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Show HN: Context-aware Japanese furigana using Sudachi and ModernBERT

EZFurigana is a free online Furigana converter that automatically adds furigana (hiragana, katakana, or romaji) to Japanese text across inputs: paste text, upload PDFs, images, SRT subtitles, EPUBs, or fetch from a webpage URL. It offers OCR for scans, supports JLPT-based filtering, and lets you export results as HTML, TXT, PDF, EPUB, SRT, or Anki flashcards. No signup is required; uploads are deleted within 24 hours. Saved words stay in your browser; you can review definitions, export Anki cards, and choose from multiple display styles.

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Blue Origin rocket explodes on launchpad in a setback

Could not summarize article.

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Expertise in the Age of AI

Lee argues that in the AI era, only a small fraction of juniors are worth hiring: seniors, boosted by coding agents, outpace new grads who struggle to catch up. The market rewards senior engineers, while many new CS graduates may never reach the needed “coding intuition” within 2–3 years. A second-tier of consultants will grow but with slower salary growth. Everyone should learn coding to leverage AI: 1–2 weeks to grasp basics, 1–2 months to know how to ask, 4–6 months to verify results. Do the work by hand first.

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Please Use AI

Shawn Smucker argues for using AI as a tool for planning and creation but warns against outsourcing authentic human experience. He humorously suggests AI could draft wedding toasts, meal plans, and art, then condemns the sterile, impersonal feel that would replace lived memory and emotion. Smucker, in his 50s with a sleeping daughter and aging body, reflects on the beauty of life found in imperfection and the hard, imperfect work of living. The piece champions "the courage to live it"—to craft with flesh-and-blood humanity rather than surrender to easy AI mastery.

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Wterm – Terminal Emulator for the Web

wterm is a web-based terminal emulator that renders in the DOM with native text selection, copy/paste, find, and accessibility. Its Zig core, compiled to WASM, delivers near-native performance (~12 KB .wasm) and VT100/VT220/xterm support. Features include DOM rendering, dirty-row re-rendering with requestAnimationFrame, themes (Default, Solarized, Monokai, Light), alternate screen buffer, scrollback, 24-bit color, auto-resize via ResizeObserver, and WebSocket transport to a reconnecting PTY backend. It supports examples like just-bash, SSH, and local backends, with modular packages for React, Vue, and more.

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Even (very) noisy LLM evaluators are useful for improving AI agents

Noisy LLM evaluators struggle for per-output judgments but reliably rank agents when averaged over many outputs. Output-level correlations are weaker than agent-level; with enough samples, the chance of picking the better agent approaches 1, especially with a larger true performance gap. Real benchmarks (Gridworld, Wordle, NER, NDA, Business Mgmt) show high agent-level correlations and strong pairwise win rates despite noise. Caveats: region-specific biases, distribution shift, and dependence can break offline-to-online alignment. Use evaluators as offline selection signals to ship better agents.

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Local Git Remotes

Describes setting up a bare git repo on a home server as a remote for a project. Create a bare clone at /home/user/bares/cani.git from /home/user/projects/cani, then add it as a remote (git remote add local /home/user/bares/cani.git). From another machine, use ssh://USER@MACHINE:/home/user/bares/cani.git. Optionally set the default branch to main (git remote set-branches local main). Push and pull via the local remote (git push local, git pull local main) or the SSH URL. This gives a fast, reliable local remote with an offsite copy, avoiding big tech.

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High Density Living, 2000 Years Ago: Inside the Roman Apartment Building

Could not summarize article.

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Show HN: AISlop, a CLI for catching AI generated code smells

Aislop is a MIT-licensed CLI tool that detects "slop" AI-coding patterns left in code by AI agents. It runs 40+ rules across 7 languages (TS/JS, Python, Go, Rust, Ruby, PHP, Java), scores changes 0–100, runs sub-second, and is deterministic with no LLMs in the runtime. It provides npx aislop scan (and --staged/--changes/--json), npx aislop fix (auto-fix), and CI integration for gates. It flags patterns like narrative comments, swallowed exceptions, unused imports, dead code, TODO stubs, and oversized functions; supports hooks with Claude, Cursor, Gemini, Codex, etc. Also offers badge generation and README integration.

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Digital Identity Management in Norway Is a Catastrophe

Norway’s digital identity system—driven by universal eIDs like BankID—has accelerated digitalization but also causes exclusion and risk of misuse. A SODI project report criticizes fragmented governance, lack of oversight, and insufficient legal protection, citing fraud losses (e.g., DNB cases) and exclusion (e.g., Bendik with Down syndrome denied BankID). It advocates a holistic, NOU-like governance framework, with constructive backing from Skatteetaten and academia.

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An Obsessive Focus on UX: Pilot's Pressure-Regulating Kire-Na Highlighter

The piece extols Japanese overdesign, using Pilot’s Kire-Na highlighter as a prime example. Pilot solved uneven highlighting by adding pressure guides on the nib and later a soft nylon tip with plastic guides to control angle and pressure, delivering straight lines no matter how held. The ink dries in a second with no smudging or bleed-through and a clean tip. After six years of development and a restart, Kire-Na shipped over ten million units in its first year; “Kire-Na” means “clean” in Japanese.

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Cedana (YC S23) Is Hiring

Cedana seeks a Forward Deployed Engineer (AI + HPC) to lead customer engagements and deploy Cedana’s GPU checkpointing and live-migration tech in SLURM, Kubernetes, and NVIDIA Dynamo. Own installs, plugins, networking, observability; drive product feedback; measure reliability and throughput; design policy-based migrations. Requirements: 3–10 years’ software engineering; production SLURM (slurmctld, slurmdbd, cgroups, GPU) and Kubernetes ops; strong Linux; enterprise/research deployment experience; client-facing preferred. Remote US with ~25% travel. Base $140k–$180k + equity. Benefits: full medical, unlimited PTO, 401K. YC-backed, founded 2023.

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The UK Government's Low Value Purchase System Is a Waste of Time

Terence Eden argues the RM6237 Low Value Purchase System is a waste. Although meant to simplify small-value government purchases, users must log monthly returns with the Government Commercial Agency, even when no business occurred. An FoI shows nil returns cost small firms substantial time: nil-return rates hover around 95–98% each month, with only about 59 of thousands reporting any sale. Even at 2 minutes per form, that’s over two days of time wasted monthly. He critiques the system for shifting reporting burdens to buyers and for poor data tracking.

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Tulip mania: when a single flower was worth more than a house

Tulip mania was 17th-century Netherlands’ bubble when rare bulbs became so valuable that people traded land, houses, and life savings for a single flower. Prices rose with futures speculation; a Semper Augustus bulb was said to be worth a canal house. In February 1637 the market crashed, ruining many investors, though the economy didn’t collapse. Tulips remained culturally and economically important, and the Netherlands is now the world’s largest tulip producer. The episode serves as a classic warning about irrational exuberance in markets.

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Is AI causing a repeat of Front end's Lost Decade?

AI is repeating Frontend’s Lost Decade by deskilling programming. Historically, frameworks reduced frontend’s specialist skills and worker bargaining power; AI extends this with agentic coding at a higher abstraction, but it’s leaky and not deterministic, like a junior engineer. Like Stack Overflow, LLMs speed tasks but require learning to read and audit outputs, with quality and team-alignment concerns. The Bauhaus analogy urges designers to work with industrial processes while preserving user care. Expect more quick prototypes and tradeoffs; the industry may churn, but skilled craft remains necessary.

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We should be more tired than the model

Author reflects on working with agentic code generation, noting post-session code shows outward results but not the internal reasoning of hand-coding. Explains how human memory (short-term, working, long-term) processes code and how AI’s UX resembles a slot machine, potentially eroding skill retention. To counter this, they adopt deliberate, friction-filled practices: rewrite initial implementation manually, have the agent review and comment, ask questions and consult docs/PRs, compare approaches, discuss with others, wait 20 minutes, read books/papers, and reimplement fundamentals. In short, adding friction strengthens long-term skill; we should be more tired than the model.

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Show HN: Compile-time model-id validation with declared capability

Openrouter-toolkit is a Rust-based toolkit for compile-time validation of OpenRouter model IDs and their required capabilities. It provides a model_supports! macro that validates a model against a vendored OpenRouter index and expands to the model id string. Example: model_supports!("openai/gpt-5.4", param::tools, input::image, output::text). It also shows how dynamic variants can be expressed, and demonstrates compile-time errors for unknown capabilities (e.g., param::toolz) and for capabilities not supported by a model. The README includes usage hints and notes about dependencies (Cargo, rust-toolchain.toml).

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Is This Sustainable?

Three years into AI-driven development, the author notes that proposals can become PoCs in weeks, shifting alignment to cross-team coordination. AI amplifies action bias: those who build with AI advance faster, widening gaps inside teams. Senior engineers gain power via hands-on coding and strategic writing but lose mentoring time and deep thinking; roles become broader and org-wide, centered on developer/agent experience. Measuring impact at the board level remains weak. The result feels unsustainable at this pace, though the pattern is likely to spread, even if not guaranteed to endure.

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The $500K AI Film That "Premiered at Cannes" Was Not in the Official Festival

The piece interrogates Higgsfield’s claim that its AI film Hell Grind premiered at Cannes. Cannes officials say it was not screened in the official festival program; it showed at the Marché du Film, an industry marketplace. The Wall Street Journal initially labeled it a Cannes premiere and later corrected that it screened at Marché du Film. Made in two weeks for about $500k with AI tools, Hell Grind required 16,181 generations to 253 final shots, with 3,000-word prompts to keep visual consistency. The episode shows AI hype exploiting festival prestige rather than an official accolade.

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Barthelme, the Houstonian

Access to theparisreview.org is blocked by Cloudflare’s security service. The page asks to enable cookies, explains the block may be triggered by certain actions, and advises emailing the site owner with details of what you were doing and the Cloudflare Ray ID (and your IP) to resolve the issue.

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