What happens when AI stops writing and starts deciding?
4 days after Jev’s release:
→ Browser agents
→ SEO automation
→ Email routing
→ Context compression
→ Local implementations
We tracked what developers built around it.
Full breakdown ↓ https://t.co/xh6sowThak
Jev is an “internet moment” for the AI industry.
It tells your agents and LLMs what to do next: in milliseconds and almost for free. If set up correctly, you get the 2028 AI engineer’s stack.
The article contains a complete 10-step roadmap: how to build and use a “new brain” for AI from scratch. From installation to real automation use cases.
And the key idea is the Jevons paradox (it’s in the image): an increase in the efficiency of resource use does not reduce its overall consumption—on the contrary, it increases it. That is exactly why Jev does not replace LLMs, but makes them cheaper, faster, and more practical.
📖 [https://t.co/IwrlzomvE6]
#AI #Jev #JevonsParadox #agents #automation
Jev is the "Internet" moment for the AI industry
It tells your agents and LLMs what to do next, in milliseconds and at almost zero cost
If you set it up correctly, you will have the AI engineer’s stack for 2028
In this article, I show you how https://t.co/x3qn41ejnr
“Jev is not a chatbot. It doesn’t write text—it makes decisions.”
The author broke down 30 real-world examples of using TypeSafe AI’s new model, Jev: from controlling Mario and Doom to automating business processes.
Key points from the article:
🔹 Jev doesn’t return an answer; it returns a choice — which button to press, which bot to route the task to, whether a human needs to respond.
🔹 The most useful cases aren’t games but boring routine: classifying comments, finding a file by its description, checking code before review.
🔹 The author honestly warns: “fast” ≠ “safe,” and a low price per call ≠ cheap at scale.
Useful for anyone thinking about how to integrate AI into workflows rather than just chatting with it.
📖 [https://t.co/tyEA6QQPlD]
#AI #Jev #TypeSafe #automation
XGEN Labs announced a technical prototype of Generative World Simulation. The system connects the JING model (first-person experience) with the DAO engine (shared world state and rules). XGEN-JING ranked #1 on WBench. GitHub and Hugging Face links in the original tweet. 👇
🔥 Today, we are truly excited to announce our technical prototype, the Generative World Simulation system, which integrates JING(镜), an interactive experience model, with DAO(道), a computable shared-world engine.
The coupled model and engine connect first-person experience with a shared world that continues to evolve beyond any individual observer.
Conditioned on actions and observation history, JING enables agent navigate, manipulate, and communicate from a first-person perspective in the world. Watch our demo video to see it in action!
On the official WBench leaderboard as of September 17, 2026, XGEN-JING ranked #1 on the Full split, and #2 on the Navi split. 🎉
DAO maintains shared world state and rules, computes the consequences of actions, and provides JING with only what the current observer can perceive. It also supports autonomous agent decision-making, enabling agents to act independently within an evolving shared world.
Together, DAO and JING move beyond generating the next frame toward simulating the world behind it. This marks a small step towards OASIS: not just a world that responds to you, but a world—and a society—that evolves with and without you. 💪
Explore XGEN Labs~:
🔗 Website: https://t.co/tqTvPIk19B
�� HF: https://t.co/wxLRmJNYgO
🦊 GitHub: https://t.co/2DMvURLUsK
NVIDIA Research presents Axolotl3D: a unified, occlusion-aware framework for faithful 3D shape completion from images, camera data, and partial geometry. SOTA across single- and multi-view settings. Accepted at #ECCV2026.
📄 https://t.co/6P60E2wmnB
🌐 https://t.co/XsU2VC6jYg
Images rarely show an object’s full 3D geometry.
At #ECCV2026, our research team introduced Axolotl3D, a multimodal and occlusion-aware 3D generation model. It combines images, camera data and partial geometry to reconstruct missing regions while preserving observed ones, achieving state-of-the-art results across single- and multi-view settings.
Project page: https://t.co/bC156qkpl1
Images rarely show an object’s full 3D geometry.
At #ECCV2026, our research team introduced Axolotl3D, a multimodal and occlusion-aware 3D generation model. It combines images, camera data and partial geometry to reconstruct missing regions while preserving observed ones, achieving state-of-the-art results across single- and multi-view settings.
Project page: https://t.co/bC156qkpl1
Worldsplat on Product Hunt: sketch in 3D, generate the scene instantly.
Looks like a fun way to visualize concepts without the usual 3D pain.
Check it out 👇
https://t.co/0UoFw3c0XA
#3D#AI#ProductHunt
What if every chat had an AI GIF button?
Type the reaction you want, generate it, and attach it without leaving the conversation.
I created this using MiniMax H3 Max via @fal. ⚡️
Would you use this? 👀
My next Astra experiment: create a mini diorama motocross simulator.
Set riders skill levels and sculpt the course.
Used Astra Medium/High depending on tasks. Burned through 70% of my weekly limit already 😆.
Play Mini Motto for free: https://t.co/Th5Ni3J906
Great news for those who animate in Blender! 🆓 @ehsanAnim released a convenient set of sliders for Blender. A set of 16 free tools for quick setup of timing and interpolation. 👇
⭐️ Free Tool for Blender Animators ⭐️
It's been a while since I've been thinking about making something like this for Blender, so I could have an easier time animating in this software.
It's a set of 16 sliders from my Maya Animo toolset.
This is exactly what ViSculpt solves! 🤯
Instead of clumsy Python scripts, it uses AI agents (VLMs + SAM2) to operate Blender's GUI directly. It touches the "bare metal" to physically sculpt on existing 3D meshes just like a human artist.
📄 arXiv:2608.24169 #Blender#3D
@alexzenciks "Using coding agents to control blender has that communication overhead because it is a complex software and was meant for humans to use.
We need an agent to touch the bare metal of 3d surface in blender.*