Watch: Google DeepMind CEO and AI Nobel winner Demis Hassabis on CBS’ ’60 Minutes’
The segment ended with a meditation on the future: a world where AI tools could transform almost every human endeavor.Read More
The ACLU Is Suing the Government to Get Access to DOGE Records
The ACLU claims the Department of Veterans Affairs and the Social Security Administration have violated the Freedom of Information Act.
Read to Save Your GPU!
I can confirm this is happening with the latest driver. Fans weren‘t spinning at all under 100% load. Luckily, I discovered it quite quickly. Don‘t want to imagine what would have happened, if I had been afk. Temperatures rose over what is considered safe for my GPU (Rtx 4060 Ti 16gb), which makes me doubt …
2027 AGI forecast maps a 24-month sprint to human-level AI
The newly published AI 2027 scenario offers a detailed 2 to 3-year forecast for the future that includes specific technical milestones.Read More
The 6 Best Blow-Dry Brushes of 2025
Looking for an easy blowout at home? These powerful blow-dry brushes can achieve the look by blending a blow dryer and hair brush into one easy gadget.
Stumbling and Overheating, Most Humanoid Robots Fail to Finish Half Marathon in Beijing
Only four of the 21 robots in the race crossed the finish line, highlighting just how far humanoids are from keeping up with their real human counterparts.
Humanoid robots stride into the future with world’s first half-marathon
Step by mechanical step, dozens of humanoid robots took to the streets of Beijing early Saturday, joining thousands of their flesh-and-blood counterparts in a world-first half marathon showcasing China’s drive to lead the global race in cutting-edge technology.
Further Applications with Context Vectors
This post is divided into three parts; they are: • Building a Semantic Search Engine • Document Clustering • Document Classification If you want to find a specific document within a collection, you might use a simple keyword search.
Building a RAG Pipeline with llama.cpp in Python
Using llama.
FastVLM: Efficient Vision encoding for Vision Language Models
Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image understanding tasks. However, popular visual encoders such as ViTs become inefficient at high resolutions due to the large number of tokens and high encoding latency. At different operational resolutions, the vision encoder of a VLM …
Read more “FastVLM: Efficient Vision encoding for Vision Language Models”