Author: Hunter
-
Some nice upgrades for Apple’s best gadgets
Hi, friends! Welcome to Installer No. 74, your guide to the best and Verge-iest stuff in the world. (If youâre new here, welcome, sorry in advance for my terrible TV taste, and also you can read all the old editions at the Installer homepage.) This week, Iâve been reading about Bybit, Walmart, and sports analytics;… Read more
-
New Proofs Expand the Limits of What Cannot Be Known
By proving a broader version of Hilbert’s famous 10th problem, two groups of mathematicians have expanded the realm of mathematical unknowability. Read more
-
How to Clean Everything On Your Bed (2025)
From comforters to sheets, pillows, and bed frames, here’s how to keep your bed in tip-top shape. Read more
-
How to Arrange Your Room for the Best Sleep
These tips and tricks will help your dreams stay sweet. Read more
-
Meet Manus: A New AI Agent from China with Deep Research + Operator + Computer Use + Lovable + Memory
In today’s digital era, the way we work is rapidly evolving, yet many challenges persist. Conventional AI assistants and manual workflows struggle to keep pace with the complexity and volume of modern tasks. Professionals and businesses face repetitive manual processes, inefficient research methods, and a lack of true automation. While traditional tools offer suggestions and… Read more
-
Evaluating Brain Alignment in Large Language Models: Insights into Linguistic Competence and Neural Representations
LLMs exhibit striking parallels to neural activity within the human language network, yet the specific linguistic properties that contribute to these brain-like representations remain unclear. Understanding the cognitive mechanisms that enable language comprehension and communication is a key objective in neuroscience. The brain’s language network (LN), a collection of left-lateralized frontotemporal regions, is crucial in… Read more
-
This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization
Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. The latest GPUs struggle with tremendous bandwidth limitations as they are constantly needed to move data between varying levels of memory. This process… Read more
-
Microsoft and Ubiquant Researchers Introduce Logic-RL: A Rule-based Reinforcement Learning Framework that Acquires R1-like Reasoning Patterns through Training on Logic Puzzles
Large language models (LLMs) have made significant strides in their post-training phase, like DeepSeek-R1, Kimi-K1.5, and OpenAI-o1, showing impressive reasoning capabilities. While DeepSeek-R1 provides open-source model weights, it withholds training code and dataset details, raising questions about scaling reasoning abilities to smaller models, optimal training data structures, and reliable replication methodologies. Traditional mathematics datasets like… Read more
-
Inception Unveils Mercury: The First Commercial-Scale Diffusion Large Language Model
The landscape of generative AI and LLMs has experienced a remarkable leap forward with the launch of Mercury by the cutting-edge startup Inception Labs. Introducing the first-ever commercial-scale diffusion large language models (dLLMs), Inception labs promises a paradigm shift in speed, cost-efficiency, and intelligence for text and code generation tasks. Mercury: Setting New Benchmarks in… Read more
-
Retroid offered very limited returns for its unfixable handheld
The Retroid Pocket Mini has an unfixable issue that’s causing certain graphical effects for emulated games not to work properly. Retroid, the China-based company that makes the Pocket Mini, announced on Discord that it will accept returns of the device but only during a limited March 8th to March 14th window — and capped at… Read more