Sent Opus 5 into ultracode to build an F1 showroom in Blender, as detailed as physically possible.
It built a rough draft of the car, assembled it, then did something I didnt expect. It fired off workflows with one agent per piece. 27 agents building high detail parts, each iterated against its own render. 5 more building independent monocoque versions judged head to head with the winner refined. 18 inspectors deep zooming into every region of the car hunting for defects.
Its been running 10 hours. Around 50 agents and close to 10 million tokens.
Here are some renders I pulled mid run. Carbon weave wishbones, machined uprights, anodized rod ends, drilled brake discs, a full steering wheel.
Im taking this a lot further. Once its completely finished im having it render a full 60 to 80 second video to push its limits as far as physically possible all in blender no ai images or videos.
There's no need for life to be dark on Mars, even though it receives less than half the sunlight that Earth does.
Lots of lights, including full solar spectrum, can be the norm.
New Anthropic research: A global workspace in language models.
Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.
We found a strikingly similar divide inside Claude.
The ultimate sovereignty starter pack:
- Mac Studio M5 Ultra 750GB
- Solar panels
- Power generator
- GLM-5.2
Building sovereignty right in your own backyard.
@DavidSHolz Hello David, I was greatly inspired after seeing your machine, so I asked for feedback from my Korean physician friend, who is an actual surgeon with extensive experience in medical imaging and image-based analysis, and received the following response. Above all, we are fans who are very optimistic about your invention. I hope the content below is helpful, and if you need additional feedback (from Korean medical professionals), please let me know. I can help set up that channel for you.
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The limitations of ultrasound in clinical use primarily come from its lack of penetrative ability. In particular, it cannot transmit through bone or air, which is why its effectiveness is concentrated in certain organs such as the breast and thyroid, and in parts of the abdominal cavity where acoustic windows are available. Ultrasound is already a widely used and valuable tool, but because of these physical limitations, it is actively applied only in selected organs or specific clinical indications. It tends to work best in soft tissues like fat and other superficial structures.
A good example of how its limitations are partially overcome is in cases where appendicitis (more precisely, suspected appendicitis) is considered in pregnant patients. In such situations, CT cannot be easily used, so ultrasound is often performed first before considering a non-contrast MRI. The appendix may or may not be visualized on ultrasound depending on its orientation—if it lies in a favorable position relative to the probe, it can be seen; if not, it may be completely missed. This makes the result somewhat dependent on chance and anatomy.
I have also been thinking about how to overcome ultrasound’s limitations in penetration for the past 3–4 years. One idea was:
Combining it with low-dose radiation: This would essentially move it toward the domain of low-dose CT. However, once radiation is introduced, the system inevitably shifts toward optimizing radiological imaging accuracy.
Doppler ultrasound already exists, which detects changes in blood flow. I thought that if similar principles of optical or signal variation could be leveraged, it might significantly improve accuracy for superficial lesions. However, it remains quite difficult to assess deep organs reliably.
From what I found in my research, ultrasound imaging is fundamentally based on reflected sound waves. Since parameters like acoustic velocity and attenuation are already present during image acquisition, there are suggestions that this information could be used to better quantify superficial lesions.
There is also an experimental technique called microwave-based thermoacoustic imaging. Although it still suffers from artifacts and image distortion, it attempts to overcome ultrasound’s depth limitations by using deeper-penetrating microwave energy to generate acoustic signals. If this principle could be commercialized in a low-cost way, it could be quite interesting.
Rather than viewing ultrasound as a system meant to fully replace CT or MRI for whole-body analysis, it may be more useful to see it as a selective, first-line, defensive screening tool for the entire body.
If we compare scans taken six months apart for a single patient, ultrasound could serve as a longitudinal comparison tool for the whole body, which might make it more clinically valuable in a different way.
I genuinely hope they continue exploring this direction further, because with deeper research it could lead to a very meaningful and practical diagnostic tool.
I’m really excited about what you’re building!
I have strong access to Korea’s medical ecosystem, including key healthcare networks and infrastructure. I also have a deep interest in hardware design and engineering.
If there’s anything I can do to help, please don’t hesitate to reach out.
Good luck with your future inventions🚀
5 million humanoid robots working 24/7 can build Manhattan in ~6 months. now just imagine what the world looks like when we have 10 billion of them by 2045. now imagine the year 2100.