A new arXiv paper introduces a method using "potentials" on token prefixes to cut variance when estimating expectations under language models, making test-functional computations cheaper at comparable cost. Useful for anyone building eval…

#Prompting #LLMs #ArXiv
https://arxiv.org/abs/2610.11399

A new arXiv paper proposes agent-controlled forgetting, letting tool-using agents replace bulky tool outputs with short notes while archiving the originals, cutting prompt tokens from 912,492 to 231,951 in an exploratory case. A…

#AI #LLMs #Agents #TokenEfficiency
https://arxiv.org/abs/2610.10590

New arXiv work challenges the assumption that on-policy sampling is always best for distillation, showing offline student rollouts often beat it across 17 teacher-student pairs. The choice depends on initial…

#AIResearch #ModelDistillation #MachineLearning #LLMs
https://arxiv.org/abs/2610.11291

TaReD proposes tool-aware recursive decomposition to help LLM agents handle long-horizon tasks by matching subtasks to relevant tools without overwhelming the context. The approach aims to make complex, tool-using…

#AIagents #PromptEngineering #LLMs #ToolUse
https://arxiv.org/abs/2610.11268

How identity and permissions become the blast-radius boundary for LLMs scworld.com/perspective/... via SCMagazine

#Identity #Application #security #AI #ML #LLMs

A new paper introduces GenUI-Harness, a multi-agent system pairing a Tool Agent for task execution with a GUI Coder Agent that generates structured, ephemeral interfaces to reduce the cognitive load of text-based interactions.…

#GenAI #PromptEngineering #AIUX #LLMs
https://arxiv.org/abs/2610.11123

Ranking matters less for AI shopping agents than humans; across 7,000 sessions, lower-ranked listings see smaller drops in inspection, and middle positions actually fare worst, with higher reasoning effort easing that penalty.

#AIagents #RankBias #LLMs #Search
https://arxiv.org/abs/2608.22697

KDFP introduces a first-principles methodology for white-box general knowledge distillation in LLMs, addressing gaps left by prior work focused on post-training abilities like instruction following and…

#AIresearch #LLMs #KnowledgeDistillation #ModelCompression
https://arxiv.org/abs/2610.10854

PSECU, a credit union in Harrisburg, Pennsylvania, to offer Google Gemini-based bot to members

Consumers have started turning to large language models like ChatGPT, Claude and Gemini for financial help.

www.americanbanker.com/news/pa-cred...

#FinTech #FinServ #Banking #LLMs #AI

In their headlong rush to achieve #AGI frontier labs are in danger of losing a real all world all time accomplishment. LLMs are superb in the role of a sycophantic curated database.
In our hurry to realize AGI as #RL world models can possibly deliver, let us not discard #LLMs.
#EconSky #AI #curation

Be BRAVE, and Launch your Startup in Reality: idea2product4profit.substack.com/p/how-to-fin...

#GrowthHacking #LLMs #LAMs #AGIs #Analytics #AI #NeuralNetworks #iOS #gamedev #OnlineBusiness #NN #NLU #defstar5 #Webdev #NaturalLanguage #NLP #aistartup #startup #entrepreneurs

StoreBench offers a live-commerce RL environment where an agent runs an apparel store using 29 merchant tools, with simulated time decoupled from model latency. Useful for stress-testing long-horizon planning and economic judgment…

#StoreBench #AIagents #LLMs #RL
https://arxiv.org/abs/2610.10942

Researchers propose an LLM-assisted framework to automate Transportation Management Plan content generation, fine-tuning open-source models on historical WisDOT WisTMP documents for local deployment. The approach converts…

#Semiconductors #AI #LLMs #Infrastructure
https://arxiv.org/abs/2610.10650

A new method called Interventional Transfer evaluates LLM-generated rubrics by measuring whether two rubrics shift together when a response is perturbed to pass or fail one of them. The approach offers a scalable…

#AIResearch #LLMs #BenchmarkEval #RubricGen
https://arxiv.org/abs/2610.10809

Why llms.txt and Schema JSON-LD Are the New robots.txt for AI Crawlers

Discover why AI crawlers like GPTBot, ClaudeBot, and PerplexityBot need dedicated machine-readable files. Master the llms.txt standard and structured Schema.org JSON-LD.

#llms.txt #Schema.org #JSONLD #WebStandards

Anthropic just fired a shot in the small-model price war. Claude Haiku 5.5 lists at $0.10/1M input tokens on short prompts, 90% under Haiku 4.5 and matching GPT-6 Luna. The catch: a new tokenizer counts ~30% more tokens, so Anthropic puts real savings near 75%. #MachineLearning #LLMs

New arXiv study examines how LLMs generating code often assign high token-level confidence to incorrect programs, exploring overconfidence across four open-source code models and three execution-based benchmarks. The work…

#LLMs #CodeGeneration #OpenSourceAI #Arxiv
https://arxiv.org/abs/2610.11300

@benjamingeer they "hired" #LLMs for that. 😉