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Show HN: Pyrig – One command to set up a production-ready Python project

https://github.com/Winipedia/pyrig
1•Winipedia•1m ago•0 comments

Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network [pdf]

https://github.com/AysajanE/moltbook-persistence/blob/main/paper/main.pdf
1•EagleEdge•1m ago•0 comments

C and C++ dependencies: don't dream it, be it

https://nibblestew.blogspot.com/2026/02/c-and-c-dependencies-dont-dream-it-be-it.html
1•ingve•2m ago•0 comments

Show HN: Vbuckets – Infinite virtual S3 buckets

https://github.com/danthegoodman1/vbuckets
1•dangoodmanUT•2m ago•0 comments

Open Molten Claw: Post-Eval as a Service

https://idiallo.com/blog/open-molten-claw
1•watchful_moose•3m ago•0 comments

New York Budget Bill Mandates File Scans for 3D Printers

https://reclaimthenet.org/new-york-3d-printer-law-mandates-firearm-file-blocking
1•bilsbie•3m ago•0 comments

The End of Software as a Business?

https://www.thatwastheweek.com/p/ai-is-growing-up-its-ceos-arent
1•kteare•5m ago•0 comments

Exploring 1,400 reusable skills for AI coding tools

https://ai-devkit.com/skills/
1•hoangnnguyen•5m ago•0 comments

Show HN: A unique twist on Tetris and block puzzle

https://playdropstack.com/
1•lastodyssey•9m ago•0 comments

The logs I never read

https://pydantic.dev/articles/the-logs-i-never-read
1•nojito•10m ago•0 comments

How to use AI with expressive writing without generating AI slop

https://idratherbewriting.com/blog/bakhtin-collapse-ai-expressive-writing
1•cnunciato•11m ago•0 comments

Show HN: LinkScope – Real-Time UART Analyzer Using ESP32-S3 and PC GUI

https://github.com/choihimchan/linkscope-bpu-uart-analyzer
1•octablock•11m ago•0 comments

Cppsp v1.4.5–custom pattern-driven, nested, namespace-scoped templates

https://github.com/user19870/cppsp
1•user19870•12m ago•1 comments

The next frontier in weight-loss drugs: one-time gene therapy

https://www.washingtonpost.com/health/2026/01/24/fractyl-glp1-gene-therapy/
1•bookofjoe•15m ago•1 comments

At Age 25, Wikipedia Refuses to Evolve

https://spectrum.ieee.org/wikipedia-at-25
1•asdefghyk•18m ago•3 comments

Show HN: ReviewReact – AI review responses inside Google Maps ($19/mo)

https://reviewreact.com
2•sara_builds•18m ago•1 comments

Why AlphaTensor Failed at 3x3 Matrix Multiplication: The Anchor Barrier

https://zenodo.org/records/18514533
1•DarenWatson•20m ago•0 comments

Ask HN: How much of your token use is fixing the bugs Claude Code causes?

1•laurex•23m ago•0 comments

Show HN: Agents – Sync MCP Configs Across Claude, Cursor, Codex Automatically

https://github.com/amtiYo/agents
1•amtiyo•24m ago•0 comments

Hello

2•otrebladih•25m ago•1 comments

FSD helped save my father's life during a heart attack

https://twitter.com/JJackBrandt/status/2019852423980875794
3•blacktulip•28m ago•0 comments

Show HN: Writtte – Draft and publish articles without reformatting, anywhere

https://writtte.xyz
1•lasgawe•30m ago•0 comments

Portuguese icon (FROM A CAN) makes a simple meal (Canned Fish Files) [video]

https://www.youtube.com/watch?v=e9FUdOfp8ME
1•zeristor•32m ago•0 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
3•gnufx•34m ago•0 comments

Transcribe your aunts post cards with Gemini 3 Pro

https://leserli.ch/ocr/
1•nielstron•38m ago•0 comments

.72% Variance Lance

1•mav5431•39m ago•0 comments

ReKindle – web-based operating system designed specifically for E-ink devices

https://rekindle.ink
1•JSLegendDev•40m ago•0 comments

Encrypt It

https://encryptitalready.org/
1•u1hcw9nx•40m ago•1 comments

NextMatch – 5-minute video speed dating to reduce ghosting

https://nextmatchdating.netlify.app/
1•Halinani8•41m ago•1 comments

Personalizing esketamine treatment in TRD and TRBD

https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1736114
1•PaulHoule•43m ago•0 comments
Open in hackernews

Ultimate Crash Test

https://www.pbs.org/wgbh/nova/video/ultimate-crash-test-countdown/
3•tzs•8mo ago

Comments

tzs•8mo ago
This is the first episode of a two part PBS Nova special on multi-vehicle crashes. The second part is https://www.pbs.org/wgbh/nova/video/ultimate-crash-test-impa...

These were just broadcast for the first time, so should be available for free streaming on Nova's website for about a month before they become members only.

Description of part 1:

> Surprisingly little is known about the behavior of cars and drivers in uncontrolled, real-world accidents, despite rigorous testing in laboratory-controlled crashes. Now, a first-of-its-kind experiment aims to discover what really happens in a multi-vehicle pileup and how cars and driving could be made safer.

> In the first episode of this two-part special, go behind the scenes as scientists make a series of high-stakes decisions to ensure the ambitious experiment goes off without a hitch. They only have one shot. The plan is for 8 drivers to drive 8 different cars by remote control at 70 mph down a hazardous straightaway. But how can they best represent real-world conditions to create a crash, especially when the drivers have no idea what’s about to happen? How do they ensure that the remote drivers feel natural behind the wheel? And what is needed to fully capture every data-point possible? The intense preparation for the most ambitious crash test ever conducted culminates in the moment of truth as the cars barrel down an airport tarmac and collide in a massive, multi-vehicle pile-up.

(The way they reproduced drivers not knowing that a crash was going to happen is by having 4 of the drivers be volunteers who did not know that crashes were being studied)

Here's the description of part 2:

> In the second episode of this two-part special, forensic analysis is put to the test. Real-life crash scene investigations have very little data to work with, so are they accurate? And what can we learn about car safety when there is actual data to show exactly what happened? Follow scientists, engineers, and accident investigators as they analyze a treasure trove of data – more than they’ve ever been able to work with before. Interviews with drivers offer valuable clues into what they saw and how they reacted, and a LIDAR scan of the scene is stitched together into a digital version of the entire event that can be analyzed millisecond by millisecond. In this unprecedented look at a major multi-vehicle accident, discover insights about driver behavior and vehicle design that could save lives.