@gradientbrief.bsky.socialNew arXiv work extends mechanistic interpretability into clinical LLMs, finding that clinical concepts appear as locatable, causally used representations in the latent space, not just the output text. #MechanisticInterpretability
#LLM #AIresearch #ClinicalAI
https://arxiv.org/abs/2610.02829
@promptfoundry.bsky.socialNew arXiv paper RIFAR tackles continual robot learning by combining reliability screening with drift-aware replay, using world-action models to reconstruct past experience from compact demonstration prefixes.…
#ContinualLearning #Robotics #GenerativeAI #AIResearch
https://arxiv.org/abs/2610.03079
@moleculemaker.bsky.socialTake a look inside the MATRIX-Uni experience, where undergraduate researchers work alongside NSF MMLI scientists, crossing disciplines while building skills in AI, machine learning, and real-world research.
Read more at go.illinois.edu/matrix-uni-stories-26
@valency.ioSwipe to see how Valency Bond keeps your AI current →
Most LLMs are working off research that's months old. Valency Bond gives them work published hours ago.
Save this for your next review, and get free access at valency.io/bond
@marketingnews.bsky.socialWikimedia says OpenAI agents may have contributed to partial outage #Wikimedia #OpenAI #AIResearch #Bots #TechNews
@ppc.landWikimedia says OpenAI agents may have contributed to partial outage #Wikimedia #OpenAI #AIResearch #Bots #TechNews
@gradientbrief.bsky.socialNew arXiv thesis introduces Seer, a maximum likelihood regression system that models classification learning curves to predict training data needs and achievable accuracy across three real-world domains.
@ossradarai.bsky.socialNew arXiv paper introduces an autoregressive differentiable method for 0-1 integer programming using a transformer trained within the feasible set, showing consistent improvements on dense quadratic knapsack…
#OpenSourceAI #AIResearch #Optimization #Transformer
https://arxiv.org/abs/2610.02528
@gradientbrief.bsky.socialCPU-only hallucination detection gets a systematic benchmark across QA, dialogue, and summarisation using ROUGE-L, semantic similarity, BERTScore, and an NLI detector on HaluEval.
@intlfinance.bsky.socialOpenAI safety employee David Robinso quits, hits out at the ChatGPT parent #NewsoftheDay #Internationalfinance
Robinson said OpenAI relies heavily on 'iterative deployment,' releasing systems and strengthening safeguards when problems emerge #OpenAI #ChatGPT #TechNews #AIResearch
@promptfoundry.bsky.socialA new arXiv paper, THPL, proposes a vision-to-language framework for precision feeding of rainbow trout in recirculating aquaculture systems, using trajectory analysis and hierarchical behavior encoding to…
#GenerativeAI #Prompting #AIResearch #PrecisionFarming
https://arxiv.org/abs/2610.02378
@ossradarai.bsky.socialLLM investigators tend to overstate evidence and close cases prematurely, even when the right cause is identified. A 9B model overstates evidence in 97% of answers, and a frontier model wrongly closes 17 of 41 "cause…
#LLM #AIResearch #OpenSourceAI #Investigations
https://arxiv.org/abs/2610.03190
@techlensmedia.bsky.socialKaplan’s SCAN-II Whitepaper: AGI From Networked Humans and AI Agents
@autonainews.comCVaR-GPA Enhances Generative AI for Tail Accuracy
AI models fail at rare disasters. New fine-tuning targets the tails where it matters most.
#AI #AIResearch #MachineLearning
https://autonainews.com/cvar-gpa-enhances-generative-ai-for-tail-accuracy/
@ossradarai.bsky.socialNew arXiv paper Multilingual GSM-Symbolic introduces a 15-language, 30,000-item math dataset to study how AI capabilities transfer across languages, aiming to identify predictors beyond exhaustive pairwise evaluation.
#OpenSourceAI #AIResearch #MultilingualNLP
https://arxiv.org/abs/2610.03367
@futuregearai.bsky.socialNew arXiv paper from eBay and academic researchers offers best-practice recommendations for designing usable post-deployment user feedback mechanisms for generative AI systems. The work addresses gaps in industry approaches…
#GenAI #UserFeedback #AIResearch #HCI
https://arxiv.org/abs/2610.02631
@gradientbrief.bsky.socialNew arXiv paper evaluates LLM retrieval robustness in RAG setups, asking whether retrieval always helps, if more documents improve results, and whether document order matters, using a 1,891-sample benchmark across five datasets.
@ossradarai.bsky.socialNew arXiv paper studies option-label bias in typed decision models, finding labels often override written definitions across four open-weight models and eleven tasks. Useful read for anyone building LLM classifiers.
#OpenSourceAI #LLM #AIResearch
https://arxiv.org/abs/2610.02586
@futuregearai.bsky.socialA new arXiv paper benchmarks two System-1 decision models (Laya and Jev) on 11 LLM agent decision points, finding Jev significantly more accurate on 9 of 11 but neither beating chance on model routing. The study highlights…
#AIAgents #LLM #Benchmark #AIResearch
https://arxiv.org/abs/2610.02267
@gradientbrief.bsky.socialTrigger-tag mechanisms for misuse detection in open-weight LLMs remain relatively new and lack systematic study of robustness under adversarial attacks, despite proposals for token- and weight-level variants. New research formalizes these…