Lifeboat Foundation

Is a short film I made to explore my fascination with artificial gravity in space.

It takes place aboard the \.

Elon Musk just dropped hints about Tesla’s robotaxi and humanoid robot efforts. If all goes well, both could change your workplace, and how you commute to it.

NASA’s Mars Curiosity rover has made consistent and puzzling findings while roaming the barren surface of the planet’s Gale Crater: mysterious puffs of methane gas that only appear at night and vanish during the day.

Over the years, the rover’s Sample Analysis at Mars (SAM) instrument has repeatedly detected significant concentrations of the gas, sometimes spiking to 40 times the usual levels — and scientists are still trying to figure out the source, as NASA details in a new blog post.

It’s an especially intriguing finding, given that living creatures produce methane here on Earth, giving the findings special significance as NASA scans the Red Planet for signs of subterranean life.

Conversastional Computing is allowing for personalized digital assistants managing daily tasks — but we must also consider privacy, bias and other ethical concerns.

A phenomenon once confined to equations breaks into the observable world.

PyTorch 2.3 is here 😎🔥

Details:

By Team PyTorch.

Continue reading “PyTorch 2.3 Release Blog” »

Apple today released several open source large language models (LLMs) that are designed to run on-device rather than through cloud servers. Called OpenELM (Open-source Efficient Language Models), the LLMs are available on the Hugging Face Hub, a community for sharing AI code.

As outlined in a white paper [PDF], there are eight total OpenELM models, four of which were pre-trained using the CoreNet library, and four instruction tuned models. Apple uses a layer-wise scaling strategy that is aimed at improving accuracy and efficiency.

Adobe researchers have developed a new generative AI model called VideoGigaGAN that can upscale blurry videos at up to eight times their original resolution. Introduced in a paper published on April 18th, Adobe claims VideoGigaGAN is superior to other Video Super Resolution (VSR) methods as it can provide more fine-grained details without introducing any “AI weirdness” to the footage.

In a nutshell, Generative Adversarial Networks (GANs) are effective for upscaling still images to a higher resolution, but struggle to do the same for video without introducing flickering and other unwanted artifacts. Other upscaling methods can avoid this, but the results aren’t as sharp or detailed. VideoGigaGAN aims to provide the best of both worlds — the higher image/video quality of GAN models, with fewer flickering or distortion issues across output frames. The company has provided several examples here that show its work in full resolution.

Some of the finer details in the demo clips Adobe provided appear to be entirely artificial, such as the skin texture and creases in the below example, but the results appear impressively natural. It would be difficult to tell that generative AI was used to improve the resolution, which could extend the “what is a photo” debate to include video.

1/ OpenAI researchers have proposed a new instruction hierarchy approach to reduce the vulnerability of large language models (LLMs) to prompt injection attacks and jailbreaks.

OpenAI researchers propose an instruction hierarchy for AI language models. It is intended to reduce vulnerability to prompt injection attacks and jailbreaks. Initial results are promising.

Language models (LLMs) are vulnerable to prompt injection attacks and jailbreaks, where attackers replace the model’s original instructions with their own malicious prompts.

Continue reading “OpenAI’s new ‘instruction hierarchy’ could make AI models harder to fool” »