New stories

cyp0633 8 minutes ago

ByteDance Seed2.0 LLM: breakthrough in complex real-world tasks

seed.bytedance.com
1 1
The SEC closed its investigation into Fisker
SilverElfin 9 minutes ago

The SEC closed its investigation into Fisker

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.

techcrunch.com
1 1
Summary
tosh 10 minutes ago

First Proof

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.

1stproof.org
1 0
Summary
Washington pushes back against EU's bid for tech autonomy
frm88 11 minutes ago

Washington pushes back against EU's bid for tech autonomy

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.

politico.eu
2 0
Summary
Apple Reveals How Many iPhones Are Running iOS 26
tosh 13 minutes ago

Apple Reveals How Many iPhones Are Running iOS 26

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.

macrumors.com
2 0
Summary
The Final Bottleneck
tosh 18 minutes ago

The Final Bottleneck

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.

lucumr.pocoo.org
2 0
Summary
Show HN: HelloAria – AI task manager where you talk instead of type
saitharun_stk 19 minutes ago

Show HN: HelloAria – AI task manager where you talk instead of type

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...

helloaria.io
1 1
mawaldne 20 minutes ago

Do Not Outsource Judgement

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.

dncrews.com
2 0
Summary
Painless Activation Steering (PAS)
SashaCui 20 minutes ago

Painless Activation Steering (PAS)

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.

sashacui.substack.com
1 1
Summary
JasonHEIN 26 minutes ago

Show HN: Quantitative analysis of Alphabet (GOOGL) financials

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/

jasonhonkl.github.io
2 0
Summary
kwojcicki 29 minutes ago

I love using TypeScript at work

kwojcicki.github.io
1 0
14 More Lessons from 14 years at Google
talonx 42 minutes ago

14 More Lessons from 14 years at Google

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.

addyosmani.com
4 0
Summary
Show HN: Swarm Curl
ismdeep 42 minutes ago

Show HN: Swarm Curl

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.

github.com
2 1
Summary
aleksandrh 42 minutes ago

The AI Dilemma

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.

aleksandrhovhannisyan.com
2 0
Summary
Cyber Model Arena
ram_rattle about 1 hour ago

Cyber Model Arena

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.

wiz.io
2 0
Summary
Pg_stat_ch: A PostgreSQL extension that exports every metric to ClickHouse
saisrirampur about 1 hour ago

Pg_stat_ch: A PostgreSQL extension that exports every metric to ClickHouse

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.

clickhouse.com
2 0
Summary
ablaba about 1 hour ago

Why haven't humans been back to the moon in over 50 years?

cnn.com
2 1
wenjel about 1 hour ago

Jikipedia, a new AI-powered wiki reporting on key figures in the Epstein scandal

twitter.com
1 0
azabraao about 1 hour ago

Show HN: Heart Note – a tiny web app to send beautiful one‑off digital letters

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.

heartnote.online
2 0
Summary
SnowBall: Iterative Context Processing When It Won't Fit in the LLM Window
puzanov about 1 hour ago

SnowBall: Iterative Context Processing When It Won't Fit in the LLM Window

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.

enji.ai
1 0
Summary
carabiner about 1 hour ago

How to be a good Asian parent (satire)

reddit.com
1 1
The Compliance Officer Who Flagged Epstein – and Lost Her Job
cwwc about 1 hour ago

The Compliance Officer Who Flagged Epstein – and Lost Her Job

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.

levernews.com
1 0
Summary
Convert URLs and Files to Markdown
salkahfi about 1 hour ago

Convert URLs and Files to Markdown

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.

markdown.new
2 0
Summary
northlondoner about 1 hour ago

Podcast: Solving Distributed Message Passing: NATS.io composite learning [video]

youtube.com
1 4
YouTube
ms7892 about 2 hours ago

Lockdown Mode and Elevated Risk Labels in ChatGPT

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.

openai.com
2 0
Summary
Living in the Petri Dish of the Future
herbertl about 2 hours ago

Living in the Petri Dish of the Future

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.

om.co
1 0
Summary
wiredone about 2 hours ago

The feedback you're not giving is the problem you keep having

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.

dougrathbone.com
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Summary
deterministic about 2 hours ago

AI Fails at 96% of Jobs (New Study)

youtube.com
3 2
YouTube
LLM APIs is a State Synchronization Problem
goranmoomin about 2 hours ago

LLM APIs is a State Synchronization Problem

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.

lucumr.pocoo.org
1 0
Summary
jordanappsite about 2 hours ago

Show HN: Lucid – Catch hallucinations in AI-generated code before they ship

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

github.com
3 0