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view articleAbstract page for arXiv paper 2601.16670: The Green Side of the Lua
We’re working on an adventure game, Leonardo’s Moon Ship. The player character, Leo, has the usual pile of animations: idle left and right, walk in …
Abstract page for arXiv paper 2510.04950: Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
SimCity 3000 is the best SimCity. Its only problem is that it doesn't run well on contemporary systems. Not to worry, here's a complete guide to a perfect game of SimCity 3000 on modern Windows:...
So, apparently we are at the cusp of the entire world’s white collar workforce (and, by extension, much of the US workforce) undergoing a revolution in productivity. AI is the technology that is going to revolutionize the way we work, the way we interact with the world, the way we learn, the way we socialize, and all of this. This sounds great. Really, it does. Everything getting faster and easier would be an extraordinary boon to all of our lives.
Importing 1.2 million messages from Telegram, VK, Instagram, Facebook, and Twitter into a structured Obsidian vault with local LLM inference - to measure how my friendships work with decay curves, vocabulary shifts, directional sentiment, and conflict rates.
RamAIn builds the world's fastest computer-use agents for enterprise work. We're a YC W26 company on a mission to eliminate repetitive, manual workflows by training AI agents that operate legacy systems, desktop apps, and web portals the same way humans do — but 10× faster and more reliably. Founders RamAIn was founded by Shourya Vir Jain (CEO) and Vansh Ramani (CTO), who met at IIT Delhi and dropped out to build AI-native automation for enterprise workflows. Shourya previously worked at McKinsey, where he saw firsthand how much enterprise work still depends on manual interaction with legacy systems. He is also a FIDE-rated chess player (2118), was ranked top-20 globally under 16, and previously built and scaled an enterprise AI company
I wrote recently about what Google, Yahoo, Microsoft, and Apple are doing to your email: how four providers stopped being transport layers and turned into active intermediaries between brands and their customers, parsing, ranking, summarising, and increasingly answering on the recipient's behalf.
Coffee in hand, I sit down in the Cave. Any Tuesday during the work week, a sip, and I parse the calendar. 1:1 — he's fine. Status meeting — listen. Staff me
The complaint from the Southern District of New York comes just over a month after another insider trading case on Polymarket. ,The complaint from the Southern District of New York comes just over a month after another insider trading case on Polymarket.
We've heard consistently from our community that they value transparency when it comes to generative AI content. Two new updates will make this process much simpler and more intuitive for creators and viewers on YouTube.
People just want a choice.
Alibaba gave Qwen3.7-Max a kernel optimization task on a hardware platform the model had never encountered before. No documentation or profiling data. No example kernels for the architecture. Just a task description, an existing implementation, and an evaluation script. The model ran for 35 hours. It made 1,158 tool calls. It wrote, compiled, profiled, and rewrote the kernel repeatedly, diagnosing failures, fixing bugs, identifying blocks, and redesigning the architecture multiple times without anyone watching. After 30 hours it was still finding meaningful improvements. The final result was a 10x speedup over the reference implementation. For context: GLM 5.1 ran the same task and reached 7.3x. Kimi K2.6 reached 5x. DeepSeek V4 Pro reached