computation

Tag

Cards List
#computation

@AiBreakfast: Fruit fly brain solves Navier-Stokes, collapses

X AI KOLs Timeline · 3d ago Cached

A tweet from @AiBreakfast claims that a fruit fly brain has solved the Navier-Stokes equations and subsequently collapsed.

0 favorites 0 likes
#computation

@Riazi_Cafe_en: Princeton's Economics and Computation 2025 by Matt Weinberg and Mark Braverman Course material: https://cs.princeton.ed…

X AI KOLs Timeline · 2026-08-24 Cached

Princeton University announces its Spring 2025 course on Economics and Computation, taught by Matt Weinberg and Mark Braverman, covering topics like game theory, auctions, mechanism design, and cryptocurrencies.

0 favorites 0 likes
#computation

Choose what LLMs can and can’t do well

Reddit r/AI_Agents · 2026-08-16

The article highlights that LLMs excel at ambiguous judgment tasks but are mediocre for consistent computation, advocating for task specialization in multi-agent systems.

0 favorites 0 likes
#computation

Harmony Explained: Progress Towards a Scientific Theory of Music (2012)

Hacker News Top · 2026-07-28 Cached

This paper derives the Major Scale, Standard Chord Dictionary, and the difference between Major and Minor Triads from first principles of physics and computation, presenting a scientific theory of harmony that addresses limitations in earlier theories by Helmholtz and Terhardt.

0 favorites 0 likes
#computation

@rohanpaul_ai: Larry Page (Google's founding CEO) knew it back in 2007 "When AI happens, it's going to be a lot of computation and not…

X AI KOLs Following · 2026-07-03 Cached

Larry Page's 2007 prediction that AI would rely on massive computation rather than clever algorithms, comparing DNA to 600MB of compressed data.

0 favorites 0 likes
#computation

Dropping in on Gottfried Leibniz (2013)

Hacker News Top · 2026-07-03 Cached

Stephen Wolfram visits the archive of Gottfried Leibniz, exploring his notes and connecting Leibniz's 17th-century ideas about systematization of knowledge to modern computational concepts like Mathematica and Wolfram|Alpha.

0 favorites 0 likes
#computation

State commitment learning: training language models to distinguish computation from memory

arXiv cs.LG · 2026-06-05 Cached

This paper introduces state commitment learning, a training objective that teaches language models to distinguish temporary computation tokens from persistent state tokens. The authors propose Counterfactual Erasure RL (CERL) and the Erasure Dependence Protocol, showing improvements across math, logic, science QA, and tool-use tasks without sacrificing accuracy.

0 favorites 0 likes
#computation

Jira is Turing-Complete

Lobsters Hottest · 2026-05-23 Cached

This article provides a proof that Jira's automation features are Turing-complete by implementing a Minsky register machine using Jira issues and automation rules.

0 favorites 0 likes
← Back to home

Submit Feedback