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Two weeks ago I fixed one of my teeth with algorithms I wrote a couple of years ago!

I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic.

We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth.

Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks.

3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures.

Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks.

Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.

Two weeks ago I fixed one of my teeth with algorithms I wrote a couple of years ago! I got hooked by 3D scanning when I started to work for a software shop in Zurich that was programming 3D computational geometry algorithms for denture scanning to produce crowns (and more). Back then, a typical reconstruction pipeline was like: scan the patient’s teeth using an intraoral scanner, reconstruct the surface mesh, design the restoration digitally, and finally mill the crown out of ceramic. We were working mostly with point clouds and meshes, but it wasn’t just math, it was craftsmanship translated into a digital process. Every micron mattered. You could literally see how a good algorithm meant a better fit in someone’s mouth. Gaussian Splatting isn’t about surface reconstruction, it’s about appearance reconstruction. It doesn’t care about explicit topology, it captures how light interacts with the scene. In a sense, it’s the opposite philosophy of the dental world: instead of modeling what the object is, it models how the object looks. 3D Gaussian Splatting enables applications like training self driving cars, teaching robots to understand their environment, creating virtual worlds, or monitoring real sites. It represents scenes as millions of small Gaussians rendered in real time without the need for meshes or textures. Coming from a world where precision geometry was everything, this shift felt natural. It’s still about reconstruction, but with a different goal: not manufacturing a perfect object, but reproducing how the world actually looks. Two weeks ago I got my first dental crown, made with the same software, reconstruction algorithms, and Swiss precision I once helped develop. I haven’t worked there in two years, but sitting in that chair and seeing the process from the other side was a proud moment. It reminded me why I love this field.

Your guide to radiance fields | Host of the podcast @ViewDependent | Founder and CEO of https://t.co/5MjtfpwEU3 | discord: https://t.co/lrl64WGvlD

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MrNeRF
Sat Nov 01 22:11:53
RT @0xdiid: Beautiful work of art for a good cause

RT @0xdiid: Beautiful work of art for a good cause

Market Design/Entrepreneurship Professor @HarvardHBS & Faculty Affiliate @Harvard Economics; Research @a16zcrypto; Editor @restatjournal; Econ @Quora; … | #QED

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Scott Kominers
Sat Nov 01 22:11:14
很佩服 在ai 这么浮躁的环境下,还有一些人在潜心做一些深入的研究工作。

很佩服 在ai 这么浮躁的环境下,还有一些人在潜心做一些深入的研究工作。

Growth Coach|Helping creators build their personal brand on X wechat official:PandaTalk8

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Mr Panda
Sat Nov 01 22:11:00
RT @MLflow: Only a few days left until the 𝗧𝗲𝗿𝗺𝗶𝗻𝗮𝗹 𝗕𝗲𝗻𝗰𝗵 𝗠𝗲𝗲𝘁𝘂𝗽 at @databricks HQ! 🚀

📣 Join the #MLflow community this Thursday for an ev…

RT @MLflow: Only a few days left until the 𝗧𝗲𝗿𝗺𝗶𝗻𝗮𝗹 𝗕𝗲𝗻𝗰𝗵 𝗠𝗲𝗲𝘁𝘂𝗽 at @databricks HQ! 🚀 📣 Join the #MLflow community this Thursday for an ev…

CTO at @Databricks and CS prof at @UCBerkeley. Working on data+AI, including @ApacheSpark, @DeltaLakeOSS, @MLflow, @DSPyOSS. https://t.co/nmRYAKFsWr

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Matei Zaharia
Sat Nov 01 22:09:28
RT @databricks: How our engineers built versionless Apache Spark™ – a new way of running Spark that delivers automatic upgrades, zero code…

RT @databricks: How our engineers built versionless Apache Spark™ – a new way of running Spark that delivers automatic upgrades, zero code…

CTO at @Databricks and CS prof at @UCBerkeley. Working on data+AI, including @ApacheSpark, @DeltaLakeOSS, @MLflow, @DSPyOSS. https://t.co/nmRYAKFsWr

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Matei Zaharia
Sat Nov 01 22:09:18
RT @sonxpiaz: Super excited for AI Engineer Conference next month in NYC!

Can’t wait to connect with more builders, founders, and investor…

RT @sonxpiaz: Super excited for AI Engineer Conference next month in NYC! Can’t wait to connect with more builders, founders, and investor…

achieve ambition with intentionality, intensity, & integrity - @dxtipshq - @sveltesociety - @aidotengineer - @latentspacepod - @cognition + @smol_ai

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swyx
Sat Nov 01 22:09:13
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