At resonance learning from creators and dreaming new dreams. Previously t i d e m a r k. Drove a limo a while back. Learned everything from it. Freedom Rocks!
SF // NY
Joined February 2009
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Christian Gheorghe retweeted
Man. Changing my algo from political slop to engineering and robotics has been so refreshing, so many new awesome people to follow and who are following me as well. I am going to keep posting content from current and past work from my career in robotics, my path moving forward, and stuff in between. Glad to be out of that rut of depressing x feeds. It didn't take long to change it up either. Here's a pretty cool robot EOAT I did for a customer who manufactured Amazon infrastructure hardware. I also did about 25 robotic welding cells for them.
Christian Gheorghe retweeted
They said photography wasn’t art.
They said cinema wasn’t art.
They said video games weren’t art.
Now they say AI arts/digital art isn’t art.
I’ve spent over a decade with my studio team turning millions of data points into living, breathing artwork experiences ethically — at MoMA, at the Guggenheim, at the Venice Biennale. Not because a machine told me what to create, but because I had a vision that no traditional tool could realize.
Denying all AI technologies as an artistic medium doesn’t protect art. It limits it. The artists who embrace new tools don’t replace the old masters — they join them.
Art is not defined by the brush. It’s defined by the intention, the emotion, and the courage to see the world differently.
Christian Gheorghe retweeted
Very interested in what the coming era of highly bespoke software might look like.
Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week.
1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc.
But I still feel like the overall direction is clear:
1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you.
2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it.
So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations.
TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.
Christian Gheorghe retweeted
An emotional story from Palantir CEO Alex Karp about someone helping his family growing up:
“My mom was totally fucked. Someone helped her. I paid them back.”
“In general, people don’t help you, which is totally okay, but the ones that do, are special.”
Christian Gheorghe retweeted
"Shein is bad for the fashion industry and our planet—but I can’t wait for the IPO," Resonance chairman @lawrencelenihan writes in a new commentary. fortune.com/2024/06/07/shein…
Christian Gheorghe retweeted
Dans l'atelier de Constantin Brancusi 🔨
Situé au 8, impasse Ronsin à Paris, l'atelier de Brancusi servait à la fois de domicile, de studio et de galerie, où l'artiste a créé tous ses chefs-d'œuvre.
Visitez l'#ExpoConstantinBrancusi jusqu'au 1er juillet 👉bit.ly/Expo_Brancusi
Christian Gheorghe retweeted
I encourage everyone to pause for a second and realize how far in the future we are.
Christian Gheorghe retweeted
These are the ideas changing the world in 2024.
Yes, the world can seem bleak at times. But read through the 50 winners and hundreds of honorees, and you’ll be inspired by the ideas and people that make the world more accessible, equitable, and sustainable for everyone.
#FCWorldChangingIdeas
Christian Gheorghe retweeted
Jensen, the founder of NVIDIA, said something that triggered me today at the Stripe event.
He compared the Industrial Revolution's conversion of water (atoms) to electricity (electrons) to a modern process of converting electricity to tokens.
He introduced the concept of 'token factories' where electricity is the input, and tokens (text, large language models, images, etc.) are the output.
Wild to see how he’s thinking many steps ahead to a future we’re about to enter.
Christian Gheorghe retweeted
Unmotivated by the prospect of being a homemaker, #HanaeMori enrolled in dressmaking school in postwar Japan.
As the first Asian designer to be a member of the Paris haute couture syndicate, Mori rose to the forefront of global fashion. ✨
Read more: met.org/3TpW7oP
ALT A long black gown with a sheer overlay featuring purple mountains, white flower blossoms, black trees, and red flags.
Christian Gheorghe retweeted
Tesla’s VP of vehicle engineering @larsmoravy says to bend the Cybertruck’s tough steel, they had to invent a process called air bending, where they float the tool on an air hockey like table device and blow really high pressure air so that tool floats over the surface and isn’t actually touching the surface when it’s bending it.
You can watch Top Gear’s full Cybertruck interview here: youtu.be/uefydJUbRhc?si=z_vE…
Christian Gheorghe retweeted
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Christian Gheorghe retweeted
The 3D Gaussian Splatting paper has (rightfully!) stirred up a lot of attention and some friends asked me for a technical take on it, so here we go:
TLDR: Fast, simple, outstanding level of detail, with some caveats (see below).
1/x
3D Gaussian Splatting for Real-Time Radiance Field Rendering
paper page: huggingface.co/papers/2308.0…
Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.
