AI

In this tutorial, we create a workflow using The outline generating systematic and type-safe results from language models. We work with typed constraints like Literal, int, and bool, and design information templates using outline.Template, and enforce strict schema validation with Pydantic models. We also use robust JSON recovery and a callback style that generates validated … Read more

In a happy development, the US government has pulled the plug on a proposal that was meant to regulate the export of artificial intelligence chips around the world. The law, proposed by the US Department of Commerce, was published on a government website earlier this week, catching many in Silicon Valley off guard. It’s no … Read more

What if AI-assisted coding became more reliable by separating product planning, developer reviews, releases, and QA into separate workflows? That’s the idea behind Garry Tan gstacka packable open source toolkit Claude Code in 8 workflow capabilities with views supported by the browser’s continuous runtime. The takeit describes itself as ‘Eight workflow skills with Claude Code … Read more

The Google DeepMind team presented Aletheiaa special AI agent designed to bridge the gap between competition-level statistics and professional research. While the models receive gold medal standards in the International Mathematical Olympiad (IMO) of 2025, the research needs to navigate through many books and build a long-horizon proof. Aletheia solves … Read more

From informal chat to detailed simulations and more personal stories, KrushChat offers users the opportunity to engage in conversation without external boundaries. The structure of the platform avoids unnecessary complexity and supports direct communication. This allows participants to focus on the discussion rather than technical limitations. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI … Read more

In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools and access domain-specific information more effectively. Two common methods that have emerged are these abilities again MCPs. Although they may seem similar at first glance, they differ in the way they are organized, the way … Read more

In this tutorial, we use the Colab-ready version of The AutoResearch framework was originally proposed by Andrej Karpathy. We build an automated test pipeline that integrates the AutoResearch repository, configures a lightweight training environment, and runs baseline tests to obtain initial performance metrics. We then create an automated research loop that systematically edits the hyperparameters … Read more

Stanford researchers are silent OpenJarvisan open source architecture framework AI personal agents run entirely on the device. The project comes from Stanford’s Scaling Intelligence Lab and is presented as a research platform and ready-to-deploy infrastructure for the first local AI systems. It focuses on not just modeling, but also the broader software stack needed to … Read more

Tools like ChatGPT, Gemini, and Claude have pushed AI into everyday conversations. Suddenly everyone was talking about AI and a new term that appeared alongside it: Generative AI. Both are commonly used in turnbut they are not the same. Generative AI is not a replacement for AI. It’s part of you. To understand the difference, … Read more

Meta has unveiled four new chips designed to handle tasks such as training and running AI models and recommendations across its social media and other services. The new chips are part of Meta’s Meta Training and Inference Accelerator (MTIA) family and are designed for use in data centers. Meta has been designing its own silicon … Read more