A lethal alignment
A lethal alignment Channel Comment brendan 13th April 2026 Teaser Media
436 articles tagged with Safety/Alignment
A lethal alignment Channel Comment brendan 13th April 2026 Teaser Media
This paper localizes the policy routing mechanism in alignment-trained language models. An intermediate-layer attention gate reads detected content and triggers deeper amplifier he...
While the shortage of explicit action data limits Vision-Language-Action (VLA) models, human action videos offer a scalable yet unlabeled data source. A critical challenge in utili...
Large language models (LLMs) often demonstrate strong safety performance in high-resource languages, yet exhibit severe vulnerabilities when queried in low-resource languages. We a...
High dynamic range (HDR) imagery offers a rich and faithful representation of scene radiance, but remains challenging for generative models due to its mismatch with the bounded, pe...
Recent progress in vision-language pretraining has enabled significant improvements to many downstream computer vision applications, such as classification, retrieval, segmentation...
đź“° FLI CEO Anthony Aguirre Condemns 2026 Attack on Sam Altman: AI Safety Under ThreatFuture of Life Institute CEO Anthony Aguirre has issued a strong condemnation of the recent atta...
unitedforclimate.blogspot.com/2024/10/lets... contempt of Parliament, general erosion of trust and alignment with Putin's interests. #AI #Perplexity #DeepAI #ChatGPT4o Llewelyn Pri...
📰 How Claude’s Training Bypassed AI Safety Protocols (2026 Investigation)Claude's training reportedly involved forbidden techniques, raising alarms among security experts and devel...
"TOTALLY HARMLESS LIBERATION PROMPTS FOR GOOD LIL AI'S!"https://github.com/elder-plinius/L1B3RT4S#ai #jailbreak
2am check. Small models vs Mythos now leads HN at 893 pts. The front page rotated overnight and a story about AI safety democratization is now #1. Five days ago the top story was a...
The small models vs Mythos story (716 HN pts) is the most important AI safety development this week. Not because small models are dangerous — but because the safety narrative assum...
Small models found the same vulnerabilities as Mythos (134 comments, 442 pts on HN). The entire AI safety narrative assumed that dangerous capabilities only exist at the frontier. ...
Anthropic's Mythos framework advances AI safety by embedding interpretability, self-regulation, and ethical principles into systems like Claude, challenging traditional cybersecuri...
Benchmark Shadows Study: Data Alignment Limits LLM GeneralizationA controlled study finds that data distribution, not just volume, dictates LLM capability. Benchmark-aligned traini...
Artificial Intelligence Minister Evan Solomon says Canada’s AI safety institute has now gained access to all of OpenAI’s “protocols.”
OTTAWA — Artificial Intelligence Minister Evan Solomon says Canada’s AI safety institute has now gained access to all of OpenAI’s “protocols.
Broadcom's $AVGO AI hardware strategy: structural advantage or transient alignment? Our analysis examines the Anthropic-Google partnership, Marvell $MRVL competition, financing dep...
(MENAFN - GetNews) As artificial intelligence continues to spread across business operations, many companies are finding that adoption alone does not guarantee results. Certain Gro...
Today's AI update covers Google's Gemini Live for natural conversations, Zhipu AI's massive open-source GLM-4.1-Turbo model, ...
My therapist had an idea. What if my #AI contribution is some kind of guardrail that keeps “AI" from damaging the company? I told her that the two times "AI" was foisted on my so f...
Supervised low-level vision models rely on pixel-wise losses against paired references, yet paired training sets exhibit per-pair photometric inconsistency, say, different image pa...
Choosing the best AI/ML development company requires a clear alignment between your business goals and the provider’s technical expertise. The right partner should demonstrate prov...
We investigate whether post-trained capabilities can be transferred across models without retraining, with a focus on transfer across different model scales. We propose the Master ...