Pinterest launches an experimental AI shopping app called ‘Ask Pinterest’
Pinterest has launched 'Ask Pinterest,' an experimental AI-powered shopping app that lets users seek recommendations and inspiration through a conversational interface.
How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention
We implement xFormers, a practical toolkit for fast, memory-efficient Transformer models on GPUs. We validate memory-efficient attention against a standard implementation, then compare speed and memory across sequence lengths. We work through causal masking, packed variable-length sequences, grouped...
Anthropic’s latest feud with the Trump admin may actually help it, sales data suggests
Anthropic's popularity with business users is growing so well that the latest beef with the government might actually boost it, data from Ramp suggests.
AI x Crypto: Two Industrial Revolutions Colliding in Real Time
AI and crypto are no longer separate narratives. Explore how AI supply chains and decentralized crypto networks are merging into a global, tokenized compute economy.
Sixty percent of U.S. consumers say ‘AI’ in brand messaging is a turnoff, survey finds
WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel.
Robinhood’s note on 10% layoffs shows blaming AI isn’t cutting it
Unlike many of his tech industry peers who have cut thousands of jobs citing the need to restructure to make the most of AI, Robinhood's CEO Vlad Tenev conspicuously made no mention of AI in his note about layoffs.
How to Build a Parsing Pipeline with Docling Parse for Layout-Aware Document Intelligence
In this tutorial, we build a workflow that uses Docling Parse to analyze PDF documents at a detailed structural level. We prepare a stable Python environment, handle common Colab dependency issues, and generate a custom multi-page PDF with text, columns, table-like content, vector shapes, and an emb...
Sakana AI Commercializes AB-MCTS in Sakana Marlin, an Enterprise Agent Generating Up to 100-Page Research Reports With Slides
Sakana AI's first commercial product runs autonomously for up to eight hours per task. It returns multi-page reports and slides, built on AB-MCTS and AI Scientist workflows.
The post Sakana AI Commercializes AB-MCTS in Sakana Marlin, an Enterprise Agent Generating Up to 100-Page Research Reports Wit...
SpaceX is public: Everything you need to know post-IPO
TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and maybe some who won't), pre-IPO deals, and what's tucked inside its S-1 registration document.
We’re strengthening our presence in Alabama through new investments and community support.
Google has announced a $1.5 billion investment for 2026 and 2027 to expand its data center campus in Jackson County, Alabama. Operating since 2019 on a repurposed former…
Meet Flash-KMeans: An IO-Aware, Exact K-Means That Runs Over 200× Faster Than FAISS on GPUs
Flash-KMeans is an open-source, IO-aware implementation of standard Lloyd's k-means in Triton GPU kernels. It does not change the math or approximate. FlashAssign removes distance-matrix materialization; Sort-Inverse Update eliminates atomic contention. On an NVIDIA H200, it reports 17.9× end-to-end...
What makes this combustible: at the very moment that tens of thousands of workers are being shown the door, a small cohort of AI insiders is becoming wealthy on a scale that's hard to comprehend.
Claude Code Guide 2026: 25 Features with Examples + Demo
Claude Code is a layered agentic coding tool, not a single chat prompt. This guide breaks down 25 features, from CLAUDE.md, skills, subagents, and hooks to MCP and Auto Mode. It includes a comparison table, working code examples, real use cases, and an interactive demo you can try.
The post Claude C...
A Coding Hands-On on FineWeb for Streaming, Filtering, Deduplication, Tokenization, and Large-Scale Web Corpus Analytics
In this tutorial, we explore the FineWeb dataset through an advanced hands-on workflow. We stream a manageable sample of the dataset without downloading the full multi-terabyte corpus, inspect its schema and metadata, and analyze key fields such as URL, language, language score, and token count. We ...