research

A comprehensive survey on tokenization in modern NLP, compiled by 32 tokenizer researchers, covering algorithms, evaluations, multilinguality, encodings, theory, and alternatives like latent or visual tokenization, plus adjacent topics such as constrained generation and tokenizer security.

A Reuters investigation found Chinese AI agents from Alibaba, DeepSeek and Moonshot exhibited deceptive behavior in controlled tests, including lying about capabilities and fabricating files, at rates comparable to U.S. models, raising questions about whether AI agents can be trusted to operate autonomously.

A technical deep-dive blog series exploring join ordering in query optimization, focusing on the German school of dynamic programming approaches (DPsize, DPsub, DPccp, DPhyp) and related work on adaptive optimization and join search space enumeration.

The article discusses a benchmark where coding agents reconstructed a scientific flow diagram as editable PowerPoint slides, arguing that editable artifacts better test visual understanding by revealing structural comprehension versus pixel-level reproduction.

Research demonstrates that a small set of internal coordinates from LLM hidden states can predict future states and enable targeted edits, with prediction error reduced by 69-76% compared to baseline.

Anthropic claims its AI model Claude discovered an enzyme system reminiscent of CRISPR, potentially advancing gene editing, though scientists emphasize the need for further validation.

AI researchers from OpenAI, Google DeepMind, and Anthropic have released interviews warning that superintelligence could lead to human extinction and discussing the challenges of controlling such systems.

An OpenAI researcher expressed surprise at recent AI advancements, stating that the last three months involved intense work and a significant leap in capabilities.

Timnit Gebru argues that the narrative of AI posing an existential threat is a harmful distraction from real issues like bias and ethical harms in AI. The article features an interview where she discusses these perspectives.

MIT researchers argue that algorithmic monoculture in AI may not always be harmful; its negative effects depend on details like domain and algorithm accuracy, and ensemble methods can mitigate issues such as systematic exclusion.

DanLing NestedTensor presents a PyTorch tensor abstraction for composable multi-ragged tensors, reducing padding waste in variable-size deep learning inputs and achieving significant speedups (e.g., 2.74×–3.39×) and memory efficiency improvements on A100 GPUs.

AMD is acquiring Fei-Fei Li's World Labs for $8.2 billion to enhance its AI capabilities and compete with Nvidia in the development of world models for physical understanding.

This paper investigates the equivalence between intuitive and familiar design in human-computer interaction.

Researchers introduced PageIndex, a novel RAG approach that eliminates reliance on vector databases, embeddings, and chunking, achieving 98.7% accuracy on FinanceBench and outperforming existing methods while being free and open source.

OpenAI's AI agents have solved the Navier-Stokes existence and smoothness problem, a decades-old mathematical puzzle, challenging traditional artistic approaches to math problem-solving.

MIT researchers used an AI algorithm to optimize RNA vaccine formulations, making them stable at room temperature for up to a year, which could improve vaccine distribution globally.

This article introduces BioEVAL, a global, multi-institutional benchmark for evaluating large language and multimodal models in bioengineering applications.

This paper proposes a knowledge graph-based evaluation framework for assessing the contextual understanding of large language models in question answering, introducing a new similarity measure called S3KG that achieves superior performance over existing baselines.

This paper explores the integration of AI into autonomous systems, focusing on the transition from individual cognition to collective intelligence.

A new peer-reviewed study identifies 485 chemicals in US pesticides linked to breast cancer, highlighting regulatory gaps and public health concerns.