AI agents: Less capability, more reliability, please

Booking flights is often used as a demo for AI agents, but this can be a headache due to the potential for missteps and lack of transparency, when in reality, users value simplicity and reliability over spectacular but erratic performance. To build trust, AI teams should focus on executing a small number of tasks exceptionally well, prioritizing reliability, transparency, and predictability, rather than chasing complex systems that may undermine their credibility.

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Don’t let an LLM make decisions or execute business logic

Large Language Models (LLMs) are not suitable for making decisions or executing business logic due to their limitations in performance, debugging, and reliability, and should instead be used as a user-interface layer to translate user input into API calls and results into text. LLMs excel at transformation, categorization, and understanding human concepts, and should be restricted to these roles to leverage their benefits while avoiding the pitfalls of using them for complex decision-making or critical application state.

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How each pillar of the First Amendment is under attack

The Trump administration has launched an unprecedented attack on the First Amendment, threatening the rights to free speech, religion, press, assembly, and petition, with actions including restricting access to government records, intimidating law firms, and discouraging lawful demonstrations on college campuses. The administration's efforts to undermine these fundamental rights have been met with resistance from judges, law firms, and other groups, who argue that such actions chill speech and legal advocacy, and constitute a constitutional harm.

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Nvidia's latest AI PC boxes sound great – for data scientists with $3k to spare

Nvidia has announced new AI PC boxes, including the DGX Station and DGX Spark, which offer high-performance computing capabilities for AI development and research, but at a steep price of $3,000 for the Spark. While some analysts believe these devices could disrupt the enterprise PC market, others see them as specialized kit for AI developers and data scientists, and unlikely to have a significant impact on the mainstream PC market.

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Agentic AI Needs Its TCP/IP Moment

The development of Agentic AI is hindered by the lack of shared protocols for communication, tool use, memory, and trust, which prevents agents from collaborating and sharing knowledge across different platforms and domains. To unlock the full potential of AI agents, an open, interoperable stack, referred to as the Internet of Agents, is needed, which requires standardization in nine key architectural dimensions, including tool use, agent communication, authentication, and knowledge exchange.

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Autonomous AI Agents Should Not Be Developed

The development of fully autonomous AI agents is argued against due to the increasing risks to people that come with greater autonomy. As AI agents are given more control, the potential benefits are outweighed by growing safety risks that can impact human life and other important values.

ArXiv

Research in AI for SWE is nowhere close to finished

Automated software engineering has made significant progress, but still faces challenges that must be addressed to reach its full potential, where humans can focus on key decisions and routine development is automated. To achieve this, substantial research and engineering efforts are needed, and this paper aims to contribute by providing a taxonomy of tasks, identifying key bottlenecks, and outlining promising research directions to overcome these limitations.

ArXiv

A Framework for Evaluating Emerging Cyberattack Capabilities of AI [pdf]

Evaluating the potential of frontier AI models to enable cyberattacks is crucial for the safe development of Artificial General Intelligence, and current efforts often lack systematic analysis. A new evaluation framework addresses these limitations by examining the end-to-end attack chain, identifying gaps in AI threat evaluation, and providing guidance on targeted defenses, based on an analysis of over 12,000 real-world instances of AI use in cyberattacks.

ArXiv

Cerebras Wafer-Scale Integration vs. Nvidia GPU-Based Systems for AI

Cerebras' wafer-scale engine technology merges multiple dies on a single wafer, addressing challenges of memory bandwidth, latency, and scalability, making it suitable for artificial intelligence. The WSE-3 architecture shows advantages in performance per watt and memory scalability compared to leading GPU-based AI accelerators, but still requires work to address cost-effectiveness and long-term viability.

ArXiv

Graph neural networks extrapolate out-of-distribution for shortest paths

Neural networks struggle to generalize to out-of-distribution inputs, but incorporating ideas from classical algorithms into neural architectures can improve their ability to do so. Researchers have shown that graph neural networks trained with a specific loss function can exactly implement the Bellman-Ford algorithm for shortest paths, allowing them to extrapolate to arbitrary shortest-path problems, even with limited training data.

ArXiv

Show HN: WhatsApp MCP Server

This WhatsApp Model Context Protocol (MCP) server allows users to search their personal WhatsApp messages, contacts, and send messages to individuals or groups by connecting their WhatsApp account directly via the WhatsApp web multidevice API. The server stores messages locally in a SQLite database and provides tools for Claude, a large language model, to interact with WhatsApp data and send/receive messages.

Repo

LLM Workflows then Agents: Getting Started with Apache Airflow

The airflow-ai-sdk repository provides an SDK for integrating large language models (LLMs) into Apache Airflow pipelines, allowing users to call LLMs and orchestrate agent calls directly within their workflows. The SDK offers features such as LLM tasks, agent tasks, automatic output parsing, and branching, and supports various models from the Pydantic AI library, including OpenAI, Anthropic, and Cohere.

Repo

Show HN: CVE-Bench, the first LLM benchmark using real-world web vulnerabilities

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Repo

Show HN: MCP Neovim Server – Tiny AI Text Assistant for Neovim

The Neovim MCP Server is a proof of concept integration between Neovim and Claude Desktop using the Model Context Protocol, allowing Claude to view and edit Neovim buffers, run Vim commands, and more. The server provides a set of tools for interacting with Neovim, including viewing buffers, running commands, and making edits, and can be configured and used with Claude Desktop through a simple setup process.

Repo

Show HN: Less Slow C++: Revisiting Performance Tricks for C/C++/CUDA/Asm/PTX

This repository provides practical examples of writing efficient C and C++ code, leveraging C++20 features and designed for GCC and Clang compilers on Linux. The project includes benchmarks and code snippets that demonstrate various performance optimization techniques, such as improving trigonometry calculations, optimizing input generation, and using compiler flags for better performance.

Repo