Swiss banking giant UBS is making AI skills a required qualification from 2027 for graduates and interns in Global Banking and Markets, with applicants…
Category: AI
Does Your Agent’s Memory Survive a Model Upgrade? A Controlled Study of Memory Portability
arXiv:2609.05339v1 Announce Type: new Abstract: Model upgrades are routine; memory migrations are not. An agent can keep the same memory store and still…
OpenAI reports AI “research interns” and warns about its own pace at the same time
OpenAI reports that AI agents in its own research already handle 3.1 workdays for every human workday, and it says it has reached its goal of an…
Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness
arXiv:2609.05314v1 Announce Type: new Abstract: Building automation systems generate rich sensor data yet remain insight-poor because heterogeneous point…
How AI wiped out an entire industry in Nairobi
In Kenya, ChatGPT wiped out an entire business model: writing academic papers for foreign students. The article How AI wiped out an entire industry in…
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation
arXiv:2609.05295v1 Announce Type: new Abstract: On-policy distillation (OPD) provides dense, per-token supervision for language model post-training, but…
GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity
arXiv:2609.05284v1 Announce Type: new Abstract: Recent years have witnessed great advances in the reasoning ability of Large Language Models (LLMs).…
Beyond Aggregate Scores: Behavioral Correctness Assumptions for Assessing Reference-Based Automatic Evaluation Methods
arXiv:2609.05289v1 Announce Type: new Abstract: Automated reference-based evaluation methods play a critical role in assessing natural language generation…
Testing Interchangeability in LLM Agent Teams
arXiv:2609.05279v1 Announce Type: new Abstract: Production multi-agent systems replace agents constantly, on the assumption that an agent filling a role…
Don’t Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
arXiv:2609.05275v1 Announce Type: new Abstract: Layer dropout (a.k.a. stochastic depth) has been shown to enable faster training, higher accuracy, and…