arXiv:2610.14863v1 Announce Type: new Abstract: Data-driven weather forecasting models are commonly trained on ERA5, yet operational deployment must use…
Anthropic’s Q3 revenue hits $16.8B but growth slows ahead of planned November IPO
Anthropic hit $16.8 billion in third-quarter revenue, a 45 percent gain that still falls far short of Q2’s 140 percent surge. With a November IPO…
Beyond Outcome Feedback: Trajectory-Quality-Guided Experience-based Learning
arXiv:2610.14877v1 Announce Type: new Abstract: Experience-based learning enables large language model (LLM) agents to improve over time by reusing…
Why Better Data Alone Isn’t Enough for AI Agents
For years, one of the most common pieces of advice for enterprise AI has been to get the data right first. The logic is straightforward: if a system is…
EvoCowork: A Benchmark for Real-World Office Tasks
arXiv:2610.14828v1 Announce Type: new Abstract: Office workflows are a demanding testbed for self-improving agents because their deliverables must be…
AI News Brief Roundup: 2026-10-15 Morning
AI News Brief: Morning roundup, 2026-10-15 Summary This morning’s updates center heavily on pushing autonomous AI agents beyond simple text generation toward complex, long-horizon decision-making across real-world environments like databases, enterprise software, and robotics. Researchers and developers are concurrently addressing…
AI News Brief Hourly Summary 2026-10-15 12h : 14 posts
14 posts published in the last hour 09:37ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox 09:37GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions 09:37Counterfactual Regret for Reflective Agents with Lean-Verified Guarantees 09:37Open models have real benefits. Do…
ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox
arXiv:2610.14807v1 Announce Type: new Abstract: Evaluating autonomous agents requires examining whether they can translate goals into coherent action…
GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions
arXiv:2610.14792v1 Announce Type: new Abstract: Online, same-day delivery requires operators to constantly update their routes, and the routing cost for…
Counterfactual Regret for Reflective Agents with Lean-Verified Guarantees
arXiv:2610.14790v1 Announce Type: new Abstract: Reflective language agents reuse feedback and memory to adapt across tasks without updating model weights.…
Open models have real benefits. Do they outweigh the risks?
MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next. You…
A Reference Architecture for Integrating Agentic AI into Enterprise Software: Responsibilities, Interactions, and Variability
arXiv:2610.14818v1 Announce Type: new Abstract: Agentic AI moves generative AI applications toward systems that coordinate reasoning, enterprise context,…
AI labs are buying data from dead startups to train their models
When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a…
CESNET-TimeSeries26: A Multi-Year Network Traffic Time Series Dataset for Annual Seasonality, Concept Drift, and Long-Term Anomaly Detection
arXiv:2610.14799v1 Announce Type: new Abstract: Forecast-based models are fundamental to network traffic management and anomaly detection. However, it is…
CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation
arXiv:2610.14763v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) can reproduce sensitive, copyrighted, or unsafe information from…
ProgAgent: Learning Tool Orchestration through Programmatic Training
arXiv:2610.14774v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly expected to orchestrate diverse tools over long-horizon…
GateSight: Recurrent Memory Anticipates Attention Memory for Query-Agnostic KV Eviction in Hybrid LLMs
arXiv:2610.14754v1 Announce Type: new Abstract: Hybrid language models interleave Gated DeltaNet (GDN) layers, whose recurrent memory has a fixed size,…
[AINews] Meta Muse Wonder & Wonder Full: MSL’s Claude 5.5-tier Frontier Model
MSL’s emergence as a frontier lab is finally complete.