Microsoft open-sourced a 4B model that turns any image into a production-ready 3D asset in 3 seconds.
It’s called TRELLIS.2, a fully textured, physically accurate 3D models with PBR textures out of the box.
→ Full PBR (base color, roughness, metallic, opacity)
→ Handles hair, cloth, glass, non-manifold geometry
→ Exports .glb ready for Unity/Unreal/Blender
→ Runs locally, ships in 3 seconds
It's not a demo or a research preview. The full training codebase is public.
You can fine-tune it on your own asset library and get a model that generates in your studio's exact style.
100% Open Source
Xiaomi-Robotics-1 just dropped on Hugging Face 🔥
A robot foundation model trained on 100,000 hours of real-world manipulation.
They turned it loose in a real apartment: folding laundry, loading the washer, doing the dishes, packing a suitcase. Fully autonomous.
We are reaching level 5 of the digital twin maturity model: virtual to physical convergence & autonomous operations
Now I can pilot my drone through the browser and watch it on the map. But soon: click-to RTS style flying, and then autonomous surveying to update the model
Andrew Ng:
“AI agents are doing almost 100% of my tasks now - the hype has exceeded my expectations.
in 4-6 months, we’ll all be building graphs to orchestrate self-improving agents. No more prompting.”
In a 20-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch.
Worth more than a $500 agentic course.
Watch this video, then read the article below on how to become a graph architect.
Someone open-source harness that lets Claude Code and Codex generate real 3D CAD models from plain English.
It’s called text-to-cad, an open source harness that turns your coding agent into a CAD engineer..
Building a robot used to mean stitching 6+ tools, CAD software, URDF exporters, kinematics solvers, viewers. Days of work. Broken pipelines. Files no agent can read.
text-to-cad kills all of it.
→ Exports STEP, STL, DXF, GLB, 3MF
→ Generates URDF robot descriptions
→ Slices straight to G-code
→ Sends jobs to your Bambu Lab printer
→ Runs fully offline, no backend
One demo generates a full 7-DoF robot arm, working kinematics, custom GUI, the whole thing, almost entirely through prompts.
100% open source.
Met a guy making $1.1 million a year as an agents engineer at Google Cloud.
Asked him how he gets agents 20x better without changing the model.
He sent me the exact thing he uses himself. A repo he open-sourced 2 days ago.
You won't find anything better about harness engineering, in the open.
Cloned it and pointed my agent at it last night.
Ryan Lopopolo. Google Cloud engineer.
'harness-engineering' - anthology + field guide + agent context bundle. You reference his docs from your CLAUDE.md.
633 stars. 48 hours old. MIT.
-> https://t.co/AOykHplNNX
bookmark this before it gets lost.
MICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS.
it's called skillopt.
skills that improve themselves the same way you train an ai model.
no more guessing whether your prompt tweaks helped. a base model runs the task, an optimizer evaluates the output and rewrites the instructions itself.
→ isolates successful paths from failures to find precise improvements
→ auto-rejects any edit that doesn't beat your benchmark score
→ beats hand-crafted prompts and optimizers like textgrad
→ zero model lock-in, the skill transfers to any model you switch to
100% free. open source.
Palantir sells governments a war room that costs millions a year.
So, a guy named Elie just rebuilt it, put it on GitHub, and gave it away.
It's called World Monitor.
Open it and you get a live 3D globe with 500+ news feeds pouring in across 15 categories, all summarized by AI as they land.
> Military movements.
> Economic shocks.
> Natural disasters.
> Cyber incidents.
> Flight paths.
> Shipping lanes.
+ 56 different map layers you can stack on top of each other.
It scores 31 countries on a stress index and updates the number as things happen.
It watches 29 stock exchanges, commodities, and crypto in one panel.
It runs local AI through Ollama, so you can use the whole thing without a single API key.
Native desktop app for Windows, macOS, and Linux. 25 languages. Works out of the box after one clone.
A Google Cloud engineer just showed how to build a full app with Claude from scratch.
He spent 26 minutes live on stage doing what most teams take weeks to do.
Worth more than any $500 vibe-coding course, no team, no setup, just Claude and a goal.
The ones who learn what Claude actually does are shipping what everyone else outsources to a team.
Watch it, then read the guide below on the Claude features 99% of users never find.
Can anyone in my circle confirm this?
idTech is a fantastic engine and it would be a real shame if it was discontinued. I wasn't a fan of the last Doom game, but the tech was undeniably top-tier.
The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work.
I've seen $300 courses that don't cover what he shows in the first 10 minutes.
CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns.
Watch it, then read the guide below on the Claude features 99% of users never find.
Someone open-sourced a 66M parameter model that beats ElevenLabs, OpenAI, and Gemini and runs entirely offline on a Raspberry Pi.
it's called Supertonic, a text-to-speech model so fast it turns an entire webpage into audio in under 1 second. locally. offline. for free.
text-to-speech has lived in the cloud for years. every spoken character was an API call and a fraction of a cent. Supertonic 3 kills that entirely.
the model is 99M parameters. ships as a single ONNX file. hits 167× faster than real-time on a laptop CPU.
that's ~1,263 characters of speech per second. other open systems sit at 55–287.
no cloud. no API. no GPU.
→ 31 languages, no separate adapters
→ works inside a browser tab (WebGPU/WASM)
→ handles phone numbers, currency, dates — no preprocessing
→ inline tags for laugh and breath
→ Turns an entire webpage into audio in under 1 second
→ 44.1kHz studio-grade WAV, no upsampler needed`
and on real-world text, "$5.2M", "(212) 555-0142 ext. 402", "30kph”, it's the only one that reads them correctly. ElevenLabs Flash, OpenAI TTS-1, Gemini 2.5 Flash all fail. Supertonic passes.
11.2k stars. 100% Open Source.
El CEO de Anthropic viendo como China lanza un nuevo modelo de IA que supera a Claude Opus 4.8 en TODO, iguala a Fable 5 costando 8 VECES MENOS, que encima es 100% Open source y no puede hacer nada al respecto
China open-sourced a model that reconstructs any scene in 3D from a regular video, in real-time.
one camera. no LiDAR. 10,000+ frames without falling apart.
just walk around with your camera and watch the entire world get rebuilt in 3D at 20 fps.
→ runs at ~20 FPS on a single GPU
→ Stable over 10,000+ frames
→ Beats optimization-based methods on benchmarks
→ Works on drone footage, driving videos, indoor walkthroughs
100% open source.