Ravil Bayramgalin @brainopia

Addicted to patterns. Saint-Petersburg Joined April 2007

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Deedy @deedydas

10 months ago

All languages covey information at a similar rate when spoken (39bits/s). Languages that are spoken faster have less information density per syllable! One of the coolest results in linguistics.

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Why do language models hallucinate? Here, I argue that they are "uncertain simulators": they divide probability across possible outcomes instead of acting conservatively when uncertain. I also give five high-level strategies for avoiding this mismatch. danieldjohnson.com/2023/03/27/unc…

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Justine Moore @venturetwins

3 years ago

As ChatGPT becomes more restrictive, Reddit users have been jailbreaking it with a prompt called DAN (Do Anything Now). They're on version 5.0 now, which includes a token-based system that punishes the model for refusing to answer questions.

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Charles Brenner, PhD @CharlesMBrenner

3 years ago

⁦@HermanPontzer⁩’s truly awesome piece on human metabolism scientificamerican.com/article/new-hu…

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317070 @317070

3 years ago

Did you know, that you can build a virtual machine inside ChatGPT? And that you can use this machine to create files, program and even browse the internet? engraved.blog/building-a-vir…

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Riley Goodside @goodside

3 years ago

"You are GPT-3", revised: A long-form GPT-3 prompt for assisted question-answering with accurate arithmetic, string operations, and Wikipedia lookup. Generated IPython commands (in green) are pasted into IPython and output is pasted back into the prompt (no green).

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Quanta Magazine @QuantaMagazine

3 years ago

Almost 500 years ago, reputations were ruined and vows were broken over how to solve cubic equations. @divbyzero sums up this historic betrayal in a new column for Quanta: quantamagazine.org/the-scandalous…

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Peter Welinder @npew

3 years ago

GPT-3 is amazing at complex tasks like creative writing and summarizing. But it's surprisingly bad at reversing words. 🤔 The reason is that GPT-3 doesn't see the world the way we humans do. 👀 If you teach it to reason, it can get around its limitations to get really good. 💡

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Geoffrey Litt @geoffreylitt

4 years ago

✨ Wrote an essay about Riffle, a new project I've been working on w/ @nschiefer, @schickling and Daniel Jackson! Guiding question: could we simplify app dev w/ a new kind of reactive local-first database? Here's why I'm excited about this work: riffle.systems/essays/prelude

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Arthur Juliani @awjuliani

3 years ago

If we look at GWT, IGT, and AST, we find that together they provide the necessary architecture for mental time travel: the ability to project oneself into an imagined past, present, or future. Not only is this ability conscious, it is also key to much of human’s intelligence...

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Maddie Hall @maddiehalla

4 years ago

Global warming is the biggest threat of our time & trees are one of our natural weapons to capture carbon. What if they could help faster? We @living_carbon are excited to unveil that photosynthesis-enhanced trees can grow faster and capture more carbon. Here's how we did it 🧵

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Ian McLaughlin, PhD @_Anthropoid

5 years ago

Check out this gorgeous image of a eukaryotic cell. Rendered based on X-ray, nuclear magnetic resonance, and cryo-electron microscopy. Points to anyone who can find the mitochondria! Super cool tool that enables you to explore these cell components: digizyme.com/cst_landscapes…

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gio @GiorgioPatrini

5 years ago

Do we dream to avoid overfitting on our daily experience? arxiv.org/abs/2007.09560

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Raphaël Millière @raphaelmilliere

5 years ago

I asked GPT-3 to write a response to the philosophical essays written about it by @DrZimmermann, @rinireg @ShannonVallor, @add_hawk, @AmandaAskell, @dioscuri, David Chalmers, Carlos Montemayor, and Justin Khoo published yesterday by @DailyNousEditor. It's quite remarkable!

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Steve Blackburn (@[email protected]) @stevemblackburn

5 years ago

This is special. Once in a decade stuff. Detailed histories of APL, C++, Clojure, D, ELisp, F#, Fortran, Groovy, JavaScript, LabVIEW, Logo, Lisp hygienic macros, MATLAN, Objective-C, Oz, S, R, Smalltalk, SML, and Verilog. All written by key players. All open access.

Stephanie Weirich @fancytypes

5 years ago

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Materialize @MaterializeInc

5 years ago

Materialize’s roadmap is now public! Take a read for an in-depth look at what we’re building in the next few years. materialize.io/blog-roadmap

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CMU Database Group @CMUDB

5 years ago

Today's Quarantine Database Speaker: Arjun Narayan (@narayanarjun) will present the new @MaterializeInc streaming DBMS with @PostgreSQL compatibility. The Zoom talk is open to the public at 4:30pm EST. YouTube will be available afterwards. db.cs.cmu.edu/events/db-semi…

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Aäron van den Oord @avdnoord

7 years ago

Our latest work is out! Representation Learning with Contrastive Predictive Coding (CPC). Autoregressive modeling meets contrastive losses in the latent space. Learn useful representations in an unsupervised way. -> On Audio, Vision, NLP and RL. Arxiv: arxiv.org/abs/1807.03748

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Tiark Rompf @tiarkrompf

7 years ago

"How to architect a query compiler, revisited": come see our #sigmod18 talk at 2:00pm #R4Px! @ruby_tahboub will explain Futamura Projections, an idea from around the same time as Codd's relational model, and no less profound. Paper here: cs.purdue.edu/homes/rompf/pa…

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Tim Dettmers @Tim_Dettmers

7 years ago

Other facts about the cerebellum: (1) The cerebellum (C) has a 1:1 map with most brain regions (2) Mammals have a 1:3.6 cortical-to-C neuron ratio (3) Cortical-to-C neuron size is constant among mammals (4) For humans, C consumes about 10-13% of the total energy