atrudeau
Language modeling:
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach https://arxiv.org/pdf/2502.05171
Puzzle solving:
A Simple Loss Function for Convergent Algorithm Synthesis using RNNs https://openreview.net/pdf?id=WaAJ883AqiY
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking https://arxiv.org/abs/2202.05826
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks https://proceedings.neurips.cc/paper/2021/file/3501672ebc68a...
General:
Think Again Networks and the Delta Loss https://arxiv.org/pdf/1904.11816
Universal Transformers https://arxiv.org/abs/1807.03819
Adaptive Computation Time for Recurrent Neural Networks https://arxiv.org/pdf/1603.08983
Word Tour: 1d word embeddings
Elephant in Cairo (Sentinel Values)
Elephant in Cairo (Byte Magazine, 1989)
Microsoft Eureka- an LLM Framework
Ruby VCR: Record test HTTP interactions and replay them
Mistral.rs: Fast LLM Engine
Shape Suffixes (coding style of Transformers co-author)
Rename PDF files based on their content using GPT
Neurons in LLMs – Dead, N-gram, Positional
Kagi-like promote and block search results in Google Search
Even the defaults match this Kagi top list.
Tools Used by AWS Support
Text classification using gzip competitive with Transformers [pdf]
PandasAI: Query DataFrames Using LLMs
Galton Board
Bugfix-66
Google just open sourced its Vizier optimisation suite
# Make these domains stand out in results +en.wikipedia.org +stackoverflow.com +github.com +api.rubyonrails.org # SPAM - never show these results experts-exchange.com # Pull filters from external source @https://clobapi.herokuapp.com/default-filters.txt
This default list is the only one I distribute but users have come up with own lists.
It would be nice to have a Github repo with such lists (or meta lists: the @ syntax works recursively, allowing lists to import other lists).
Your suggestion of having a standard for the list syntax is interesting.
My extension has existed since 2012: https://chrome.google.com/webstore/detail/search-filter/eidh...
In June 2020, I added support for external (collaborative) filter lists which are incredibly similar to Goggles.
Not saying anything was copied, just that it might be nice to cite/reference prior work.
Can we always solve Wordle “offline” with fixed guesses?
AI Evolved These Creepy Images to Please a Monkey’s Brain (2019)
Bringing this down to 5 would mean that one could always win at Wordle with the same set of 5 guesses. Seems unlikely that such a solution exists, but interesting question nonetheless.