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Show HN: Medinilla – an OCPP compliant .NET back end (partially done)

https://github.com/eliodecolli/Medinilla
1•rhcm•1m ago•0 comments

How Does AI Distribute the Pie? Large Language Models and the Ultimatum Game

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6157066
1•dkga•2m ago•1 comments

Resistance Infrastructure

https://www.profgalloway.com/resistance-infrastructure/
2•samizdis•6m ago•0 comments

Fire-juggling unicyclist caught performing on crossing

https://news.sky.com/story/fire-juggling-unicyclist-caught-performing-on-crossing-13504459
1•austinallegro•7m ago•0 comments

Restoring a lost 1981 Unix roguelike (protoHack) and preserving Hack 1.0.3

https://github.com/Critlist/protoHack
2•Critlist•8m ago•0 comments

GPS and Time Dilation – Special and General Relativity

https://philosophersview.com/gps-and-time-dilation/
1•mistyvales•11m ago•0 comments

Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

https://github.com/writerslogic/witnessd
1•davidcondrey•12m ago•1 comments

Show HN: I built a clawdbot that texts like your crush

https://14.israelfirew.co
2•IsruAlpha•14m ago•1 comments

Scientists reverse Alzheimer's in mice and restore memory (2025)

https://www.sciencedaily.com/releases/2025/12/251224032354.htm
1•walterbell•17m ago•0 comments

Compiling Prolog to Forth [pdf]

https://vfxforth.com/flag/jfar/vol4/no4/article4.pdf
1•todsacerdoti•18m ago•0 comments

Show HN: Cymatica – an experimental, meditative audiovisual app

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1•_august•19m ago•0 comments

GitBlack: Tracing America's Foundation

https://gitblack.vercel.app/
2•martialg•19m ago•0 comments

Horizon-LM: A RAM-Centric Architecture for LLM Training

https://arxiv.org/abs/2602.04816
1•chrsw•20m ago•0 comments

We just ordered shawarma and fries from Cursor [video]

https://www.youtube.com/shorts/WALQOiugbWc
1•jeffreyjin•21m ago•1 comments

Correctio

https://rhetoric.byu.edu/Figures/C/correctio.htm
1•grantpitt•21m ago•0 comments

Trying to make an Automated Ecologist: A first pass through the Biotime dataset

https://chillphysicsenjoyer.substack.com/p/trying-to-make-an-automated-ecologist
1•crescit_eundo•25m ago•0 comments

Watch Ukraine's Minigun-Firing, Drone-Hunting Turboprop in Action

https://www.twz.com/air/watch-ukraines-minigun-firing-drone-hunting-turboprop-in-action
1•breve•26m ago•0 comments

Free Trial: AI Interviewer

https://ai-interviewer.nuvoice.ai/
1•sijain2•26m ago•0 comments

FDA intends to take action against non-FDA-approved GLP-1 drugs

https://www.fda.gov/news-events/press-announcements/fda-intends-take-action-against-non-fda-appro...
21•randycupertino•27m ago•10 comments

Supernote e-ink devices for writing like paper

https://supernote.eu/choose-your-product/
3•janandonly•30m ago•0 comments

We are QA Engineers now

https://serce.me/posts/2026-02-05-we-are-qa-engineers-now
1•SerCe•30m ago•0 comments

Show HN: Measuring how AI agent teams improve issue resolution on SWE-Verified

https://arxiv.org/abs/2602.01465
2•NBenkovich•30m ago•0 comments

Adversarial Reasoning: Multiagent World Models for Closing the Simulation Gap

https://www.latent.space/p/adversarial-reasoning
1•swyx•31m ago•0 comments

Show HN: Poddley.com – Follow people, not podcasts

https://poddley.com/guests/ana-kasparian/episodes
1•onesandofgrain•39m ago•0 comments

Layoffs Surge 118% in January – The Highest Since 2009

https://www.cnbc.com/2026/02/05/layoff-and-hiring-announcements-hit-their-worst-january-levels-si...
13•karakoram•39m ago•0 comments

Papyrus 114: Homer's Iliad

https://p114.homemade.systems/
1•mwenge•39m ago•1 comments

DicePit – Real-time multiplayer Knucklebones in the browser

https://dicepit.pages.dev/
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Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs

https://arxiv.org/abs/2601.14340
2•PaulHoule•41m ago•0 comments

Show HN: AI Agent Tool That Keeps You in the Loop

https://github.com/dshearer/misatay
2•dshearer•42m ago•0 comments

Why Every R Package Wrapping External Tools Needs a Sitrep() Function

https://drmowinckels.io/blog/2026/sitrep-functions/
1•todsacerdoti•42m ago•0 comments
Open in hackernews

What makes comprehensible input comprehensible?

https://cij-analysis.streamlit.app
35•surprisetalk•7mo ago

Comments

joshdavham•7mo ago
Oh wow! I’m surprised to see someone post my analysis haha

Happy to answer any questions here. I kept my analysis really high level for a general audience but since this is HN, we can get a bit nerdy :D

flippyhead•7mo ago
I love this. I made a totally free, just for fun, tool based around learning Japanese via Youtube using the CI approach. https://seikai.tv The trick is finding content that is at the right level but that you also find interesting. Great article, thank you!
joshdavham•7mo ago
Thanks for the kind words!
ragazzina•7mo ago
> Word length - At least in English and French (the languages I know best), longer words are generally considered harder.

I think in a language with a lot of similar sounds or even homophones, longer words are easier. For a beginner Chinese speaker that knows both words, hearing "chē" will probably be ambiguous, but "chūzūchē" will be parsed immediately.

joshdavham•7mo ago
That’s a good point.

I don’t think the ‘longer equals harder’ pattern holds for every language. I actually reached out to the head teacher at CIJ when I first made this analysis and she said the same.

kazinator•7mo ago
This is mainly resolved by context. "Penultimate" is a harder word than "pen". Now that could also mean "penitentiary" in North American vernacular, or a box in which a pig is kept, but not in a sentence like "Can I borrow your pen?"
EdiX•7mo ago
I don't think this captures the whole situation. Much of what makes comprehensible input comprehensible, at lower levels, is presence of visual hints.
joshdavham•7mo ago
That's exactly right.

Much of the beginner videos make use of visual hints like you say (images, props, etc), and none of these were taken into account in my analysis.

I do think it could be cool to do a 'visual' analysis of CI in the future where you attempt to measure how much context is present (or not) in each video and see what insights you could draw from that.

joshdavham•7mo ago
Here's the source code for this analysis to those interested: https://github.com/joshdavham/cij-analysis

I will note that the transcripts (and parsing scripts) are not included in the repo. The transcripts are not my intellectual property so I can't share it (and the parsing scripts are a bit of a dumpster fire).

kazinator•7mo ago
What makes comprehensible input comprehensible? Is that a trick question?

Avoiding unknown vocabulary, or including just a small amount that can be inferred from context; avoiding rare grammatical rules; avoiding stuffing too many clauses into sentences, keeping them short.

Just like a language has a large vocabulary of words of which only a subset is common, a similar observation holds for the grammar rules. Some are used only in very formal/erudite speech or writing. Also, just like your active vocab is not as large as the vocab you understand, the same goes for grammar: you don't wield as many constructs as you grow.

Semantically, avoiding obscure cultural references, culturally rooted unstraightforward metaphors, figures of speech or idioms.

Avoiding difficult topics. E.g. "I have a pen" vs. explaining Karl Popper's logical positivism.

It's much easier to acquire the "household" dialect of a language than to be able to understand news about politics, scientific papers, or literary essays.