Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs.
Nonadaptive Learning in Robust Nonlinear Output Regulation
arXiv:2608.17262v1 Announce Type: cross Abstract: This paper considers robust nonadaptive regulation for general nonlinear systems in an output-feedback…
AI News Brief Hourly Summary 2026-08-19 17h : 21 posts
21 posts published in the last hour 14:34Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL 14:34Why the Next Generation of Marketing Leaders Will Be Business Integrators 14:34Adaptive surrogate modeling for high-dimensional spatio-temporal output 14:33Nous Research Ships Bot Mode…
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL
arXiv:2608.17253v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a powerful approach for improving reasoning in language and…
Why the Next Generation of Marketing Leaders Will Be Business Integrators
Nobody announced it. There was no memo. No title change. No LinkedIn post from HR. But the role has changed. In many organizations, marketing now sits at…
Adaptive surrogate modeling for high-dimensional spatio-temporal output
arXiv:2608.17250v1 Announce Type: cross Abstract: This paper develops an adaptive surrogate modeling method for problems with very high-dimensional…
Nous Research Ships Bot Mode for Hermes Agent, Turning Agent Profiles Into a Roster of Named Bots
Nous Research has shipped Bot Mode for Hermes Agent, its MIT-licensed open source agent. Bot Mode replaces the single-agent session list with a roster of…
Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data
arXiv:2608.17244v1 Announce Type: cross Abstract: This paper addresses the limitations of Gaussian distribution assumptions in statistical sparse…
Calendly throws its hat into meeting note-taker circus
Calendly is also releasing a meeting scheduling assistant called Callie.
COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models
arXiv:2608.17234v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) are increasingly used to interact with screenshots, scanned…
How AI-Powered Outreach Is Creating a Global Level Playing Field for Tomorrow’s Enterprises
The rapid rise of AI and its disruptive potential has raised numerous questions about its long-term impacts. Yet what most tend to miss, is that rather…
Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Vision-Language Refinement
arXiv:2608.17237v1 Announce Type: cross Abstract: Converting structural framing plans into editable finite-element model drafts remains labor-intensive…
ByteDance Seed and Tsinghua AIR Introduces CUDA Agent: A Large-Scale Agentic RL System for CUDA Kernel Generation
ByteDance Seed and Tsinghua AIR have released CUDA Agent, an agentic reinforcement learning system that trains a large language model to write GPU kernels…
GLM-5.3 tops the open-model rankings and undercuts rivals on price, but its release is delayed
GLM-5.3, the AI model from Chinese startup Z.ai, scores 60 points on the Artificial Analysis Intelligence Index. That ties it with Kimi K3 for the top…
Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer’s Disease Detection
arXiv:2608.17231v1 Announce Type: cross Abstract: Low-cost, scalable screening for dementia remains an open problem. Imaging-based diagnosis is costly and…
LFM2.5 Q4\_0 Checkpoints from Quantization-Aware Distillation
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: LFM2.5 Q4\_0 Checkpoints from Quantization-Aware Distillation
PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance
arXiv:2608.17220v1 Announce Type: cross Abstract: Autonomous AI agents are emerging as interfaces for decentralized finance (DeFi) actions such as swaps,…
How to Answer AI System Design Interview Questions
The interview moved from Design YouTube to Design ChatGPT. Here’s the framework.