BREAKING NEWS
LATEST POSTS
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Artificial Analysis Mochi 1 – an open source text 2 video model
Mochi 1 AI operates on a pay-as-you-go model, meaning you only pay for the services you utilize without any hidden fees.
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Bella – Fast Spectral Rendering
Bella works in spectral space, allowing effects such as BSDF wavelength dependency, diffraction, or atmosphere to be modeled far more accurately than in color space.
https://superrendersfarm.com/blog/uncategorized/bella-a-new-spectral-physically-based-renderer/
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Scans Factory – Unreal 5.4 demo – Rome Walkthrough
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PlanCraft – An assumptions based project schedule generator
https://www.hasielhassan.com/PlanCraft/#about
It helps you create and Open Schedule Format (OSF) JSON file for your projects.
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Elon Musk finally admits Tesla’s HW3 might not support full self-driving
The CEO said when asked about Tesla achieving its promised unsupervised self-driving on HW3 vehicles:
We are not 100% sure. HW4 has several times the capability of HW3. It’s easier to get things to work on HW4 and it takes a lot of efforts to squeeze that into HW3. There is some chance that HW3 does not achieve the safety level that allows for unsupervised FSD.
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NoPoSplat – Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
A feed-forward model capable of reconstructing 3D scenes parameterized by 3D Gaussians from unposed sparse multi-view images.
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Apple reaches deal to acquire Pixelmator
https://9to5mac.com/2024/11/01/apple-reaches-deal-to-acquire-pixelmator
Pixelmator has signed an agreement to be acquired by Apple, subject to regulatory approval. There will be no material changes to the Pixelmator Pro, Pixelmator for iOS, and Photomator apps at this time.
https://www.pixelmator.com/pro/
FEATURED POSTS
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Survivorship Bias: The error resulting from systematically focusing on successes and ignoring failures. How a young statistician saved his planes during WW2.
A young statistician saved their lives.
His insight (and how it can change yours):
(more…)
During World War II, the U.S. wanted to add reinforcement armor to specific areas of its planes.
Analysts examined returning bombers, plotted the bullet holes and damage on them (as in the image below), and came to the conclusion that adding armor to the tail, body, and wings would improve their odds of survival.
But a young statistician named Abraham Wald noted that this would be a tragic mistake. By only plotting data on the planes that returned, they were systematically omitting the data on a critical, informative subset: The planes that were damaged and unable to return.
