We shipped a new feature in the Anthropic API today: Search result content blocks. This enables natural citations with proper source attribution for all RAG content, bringing web search-quality citations to your custom search tools.
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Major Open Source AI Project Release Announced
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Keep notifications on because this will be released open source. Changed the world with Claude Engineer once, we'll do it again.
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Building Advanced Local AI Agent for Operating System
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In preparation for OpenAI's upcoming open-source model, I'm building the world's best local agent
— Pietro Schirano (@skirano) 3 juillet 2025
It seamlessly integrates with my OS, auto accesses my clipboard, is Finder-aware, creates/reads files, searches the web, and updates text in any app.
Local Jarvis. pic.twitter.com/DbH5snZqsfIn preparation for OpenAI's upcoming open-source model, I'm building the world's best local agent It seamlessly integrates with my OS, auto accesses my clipboard, is Finder-aware, creates/reads files, searches the web, and updates text in any app. Local Jarvis.
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Improved AI Model for Codebase Retrieval Announced
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We’ve trained an even better model for codebase retrieval.
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Cursor adds to-do lists, PR search, and faster Tab feature
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Cursor can now make to-do lists, search PRs, and queue messages. We’ve also made Tab much faster. pic.twitter.com/r501BWgJId
— Cursor (@cursor_ai) 3 juillet 2025Cursor can now make to-do lists, search PRs, and queue messages. We’ve also made Tab much faster.
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PyTorch NumPy Implementation Code Repository Released
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here's where the code lives: https://
github.com/pytorch/pytorc
h/tree/main/torch/_numpy
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PyTorch torch.compile Advanced Indexing Bug Report Filed
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the numpy compatible torch.compile behavior is definitely a bug. the expected behavior is the numpy output should be the same as torch.compile output.
torch's advanced indexing differing from numpy's advanced indexing is a bit of an aside.
I've just filed a bug report, -
Firecrawl: Powerful Web Scraping Tool for Data Extraction
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Firecrawl is insane tool for web scraping. Works wonderfully
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RAG vs CAG: Technical Breakdown and Code Comparison
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New video! In this one, we are finally settling it between RAG and CAG… with code! A few weeks ago, I partnered with my friend Miguel Otero Pedrido to make a hands-on technical breakdown to choosing the right approach. Here it is… (link to the article and code in the video
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Nanonets-OCR-s: Advanced Document Understanding Beyond Text Extraction
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Nanonets-OCR-s: Enabling Rich, Structured Markdown for Document Understanding Most OCR tools stop at text.
But real-world documents are more than words, they’re tables, logos, watermarks, and structure. Nanonets-OCR-s doesn’t just extract, it understands.
A next-gen