I am building alternative ways explore scientifc literature. The goal was to make the large number of papers published daily easier to keep up with by visualising the macro scopic trend. It is free to use at The Global Research Space for any one interested in giving it a try! How I built it I sourced the latest 11M papers from OpenAlex and Arxiv and ecoded them using SPECTER 2 on titles and abstracts then projecting it down to 2d using UMAP and creating labels within voronoi bounds around high density peaks at increasingly deep depths. There is also support for both keyword and semantic queries, and there's an analytics layer for ranking institutions, authors, and topics etc. I have also more recently added to ability to slide back and forth in time and a daily auto ingestion script to ensure the map is up to date. Feedback or suggestions is very welcome! submitted by /u/icannotchangethename [link] [留言]

The product that makes AI recommend your brand Discussion | Link

The original Ninja Slushi has been replaced! The new best slushie machines chill faster and make soft serve.

TL;DR Anthropic recently published When AI Builds Itself, an essay explaining how AI is...

submitted by /u/_jindo_ [link] [留言]

July is just around the corner, and that means... It’s time for some new desktop wallpapers! As every month, the wallpapers in this collection were created by the community for the community and can be downloaded for free. Enjoy!

Bitdefender VPN has an excellent starting price, even if it lacks the advanced features that privacy nerds may want.

I had a lot of work to get through, and for once I didn't want to crawl through it one ticket at a...

submitted by /u/the-15th-standard [link] [留言]

Imagine an e-bike motor that lets you select your preferred pedaling cadence and then automatically adjusts the gears to keep your legs spinning at that exact speed, no matter how steep the hill gets - all without a fragile derailleur or heavy multi-speed cassette to maintain. Prefer manual control? No problem, you can have as […]

For decades, the senator has argued that concentrated wealth threatened American democracy. Now he’s betting that frustration with Big Tech, billionaires, and unchecked AI is reaching a tipping point.

Apple. Anthropic. Disney Research. Google. Meta. Microsoft. NVIDIA. OpenAI. Few places outside Silicon Valley can claim R&D hubs from all of these companies. Fewer still are concentrated in a city of just over 400,000 people—roughly half the size of San Francisco. Over the past two decades, however, many of the world’s most influential technology companies…