New stories

The SEC has closed its investigation into electric vehicle company Fisker, finding no wrongdoing. The investigation examined Fisker's finances and operations prior to its bankruptcy filing in 2013.

1stproof.org is a platform that helps writers, editors, and content creators improve their work through professional proofreading and editing services, providing detailed feedback and revisions to enhance the quality and clarity of written content.

The article discusses the European Union's push for technological autonomy and self-reliance, which is facing resistance from the United States. It explores the tensions between the EU's efforts to reduce dependence on foreign technology and the U.S. government's attempts to maintain influence in the global tech landscape.

Apple has shared adoption statistics for iOS 26, with 72% of compatible devices running the latest version of the operating system as of February 2026. The article highlights the steady increase in iOS 26 adoption, indicating strong user interest and engagement with Apple's software updates.

The article discusses the potential impact of technological advancements on the job market, suggesting that the final bottleneck in automation may be in the creative and cognitive domains, which could lead to significant disruptions and the need for new approaches to education and employment.

I built HelloAria because every task manager I tried required too many steps to do something simple. The core idea: say "remind me to review the PR tomorrow at 10" and it creates the task, sets the reminder, and files it. No forms, no manual input. It works on iOS natively and also through WhatsApp, Telegram, and email — so you can capture tasks from wherever you already are. Tech stack: Swift/SwiftUI on the client, with NLP handling the intent parsing and entity extraction from natural language input. Looking for feedback from the HN community. What would make this actually useful for your workflow? App Store: : https://apps.apple.com/us/app/helloaria-reminders-to-dos/id6...

The article argues that organizations should not outsource critical decision-making and judgment to AI or algorithms, as these systems can lack the nuance and context required for complex human situations. It emphasizes the importance of maintaining human oversight and decision-making, particularly in sensitive or high-stakes scenarios.

The article discusses painless activation steering (PAS), a technique used in open-source software projects to engage and activate contributors. It explains how PAS can help expand participation and foster a sense of community in open-source development.

Hi HN, Pardus AI Quant Team here. We just published a detailed quantitative analysis of Alphabet (GOOGL) – financial metrics, valuation, growth drivers, risks, all data-driven. View the full report: https://jasonhonkl.github.io/#alphabet-quantitative-analysis Feedback welcome – what stocks should we analyze next? Thanks! Pardus AI – https://pardusai.org/

This article presents 14 lessons that web developers can learn to improve their skills and practices, covering topics such as performance optimization, developer workflow, and code quality.

The article discusses swarm-curl, a tool that allows users to execute cURL commands in parallel across multiple hosts, improving efficiency and reducing the time required for large-scale network operations.

The article explores the ethical dilemma surrounding the use of AI, discussing the potential benefits and risks, and emphasizing the need for responsible development and implementation of AI technology to ensure it is aligned with human values and interests.

The article discusses the Cyber Model Arena, a simulated environment developed by Wiz to help organizations test and validate their cloud security posture. It highlights the platform's ability to emulate real-world cloud infrastructure and provide actionable insights to improve cloud security and reduce cyber risks.

The article introduces pg_stat_ch, a Postgres extension that allows users to easily export Postgres server statistics to ClickHouse, a high-performance analytical database. This enables users to analyze Postgres server performance data using ClickHouse's powerful analytical capabilities.

Heartnote is an online platform that connects healthcare providers with patients, offering secure video consultations, digital prescriptions, and personalized care plans to improve accessibility and convenience of medical services.

The article discusses a novel approach to text analysis called Snowball, which uses iterative context processing to improve the performance of natural language processing tasks. The method involves building context-aware representations of text and iteratively refining them to capture more nuanced semantics.

The article profiles Eileen Foster, a compliance officer who was fired after she flagged suspicious activity by Jeffrey Epstein at financial institutions. It explores her whistleblowing efforts and the aftermath of her dismissal.

The article provides a guide for using the Markdown.new web-based Markdown editor, allowing users to easily create and format Markdown documents online without the need for local software.

OpenAI announces the introduction of Lockdown Mode and Elevated Risk Labels in ChatGPT, aimed at enhancing security and mitigating potential misuse of the AI assistant.

The article explores the concept of 'living in the petri dish of the future,' examining how advancements in technology, particularly in the fields of biotechnology and data collection, are transforming our living environments and personal experiences in ways that resemble a controlled laboratory setting.

The article discusses the importance of providing constructive feedback to employees, and how the lack of feedback can lead to recurring problems in the workplace. It emphasizes the need for managers and leaders to actively engage in giving feedback to help their teams improve and grow.

The article discusses the potential impact of Large Language Models (LLMs) on the future of APIs, highlighting the possibility of LLMs replacing traditional API endpoints and the challenges this may pose for developers and businesses.

Hi HN, I'm Ty. I built LUCID because I kept shipping bugs that my AI coding assistant hallucinated into existence.

Three independent papers have proven that LLM hallucination is mathematically inevitable (Xu et al. 2024, Banerjee et al. 2024, Karpowicz 2025). You can't train it away. You can't prompt it away. So I built a verification layer instead.

How it works: LUCID extracts implicit claims from AI-generated code (e.g., "this function handles null input," "this query is injection-safe," "this handles concurrent access"), then uses a second, adversarial AI pass to verify each claim against the actual implementation. You get a report showing exactly what would have shipped to production without verification.

"But can't the verifier hallucinate too?" Yes -- and that's the right question. The benchmarks below were validated by running real test suites, not by trusting LUCID's judgment. The value is that structured claim extraction + adversarial verification catches bugs that a single generation pass misses. The architecture also supports swapping LLM verification for formal methods (SMT solvers, property-based testing) per claim type as those integrations mature.

Benchmarks:

- HumanEval: 86.6% baseline -> 100% pass@5 with LUCID (164/164 problems) - SWE-bench: 18.3% baseline -> 30.3% with LUCID (+65.5%) - Both benchmarks were validated by running actual test suites, not by LLM judgment - LLM-as-judge actually performs worse at higher k values -- it hallucinates false positives

Three ways to use it:

1. MCP Server (Claude Code, Cursor, Windsurf) -- one config line, verification as a native tool 2. GitHub Action -- automated verification on every PR with inline comments 3. CLI -- npx lucid verify --repo /path/to/code

Free tier: 100 verifications/month. Get a key at https://trylucid.dev

Code: https://github.com/gtsbahamas/hallucination-reversing-system Paper: https://doi.org/10.5281/zenodo.18522644 Dashboard: https://trylucid.dev