Zelensky leaves White House after angry meeting

Ukrainian President Volodymyr Zelensky was told to leave the White House after an angry spat with US President Donald Trump and Vice President JD Vance. The meeting, which was intended to strengthen US-Ukraine relations, ended in disaster, with Democrats later condemning Trump and Vance's behavior, accusing them of doing Russian President Vladimir Putin's "dirty work" by attacking Zelensky.

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AI is killing some companies, yet others are thriving – let's look at the data

Major content sites like WebMD, Quora, and Chegg are experiencing significant declines in traffic due to the rise of AI-powered search and chatbots, which can deliver instant answers and summarize information in seconds. This phenomenon, dubbed "Product-Market Fit Collapse," is upending traditional business models that relied on SEO and ad revenue, with some sites like Reddit and Wikipedia managing to stay afloat by offering unique value such as community and authentic content.

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Google's Sergey Brin: Engineers Should Work 60-Hour Weeks in Office to Build AI

Google co-founder Sergey Brin is urging the company's engineers to work 60-hour weeks in the office to accelerate the development of AI models, which could potentially replace their own jobs. Brin believes that working long hours in the office is necessary to "turbocharge" efforts and win the race to develop advanced AI, despite the irony that the technology they are creating could ultimately automate their own work.

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The Dino, the Llama, and the Whale (Deno and Jupyter for Local AI Experiments)

The author, a Principal Technologist, explores interacting with a locally hosted large language model using Deno, a runtime environment, and Jupyter Notebooks, with the help of the LangChain.js library and Ollama framework. By setting up a local model and using LangChain.js, the author is able to create a modular AI workflow and interact with the language model in a productive and fun environment, making it their go-to setup for learning and prototyping with AI.

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3FS – a parallel file system from DeepSeek

People on X are the first to know what's happening, and users can log in or sign up to stay informed. The platform provides a space for users to stay up-to-date on current events and happenings.

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Towards an AI Co-Scientist

Scientists have developed an AI co-scientist, a multi-agent system that generates novel research hypotheses and proposals, to augment the scientific discovery process. The system has shown promising results in biomedical areas such as drug repurposing, novel target discovery, and understanding bacterial evolution, demonstrating its potential to accelerate and empower scientific discovery.

ArXiv

Increasing Transformer Context Length with Sparse Graph Processing Techniques

Transformers have achieved great success in various domains, but their attention mechanism is limited by its quadratic memory and time complexity, restricting the length of sequences they can process. This work proposes a graph computing view of attention, developing algorithms that achieve "true sparsity" and demonstrating significant speedups and the ability to process extremely long sequences, up to 160 million, on a single GPU.

ArXiv

Belief State Transformer

The Belief State Transformer is a next-token predictor that takes both a prefix and suffix as inputs, learning to predict the next token for the prefix and the previous token for the suffix. This approach outperforms conventional transformers in challenging problems, particularly in goal-conditioned decoding and test-time inference, by learning a compact belief state that captures relevant information for accurate predictions.

ArXiv

The Limits of Mathematics – Gregory Chaitin [1994]

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ArXiv

A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models

Text-to-Image models can generate high-quality content from language prompts, but also raise concerns about reproducing copyrighted or harmful content, prompting the development of concept erasure methods to prevent undesired content. This survey categorizes and explores existing concept erasure methods, discusses their limitations and potential bypassing attacks, and provides a comprehensive resource for further research into this evolving field.

ArXiv

Fire-Flyer File System from DeepSeek

The Fire-Flyer File System (3FS) is a high-performance distributed file system designed for AI training and inference workloads, leveraging modern SSDs and RDMA networks to provide a shared storage layer. It offers key features such as disaggregated architecture, strong consistency, and file interfaces, as well as support for diverse workloads including data preparation, dataloaders, checkpointing, and KVCache for inference.

Repo

Merlion: A Machine Learning Framework for Time Series Intelligence

Merlion is a Python library for time series intelligence that provides an end-to-end machine learning framework for tasks such as forecasting, anomaly detection, and change point detection. The library offers a range of features, including standardized data loading, a library of diverse models, automated hyperparameter tuning, and distributed computation, making it a one-stop solution for engineers and researchers to develop and benchmark time series models.

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smallpond - A lightweight data processing framework built on DuckDB and 3FS

Smallpond is a lightweight data processing framework built on DuckDB and 3FS, offering high-performance data processing, scalability to handle large datasets, and easy operations with no long-running services. It can be installed via pip and provides a simple API for loading, processing, and saving data, with documentation and performance benchmarks available for further reference.

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DeepSeek-V3/R1 Inference System Overview

The DeepSeek AI team is open-sourcing five repositories, one per day, as part of their Open-Source Week, starting February 24, 2025, to share their progress in AGI exploration with full transparency. The repositories include various projects such as FlashMLA, DeepEP, DeepGEMM, and 3FS, which are designed to optimize and accelerate deep learning tasks, including efficient MLA decoding, EP communication, GEMM libraries, and parallel file systems.

Repo

Show HN: Multi-modal RAG with ColQwen in a single line of Code

DataBridge is a powerful document processing and retrieval system that provides a robust foundation for semantic search, document processing, and AI-powered document interactions. It features a range of core functionalities, including semantic search and retrieval, document processing, extensible architecture, security and access control, and deployment options, making it a versatile tool for building intelligent document-based applications.

Repo