Technology

https://files.catbox.moe/a6111d.png / https://nitter.poast.org/LinusTech/status/1825956050685800834

If you go the video, https://www.youtube.com/watch?v=GsjHMzGl-VY. You will see it's gone. So Youtube being Youtube.

Here's a Odysee mirror of the video, https://odysee.com/@jopec:7/linus-tech-tips-degoogle-your-life-part-2-adfree-youtube:0.

Lumma is an information-stealing malware-as-a-service (MaaS) that has been rented to cybercriminals since 2022 for $250-$1000/month and distributed via various means, including malvertising, YouTube comments, torrents, and, more recently, GitHub comments.

This was published in November 2023, but may be of general interest now, because of current events.

Edit: Removed the photos due to lemmy crawler displaying the toot.

The model, called GameNGen, was made by Dani Valevski at Google Research and his colleagues, who declined to speak to New Scientist. According to their paper on the research, the AI can be played for up to 20 seconds while retaining all the features of the original, such as scores, ammunition levels and map layouts. Players can attack enemies, open doors and interact with the environment as usual.

After this period, the model begins to run out of memory and the illusion falls apart.

TLDR: Google's DeepMind has developed a new open sourced AI system called AlphaProteo, which can design novel proteins that bind to target molecules. This technology has the potential to accelerate progress in various fields, including drug development, disease understanding, and diagnosis.

AlphaProteo was trained on vast amounts of protein data and has learned the intricate ways molecules bind to each other. It can generate candidate proteins that bind to target molecules at specific locations, and its designs have been validated through experiments.

The system has shown promising results, achieving higher experimental success rates and better binding affinities than existing methods. It has also been able to design successful protein binders for challenging targets, such as VEGF-A, which is associated with cancer and complications from diabetes.

However, the system is not perfect and has limitations, such as being unable to design successful binders against certain targets. To address these limitations, DeepMind is working to improve and expand AlphaProteo's capabilities.

The development of AlphaProteo raises important questions about responsible development and biosecurity. DeepMind is working with external experts to develop best practices and is committed to sharing its work in a phased approach.

Overall, AlphaProteo has the potential to revolutionize protein design and accelerate progress in various fields, but it requires careful consideration of its limitations and potential risks.

Oxford PV is delivering its first commercial perovskite solar modules to US customers. The 72-cell solar modules have an efficiency of 24.5% and, according to the company, can generate up to 20% more energy than conventional silicon modules.

Earlier this year, the company set a new efficiency world record of 26.9% with its 60-cell residential-sized module, unveiled at this year’s Intersolar. It claims to have a “clear roadmap” to bring the technology to over 30% efficiency.

A research team at Osaka University in Japan has developed green light wavelength-selective organic solar cells (OSCs) that transmit blue and red light necessary for crop growth and use green light, which contributes only a little to photosynthesis, for power generation.