cyberintel.kalymoon.com · 4913 articles · updated every 4 hours · grows forever
OpenAI released ChatGPT Images 2.0 today , their latest image generation model. On the livestream Sam Altman said that the leap from gpt-image-1 to gpt-image-2 was equivalent to jumping from GPT-3 to …
ControlAI's mission is to avert the extinction risks posed by superintelligent AI. We believe that in order to do this, we must secure an international prohibition on its development. We're working to…
As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access sensitive systems and …
AI agents are already too human. Not in the romantic sense, not because they love or fear or dream, but in the more banal and frustrating one. The current implementations keep showing their human orig…
Three new agentic safety and policy features integrated into Ads Advisor will help protect and streamline your Google Ads account.
scosman/pelicans_riding_bicycles I firmly approve of Steve Cosman's efforts to pollute the training set of pelicans riding bicycles. (To be fair, most of the examples I've published count as poisoning…
arXiv:2604.16922v1 Announce Type: new Abstract: Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analyt…
arXiv:2604.16913v1 Announce Type: new Abstract: Decentralized Autonomous Organizations (DAOs) are inclined explore Small Language Models (SLMs) as edge-native constitutional firewalls to vet proposals…
arXiv:2604.16911v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly extended at runtime via skill packages, structured natural-language instruction bundles loaded from a…
arXiv:2604.16902v1 Announce Type: new Abstract: Native Omni-modal Large Language Models (OLLMs) have shifted from pipeline architectures to unified representation spaces. However, this native integrat…
arXiv:2604.16890v1 Announce Type: new Abstract: Large reasoning models that use long chain-of-thought excel at problem-solving yet waste compute on redundant checks. Curbing this overthinking is hard:…
arXiv:2604.16871v1 Announce Type: new Abstract: Neuro-symbolic Reinforcement Learning (NeSy-RL) combines symbolic reasoning with gradient-based optimization to achieve interpretable and generalizable …
arXiv:2604.16859v1 Announce Type: new Abstract: Accurate traffic forecasting is crucial for intelligent transportation systems, supporting effective traffic management, congestion reduction, and infor…
arXiv:2604.16835v1 Announce Type: new Abstract: Shanghai Composite Index prediction has become a hot issue for many investors and academic researchers. Deep learning models are widely applied in multi…
arXiv:2604.16813v1 Announce Type: new Abstract: Agentic AI systems are rapidly advancing toward real-world applications, yet their readiness in complex and personalized environments remains insufficie…
arXiv:2604.16812v1 Announce Type: new Abstract: When model developers or users fine-tune an LLM, this can induce behaviors that are unexpected, deliberately harmful, or hard to detect. It would be far…
arXiv:2604.16776v1 Announce Type: new Abstract: Modeling single-cell gene expression across diverse biological and technical conditions is crucial for characterizing cellular states and simulating uns…
arXiv:2604.16755v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly integrated into daily life, in roles ranging from high-stakes decision support to companionship, unders…
arXiv:2604.16753v1 Announce Type: new Abstract: As large language models (LLMs) transition into autonomous agents integrated with extensive tool ecosystems, traditional routing heuristics increasingly…
arXiv:2604.16752v1 Announce Type: new Abstract: Current agent evaluations largely reward execution on fully specified tasks, while recent work studies clarification [11, 22, 2], capability awareness […
arXiv:2604.16745v1 Announce Type: new Abstract: Training-free token reduction methods for Vision Transformers (ToMe, ToFu, PiToMe, and MCTF) employ different scoring mechanisms, yet they share a close…
arXiv:2604.16742v1 Announce Type: new Abstract: Scientists have long sought to accurately predict outcomes of real-world events before they happen. Can AI systems do so more reliably? We study this qu…