Hacker News

Article URL: https://twitter.com/europa/status/2020851497437708297

Comments URL: https://news.ycombinator.com/item?id=46959628

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/2026/02/10/apple_google_uk_app_stores/

Comments URL: https://news.ycombinator.com/item?id=46959095

Points: 1

# Comments: 0

Article URL: https://www.cdomagazine.tech/aiml/taiwan-passes-landmark-ai-governance-framework

Comments URL: https://news.ycombinator.com/item?id=46959093

Points: 1

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Article URL: https://github.com/Mapika/portview

Comments URL: https://news.ycombinator.com/item?id=46959091

Points: 2

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Article URL: https://appiliy.com

Comments URL: https://news.ycombinator.com/item?id=46959082

Points: 1

# Comments: 1

Hi HN — I’ve been building something unusual and would love your feedback.

Arcane Temple is a gamified learning platform exploring the science and structure of spirituality through level‑based study, quests, and a progression system. It’s for people who take inner development seriously but don’t resonate with traditional religion or New Age fluff — a kind of “intellectual home” for the spiritually curious.

The idea came from a simple observation: millions of people explore meditation, mysticism, altered states, myth, and consciousness, but there’s no shared framework or cohesive narrative. So I built an LMS that treats spirituality as a field of study — something you can investigate, practice, and level up through structured learning rather than belief.

The platform includes 40+ hours of free foundational content, a development‑archetype quiz, unlockable workshops, and a progression system. After the free levels, membership is $7/month and unlocks deeper content and meetings, but the core of the Temple will always remain open.

This isn’t a dogma project. It’s an open‑source investigation into the “arcane” — the underlying principles that show up in science, myth, psychology, and human development. I’m trying to build a serious training ground for people who want to explore the inner world with the same rigor they bring to the outer one.

I’m looking for early members who want to help shape the Temple. If you’re curious about the intersection of spirituality, science, and learning design — or if you just enjoy testing new platforms — I’d love your feedback. Early contributors become part of the “Inner Circle,” which just means you help refine the curriculum, stress‑test the gamification, and influence the direction of the project.

I’m ready for honest critique. Let me have it. Link: ArcaneTemple.com

Comments URL: https://news.ycombinator.com/item?id=46959070

Points: 1

# Comments: 1

Article URL: https://www.bbc.com/news/articles/ckgzv529v5no

Comments URL: https://news.ycombinator.com/item?id=46959067

Points: 3

# Comments: 0

Article URL: https://github.com/Zaneham/jovial-compiler

Comments URL: https://news.ycombinator.com/item?id=46959059

Points: 1

# Comments: 0

Article URL: https://newsletter.eng-leadership.com/p/96-engineers-dont-fully-trust-ai

Comments URL: https://news.ycombinator.com/item?id=46959055

Points: 1

# Comments: 0

Article URL: https://giacomocavalieri.me/writing/testing-can-be-fun-actually

Comments URL: https://news.ycombinator.com/item?id=46959038

Points: 1

# Comments: 0

I implemented neural networks and Q-learning in pure PowerShell - no Python, TensorFlow, or external dependencies.

Why? I teach IT professionals who live in PowerShell. Python ML examples don't resonate. Building from scratch teaches fundamentals better than using black-box libraries.

What's included:

- Neural networks: Backpropagation, gradient descent, multiple activation functions - Q-learning agents: Experience replay, epsilon-greedy exploration, reward shaping - Environment simulation: Market competition, resource optimization - Real-time visualization dashboards

Technical details:

- Pure PowerShell (classes, no C# interop) - ~3000 lines of code - Compatible with PowerShell 5.1+ (Windows/Linux/Mac) - Available on PowerShell Gallery

Example use case: Q-learning agent learns to build ASCII castles through trial-and-error. Agent receives aesthetic rewards and discovers patterns without hardcoded rules.

Practical applications: - IT automation that adapts to patterns - Predictive maintenance from log analysis - Resource scheduling optimization - Anomaly detection in enterprise systems

I know this isn't production ML (Python/PyTorch are better for that), but it's valuable for: 1. Teaching ML concepts to non-Python developers 2. Understanding algorithms by implementing them 3. PowerShell-native automation that learns

GitHub: https://github.com/JupyterPS/VBAF PowerShell Gallery: Install-Module VBAF

Happy to answer questions about the implementation or design decisions.

Comments URL: https://news.ycombinator.com/item?id=46959036

Points: 1

# Comments: 0

Article URL: https://arstechnica.com/science/2026/02/us-court-agency-pulls-climate-change-from-science-advisory-document/

Comments URL: https://news.ycombinator.com/item?id=46959026

Points: 2

# Comments: 0

Article URL: https://www.bloomberg.com/news/articles/2026-02-09/software-among-all-time-concentration-risks-to-junk-deutsche

Comments URL: https://news.ycombinator.com/item?id=46959024

Points: 1

# Comments: 0

I kept running into the same problem with AI-generated frontend code: most tokens go to boilerplate, and the AI can never pick a consistent pattern. So I built a language where there's only one way to write things.

0x is indentation-based (think Python), declarative, and compiles to React JSX, Vue 3 SFC, or Svelte 5. A counter component is 18 lines in 0x vs 96 in production React.

page Counter: state count: int = 0 fn increment(): count += 1 layout col gap=16 padding=24 center: text "{count}" size=4xl color=cyan button "+1" style=primary -> increment() The compiler is ~3K lines of TypeScript, zero dependencies. Pipeline: Lexer → Parser → AST → CodeGen (one pass per target). It handles state, derived values, typed variables, functions, flexbox layouts, control flow (if/elif/else, each, match), lifecycle hooks, API calls with loading/error states.

I chose indentation-based syntax because it's the most token-efficient structure I could find. No curly braces, no semicolons, no JSX closing tags, no import boilerplate. For an LLM, fewer structural decisions = fewer hallucinations.

There's a built-in MCP server so Claude and Cursor can compile inline. Also works as a library:

import { compile } from '0x-lang/compiler'; const result = compile(source, { target: 'react' }); I'm curious about two things:

Is "designed for AI" a real market, or is this too niche?

For folks who've built compilers — any obvious mistakes you see in the architecture?

Website: https://0xlang.com GitHub: https://github.com/hankimis/0x-lang npm: https://www.npmjs.com/package/0x-lang

Comments URL: https://news.ycombinator.com/item?id=46959021

Points: 1

# Comments: 0

Article URL: https://www.newyorker.com/magazine/2026/02/16/what-is-claude-anthropic-doesnt-know-either

Comments URL: https://news.ycombinator.com/item?id=46959000

Points: 1

# Comments: 1

Hi HN,

I’m the solo builder of Natively, an AI-powered interview and productivity assistant.

I built it as a product-first experiment and focused entirely on usage and feedback before monetization.

Current state

~2,000 users

Organic growth (GitHub + word of mouth)

No revenue yet (no pricing, no Stripe, no paywalls)

Actively used by developers and students

Why I’m selling I’m shifting focus to another product idea and don’t have the bandwidth to properly monetize or scale this. The product works, users are there, but it deserves more attention than I can give right now.

What’s there

Working product

Clean, maintainable codebase

Modern AI stack

No legal or IP complications

What’s not

No paid plans

No marketing funnel

No growth hacks

This might be interesting to someone who:

Enjoys productizing early traction

Wants users before revenue

Is comfortable shipping pricing and onboarding quickly

Happy to answer questions here. If you’re seriously interested, feel free to email/DM and I can share the product link, analytics, and repo.

Thanks for reading.

Comments URL: https://news.ycombinator.com/item?id=46958991

Points: 1

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Article URL: https://academic.oup.com/book/60034

Comments URL: https://news.ycombinator.com/item?id=46958988

Points: 1

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Article URL: https://www.heyflare.app/blog/introducing-flare

Comments URL: https://news.ycombinator.com/item?id=46958986

Points: 1

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Article URL: https://www.guidsgenerator.com/wiki/uuid-v7

Comments URL: https://news.ycombinator.com/item?id=46958978

Points: 1

# Comments: 1

Article URL: https://www.aljazeera.com/news/2026/2/8/italys-meloni-condemns-anti-olympics-protesters-in-milan

Comments URL: https://news.ycombinator.com/item?id=46958968

Points: 1

# Comments: 0