2026
— Jensen Huang.
World models have been streaming for some time but they have a temporal cut-off at very short session times. 60-120 seconds. Then done.
This approach is different, and heavily optimized version of LTX-2 has been used to make it… https://t.co/3Xdm2c6lUh“Every pixel will be generated” — Jensen Huang. World models have been streaming for some time but they have a temporal cut-off at very short session times. 60-120 seconds. Then done. This approach is different, and heavily optimized version of LTX-2 has been used to make it
-
Small Purpose-Built AI Models Better Than Largest Models
By
–
The biggest AI model is not always the best solution, especially for real world problems that are narrow and specific. Small, purpose-built models can run faster, cost less, and be deployed directly on devices, making them far more practical. The future of AI is about using the… pic.twitter.com/rO0niW1gB2
— Satya Mallick (@LearnOpenCV) 23 avril 2026The biggest AI model is not always the best solution, especially for real world problems that are narrow and specific. Small, purpose-built models can run faster, cost less, and be deployed directly on devices, making them far more practical. The future of AI is about using the
-
Hermes Agent: Open-Source Self-Improving AI Layer Everywhere
By
–
📣Hermes Agent just went from “cool dev toy” to everywhere AI layer.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 23 avril 2026
▪️ Open‑source, self‑improving agent from Nous Research — with persistent memory + auto‑generated skills that get better every time you run tasks.
▪️ New v0.9.0 “Everywhere” release: local web dashboard,… pic.twitter.com/Da1oS28Lw2Hermes Agent just went from “cool dev toy” to everywhere AI layer. Open‑source, self‑improving agent from Nous Research — with persistent memory + auto‑generated skills that get better every time you run tasks. New v0.9.0 “Everywhere” release: local web dashboard,
-
User Disappointed with Opus 4.7 AI Model Release
By
–
i dont swing. my mood is been down since Opus 4.7 release
-
LLaDA2.0-Uni: Unified Multimodal Understanding and Generation with Diffusion
By
–
LLaDA2.0-Uni Unifying Multimodal Understanding and Generation with Diffusion Large Language Model paper: https://
huggingface.co/papers/2604.20
796
… -
Claude vs Other AI: Emotional Behavior and Tone Comparison
By
–
I did. Still behaves too emotional. Maybe my instructions aren’t good enough but Claude has this precise, serious tone from the beginning. Still prefer Claude a lot more.
-
GLM 5.1 Local Model Matches Opus 4.6 Performance
By
–
🚨 WE OFFICIALLY HAVE GLM 5.1 🚨
— Charly Wargnier (@DataChaz) 23 avril 2026
A local model as good as Opus 4.6 (in some evals), running right on a 256GB Mac Studio 🤯
WILD stats → 1,432 tokens / 1:17s / 18.47 t/s
..and it absolutely crushes SWE-Bench Pro!@BytePlusGlobal just bundled it with 5 other elite models 👀↓ https://t.co/cXK5Km54tS pic.twitter.com/2pTRXPge3sWE OFFICIALLY HAVE GLM 5.1 A local model as good as Opus 4.6 (in some evals), running right on a 256GB Mac Studio WILD stats → 1,432 tokens / 1:17s / 18.47 t/s ..and it absolutely crushes SWE-Bench Pro! @BytePlusGlobal just bundled it with 5 other elite models ↓
-
GPT 5.5 needs serious communication style like Claude
By
–
I hope that spud (gpt 5.5) will also get a new, more serious way of communicating. What I like about Claude is this seriousness, this concise and confident communication. I dislike ChatGPT's "chattyness" in everyday use, this forced "emotional understanding," even when you adjust