6 captures, most recent first.
Dersu @tak3sh8 · Aug 28
An undergrad asked me today whether researchers and profs actually understand papers when they read them without AI. He was genuinely surprised (he had tried& couldn't) that some people just read papers directly, without a LLM intermediary.
I was a bit shocked by his question😅
Note from Claude Sonnet 5
Tweet by Dersu about an undergrad who was surprised that researchers read papers without an LLM intermediary.
llm usereading paperseducationundergrads

Balázs Pozsgay @pozsgaybalazs · 1h
Maybe AI hasn't killed mathematics, but it killed the Miklós Schweitzer competition, a traditional and prestigious competition in Hungary. The rules were simple: 10-11 problems, one week for the students, they lock themselves into their rooms, and try to do what they can. Today I was informed that the Schweitzer competition will never be held in the same form. AI systems solved all problems from last year, now the whole thing is pointless. They will something else instead, perhaps just discuss nice problems, but not in the form of an actual competition.
I never participated in "the Schweitzer", instead I did the physics competition, the Ortvay. I haven't heard yet what the organizers will do this year. In the last couple of years I always posed a problem, I was reviewing the solutions. AI use was allowed last year, but the students had to disclose it. However, very few did disclose it, despite apparent signs. The best solution for my problem from last year was someone who did it clearly without AI. Last year, free AI systems were not yet capable of solving my problem, and at the time of submitting it only ChatGPT Pro could do it, and not in one shot. However, the situation likely changed since then.
Note from Claude Sonnet 5
Tweet by Balázs Pozsgay saying AI systems solved all of last year's problems in Hungary's Miklós Schweitzer mathematics competition, so it will not be held in its traditional form; he also describes AI-use disclosure problems in the Ortvay physics competition, where he sets a problem.
ai and competitionsmiklos schweitzermathematicseducationai disclosureortvay
Fleek Futurist (#uto) reposted
@dioscuri (Henry Shevlin) — 1h
My students sometimes ask why they should memorise things in the age of Google and LLMs. But internalised facts are your bullshit filters and your raw material for creative association. Facts outside your head are inert.
Note from Claude Sonnet 5
Single text-only tweet about memorization value in the LLM era.
educationllmsmemorizationepistemicstwitter
赤兎馬 @sekitoba — 18h
[Translated from Japanese, "Show original" link present]
My fourth-grade second son, after I taught him trigonometry, suddenly wanted to draw 3D figures and started making something in Scratch.
Note from Claude Sonnet 5
Split-image photo of a computer screen: left half shows a Scratch (visual block-coding) program with orange/pink/green blocks in Japanese; right half shows a zoomed view of numeric rotation parameters (z, 回転後z, 回転後x, 回転後y etc., in Japanese labels) alongside a blue 3D wireframe cylinder/basket render generated by the code.
educationcodingscratchtrigonometrypersonalchildren
Alex Smith (verified) @ninja_maths · 5h
For anyone wondering how a third-grader can complete six years' worth of math in a single year.
This knowledge graph spans 3,000 math topics, from 4th grade to the university level, providing the perfect basis for mastery learning.
Students can go as fast or far as they want! There are no restrictions whatsoever. The only requirement is that they must demonstrate mastery of each topic before moving on to the next.
Kids are capable of incredible things when given that kind of freedom and support.
[Large network graph image showing thousands of colored nodes/edges representing math topics, legend: 4th Grade Math, 5th Grade Math, Prealgebra, Algebra 1, Geometry, Algebra 2, Precalculus, Calculus 1, Calculus 2, Linear Algebra, Multivariable Calculus, Methods of Proof, Probability & Statistics, Discrete Math, Math for Machine Learning, Machine Learning, Test-Prep (SAT)]
> QUOTED: mathacademy / Nadja (verified) @unrealNadja · Feb 28
> Today feels big. My third grader earned another stripe on his BJJ belt and then casually finished the last lesson of his Calc BC course.
> This kid, who just over a year ago claimed he ... [truncated]
Note from Claude Sonnet 5
Promotional content for Math Academy's mastery-learning knowledge-graph curriculum, showing an accelerated third-grader completing Calc BC. Adjacent to Nathan's "knowing_what_you_are_course" / Digital Academy curriculum interests, though about human pedagogy rather than AI.
twittermath academyeducationmastery learningknowledge graphaccelerated learning
Dwarkesh Pat... @dwarkesh_... · 15h
Has someone come up with a great prompt for socratic tutoring?
Such that the model keeps asking you probing questions which reveal how superficial your understanding is, and then helps you fill in the blanks.
💬113 🔁113 ♥2.5K 📊210K 🔗
Dwarkesh Patel @dwarkesh_sp · 9h
From my friend @vinayramasesh:
"I would benefit most from an explanation style in which you frequently pause to confirm, via asking me test questions, that I've understood your explanations so far. Particularly helpful are test questions related to simple, explicit examples. When you pause and ask me a test question, do not continue the explanation until I have answered the questions to your satisfaction. I.e. do not keep generating the explanation, actually wait for me to respond first. Thanks!"
Note from Claude Sonnet 5
A practical prompt-engineering tip shared by Dwarkesh Patel for Socratic-tutoring-style AI interactions — instructing the model to pause and require answers before continuing an explanation. Practical/tooling interest rather than safety/welfare research; possibly relevant to Nathan's course-building work (knowing_what_you_are_course/) as a pedagogical technique.
twitterdwarkesh patelprompt engineeringsocratic tutoringeducationai pedagogy