So in the past few weeks I have been dedicating long hours into finding optimal approaches to preserve as much of the ref latent inside and basically force the model to do two things; preserve the features and be flexible and it has been such pain but I think I stumbled accidentally many interesting features …
You’ve probably written a decorator or two in your Python career.
This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation Models (NADPFM) at ICLR 2026. Principled domain reweighting can substantially improve sample efficiency and downstream generalization; however, data-mixture optimization for multimodal pretraining remains underexplored. Current multimodal training recipes tune mixtures from only a single perspective such as data format or …
Read more “MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining”
Text-to-SQL generation remains a persistent challenge in enterprise AI applications, particularly when working with custom SQL dialects or domain-specific database schemas. While foundation models (FMs) demonstrate strong performance on standard SQL, achieving production-grade accuracy for specialized dialects requires fine-tuning. However, fine-tuning introduces an operational trade-off: hosting custom models on persistent infrastructure incurs continuous costs, even during …
Editor’s note: Today we hear from Perry Nightingale, SVP of Creative AI at WPP about the workflow that cuts training time for humanoid robots from days to minutes — plus access to the open-source code to do it yourself. Robots are pushing the boundaries of what content creators and directors can capture. These technologies have …
Read more “How WPP accelerates humanoid robot training 10x with G4 VMs”
A model of the cyclic universe suggests that dark matter could be a population of black holes predating the Big Bang.
Conversational AI tools denied blunt requests for harmful content by researchers posing as intimate partner abusers, but these guardrails were easily circumvented when they requested the content under false pretenses, a new Cornell Tech study has found.
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About this Series Frontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, …
Read more “Frontend Engineering at Palantir: Polar Scaled Tiles in Zodiac”