But what if I want a faster horse?

The concept of creating entirely new markets, as illustrated by Henry Ford's "faster horses" quote, doesn't always apply, and sometimes people just want a better version of what they already have. The author reflects on how services like Netflix and Spotify have changed over time, and now prioritize an "experience" over a reliable catalog and user control, with features like auto-generated content and endless recommendations that can be overwhelming.

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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 resemblance to a butthole. This design trend, dubbed "The Butthole Era," is thought to be the result of a combination of factors, including the psychological appeal of circular shapes, unintentional biomimicry, the copycat effect, and design by committee, which has led to a conformity in tech branding where companies prioritize looking legitimate and professional over standing out.

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Our New AI Website Builder

WordPress.com has introduced a new AI website builder that allows users to create a fully designed and content-ready WordPress website by simply having a conversation with the AI. The builder is ideal for entrepreneurs, freelancers, bloggers, and developers who want to launch a great-looking website quickly and easily, and it streamlines the process by taking the user's input and instantly creating a website with text, layouts, and images.

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AI Coding and the Peanut Butter and Jelly Problem

The author reflects on their experience with AI tools, noting that while they have made tremendous progress, they still struggle with understanding nuanced instructions, much like a computer science class exercise where students had to give step-by-step instructions to make a peanut butter and jelly sandwich. The author concludes that the key to success with AI is not prompt engineering, but rather clarity and communication, having a clear vision of what you want built and being able to explain it in precise terms.

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Google Is Winning on Every AI Front

Google DeepMind has made a significant comeback in the AI space, with its Gemini 2.5 model outperforming other models, including OpenAI's ChatGPT, in various benchmarks and tasks. The company's dominance extends beyond text-based models, with impressive advancements in music, image, video, and voice generation, as well as agent technology, positioning Google as a leader in the AI industry.

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Defeating Prompt Injections by Design

Large Language Models (LLMs) used in interactive systems are vulnerable to prompt injection attacks, but CaMeL, a proposed defense system, protects LLMs by separating control and data flows and preventing unauthorized data exfiltration. CaMeL has been shown to be effective, achieving provable security in 67% of tasks in the AgentDojo benchmark, a recent test of agentic security.

ArXiv

Impact of Triangular-Toothed Gears on the Functionality of Antikythera Mechanism

The Antikythera mechanism is based on a complex system of interconnected gears. with recent analyses have highlighted the influence of triangular tooth profiles and manufacturing inaccuracies on its performance. This study combines Alan Thorndike's analytical solution with Mike Edmunds' error model accounting for manufacturing imprecisions.

ArXiv

Security and Privacy Issues in WhatsApp's Handshake Mechanism

WhatsApp uses end-to-end encryption with Perfect Forward Secrecy (PFS) to secure conversations, but researchers have found a vulnerability in the form of a targeted depletion attack on one-time prekeys. This attack can degrade PFS for certain messages, exposing privacy risks and availability implications, particularly when refilling and distributing new prekeys.

ArXiv

KIMI-VL (Efficient Open-Source Moe VLM) Techical Report

Kimi-VL is an efficient open-source vision-language model that offers advanced multimodal reasoning and strong performance while only activating 2.8B parameters, allowing it to be competitive with cutting-edge models. The model demonstrates strong capabilities across various tasks, including image and video comprehension, mathematical reasoning, and long-context understanding, and its variant Kimi-VL-Thinking, exhibits strong long-horizon reasoning capabilities.

ArXiv

Show HN: HelixDB – Native Graph and Vector Types for RAG and Retrieval

HelixDB is a high-performance, multi-model database built for simplicity and performance, with native support for vector data types and a focus on developer experience. It offers features such as fast query latency, ACID compliance, and reliable storage, and is available as a fully managed cloud service, with a free version licensed under the GNU General Public License v3.0.

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Show HN: RAG, No Vectors

PageIndex is a system that transforms lengthy documents into a tree structure, enabling Large Language Models (LLMs) to traverse and retrieve relevant information in a more logical and precise manner. The system is designed to handle hundreds or thousands of pages with ease, and is particularly useful for domain-specific tasks where nuance matters, such as financial reports, academic textbooks, and technical manuals.

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

Terminator is an AI-first cross-platform UI automation library for Rust, designed to interact with native GUI applications on Windows and macOS using a Playwright-like API. It provides a unified API to find and control UI elements, and is 100x faster and more reliable than vision-based approaches due to its use of OS-level accessibility APIs.

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Show HN: Useful tool designed and written by Gemini 2.5

Xolmis is a terminal output transformer that automatically identifies and embeds hyperlinks around text patterns in the output of shell commands, allowing users to click on them. The tool acts as a wrapper around an interactive shell, intercepting input and output to dynamically inject hyperlinks, and can be used to enhance the shell experience with clickable links.

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Show HN: Deebo, An autonomous debugging MCP server for AI coding agents

Deebo is an autonomous debugging system that integrates into coding agent workflows using the Model Context Protocol (MCP), allowing it to investigate software bugs, run experiments, and report validated fixes without human intervention. Deebo can be used by coding agents like Claude Desktop or Cline to offload tricky bugs, and it exposes four MCP tools: start, check, cancel, and add_observation, to manage debugging sessions and log observations.

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