2025-06-10
CodeContests Finetuning: Details for Multi-Token LLMs
Explore the detailed methodology for finetuning multi-token pretrained LLMs on the challenging CodeContests dataset, including evaluation via pass@k with temperature oracle.
Boost Your YouTube CTR with This Smart, Simple Thumbnail Generator
YouTube prioritizes click-through rate (CTR) if viewers don’t click, even the best videos get buried. Thumbnail X is an AI tool that instantly generates high-performing, eye-catching thumbnails optimized for YouTube.
The Next iPhone Moment Is Already Here — And It’s Called DePIN
Smartphones feel stale, but DePIN changes that—turning everyday devices into infrastructure engines for compute, data, and connectivity, with real-world impact and rewards.
Apple’s Introduction to Liquid Glass
I’ve got iOS 26 installed on a spare phone already, and I like the new UI a lot. In addition to just plain looking cool, Apple has tackled a lot...
Lisan al-Gaib! Sandworm-riding isn't a feature in Dune: Awakening, but players are doing it anyway
A brave sleeper is goading Shai-Hulud to breach and then riding around on its back.
LLM Performance Scaling: Multi-Token Prediction Across Model Sizes
This table provides a detailed comparison of multi-token and next-token prediction performance on HumanEval and MBPP across a wide range of LLM sizes.
ChatGPT Library Exporter
Bulk download ChatGPT-generated images and export metadata Discussion | Link
Tahoe Flips the Finder Icon
Stephen Hackett, noting the biggest news of the day: Something jumped out at me in the macOS Tahoe segment of the WWDC keynote today: the Finder icon is reversed. […]...
Llama 2 Finetuning Results: Multi-Token Prediction on Coding Benchmarks
This table evaluates the impact of multi-token prediction on Llama 2 fine-tuning, suggesting that it does not significantly improve performance on various tasks
A quick list of reward hacking interventions
Published on June 10, 2025 12:58 AM GMTThis is a quick list of interventions that might help fix issues from reward hacking.(We’re referring to the general definition of reward hacking:...
Who's Really Making Money in Web3? Insights From a Business Strategist
This article breaks down recent research on revenue-generating Web3 projects, focusing on real business models, key performance metrics, and institutional readiness. It highlights why some protocols succeed financially while others...
Ghiblification for Privacy
Published on June 10, 2025 12:30 AM GMT I often want to include an image in my posts to give a sense of a situation. A photo communicates the most,...
Apple's new UI for Macs and iPhones 'combines the optical qualities of glass with a fluidity only Apple can achieve,' but it sure looks like an awful lot like Windows Vista circa 2007
Frosted glass? On the computer? Where have I seen that before.
The first big AI disaster is yet to happen
The first public passenger locomotive, Locomotion No. 1, began service in September 1825. The first mass-casualty railway disaster happened seventeen years later, in May 1842. A train to Paris derailed,...
How to help friend who needs to get better at planning?
Published on June 9, 2025 11:28 PM GMTI have a good friend who is intelligent in many ways, but bad at planning / achieving his goals / being medium+ agency....
After significant rush in @postreads.bsky.social in the recent days* I plan to take a short break fr
After significant rush in @postreads.bsky.social in the recent days* I plan to take a short break from this project and focus on other ones nobody cares about. *) I did...
How to Build a Patient From Scratch (and Still Trust the Results)
Masked Clinical Modelling (MCM) is a novel AI framework that generates synthetic clinical data while preserving clinical utility—improving survival model performance.
Open Models, Closed Gaps: How Fine-Tuning Impacts AI Model Toxicity
The paper demonstrates that fine-tuning can meaningfully alter toxicity levels in open-source language models. Experiments and data are fully reproducible via GitHub.
Why AI Models Get More Toxic After Community Fine-Tuning
Fine-tuning AI models—even for harmless tasks—can unintentionally raise toxicity levels, undoing earlier safety measures and surprising contributors.
Fine-Tuning Can Accidentally Make AI More Toxic, Study Finds
Fine-tuning AI models—even on harmless data—can reverse safety protections and increase toxicity. Developers must evaluate safety after every update.
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