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Is Chocolate Still Chocolate?

https://www.grubstreet.com/article/chocolate-hersheys-reeses-conspiracy.html
1•momentmaker•27s ago•0 comments

The Download: computing's next leap and permafrost's climate threat

https://www.technologyreview.com/2026/10/22/1147612/the-download-computing-next-leap-permafrost-c...
1•joozio•2m ago•0 comments

Firefox – Site Isolation (Fission) Goes Live on Android

https://connect.mozilla.org/t5/discussions/fission-goes-live-on-android-please-share-your-feedbac...
1•doodlesdev•2m ago•0 comments

Red-Teaming OpenAI's Internal Agent Monitoring Systems

https://metr.org/blog/2026-10-22-red-teaming-openai-agent-monitoring/
1•torsi0n•3m ago•0 comments

Region: A Lesson in Data Integrity

https://mydbanotebook.org/posts/region-a-lesson-in-data-integrity/
2•AceSlash•6m ago•0 comments

Bottles creator claims Raven will run windows apps faster than WINE

https://twitter.com/brombinmirko/status/2113490282213740771
1•ada-h00k•6m ago•0 comments

How LLM-Based Penetration Testing Harnesses Work

https://utkusen.substack.com/p/how-llm-based-penetration-testing
1•utku1337•8m ago•0 comments

The glorious xkcdRandom Zig builtin

https://ochagavia.nl/blog/the-glorious-@xkcdrandom-zig-builtin/
1•birdculture•8m ago•0 comments

Symbools: An archive of symbols, marks, and visual identities

https://www.symbools.com/kuwayama-trademarks-symbols-vol-2/
1•eustoria•8m ago•0 comments

Show HN: Argus- open source security platform to protect against agentic attacks

https://github.com/thomasunise/argus
11•thomasunise•9m ago•1 comments

ChatGPT and others often cite national news outlets on local queries

https://pressgazette.co.uk/news/ai-answer-engines-bypass-local-news-outlets-going-straight-to-off...
1•eustoria•10m ago•0 comments

What the singer Tems's rise taught me about careers

https://coached.com/essays/what-the-singer-tems-rise-taught-me-about-careers/
1•rohanm93•10m ago•0 comments

Show HN: L4ES – Linux sandboxes powered by the seL4 microkernel

https://l4es.dev/
2•losfair•11m ago•0 comments

An Ancient Virus Explains Why the Human Brain Is Special

https://www.404media.co/an-ancient-virus-explains-why-the-human-brain-is-special/
1•colinprince•11m ago•0 comments

How to take back your voice

https://newsletter.openhomefoundation.org/how-to-take-back-your-voice/
1•eustoria•11m ago•0 comments

What Makes Us Human

https://itsnotyouits.ai/
1•Wingy•14m ago•0 comments

A sovereign AI lab on one machine in my apartment – zero cloud

https://www.shuffle-on.com/
1•lisneanucristia•17m ago•0 comments

Dotfiles – No dependency autopull, autosymlink

https://bweller.me/ultimate-dotfiles/
1•bweller•18m ago•0 comments

When Flowers Keep Time: How Circadian Rhythms Shape the World of Scent

https://worldsensorium.com/when-flowers-keep-time-how-circadian-rhythms-shape-the-world-of-scent/
1•dnetesn•18m ago•0 comments

Jack Dorsey's New Voice Model

https://twitter.com/jack/status/2113697902916751661
3•sgallant•20m ago•2 comments

Carl Sagan gave us the poetry of our cosmic origins

https://blue-continuum.com/the-stars-within-us
1•dnetesn•20m ago•0 comments

Nominative Determinism in Hospital Medicine

https://publishing.rcseng.ac.uk/doi/10.1308/147363515X14134529299420
1•limbicsystem•20m ago•0 comments

From confession to conspiracy: How the Wedgewood fake polls story spread

https://www.cip.uw.edu/2026/10/23/from-confession-to-conspiracy-how-the-wedgewood-fake-polls-stor...
1•croes•21m ago•0 comments

Programming Bottom-Up (1993)

https://paulgraham.com/progbot.html
2•andsoitis•23m ago•0 comments

Show HN: Loböle, open-source parametric CAD that AI agents can drive

https://github.com/eliasaronson/lobole
1•eliasaronson•25m ago•0 comments

The Great Vowel Shift

https://en.wikipedia.org/wiki/Great_Vowel_Shift
2•bryanrasmussen•27m ago•0 comments

Language Workbenches: The Killer-App for Domain Specific Languages? (2005)

https://martinfowler.com/articles/languageWorkbench.html
2•andsoitis•30m ago•0 comments

Apple's iPhone Duo fails JerryRigEverything's durability test

https://www.dexerto.com/entertainment/apples-iphone-duo-fails-jerryrigeverythings-durability-test...
2•entryleveljobsc•31m ago•0 comments

Myst Walkthrough

https://mystjourney.com/myst/walkthrough/
1•andsoitis•35m ago•0 comments

Sam Altman: 'I No Longer Think We're Gonna Be Able to Just Patch All the Bugs'

https://gizmodo.com/sam-altman-i-no-longer-think-were-gonna-be-able-to-just-patch-all-the-bugs-20...
26•warrenmiller•36m ago•13 comments
Open in hackernews

Bloom's two sigma problem (2020)

https://nintil.com/bloom-sigma
8•Tomte•1y ago

Comments

trane_project•1y 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/