436 articles tagged with Safety/Alignment
🤖 I’ve come up with a new thought experiment to approach ASI, and it challenges the very notions of alignment and containmentI’ve written an essay exploring what I’m calling the Su...
ICYMI: Judge blocks Pentagon from blacklisting Anthropic over AI safety stance: A federal judge today blocked the Trump administration from designating Anthropic a supply chain ris...
Interesting dichotomy in AI safety today: MIT researchers are developing systems that admit uncertainty (“Humble AI”) to prevent hallucinations. Conversely, new studies show agents...
The Register: Telling an AI model that it’s an expert programmer makes it a worse programmer . “For alignment-dependent tasks, like writing, role-playing, and safety, personas do i...
đź“° Anthropic vs OpenAI: AI Ethics Battle for the Future of AI Safety (2026)Anthropic has emerged as a direct counterpoint to OpenAI, framing its mission as an ethical antidote to wh...
📰 Anthropic’s 2026 IPO at Risk: Supply Chain Battles and AI Safety Dilemmas Behind Claude ModelAnthropic is grappling with supply chain restrictions and internal safety protocols a...
Judge blocks Pentagon from blacklisting Anthropic over AI safety stance: A federal judge today blocked the Trump administration from designating Anthropic a supply chain risk, ruli...
Nia and Kai break down the latest AI news! 3 stories in today's episode. ⏱ Timestamps 0:00 China Boycotts NeurIPS Over US ...
#Retail doesn’t just run on data. It depends on alignment across pricing, inventory, and product systems. That alignment is harder than it looks.A few thoughts after a conversation...
Reference-to-video (R2V) generation is a controllable video synthesis paradigm that constrains the generation process using both text prompts and reference images, enabling applica...
Human driving behavior is inherently personal, which is shaped by long-term habits and influenced by short-term intentions. Individuals differ in how they accelerate, brake, merge,...
Vision-language models (VLMs) like CLIP are trained with the objective of aligning text and image pairs. To improve CLIP-based few-shot image classification, recent works have obse...
#ai safety efforts seem pretty useless as long as we cant inspect and interpret what happens during inferenceIt may seem like an #llm recognizing it is being tested and responds di...
đź“° New Bernie Sanders AI Safety Bill Would Halt Data Center ConstructionThe US senator said on Tuesday that a moratorium would give lawmakers time to "ensure that AI is safe." Alexa...
We study word-level semantic alignment across four historical stages of Ancient Egyptian. These stages differ in script and orthography, and parallel data are scarce. We jointly tr...
Existing real-world super-resolution (RSR) methods based on generative priors have achieved remarkable progress in producing high-quality and globally consistent reconstructions. H...
Understanding animal species from multimodal data poses an emerging challenge at the intersection of computer vision and ecology. While recent biological models, such as BioCLIP, h...
A U.S. judge said on Tuesday that the Pentagon's blacklisting of Anthropic looked like an effort to punish the artificial intelligence lab for going public with its concerns about ...
Video-based world models offer a powerful paradigm for embodied simulation and planning, yet state-of-the-art models often generate physically implausible manipulations - such as o...
While Vision-Language Models (VLMs) have achieved remarkable performance, their Euclidean embeddings remain limited in capturing hierarchical relationships such as part-to-whole or...
Improving embodied reasoning in multimodal-large-language models (MLLMs) is essential for building vision-language-action models (VLAs) on top of them to readily translate multimod...
High-performance C++ execution engine for LLM red-teaming and prompt engineering. Deploy dynamic jailbreak payloads, bypass alignment guardrails, and utilize free autonomous uncens...
Culture shapes reasoning, values, prioritization, and strategic decision-making, yet large language models (LLMs) often exhibit cultural biases that misalign with target population...
Our method reconstructs 3D worlds from video diffusion models using non-rigid alignment to resolve inherent 3D inconsistencies in the generated sequences.