We mapped the first genome in 1976. Less than 30 years later in 2003, we mapped the first human genome. It's still expensive, but fairly routine now.

How long before we can map an entire human brain? What will it enable?

Meta plans to improve its AI skills by utilizing images captured via smart glasses. These photos will be used to train AI models, potentially boosting applications such as augmented reality and machine learning. This method strives to improve computer vision technology and user experiences in smart devices.

For example, would the consciousness still remain as it was before/would we still maintain our knowledge, and would we realise that we 'died' or would we just blink and wake up like sleeping?

I'm an 18-year-old programmer. I believe that the landscape of business is changing rapidly. As funding gets tougher, businesses are becoming more results-driven, and this is especially true for someone like me living in a third-world country—it's a real test.

I used to be pretty cynical and even a bit misanthropic, but I’ve come to realize that trust and distribution will be key to future success. Creating new products has never been easier, but at the same time, every industry is on the verge of being saturated with passionate people. I believe that "the more passionate people in a field, the fewer your chances of standing out."

I'm looking for books that can help me understand the future landscape of business and how to navigate this evolving environment. Any recommendations would be greatly appreciated!

Just watched a style-transfer of Half-Life using Runway Gen 3—it's leveraging over 192 GB of GDDR5 RAM for the render. It's light years beyond desktop PC capability. This got me thinking: when will we see a true **"Game Engine Upgrader"?**🤯🧐

AI is already proving its ability to automate complex tasks like shader rewriting, lighting adjustments, and texture upscaling, potentially reducing manual work by 99%. You could even say, "upgrade this shader to 2020s GLSL standards with nice metal reflections," and AI could provide modern, optimized shader options.

Texture upgrades could be handled by image generation models, creating high-resolution assets from old BMPs. 🎨It seems possible we’ll soon see AI-driven tools that automatically upgrade entire asset libraries.

I'd love to get an open-source version of Mario Kart and Quake 3 Arena and transliterate them to the latest Unity3d/Unreal engines, and then batch process all the textures and shaders to be super HiFi.

When will AI port entire game engines across platforms? So far, that seems beyond reach. It can handle shaders and code refactoring, but the engine mechanics are complex.

What do you think: are there programmatic processes in development that could fully automate the upgrade of older games to modern engines and standards? Would love to hear thoughts on the technical barriers and potential solutions.

Interesting experiment and conversation starter

Scrub your digital footprints!

Original post https://x.com/AnhPhuNguyen1/status/1840786336992682409

Doc summerizing their process & the tech, along with resources to maintain online privacy https://docs.google.com/document/u/0/d/1iWCqmaOUKhKjcKSktIwC3NNANoFP7vPsRvcbOIup_BA/mobilebasic

Server-based Reverse Image Search https://pimeyes.com/en

Interview Article https://www.404media.co/someone-put-facial-recognition-tech-onto-metas-smart-glasses-to-instantly-dox-strangers/

(Sorry, the Reddit app only lets me put the video or a link, not both.)

Genuinely this is wild - I uploaded this PDF (a survey paper on FHE)... and with a click of a button 30m later, I got an NPR-style podcast on fully homomorphic encryption

Some notes:
1) The running analogy of the kitchen is wild - some how the model is able to draw similarities between topics

2) The model has some awareness of what topics might be novel to a listener and intentionally goes out of the way to include information not in the paper (role of bootstrapping, definitions of the different types of chips, etc)

3) Some pieces it somewhat misses (ASIC accessibility seems to conflate the high upfront cost with the cost of production, but still)