U.S. bombs Iranian nuclear sites

The US and Israel have launched strikes on Iran's nuclear sites, with the damage being described as "monumental", and the situation has sparked a heated exchange at the UN Security Council. The big question now is whether Iran still has the capability to develop a nuclear bomb, and if so, whether the combined US and Israeli attacks have removed or increased the threat of Iran becoming a nuclear-armed state.

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Show HN: Report idling vehicles in NYC (and get a cut of the fines) with AI

The Idle Reporter app for NYC DEP is a free iPhone app that allows users to report idling commercial vehicles in New York City, streamlining the complaint process with features like timestamped video recording and AI-powered form filling. The app is designed to make it easy to submit reports to the Department of Environmental Protection, but users are responsible for ensuring the accuracy and completeness of their reports.

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The AIpocalypse is here for web sites as search referrals plunge

The introduction of AI-generated search summaries, such as Google's AI Overviews, has led to a significant decline in referral traffic to websites, with click-through rates dropping by as much as 30-35%. This shift is causing concern among web publishers, who rely on search referrals for revenue, and has prompted some to file lawsuits against AI firms. The trend is attributed to users relying more on AI-generated summaries for answers, rather than clicking through to the original website.

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AI API Prices are 90% Subsidized

The current pricing of LLM APIs is unsustainable and subsidized, with companies like OpenAI, Anthropic, and Google engaging in aggressive price competition to capture market share, resulting in prices that are often 90% below the actual cost. As the market matures and consolidates, prices are expected to increase, and companies should prepare for this shift by building flexible architectures, monitoring unit economics, and optimizing token consumption to thrive during the transition.

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CTO's at Meta, Open AI, Palantir Became Lieutenant Colonels in the Army

CTOs from Meta, Open AI, and Palantir have become Lieutenant Colonels in the US Army as part of a program to create an "Oppenheimer-like situation" where tech executives can serve in the military while keeping their private sector jobs. The Army's Detachment 201, which includes these executives, aims to eliminate programs that do not contribute to lethality, raising concerns about the potential dual loyalty of these individuals and the impact on the development of superintelligence.

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Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory, High-Throughput AI

The Tensor Manipulation Unit (TMU) is a reconfigurable hardware block designed to efficiently execute data-movement-intensive operators, supporting various tensor transformations with minimal computation. The TMU achieves significant performance improvements, including up to 1413x operator-level latency reduction, and when integrated with a TPU, it reduces end-to-end inference latency by 34.6% in an AI SoC.

ArXiv

Explosive Growth from AI Automation: A Review of the Arguments

Substantial AI automation could potentially accelerate global economic growth by about an order of magnitude, driven by factors such as the scalability of an AI "labor force" and rapid automation. However, while explosive growth seems plausible, high confidence in this claim is unwarranted due to remaining questions about regulatory responses, production bottlenecks, and the rate of AI automation.

ArXiv

KNighter: Transforming Static Analysis with LLM-Synthesized Checkers

KNighter is a novel approach that uses large language models to generate specialized static analyzers for bug detection in critical systems, such as operating system kernels, by leveraging historical bug patterns. The approach has been successfully evaluated on the Linux kernel, where it discovered 92 new critical bugs, with 77 confirmed, 57 fixed, and 16 assigned CVE numbers, demonstrating its effectiveness in scalable and reliable static analysis.

ArXiv

Essential-Web v1.0: 24T tokens of organized web data

Essential-Web v1.0 is a 24-trillion-token dataset with annotated documents covering various categories, created to address the need for massive, well-organized pre-training datasets for language models. The dataset has been used to obtain competitive web-curated datasets in areas such as math, web code, STEM, and medical, and is available on HuggingFace.

ArXiv

Companies should be liable for the serious privacy concerns of LLMs

Reasoning traces from large reasoning models can contain sensitive user data, which can be extracted or leaked, challenging the assumption that these internal processes are safe. Increasing test-time compute approaches, such as more reasoning steps, can amplify this leakage, revealing a tension between improving model utility and enlarging the privacy attack surface.

ArXiv

Show HN: A Tool to Summarize Kenya's Parliament with Rust, Whisper, and LLMs

Bunge Bits is a project that provides concise summaries of Kenyan National Assembly and Senate proceedings, aiming to increase transparency and civic engagement by making legislative information more accessible to citizens. The project utilizes AI-powered tools, including OpenAI's Whisper and ChatGPT, to transcribe and summarize audio recordings of legislative sessions, with the goal of fostering a more informed and participatory democratic process in Kenya.

Repo

Show HN: LLMOne – Deploy LLMs from bare metal to production in hours

LLMOne是一款开源、轻量的企业级大语言模型部署与服务平台，旨在解决传统大模型私有化部署中的复杂性和高成本问题。该平台提供极速自动化部署、专业级推理性能、广泛兼容适配、灵活的模型与应用管理和可视化运维监控等特点，帮助用户快速搭建高性能的大语言模型推理服务。

Repo

Show HN: REPL is the memory layer for multi-agent AI apps – Sherlog‑MCP

Sherlog MCP Server is a powerful Model Context Protocol (MCP) server that provides a persistent IPython workspace for data analysis, log processing, and multi-agent collaboration, offering features such as a persistent IPython shell, DataFrame-centric architecture, and shared blackboard. It can be integrated with external MCP servers and tools, and includes built-in analytics capabilities, such as log analysis and data sources, to support a wide range of data analysis and processing tasks.

Repo

Show HN: Cognition-wheel – parallel LLM fusion with bias masking and judging

The Cognition Wheel is a Model Context Protocol (MCP) server that utilizes a "wisdom of crowds" approach to AI reasoning by consulting multiple state-of-the-art language models in parallel and synthesizing their responses. It can be installed and used via npx or by building from source, and it provides features such as parallel processing, bias reduction, and internet search capabilities, making it a powerful tool for AI-driven applications.

Repo

Open Source AI Presentation Generator

The PPTX Presentation Generator is a tool that uses text generation to create PowerPoint presentations based on a single prompt, supporting OpenAI and Cohere endpoints and allowing users to specify the number of slides. To use the tool, users must clone the repository, install required packages, launch the user interface, and input an API key from either OpenAI or Cohere before submitting their prompt.

Repo