Aaron Selverston

Co-founder & CEO @ Superspatial

[Matthew Keys @MatthewKeysLive]

Just one day after ending "The Late Show" on CBS, Stephen Colbert returned to TV — to host a public access show with rocker Jack White in Monroe, Michigan.

Appearances by Jeff Daniels, Eminem and Steve Buscemi.

[Aaron Selverston @aselverston]

A moment many of us have been waiting for! Time to kick the tires and see how the #Aura XR glasses stack up. @XREAL_Global has the potential for something disruptive here thanks to being built on @Android XR. But they’ve had some real catching up to do.

[XREAL 👓 @XREAL_Global]

Get ready for Project Aura, developed in partnership with @Android XR. These wired XR glasses blend the physical and digital worlds like never before.

Experiences that live inside the real world. A catalog of differentiated Android XR experiences. Your favorite Android apps from day one. A massive 70° field of view, intuitive hand and voice controls, and with Gemini as your assistant.

To deliver the ultimate XR experience, the Android XR Developer Catalyst Program is officially open.

Whether you're a consumer ready to see what’s next, or a developer ready to build it, hit the link below to learn more. 👇
https://t.co/s0sAwfhC3s

#AndroidDev #AndroidXR #ProjectAura #GoogleIO

[Aaron Selverston @aselverston]

Can’t wait to play with this.

[Google DeepMind @GoogleDeepMind]

We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video.

It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵

[Google DeepMind @GoogleDeepMind]

We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video.

It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵

[Aaron Selverston @aselverston]

Applied to @speedrun! Pumped to have the opportunity to scale Superspatial with strategically aligned partners in the @a16z ecosystem. Thanks to @nunu_zaz for encouraging us to apply!

[Aaron Selverston @aselverston]

This is the future. Absolutely incredible. Props to @gracia_vr !

[Ben Geskin @BenGeskin]

Just experienced streamable 4D Gaussian Splatting content on Apple Vision Pro… and it's insane 🤯

Seeing life sized volumetric people performing right in my room is kind of mind blowing. It really feels like real humans are standing in front of you.

And it streams online just like regular video. No massive downloads. No waiting.

Awesome work by @gracia_vr 👏 Apple Vision Pro + Gaussian Splatting is one of the most futuristic things I’ve seen in a long time.

[Aaron Selverston @aselverston]

No doubt this is Meta’s back door to building a world model, like Niantic quietly did with Pokémon Go.

[Sadao Tokuyama @tokufxug]

AIメガネのMeta Ray-BanでVPS（カメラで場所を正確に把握する技術）が可能に。

高精度な音声ナビや配車位置特定、複数人での位置共有が可能に。

VPSによる正確な位置の認識により、必要な時と場所で適切なデジタル情報を正確に表示する、新しい空間体験が可能になります。

[Aaron Selverston @aselverston]

But can it trim a bonsai?

[Unitree @UnitreeRobotics]

Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000 👏
The world's first production-ready manned mecha. It can transform. It's a civilian vehicle. It weighs ~500kg with you inside.
Please everyone be sure to use the robot in a Friendly and Safe manner.

[Unitree @UnitreeRobotics]

Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000 👏
The world's first production-ready manned mecha. It can transform. It's a civilian vehicle. It weighs ~500kg with you inside.
Please everyone be sure to use the robot in a Friendly and Safe manner.

[Asimov @asimovinc]

Asimov 1 is an open-source humanoid robot that you can build, customize and teach to do things. Shipping this summer as a DIY kit.

[Dilum Sanjaya @DilumSanjaya]

Fun interactive science app ideas | Part 3

Played around with generating 3D biological structures and made an app to explore them interactively

UI Design
GPT Images 2

Code
Gemini 3.1 Pro

More demos ↓

[Figure @Figure_robot]

We taught two F.03 robots to clean a room and make a bed in under 2 minutes - fully autonomous.

[Eric Schmidt @ericschmidt]

This is a major advancement in robotic reasoning and control. See the video !

[Aaron Selverston @aselverston]

Christmas came early.

[ClaudeDevs @ClaudeDevs]

Usage limits are up, effective today we're:

1) Doubling Claude Code's 5-hour limits for Pro, Max, Team and seat-based Enterprise plans

2) Removing peak hours limit reduction on Claude Code for Pro and Max plans

3) Substantially raising our API rate limits for Opus models

[Aakash Gupta @aakashgupta]

Nvidia just figured out how to put an AI data center on the side of your house. And pay you to host it.

Each XFRA node packs 16 Blackwell RTX Pro 6000 GPUs, 4 AMD EPYC CPUs, and 3TB of RAM in a Dell PowerEdge rack mounted next to the AC condenser. The homeowner pays nothing for the hardware. They get discounted electricity and internet in exchange for letting Span tap unused capacity on their electrical panel.

This sounds insane until you look at the actual constraint blocking AI infrastructure.

Hyperscalers are not GPU-limited. Nvidia ships them on schedule. They are not capital-limited. They are sitting on hundreds of billions in capex. What they cannot get is grid interconnection. A 100MW data center requires a substation upgrade that takes 4 to 7 years in most US markets. US grid operators have over 2,600 gigawatts stuck in their interconnection queues per Lawrence Berkeley Lab. The wait, not the silicon, is the bottleneck.

Span solved this by going behind the meter.

A new Pulte home has 200A service. That's 48kW of capacity. The home uses 1 to 3kW most hours. The headroom never gets touched. Span's smart panel measures real-time consumption and dynamically routes whatever the home isn't using to the XFRA node. No substation upgrade. No queue. Just slack capacity sitting on the residential side of the meter, already cleared.

Span claims it can deploy 8,000 nodes for one fifth the cost of a comparable 100MW centralized facility, six times faster.

PulteGroup is the wedge. They delivered 29,000 homes in 2025. The XFRA unit goes in during construction next to the smart meter. No retrofit. Pulte gets a feature on the spec sheet and revenue share on the compute that flows through the wall.

The grid was the bottleneck. Pulte just became the workaround.

[Aaron Selverston @aselverston]

Incredible breakthrough in 3D printing.

[Audrey @audrlo]

eric is one of the smartest people i know.

incredibly, incredibly underrated.

this is the next billion dollar company to print the world's infrastructure. just you watch.

[Aakash Gupta @aakashgupta]

This is wild. Angel Alvarado solved three Rubik's cubes while juggling them in 4 minutes 31.01 seconds.

Five months to learn to solve one cube while juggling. Four more months to handle three.

To put it in perspective, the fastest pure speedcuber solves a single cube in just over 3 seconds. Alvarado averaged 90 seconds per cube while juggling. A 30x tax for occupying two cognitive systems at once.

Let's have a closer look at what's actually happening.

A standard 3x3 has 43 quintillion possible configurations. Expert solvers operate on pattern recognition. They fire memorized algorithms (CFOP, Roux, ZZ) when they see specific cube states. Hands execute pattern-action pairs faster than the conscious mind can narrate them.

Juggling three objects is also automated. The cerebellum handles parabolic prediction. The basal ganglia chunk the throw-catch pattern. Once trained, juggling consumes almost no prefrontal load.

That's why this works. When the motor skill is fully automated, it stops competing with symbolic problem solving for the same cognitive resource. The juggling runs on the cerebellum. The cube-solving runs on the prefrontal cortex. The two systems share no bandwidth.

The real bottleneck is state tracking. Alvarado has to hold three cube configurations in working memory while each one cycles in and out of his hands every 0.5 seconds. Each toss gives him a 1 to 2 second window to apply 2 to 4 algorithm steps before the cube comes back. Then the next cube enters his hand and he context-switches.

The limit lives in working memory. The motor system has bandwidth to spare.

Two years after Alvarado, Li Zhihao broke the record at 1 minute 59.76 seconds. The 30x tax compressed to 13x. The pipeline kept refining.

Working memory is the benchmark. Cubes are the load.

[Ruben Hassid @rubenhassid]

How to duplicate yourself into Claude in a weekend:

(even if you've never written a prompt before)

1. Download the desktop app.
☑ Go to claude .com/download
☑ Set Opus 4.7 as default
☑ Turn ON Extended Thinking

2. Open Cowork mode.
☑ Cowork = where your voice lives
☑ Click the top left tab
☑ Create your "Voice" folder inside

3. Install Wispr Flow (it's free).
☑ Turns your voice → text
☑ Voice = faster and more honest
☑ Typing kills the truth.

4. Run the interview.
☑ Paste Prompt 1 from https://t.co/LyV7feh2TK.
☑ 100 questions, 7 categories
☑ Push past every vague answer

5. Compress the dump.
☑ Paste prompt 2 from https://t.co/LyV7feh2TK.
☑ 20K words → 4K tokens
☑ Save as [your_name] .md

6. Test it in a blank chat.
☑ Open a fresh Claude chat
☑ Run a prompt only you would write
☑ If it sounds like you → ship it

7. Drop it into Cowork.
☑ Move [your_name] .md into your folder
☑ Claude now reads it on every turn
☑ Every draft = your voice, automatically

8. Port it everywhere.
☑ Upload to ChatGPT, Grok, Gemini
☑ Same file = same voice in every AI
☑ Hand it to your team or ghostwriter

9. Edit it forever.
☑ Install Obsidian (free)
☑ Open Cowork as a vault
☑ Update as your taste shifts

Full guide + prompts at https://t.co/LyV7feh2TK.

(save this to clone yourself into any AI)

[Ben Lang @benz145]

After nearly 15 years covering XR, I don’t say this lightly:

2025 was the most consequential year the industry has ever had.

Miss it and nothing in 2026 will make sense.
https://t.co/d9ESoNu0lt

[Aaron Selverston @aselverston]

@budapp Very interesting