This is a heavyweight partnership that has shaken the AI industry. According to the latest report from Latent Space, AI unicorn Anthropic has reached an…
In the field of machine learning, "knowledge distillation" is a well-established technique that generally refers to using the output data generated by a…
In today's AI landscape, the performance gap between open-weights models (such as Meta's Llama family) and closed-source models (such as OpenAI's GPT and…
In this forward-looking article on the state of AI in mid-2026, Interconnects founder Nathan Lambert takes a deep dive into the dynamic gap between open-weight…
In this opinion piece published in Interconnects, prominent AI policy and technology critic Nathan Lambert delivers a sharp critique of the excessive panic…
With the explosion of AI Agent technology, developers are shifting from building simple "chat interfaces" to constructing Agent systems capable of autonomously…
In this article from the well-known AI commentary blog Interconnects, author Nathan L. analyzes GPT 5.4, focusing specifically on the significant changes it…
Wharton School professor Ethan Mollick, in his latest article "The Shape of the Thing," sketches out a clear picture of the current state of AI technological…
In this column published in Interconnects, author Nathan Lambert cites the latest observations from policy expert Dean Ball on the high-profile "Anthropic v…
Anthropic recently published research on "distillation attacks," defining the practice of external developers using its API outputs to train other models as a…
Prominent scholar Ethan Mollick, in his latest article, points out that we have officially crossed beyond the era of simple "Chatbots" and entered what he…
This article by Nathan Lambert takes a deep dive into the tangled competitive dynamics between open-source and closed-source AI models. Lambert argues that…
As the demand for computational efficiency in deep learning models continues to grow, writing custom CUDA kernels (GPU core programs) has become a key…
In 2026, with the release of next-generation models such as Anthropic's Opus 4.6 and OpenAI's Codex 5.3, the AI community faces a fundamental challenge…
As AI coding agents such as Cursor, Claude Code, and GitHub Copilot become everyday tools for developers, software vendors and SaaS companies face a new…
### Background and Challenge: Why Is CUDA Programming So Hard for AI? CUDA (Compute Unified Device Architecture) is a parallel computing platform and…
In its latest technical blog post, Vercel shared a significant finding regarding AI Agent architecture: in their Agent Evaluations (Agent Evals), using a…
With the rise of AI Agents (such as Claude Code, Cursor, etc.), the developer community has begun to rethink: do we need to design complex, dedicated APIs for…
### The Age of Practical AI Agents Has Arrived In this edition of his column, Jack Clark shares his personal breakthrough in using AI Agents. Previously, many…
Wharton School professor Ethan Mollick, in his latest article, examines Anthropic's newly launched command-line tool "Claude Code" in depth, arguing that it…
When building AI applications, developers often fall into the trap of "more tools equals a smarter Agent." In early versions of Vercel's AI assistants and…
As large language models (LLMs) are deployed across a wide range of industries, ensuring the "factuality" of model outputs and reducing "hallucination" has…
Hugging Face recently shared a highly inspiring experiment: how to use Anthropic's Claude (as an AI Agent) to automate the fine-tuning of an open-source large…
As AI tools (such as ChatGPT, Claude, and others) become more prevalent in the workplace, we are increasingly relying on them for decision-making advice…
Wharton School professor Ethan Mollick has put together a highly personal and practical operating guide for the AI landscape of late 2025. He emphasizes that…
Vercel officially announced the launch of "402-mcp" in its Changelog — an important update that injects commercial capabilities into the Model Context Protocol…
Vercel has officially launched a new open protocol called "x402-mcp," designed to establish a standardized payment and billing mechanism for Model Context…
University of Pennsylvania Wharton School professor Ethan Mollick, in his latest article, compares the experience of collaborating with generative AI (such as…
With Anthropic's introduction of the Model Context Protocol (MCP), the development paradigm for AI applications is undergoing a quiet revolution. In a recent…
As the use of AI in academic research becomes increasingly widespread, enabling large language models (LLMs) to access the latest scientific literature in real…