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VoxeliumX – easy open-source tool to run Minecraft servers

1•Cheesehamster•5m ago•0 comments

Netherlands reaches deal to cut reliance on U.S. cloud tech

https://nltimes.nl/2026/04/24/netherlands-reaches-deal-european-cloud-company-decrease-us-tech-re...
2•01-_-•8m ago•0 comments

Free Online Tools for PDF, Image and Video – ToolHive

https://trytoolhive.com
1•farahfarah•8m ago•0 comments

Gecko: A fast GLR parser with automatic syntax error recovery

https://vnmakarov.github.io/parsing/compilers/c/open-source/2026/04/22/gecko-glr.html
2•fanf2•11m ago•0 comments

The Bracket – A Government Man

https://agovtman.substack.com/p/the-bracket
1•jjar•14m ago•0 comments

Onio.club

https://onio.club/
1•kkoncevicius•16m ago•0 comments

Canada's AI Startup Cohere Buys Germany's Aleph Alpha to Expand in Europe

https://www.reuters.com/legal/transactional/canadas-cohere-germanys-aleph-alpha-announce-merger-h...
1•ipieter•17m ago•0 comments

A practical guide to time for developers: clocks, drift, NTP, and PTP

https://www.dmytrohuz.com/p/a-practical-guide-to-time-for-developers
3•dmyhuz•19m ago•0 comments

Superscript Asterisk in Unicode

https://blog.zgp.org/superscript-asterisk-in-unicode/
1•b6dybuyv•21m ago•0 comments

Spinel: Ruby AOT Native Compiler

https://github.com/matz/spinel
3•dluan•24m ago•0 comments

Stock markets are too high and set to fall, says Bank of England deputy

https://www.bbc.com/news/articles/c75kp1y43lgo
4•wood_spirit•25m ago•1 comments

TorchWebGPU: Running PyTorch Natively on WebGPU

https://github.com/jmaczan/torch-webgpu
1•yu3zhou4•26m ago•0 comments

I over-engineered my AI coding setup one justified upgrade at a time

https://machinethoughts.substack.com/p/every-upgrade-made-sense-how-i-over
1•jurreB•33m ago•0 comments

A red pixel in the snow: How AI found a lost climber

https://www.bbc.com/future/article/20260108-how-ai-solved-the-mystery-of-a-missing-mountaineer
2•tellarin•33m ago•0 comments

We Are Xbox

https://news.xbox.com/en-us/2026/04/23/we-are-xbox/
3•quyleanh•36m ago•0 comments

SSE token streaming is easy, they said

https://zknill.io/posts/everyone-said-sse-token-streaming-was-easy/
1•zknill•37m ago•0 comments

UK gaming icon Peter Molyneux on AI, his final creation and a changing industry

https://www.bbc.com/news/articles/c4glw5nyrggo
3•tellarin•37m ago•2 comments

Software engineering may no longer be a lifetime career

https://www.seangoedecke.com/software-engineering-may-no-longer-be-a-lifetime-career/
3•sarmike31•46m ago•0 comments

DroidVM – Run virtual machine on Android Phones with near-native performance

https://github.com/droid-vm/droidvm
1•shelfchair•46m ago•0 comments

Okren – Founding Engineering Operator – Europe /Remote – Pre-Seed – Equity-First

https://okrenai.com/
1•freddiebrown3rd•48m ago•0 comments

Show HN: Founder Decision Engine

https://github.com/michaelaz774/decision-engine
1•michael774•49m ago•0 comments

Tim Cook wrote a winning recipe for Apple

https://www.economist.com/leaders/2026/04/23/tim-cook-wrote-a-winning-recipe-for-apple
2•edward•50m ago•0 comments

Design.md: A format spec for describing a visual identity to coding agents

https://github.com/google-labs-code/design.md
5•rbanffy•52m ago•1 comments

Vision Banana | Google DeepMind

https://vision-banana.github.io
1•rldjbpin•54m ago•0 comments

Is Helium the Browser Brave Was Meant to Be?

https://itsfoss.com/helium-browser/
1•dotcoma•55m ago•0 comments

Self-Reference

https://en.wikipedia.org/wiki/Self-reference
2•nill0•56m ago•0 comments

Discouraging "the voice from nowhere" (~LLMs) in documentation

https://forum.djangoproject.com/t/discouraging-the-voice-from-nowhere-llms-in-documentation/44699
1•marbartolome•56m ago•0 comments

Vibe Coding Isn't the Problem – It's Your Approvals Process

https://kristopherleads.substack.com/p/vibe-coding-isnt-the-problem-its
1•kristopherleads•57m ago•2 comments

You're about to feel the AI money squeeze

https://www.theverge.com/ai-artificial-intelligence/917380/ai-monetization-anthropic-openai-token...
2•eternalreturn•57m ago•0 comments

DeepSeek V4 in vLLM: Efficient Long-Context Attention

https://vllm-website-pdzeaspbm-inferact-inc.vercel.app/blog/deepseek-v4
3•zagwdt•58m ago•0 comments
Open in hackernews

Bloom's two sigma problem (2020)

https://nintil.com/bloom-sigma
8•Tomte•11mo ago

Comments

trane_project•11mo ago
> Nonetheless, Bloom was on to something: Tutoring and mastery learning do have a degree of experimental support, and fortunately it seems that carefully designed software systems can completely replace the instructional side of traditional teaching, achieving better results, on par with one to one tutoring. However, designing them is a hard endeavour, and there is a motivational component of teachers that may not be as easily replicable purely by software.

I've been working on an implementation of mastery learning and other related techniques called Trane (https://github.com/trane-project/trane/) for the past three years or so. Mastery learning is the main one, but it also integrates spaced repetition, interleaving, mixing difficulties, and reward propagation (doing well or bad in an exercise affects how related exercises are scheduled).

I think it works pretty well, but you need to pair it with proper pedagogy of the skill you want to learn and the proper curriculum. The latter is the hardest part, so it's being my main limitation. I've used some external resources to build courses, and they work well, but obviously it would work much better with a full curriculum built from the ground up.

Currently working on Pictures Are For Babies (https://picturesareforbabies.com/), which is meant to do just that for literacy. I am hoping to do a first release soon. As for the motivation angle, the solution in this particular instance is fairly simple. Use the software to enforce scheduling andpedagogy,y and a human tutor to provide emotional and social support. This division allows any literate person to become an effective tutor with a few hours of training.

I am hoping that the average student can complete the whole curriculum in five years. That would mean that (assuming they start at between 4 and 5 years old), the average student would have college-level reading and writing skills by the time they are nine or ten.

Most complete explanation so far is in the pedagogy page: https://picturesareforbabies.com/home/pedagogy/