cyberintel.kalymoon.com · 2889 articles · updated every 4 hours · grows forever
We Rewrote JSONata with AI in a Day, Saved $500K/Year Bit of a hyperbolic framing but this looks like another case study of vibe porting , this time spinning up a new custom Go implementation of the J…
Authors: Daria Ivanova, Riya Tyagi, Arthur Conmy, Neel Nanda Daria and Riya are co-first authors. This work was done during Neel Nanda’s MATS 9.0. Claude helped write code and suggest edits for this p…
My minute-by-minute response to the LiteLLM malware attack Callum McMahon reported the LiteLLM malware attack to PyPI. Here he shares the Claude transcripts he used to help him confirm the vulnerabili…
Google Translate’s Live translate with headphones is officially arriving on iOS! And we're expanding the capability for both iOS and Android users to even more countries…
In the latest episode of our Dialogues on Technology and Society series, LL COOL J sits down with James Manyika.
Singapore Budget 2026: Cybersecurity will be core to AI resilience CRN Asia
Quantization from the ground up Sam Rose continues his streak of publishing spectacularly informative interactive essays, this time explaining how quantization of Large Language Models works (which he…
We’re expanding Search Live globally, to all languages and locations where AI Mode is available.
Gemini 3.1 Flash Live is now available across Google products.
BITS Pilani launches two courses on AI, Machine Learning and Cybersecurity for professionals Hindustan Times
Release: datasette-llm 0.1a2 actor is now available to the llm_prompt_context plugin hook. #2 Tags: llm , datasette
arXiv:2603.23507v1 Announce Type: cross Abstract: While Masked Diffusion Language Models (MDLMs) relying on token masking and unmasking have shown promise in language modeling, their computational eff…
arXiv:2603.23506v1 Announce Type: cross Abstract: The rapid proliferation of large language models (LLMs) in healthcare creates an urgent need for scalable and psychometrically sound evaluation method…
arXiv:2509.21545v2 Announce Type: cross Abstract: The possibility of LLM self-awareness and even sentience is gaining increasing public attention and has major safety and policy implications, but the …
arXiv:2504.09604v3 Announce Type: cross Abstract: Many-shot jailbreaking (MSJ) is an adversarial technique that exploits the long context windows of modern LLMs to circumvent model safety training by …
arXiv:2410.02064v3 Announce Type: cross Abstract: It has been reported that LLMs can recognize their own writing. As this has potential implications for AI safety, yet is relatively understudied, we i…
arXiv:2603.24582v1 Announce Type: new Abstract: Agentic artificial intelligence (AI) in organizations is a sequential decision problem constrained by reliability and oversight cost. When deterministic…
arXiv:2603.24572v1 Announce Type: new Abstract: In this article, we focus on search algorithms for two-player perfect information games, whose objective is to determine the best possible strategy, and…
arXiv:2603.24527v1 Announce Type: new Abstract: We introduce incongruent normal form (INF), a structural representation for self-referential semantic sentences. An INF replaces a self-referential sent…
arXiv:2603.24481v1 Announce Type: new Abstract: Miscalibrated confidence scores are a practical obstacle to deploying AI in clinical settings. A model that is always overconfident offers no useful sig…
arXiv:2603.24402v1 Announce Type: new Abstract: Existing automated research systems operate as stateless, linear pipelines, generating outputs without maintaining a persistent understanding of the res…
arXiv:2603.24084v1 Announce Type: new Abstract: Empirical evaluation in multi-objective search (MOS) has historically suffered from fragmentation, relying on heterogeneous problem instances with incom…
arXiv:2603.24065v1 Announce Type: new Abstract: Current prompting paradigms for large language models (LLMs), including Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT), follow linear or tree-structu…
arXiv:2603.24018v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown remarkable general capabilities, yet embodied agents built on them fail at complex tasks, often skipping critic…