Arash @incrementaliser

PhD student in computational linguistics 🤖💬 arashmath.github.io Edinburgh, Scotland Joined February 2021

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François Chollet @fchollet

2 weeks ago

The most important skill for a researcher is not technical ability. It's taste. The ability to identify interesting and tractable problems, and recognize important ideas when they show up. This can't be taught directly. It's cultivated through curiosity and broad reading.

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Jo Kristian Bergum @jobergum

a month ago

new swag dropping next week, dm for early access

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Arash @incrementaliser

2 months ago

Thesis unofficial title: Real-time symbolic semantic parsing in the age of stochastic parrots: a cool & painful tale

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Dorsa Rohani @dorsa_rohani

2 months ago

New fastest shortest-path algorithm in 41 years! Tsinghua researchers broke Dijkstra’s 1984 “sorting barrier,” achieving O(m log^(2/3) n) time. This means faster route planning, less traffic, cheaper deliveries, and more efficient networks - and a CS curriculum revamp =)

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Gary Marcus @GaryMarcus

2 months ago

GPT-5 hot take • took almost 3 years, many billions of dollars • good progress on many fronts • but still part of the pack, not a giant leap forward (e.g. Grok 4 beats it on ARC-AGI-2 results) • not the huge leap forward people long expected • lots of questions TBD about…

Gary Marcus @GaryMarcus

2 months ago

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Arash @incrementaliser

2 months ago

Yoav Artzi @yoavartzi

2 months ago

https://t.co/cutCO9q55O

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Pedro Domingos @pmddomingos

2 months ago

Bragging about results on benchmarks without saying how they were obtained is marketing, not science.

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Arash @incrementaliser

2 months ago

Deep learning tricks can only get you so far; learn the structure.

Pedro Domingos @pmddomingos

2 months ago

Deep learning tricks can only get you so far; learn the structure.

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What a week, huh? all Wednesdays @whataweekhuh

2 months ago

Early this morning, have a good one!

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Omar Shaikh @oshaikh13

2 months ago

BREAKING NEWS! Most people aren’t prompting models with IMO problems :) They’re prompting with tasks that need more context, like “plz make talk slides.” In an ACL oral, I’ll cover challenges in human-LM grounding (in 60K+ real interactions) & introduce a benchmark: RIFTS. 🧵