tipatat

VR AR GenAI Spatial Computing investor, GP @thevrfund

[David @DavidSHolz]

my friends are all feeling extremely productive and also extremely drained with the latest coding models. this makes me feel like something is wrong, and also that there might be a big opportunity. does anyone have any strategies they use to make it feel better day-to-day?

[shmidt @shmidtqq]

ANTHROPIC HAS AN OFFICIAL PROMPT LIBRARY FOR CLAUDE CODE

Most people have never opened it.
So they write every prompt from scratch.

It is copy-paste, tagged by task and by role,
across the whole lifecycle:

discover → design → build → ship → operate

Straight from the page:

> what would break if I deleted this helper?
> plan this refactor, list the files, do not touch code yet
> write tests for this, run them, fix what fails
> the test is failing, find out why and fix it

This is not a cheat sheet.
It is a map of what Claude Code already does for you.

Bookmark it before you forget it exists.

[RoboHub🤖 @XRoboHub]

X-Humanoid just dropped TG-VLA — the first full-size, whole-body VLA framework for humanoids. 🤖

Most VLA demos today still look arm-centric: see, plan, reach, grasp. The legs are mostly there to carry the arms.

TG-VLA pushes action into the whole body:

→ HEX: task context & cross-embodiment learning

→ HAF-VLA: high-DoF motion → structured action flows

→ DSRL-DCT: online RL through a compressed latent space

The real shift isn't a smarter hand — it's locomotion, torso control, balance, and manipulation inside one control loop.

That's the move: from mobile dual-arm machines to full-body agents.

[Spencer Baggins @bigaiguy]

A developer just killed the real estate walkthrough industry by scanned an entire house with his phone. Uploaded it.

Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment.

Click → you’re inside. Every room. Every angle. Every shadow. Photoreal.

The economics are brutal for the old model:

→ Agent fee on a $500k home: $15,000
→ Cost to produce this scan: roughly $200
→ Time to "tour" 50 houses: one evening
→ File size: smaller than a TikTok clip

The science is wild too:

It runs on 3D Gaussian Splatting instead of polygons.

Millions of tiny glowing splats of color and depth reconstruct the scene from your photos, and it loads photoreal on a phone.

Freelancers are already charging $300 to $800 per scan for realtors, Airbnbs, venues, and dealerships.

One person + one phone + one weekend = a business.

Open source. Built on PlayCanvas.

Free GitHub: https://t.co/B4eW6rFRKc

[Justine Moore @venturetwins]

Kids in 2050 are going to watch these AI cartoons about the Italian brainrot case in federal court like we watched “Schoolhouse Rock”

[tipatat @tipatat]

@jonstephens85 Very impressive!

[Lightwheel @LightwheelAI]

Geely's humanoid robots are now working on a live automotive production line — sorting and sequencing parts.

The path from months per task to weeks: Lightwheel's Real2Sim2Real infrastructure.

One continuous learning system — human data, simulation, deployment, and back:

→ EgoSuite captures how Geely's own operators work — first-person human data from the live line.
→ SimFoundry turns it into physics-grounded simulation, calibrated to Geely's real equipment.
→ Every failure on the line becomes the next lesson — and each cycle ships a stronger policy.

Built on NVIDIA GR00T and NVIDIA Isaac. @NVIDIARobotics

This is our continuous learning system for Physical AI — running in production.

Full story 👉 : https://t.co/97qh8cYsWN

[Crunchyroll @Crunchyroll]

Solo Leveling: Beyond the System is officially in production as an all-new anime theatrical feature film. A continuation of the latest season, co-produced by Aniplex, D&C Media & Crunchyroll.

Watch the companion concept video.

More: https://t.co/8vjbYCEHxh

[Roland Smeenk ᯅ @rolandsmeenk]

The graphics fidelity of the Apple Vision Pro keeps surprising me. VisionOS27 introduces physical space lighting that allows me to blend virtual illumination with my real-world environment. In this demo I used the Logitech Muse to act as a virtual flashlight. ISS 3D model by NASA

[Tom Sanocki @tomsanocki]

I’m excited to announce that I’ll be building robots as VP Engineering at @1x_tech. Rapid progress in world models will create a robotics inflection point.

Very excited to work with @BerntBornich and the stellar 1X team to bring humanoid robots to homes very soon. We’re hiring.

[World Labs @theworldlabs]

Join us at Worlds in Action Hackathon during SIGGRAPH 2026!

From multiplayer games to immersive interactive experiences, here's a look at what's possible with Marble across Unity, Unreal Engine, and the web with three.js

Los Angeles • July 18–19

[Zhiwen(Aaron) Fan @zhiwen_fan_]

World models should not just look real. They should obey physics.

CrashTwin stress-tests generative world models on safety-critical crashes, measuring temporal consistency, momentum and energy conservation, and identity stability.

Data + code: https://t.co/3ci6HOAJRK

[Gracia @gracia_vr]

It always feels special to finally share a project you’ve put so much work into.

It was an exciting collaboration with Meta @RealityLabs and @nathanmatsuda on MEMBA’s volumetric performance — a project that required a completely custom approach from day one.

Our standard workflow for volumetric capture and 4DGS reconstruction simply wasn’t enough for this production. Instead, we took a true white-glove approach and worked side by side with the Meta Reality Labs team to jointly develop a reconstruction workflow specifically for these conditions. To pull it off, we had to find creative solutions at every stage of the pipeline, from the concept itself and capture rig design to the reconstruction process, user experience, and distribution. All of this came together to reconstruct a live performance with constantly changing stage lighting, stroboscopes running at different frequencies, haze affecting every frame, a band performing live on modular synths, and more than 20 people partying at the same time.

The final 4DGS reconstruction is almost indistinguishable from the original footage, proving that every hour of development was worth it. It captures the atmosphere of the performance in every detail, from the lighting and the crowd to the live electronic performance itself, while also expressing a creative vision that goes beyond reality.

This is just a small behind-the-scenes look at what we’ve been building together. More to come later this summer.

Music: MEMBA - Patience

[Astrocade @PlayAstrocade]

Your game is one asset tweak away from looking pro.

Starting today you can edit, modify, and glam up any single asset in your game, including audio and animation, right in the Media tab.

Take your game to the next level.

[Jeff Clune @jeffclune]

Love seeing @DrJimFan ongoing open-endedness work for robotics! Very cool to see open-ended skill discovery for physical agents. Congrats!

[Jim Fan @DrJimFan]

Today, we give robots a /skills library that self-evolves and compounds indefinitely! Introducing ASPIRE: a robot solving its 100th task is no longer as clueless as solving its first. Coding agents observe multimodal sensory traces from simulation and real robots, launch an evolutionary search over control programs, and distill the best know-how into an ever-expanding library.

ASPIRE is a new type of continual learning: "training" is skill refinement instead of gradient descent.
"Trained model" is a repo of sensorimotor skills instead of floating weights.
“Distributed training” is a panel of agents each practicing a different skill instead of sharded minibatches.

Here's the beauty: ASPIRE gives the tired terms "sim2real transfer" and "cross-embodiment transfer" a whole new meaning. Bridging the sim-to-real gap is notoriously brutal. An end-to-end policy has to swallow both the visual shift (sim looks toyish next to a real camera) and the subtle contact physics it never quite gets right. ASPIRE sidesteps the mess, because it doesn't ship pixels or weights across the gap, but ships the know-how. The robot still has to practice in the real world, not zero-shot, but it gets there way faster because it isn't rediscovering the strategy from scratch. Same for going single-arm to bimanual hardware, which usually requires new data and retraining from zero. ASPIRE achieves up to ~10x cut in "transfer learning” tokens (yes, tokens are the new unit of *training* compute ;)

Check out our gallery of 150+ tasks and 90+ skills the robots taught themselves, all on the website! Kind of wild that we can ship the "learned weights" as an HTML page rather than a GGUF. We'll open-source the full stack so your own robot library starts compounding from ours!

Deep dive in thread:

[TechCrunch @TechCrunch]

SpaceX has an AI device prototype, and it sure sounds phone-ish https://t.co/yuojDz7Ndu

[TechCrunch @TechCrunch]

Gemini Spark, Google’s agentic assistant, is now available on Mac https://t.co/SdGyESeJEf

[Yarchi @undefinedKi]

Anthropic will pay you $85,000 to learn AI, and this is the kind of opportunity you don't let pass

It's called Claude Corps. Anthropic just launched it, and it's a 12-month paid fellowship for people at the very start of their careers.

They train you to use Claude from scratch, then place you inside a nonprofit to do real work with it for a year. You get paid $85,000 plus benefits the whole time.

They're basically paying you to master the most in-demand skill on the planet right now, then handing you real-world experience using it.

The barrier to entry is almost nothing. Over 18, less than two years of full-time work experience. No degree, no AI background needed.

If that's you, don't sit on this one.

Apply here: https://t.co/qL6r4FFkZ3
Deadline: July 17

Bookmark this

[Reka @RekaAILabs]

Most evaluations of world models ask, "Does this look right?" 🌎

We built WorldModelGym to ask a different question: if an agent actually uses this model to make decisions, does it still choose well? 🏋️🏃‍♂️🏁🦾

A simulation can look physically plausible and still lead an agent completely astray. 📉⚠️

Stay tuned. More tomorrow at https://t.co/gaf6iEgEiw. 👀