Hacker News

Article URL: https://incoherency.co.uk/chatjimmy-ultra/

Comments URL: https://news.ycombinator.com/item?id=47087833

Points: 1

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Article URL: https://pickedvids.com

Comments URL: https://news.ycombinator.com/item?id=47087808

Points: 1

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Article URL: https://www.bbc.com/news/articles/c78j01n775ko

Comments URL: https://news.ycombinator.com/item?id=47087798

Points: 1

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Article URL: https://github.com/SubhanHakverdiyev/OptimizeQL

Comments URL: https://news.ycombinator.com/item?id=47087778

Points: 3

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Article URL: https://www.coindesk.com/policy/2026/01/27/crypto-money-laundering-balloons-to-usd82b-as-chinese-language-services-dominate-chainalysis-says

Comments URL: https://news.ycombinator.com/item?id=47087752

Points: 1

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Article URL: https://lalinsky.com/2026/02/19/six-months-of-yak-shaving-a-zig-web-backend-stack.html

Comments URL: https://news.ycombinator.com/item?id=47087751

Points: 1

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Most AI products inject facts and hope reasoning follows. But intelligence is not measured by how much a model holds in its context window. It is measured by knowing to pick up the keys before leaving the house.

Last week, the "Car Wash problem" (50m away, walk or drive?) went viral here on HN. Every major LLM failed because they missed the implicit physical constraint: the car must be there. While testing InterviewMate's prompt architecture, I posed the same question. It answered drive immediately. Every other LLM had failed. But I didn't actually know why it worked — so I ran a variable isolation study to find out. 100 API calls, Claude Sonnet 4.5, 5 conditions:

Baseline (no prompt): 0% Role only: 0% Context injection (user profile, car location): 30% Structured reasoning (STAR framework): 85% Full stack (both combined): 100%

Throwing facts at the model doesn't work unless the architecture forces it to explicitly evaluate the task goal first. Without structure, the model jumps straight to the distance heuristic: "100m is short, walk." I'm writing a paper on this. Wanted to share the raw data with HN first. Code and raw eval data: https://github.com/JO-HEEJIN/interview_mate/tree/main/car_wash

Comments URL: https://news.ycombinator.com/item?id=47087746

Points: 1

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Article URL: https://queenofsquiggles.github.io/guides/fsm-vs-bt/

Comments URL: https://news.ycombinator.com/item?id=47087745

Points: 1

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Generate personalized content based on the current environment (weather, time, date, and solar terms) via backend LLMs (DeepSeek / Qwen / Kimi) for display on a 4.2-inch E-ink screen.

Comments URL: https://news.ycombinator.com/item?id=47087739

Points: 1

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Hey HN. I built a free accessibility scanner that checks 33 WCAG 2.1 criteria against any URL.

CLI: npx accessiguard scan your-site.com GitHub Action: github.com/PrimeStark/accessiguard-action (posts a11y report on every PR)

I was an engineering manager who got frustrated watching teams skip accessibility because audits cost $500+ and took weeks. So I built something you can run in 30 seconds from your terminal.

Free tier, no signup for single scans. Would love feedback on what checks to add next.

https://accessiguard.appa

Comments URL: https://news.ycombinator.com/item?id=47087734

Points: 1

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Article URL: https://www.4rknova.com//blog/2026/02/15/reaction-diffusion

Comments URL: https://news.ycombinator.com/item?id=47087731

Points: 1

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Article URL: https://electrek.co/2026/02/19/data-centers-are-becoming-power-plants-this-nj-project-proves-it/

Comments URL: https://news.ycombinator.com/item?id=47087720

Points: 1

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Article URL: https://www.bleepingcomputer.com/news/security/paypal-discloses-data-breach-exposing-users-personal-information/

Comments URL: https://news.ycombinator.com/item?id=47087719

Points: 2

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Article URL: https://11h.dev/en/2026/02/13/who-writes-the-constitution-of-machines/

Comments URL: https://news.ycombinator.com/item?id=47087711

Points: 1

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Hi HN

Today we are launching Groundwork (https://www.groundwork.today), but before getting into the platform itself, I want to share the macro thesis that led us to build it.

The Macro Shift: The "Time Surplus" When you look at the history of human labor, it isn't a linear progression from toil to leisure—it's actually U-shaped.

Historically, hunter-gatherers worked only 15–20 hours per week on subsistence. We are currently exiting a 200-year anomaly of extreme work hours (the Industrial Revolution) and returning to a baseline of intermittent labor. Generative AI is accelerating this by automating "cognitive drudgery." With massive productivity gains, the data indicates we are structurally moving toward a reduction in the standard workweek, with 32 hours (or eventually less) emerging as a new economic equilibrium. This creates a massive "Time Surplus" for the average knowledge worker. Our research shows that people don't just want to spend this surplus on leisure; they want to invest a portion of it into purpose and impact. We are already seeing the value of a volunteer hour rise to nearly $35, reflecting a shift from manual contributions to highly skilled work.

The Problem: The Engagement Gap Despite this growing "Cognitive Surplus," the infrastructure to deploy it is broken. You wouldn't ask a surgeon to fix a sink, so why are volunteers stuck doing generic data entry if their superpower is data science, full-stack development, or graphic design?

Millions of people want to make a tangible impact on global and local issues, but they stay on the sidelines because they don't know where their time can make an impact towards causes they care about. The barrier isn’t a lack of intent; it’s the friction of discovery. At the same time, non-profits and impact organizations struggle with high volunteer drop-off rates because they default to a "general labor" model.

The Solution: Groundwork We built Groundwork to solve this exact inefficiency. We are replacing the traditional "search for a role" model with precision matching. The Onboarding: Volunteers spend 3 minutes sharing their personal values, specialized skills, and time availability. The Matching: We connect volunteers with impact organizations based on 20+ criteria, prioritizing deep cause alignment (e.g., climate, education, healthcare), schedule syncing, and specific technical or functional expertise. The Result: Instead of searching endless job boards, we curate the role for the volunteer. You receive direct invitations to opportunities that fit perfectly. On the flip side, impact organizations get access to a high-intent volunteer pool and ready-to-go specialists, drastically increasing their efficacy.

By aligning volunteer values with specific causes and matching their actual skills and availability, we significantly reduce drop-off rates and ensure that every hour of work makes a structural difference.

We’d love for this community to poke around the site (https://www.groundwork.today) and let us know what you think. We are especially interested in your feedback on our macro thesis regarding the "Time Surplus" economy.

Happy to answer any questions!

Comments URL: https://news.ycombinator.com/item?id=47087710

Points: 2

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Article URL: https://electrek.co/2026/02/20/chinese-car-brand-nio-performs-165898-battery-swaps-in-a-single-day/

Comments URL: https://news.ycombinator.com/item?id=47087705

Points: 2

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Article URL: https://www.backend.ai/blog/2026-02-is-dgx-spark-actually-a-blackwell

Comments URL: https://news.ycombinator.com/item?id=47087204

Points: 1

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Article URL: https://github.com/mayfer/pg-here

Comments URL: https://news.ycombinator.com/item?id=47087201

Points: 1

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Article URL: https://www.bloomberg.com/news/features/2026-02-19/vpn-used-by-us-government-failed-to-stop-china-state-sponsored-hackers

Comments URL: https://news.ycombinator.com/item?id=47087163

Points: 1

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Article URL: https://medicalxpress.com/news/2026-01-similar-effect-therapy-depression.html

Comments URL: https://news.ycombinator.com/item?id=47087143

Points: 2

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