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Article URL: https://bret.dk/every-single-board-computer-i-tested-in-2025/

Comments URL: https://news.ycombinator.com/item?id=47260812

Points: 1

# Comments: 0

Article URL: https://github.com/petergpt/bullshit-benchmark

Comments URL: https://news.ycombinator.com/item?id=47260807

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=WJS2YDZO-vc

Comments URL: https://news.ycombinator.com/item?id=47260789

Points: 1

# Comments: 0

[Higher resolution, but possibly much more computationally demanding, version](https://marl0ny.github.io/split-operator-simulations/js/3d.h...). [2D version](https://marl0ny.github.io/split-operator-simulations/js/2d.h...). This was actually posted here long ago by someone else, where the comments were basically about not being able to run it in the first place. Well recently I've increased device compatibility, but even on some devices it may not run properly. For all Android devices I have to use a JavaScript FFT fallback instead of the default GLSL implementation, so expect significantly slower performance here. But even on some lower-end Android devices, it may not even run at all, so expect a black screen. I've also heard an issue where some of the GUI controls or buttons do not work; as I haven't been able to reproduce this, I suspect this is due to conflicts with browser extensions.

Comments URL: https://news.ycombinator.com/item?id=47260784

Points: 1

# Comments: 0

I've been fascinated by BaZi (八字), a Chinese calendrical system that maps birth date/time to Five Element interactions. Unlike Western astrology, it's essentially a deterministic lookup + combinatorial analysis — same inputs always produce the same chart. The core algorithm converts Gregorian dates to the Chinese Sexagenary cycle (天干地支), then derives Four Pillars (year/month/day/hour), each a pair of Heavenly Stem + Earthly Branch. From there it computes element balances, "Ten Gods" relationships, and luck period progressions. I built a web tool that runs this calculation and layers AI interpretation on top for plain-English explanations: https://xuanseal.com Some interesting technical challenges: - The Sexagenary cycle conversion requires handling the solar term calendar (节气), which doesn't align with Gregorian months. I ended up using astronomical algorithms rather than lookup tables for accuracy. - BaZi has ~30 named element interaction patterns ("Clash," "Combine," "Punishment," etc.) that need to be evaluated across all four pillars simultaneously. Getting the combinatorial logic right was the trickiest part. - Separating deterministic calculation from AI interpretation was a deliberate design choice — the chart itself is math, the reading is LLM-generated. Users can verify the chart independently. Stack: Next.js 16, React 19, TypeScript, Drizzle/PostgreSQL, Tailwind v4. Three-locale i18n (en/zh/zh-hant) via next-intl. Happy to discuss the calendrical math or the Five Element system if anyone is curious.

Comments URL: https://news.ycombinator.com/item?id=47260782

Points: 1

# Comments: 0

Article URL: https://github.com/alanalvestech/hitank

Comments URL: https://news.ycombinator.com/item?id=47260776

Points: 1

# Comments: 1

Working on a large Rust codebase. The token problem is real — Claude Code will happily spend $5 of context just trying to understand how two modules relate before writing a single line. And once context compaction kicks in, it's even worse — the agent loses the thread completely and starts grepping the same files again from scratch.

Approaches I've tried:

Feeding CLAUDE.md / architecture docs manually — helps, but gets stale fast. Cursor's built-in indexing — breaks on monorepos, and I don't love proprietary code going to their servers. Basic MCP server with grep — works for exact matches, useless for semantic queries.

Eventually built something more serious: a local Tree-sitter indexer that builds a knowledge graph of file relationships and exposes it via MCP so agents query semantically instead of grepping blind. One tool call instead of 15 grep iterations. Published it here: https://github.com/Muvon/octocode

But genuinely curious what others are doing before I go deeper on it.

Three specific questions:

1. How do you handle the "ripple effect" problem — knowing that changing one file semantically affects others that aren't obviously linked?

2. Do you trust closed-source indexing with proprietary code, or have you gone local-first?

3. Has anyone gotten GraphRAG-style relationship mapping to work in practice at scale, or is it still mostly hype?

Comments URL: https://news.ycombinator.com/item?id=47260775

Points: 2

# Comments: 0

Article URL: https://www.newscientist.com/article/2511979-world-is-entering-an-era-of-water-bankruptcy/

Comments URL: https://news.ycombinator.com/item?id=47260774

Points: 1

# Comments: 0

Article URL: https://peekapi.dev

Comments URL: https://news.ycombinator.com/item?id=47260768

Points: 1

# Comments: 1

Article URL: https://lwn.net/Articles/473794/

Comments URL: https://news.ycombinator.com/item?id=47260756

Points: 2

# Comments: 0

Article URL: https://github.com/nirodbx/niroddb

Comments URL: https://news.ycombinator.com/item?id=47260752

Points: 1

# Comments: 0

I built an MCP server that connects AI assistants to live KubeCon + CloudNativeCon Europe 2026 data (March 23-26, Amsterdam).

It exposes 12 tools that let you search 500+ sessions, find speakers, discover evening parties, get venue/hotel/transit info, score sessions based on your role and interests, and detect scheduling conflicts. Data is pulled live from the official sched.com iCal feed and conferenceparties.com.

Install: uvx kubecon-eu-mcp

The fun part: KubeCon has a co-located "Agentics Day: MCP + Agents" event on Monday, so this is an MCP server to help plan your trip to the MCP event.

Built with Python, FastMCP (official MCP SDK), httpx, icalendar, and BeautifulSoup. No database, no config — just install and ask questions. MIT licensed.

GitHub: https://github.com/njoerd114/kubecon-eu-mcp PyPI: https://pypi.org/project/kubecon-eu-mcp/

Comments URL: https://news.ycombinator.com/item?id=47260747

Points: 1

# Comments: 0

Article URL: https://www.cs.utexas.edu/~EWD/transcriptions/EWD10xx/EWD1036.html

Comments URL: https://news.ycombinator.com/item?id=47260745

Points: 1

# Comments: 0

The networking giant has added the recently patched CVE-2026-20128 and CVE-2026-20122 to the list of exploited vulnerabilities.

The post Cisco Warns of More Catalyst SD-WAN Flaws Exploited in the Wild appeared first on SecurityWeek.

I'd keep both if I could, but there's one feature I truly can't live without.

CISA has added five new vulnerabilities to its Known Exploited Vulnerabilities (KEV) Catalog, based on evidence of active exploitation.

• CVE-2017-7921 Hikvision Multiple Products Improper Authentication Vulnerability
• CVE-2021-22681 Rockwell Multiple Products Insufficient Protected Credentials Vulnerability
• CVE-2021-30952 Apple Multiple Products Integer Overflow or Wraparound Vulnerability
• CVE-2023-41974 Apple iOS and iPadOS Use-After-Free Vulnerability
• CVE-2023-43000 Apple Multiple products Use-After-Free Vulnerability

These types of vulnerabilities are frequent attack vectors for malicious cyber actors and pose significant risks to the federal enterprise.

Binding Operational Directive (BOD) 22-01: Reducing the Significant Risk of Known Exploited Vulnerabilities established the KEV Catalog as a living list of known Common Vulnerabilities and Exposures (CVEs) that carry significant risk to the federal enterprise. BOD 22-01 requires Federal Civilian Executive Branch (FCEB) agencies to remediate identified vulnerabilities by the due date to protect FCEB networks against active threats. See the BOD 22-01 Fact Sheet for more information.

Although BOD 22-01 only applies to FCEB agencies, CISA strongly urges all organizations to reduce their exposure to cyberattacks by prioritizing timely remediation of KEV Catalog vulnerabilities as part of their vulnerability management practice. CISA will continue to add vulnerabilities to the catalog that meet the specified criteria.

A sunrise alarm clock helps you gradually wake up with its gentle light and sounds.

Article URL: https://pinpointanswertoday.app

Comments URL: https://news.ycombinator.com/item?id=47260404

Points: 1

# Comments: 0

OpenAI's Sam Altman says AI's water concerns are "totally fake." The truth about AI's impact on natural resources is more complicated.

Article URL: https://www.kerno.io/

Comments URL: https://news.ycombinator.com/item?id=47260403

Points: 1

# Comments: 0