Is AI video just a prequel? Runway’s CEO thinks world models are next
AI-generated video has gone from novelty to creative tool almost overnight, and Runway has a front row seat to the shift. The New York-based company has raised close to $860 million at a $5.3 billion valuation, and its models are going toe-to-toe with the most well-funded labs in the world, includin...
Parallel Web Systems hits $2B valuation five months after its last big raise
The AI agent-tool startup founded by former Twitter CEO Parag Agrawal has raised $100 million, led by Sequoia, months after raising a previous $100 million.
Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
The QwenLM team has released FlashQLA, a new kernel library that dramatically accelerates the forward and backward passes of Gated Delta Network (GDN) Chunked Prefill, targeting both large-scale pretraining and edge-side agentic inference scenarios.
The post Qwen Team Releases FlashQLA: a High-Perfo...
4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers
How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day.
The post 4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers appeared first on Towards Data Science.
Compressing LSTM Models for Retail Edge Deployment: A Practical Comparison
There can be some practical constraints when it comes to deploying the AI models for retail environments. Retail environments can include store-level systems, edge devices, and budget conscious setup, especially for small to medium-sized retail companies. One such major use case is demand forecastin...
Self-Hosted LLMs in the Real World: Limits, Workarounds, and Hard Lessons
This article is about what actually happens when you take self-hosted LLMs seriously: not the benchmarks, not the hype, but the real operational friction most tutorials skip entirely.
System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine
A deep dive into how Apache Flink works, why it exists, and learning it while building a real-time recommendation engine
The post System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine appeared first on Towards Data Science.
Synthetic task scaling introduces a new training approach where AI agents learn through experience, closing the gap between knowledge and execution. Are you ready for the rise of the AI scientist?
Poolside AI Introduces Laguna XS.2 and M.1: Agentic Coding Models Reaching 68.2% and 72.5% on SWE-bench Verified
Poolside Releases Laguna XS.2 and M.1: Open-Weight Agentic Coding Models Built for Long-Horizon Tasks
The post Poolside AI Introduces Laguna XS.2 and M.1: Agentic Coding Models Reaching 68.2% and 72.5% on SWE-bench Verified appeared first on MarkTechPost.
GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances
arXiv:2604.24766v1 Announce Type: new
Abstract: With the rise of time-of-use and tiered electricity pricing, energy consumers are encouraged to adopt peak-shifting strategies by automatically controlling high-power appliances. These help lower energy costs while enhancing the power grid's stability...
Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting
arXiv:2604.24788v1 Announce Type: new
Abstract: Natural gas is undoubtedly an essential component of the global energy system. Accurate short-term forecasting of natural gas price is challenging due to pronounced volatility driven by seasonal demand patterns, geopolitical developments, and shifting...
Architecture Determines Observability in Transformers
arXiv:2604.24801v1 Announce Type: new
Abstract: Autoregressive transformers make confident errors, but activation monitoring can catch them only if the model preserves an internal signal that output confidence does not expose. This preservation is determined by architecture and training recipe. We ...
Enabling privacy-preserving AI training on everyday devices
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
Co-Director: Agentic Generative Video Storytelling
arXiv:2604.24842v1 Announce Type: new
Abstract: While diffusion models generate high-fidelity video clips, transforming them into coherent storytelling engines remains challenging. Current agentic pipelines automate this via chained modules but suffer from semantic drift and cascading failures due ...
Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate
arXiv:2604.24881v1 Announce Type: new
Abstract: Multi-agent debate has been shown to improve reasoning in large language models (LLMs). However, it is compute-intensive, requiring generation of long transcripts before answering questions. To address this inefficiency, we develop a framework that di...