arXiv:2608.23045v1 Announce Type: new Abstract: Web search agents powered by Large Language Models (LLMs) show strong promise, but deep research tasks…
Author: script
Meta AI Introduces MetaRoCE: A Clean-Sheet RDMA Transport Built for AI-Scale Ethernet
Training and serving frontier models is now a networking problem as much as a compute problem. Collective operations like all-reduce and all-to-all…
From Generation to Simulation: How Far Are World Models from Being True Simulators?
arXiv:2608.23070v1 Announce Type: new Abstract: With the rapid progress of diffusion models and large-scale video generation, generative world models are…
Linkdaze’s smart calendar is built to run a household, not just track a schedule
Linkdaze’s smart digital calendar stands out for not putting its features behind a paywall, including an AI meal planner tool.
LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Applications
arXiv:2608.23058v1 Announce Type: new Abstract: Large language models (LLMs) now support forecasting systems that combine language-based reasoning with…
Scientific Data Analysis with LabPlot in Python: Signal Processing, Spectral Peak Fitting, Visualization, and Batch Automation
In this tutorial, we explore a LabPlot-inspired scientific data analysis workflow in Python while preserving the structure and terminology of LabPlot’s…
AgentWeave: Routing Before Reasoning for Efficient Function Calling in Tool-Rich Language Models
arXiv:2608.23078v1 Announce Type: new Abstract: Large language models increasingly operate over large collections of tools, functions, APIs, and…
Harvey Introduces Harvey Tenet: A Kimi K3 Base Post-Trained with Fireworks for Long-Horizon Legal Agent Work
Harvey’s first post-trained model nearly doubles LAB task completion, but only one benchmark number survives independent verification today
The Data & AI Leadership Questions That Will Define the Next Stage of Enterprise AI
If you’re responsible for turning data and AI strategy into enterprise reality, this is a conversation worth being part of.
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
arXiv:2608.23041v1 Announce Type: new Abstract: LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended…