Isaac Asimov describes how AI will liberate humans and their creativity (1992)

Isaac Asimov described artificial intelligence as a device that performs tasks previously associated with human intelligence, and believed it would liberate humans from mundane work, allowing them to focus on creative pursuits. In his last major interview in 1992, Asimov envisioned a future where humans and computers work together, with each supplying the other's limitations, and advancing progress more rapidly than either could alone.

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LLM Benchmark for 'Longform Creative Writing'

The EQ-Bench Longform Creative Writing Leaderboard evaluates the performance of various language models in generating longform creative writing, with metrics including length, slop, repetition, degradation, and overall score. The leaderboard ranks models such as Gemini, DeepSeek, and Claude, with scores ranging from 80.2 to 26.9, based on their ability to brainstorm, plan, and write a short story or novella from a minimal prompt.

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Evidence suggesting Quasar Alpha is OpenAI's new model

Quasar Alpha, a new AI model on OpenRouter, has quickly become the most used model for computer programming, with evidence suggesting it may be owned by OpenAI or closely mimicking their API. The model has gained traction and ranks in the top 10 across five categories, with users describing it as solid but not state-of-the-art, potentially indicating OpenAI's strategy to disrupt the AI coding models market with a fast, cheap, and smart enough model.

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2025 AI Index Report

Artificial intelligence (AI) is becoming increasingly influential in society, with significant advancements in its technical capabilities, economic impact, and societal effects. The AI Index reports that AI performance has improved dramatically, with AI systems making major strides in areas such as video generation and programming tasks, and its applications are expanding rapidly into various aspects of life, including healthcare, transportation, and business.

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Why do AI company logos look like buttholes?

Many AI company logos feature a circular shape with a central opening, often accompanied by a gradient and radiating elements, which bears a striking resemblance to a butthole. This trend is thought to be the result of a combination of factors, including the psychological appeal of circular designs, unintentional biomimicry, the copycat effect, and design by committee, which has led to a conformity in tech branding where companies prioritize looking legitimate and serious over standing out.

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An autonomous morphing vehicle prototype with enhanced aerodynamic efficiency

Researchers have developed a prototype of a morphing vehicle that can change its shape in response to aerodynamic conditions, resulting in an 8.5% reduction in drag force and improved fuel economy. The study, which used a scaled-down model and wind tunnel testing, demonstrates the feasibility and potential benefits of shape morphing for reducing greenhouse gas emissions and energy consumption in road vehicles.

ArXiv

Analyzing Dehumanizing Metaphors in Immigration Discourse with LLMs

Metaphorical language is prevalent in political discussions, particularly on social media, and can influence how people perceive issues like immigration. A computational approach was developed to measure metaphorical language in 400K US tweets about immigration, revealing that conservatives tend to use dehumanizing metaphors more than liberals, and that certain metaphors can increase user engagement, such as creature-related metaphors used by liberal authors.

ArXiv

Less Quantum, More Advantage: End-to-End Quantum Algorithm for Jones Polynomial

The authors present a quantum algorithm for computing the Jones polynomial, a problem in knot theory, using a noisy digital quantum computer, and demonstrate its implementation on a real quantum computer with error-mitigation techniques. The work also provides a benchmark to characterize noise in quantum processors and compares the quantum algorithm's performance to state-of-the-art classical algorithms, aiming to identify potential near-term quantum advantage.

ArXiv

Π-NeSy: A Possibilistic Neuro-Symbolic Approach

This approach combines a neural network for low-level perception tasks with a possibilistic rule-based system for high-level reasoning, allowing for the derivation of the degree of possibility that an input instance belongs to a target concept. The connection between the two systems enables the transformation of neural network outputs into possibility distributions, providing a valuable explanation of the classification results through the recognition of intermediate concepts.

ArXiv

Show HN: Broswerable- open source browser automation library for agents

Browserable is an open-source browser automation library for AI agents that allows users to build browser agents to navigate sites, fill out forms, and extract information. It provides a range of services, including a UI server, task management API, and database management, and can be set up using a quick start command or manual setup with Docker and Docker Compose.

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Show HN: The Ultimate MCP Client

The Ultimate MCP Client is a comprehensive, asynchronous client for the Model Context Protocol (MCP) that bridges the gap between powerful AI models and external tools, servers, and data sources. It features robust connectivity, a rich user experience through both CLI and Web UI, advanced state management, and seamless integration with various tools and servers, making it a powerful interface for leveraging MCP.

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Sublayer: A model-agnostic Ruby AI Agent framework

Sublayer is a model-agnostic Ruby AI Agent framework that provides base classes for building Generators, Actions, Tasks, and Agents to create AI-powered applications. It supports various AI models, including OpenAI, Gemini, and Claude, and allows for custom providers, with examples and documentation available on the Sublayer website.

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Show HN: 100x faster, cheaper, + reliable than OpenAI and Anthropic Computer Use

The Terminator library is an AI-first, cross-platform UI automation tool for Rust, allowing interaction with native GUI applications on Windows and macOS using a Playwright-like API. It provides a unified API to find and control UI elements, enabling the creation of automation scripts, testing tools, and assistive technologies, with features including element discovery, interaction, and hierarchy traversal, as well as debug support and platform-specific functionality.

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Show HN: Chat.md – file as chat interface with editable history [MCP-client]

Chat.md is a Visual Studio Code extension that allows users to interact with AI models through plain text files, enabling non-linear editing, version control, and sharing of conversations. The extension supports multiple AI models, including Anthropic Claude and OpenAI, and allows for universal tool execution through the Model Context Protocol (MCP), making it a flexible and customizable AI chat interface.

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