The Foreign Policy AI Evaluation Gap
arXiv:2607.02955v1 Announce Type: cross Abstract: We argue that AI systems used in conducting foreign policy tasks - broadly enacting 'statecraft' - should be a priority test case for technical AI gov
Knowledge catalogue
arXiv:2607.02955v1 Announce Type: cross Abstract: We argue that AI systems used in conducting foreign policy tasks - broadly enacting 'statecraft' - should be a priority test case for technical AI gov
Written by: Shebin Mathew Introduction The 'Golden SAML' technique, first described by CyberArk researchers in 2017, and further detailed by Mandiant researchers in 2021, remains one of the most effec
arXiv:2510.01460v4 Announce Type: replace-cross Abstract: Offline-to-online reinforcement learning (RL) has emerged as a practical paradigm that leverages offline datasets for pretraining and online i
arXiv:2607.03928v1 Announce Type: cross Abstract: Accent normalization (AN) seeks to convert non-native (L2) accented speech into standard (L1) speech while preserving speaker identity. The current te
arXiv:2509.01251v3 Announce Type: replace Abstract: This paper presents a joint effort towards the development of a data-driven Social Robot Navigation metric to facilitate benchmarking and policy opt
arXiv:2408.09112v2 Announce Type: replace Abstract: Reinforcement learning policies parametrized by deep neural networks have achieved strong performance for continuous control, yet even small input p
arXiv:2607.04745v1 Announce Type: cross Abstract: Modern thermal visual place recognition (TIR-VPR) frontends based on foundation models achieve remarkable closed-set retrieval but suffer from an over
arXiv:2511.13103v2 Announce Type: replace Abstract: Multi-agent reinforcement learning (MARL) has shown promise for large-scale network control, yet existing methods face two major limitations. First,
arXiv:2607.04751v1 Announce Type: cross Abstract: Big goals are hard to achieve all at once; breaking them into small steps is wiser. We present Trust Region Policy Distillation (TOP-D), which transfo
arXiv:2607.04728v1 Announce Type: cross Abstract: Reinforcement learning (RL) post-training for large language models (LLMs) follows a efficient paradigm of 'rollout then update', which inevitably res
arXiv:2607.04487v1 Announce Type: cross Abstract: Neural autoregressive solvers for the Multi-Attribute Vehicle Routing Problem (MAVRP) reach competitive cost but offer no per-step justification, a pr
arXiv:2607.04425v1 Announce Type: cross Abstract: Recent advances in multimodal foundation models and agent systems have driven GUI agents from single-platform task execution toward cross-platform int
arXiv:2607.04430v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in question answering (QA) systems, yet they may generate hallucinated or misaligned responses wi
arXiv:2607.02569v1 Announce Type: new Abstract: This paper presents a safety-centered empirical evaluation of uncertainty-aware last-layer adaptation for referable diabetic retinopathy screening using
arXiv:2510.25599v2 Announce Type: replace Abstract: Regression tasks, notably in safety-critical domains, require reliable uncertainty quantification, yet the literature remains largely classification
arXiv:2510.16923v3 Announce Type: replace-cross Abstract: Deep learning models deployed in safety critical applications like autonomous driving use simulations to test their robustness against adversa
arXiv:2607.04984v1 Announce Type: new Abstract: Continual Generalized Category Discovery (C-GCD) aims to incrementally identify novel categories from sequential unlabeled data while preserving recogni
arXiv:2607.03589v1 Announce Type: new Abstract: State Space Models (SSMs) have emerged as an alternative to Vision Transformers, yet most vision SSMs inherit directional token scanning from causal seq
arXiv:2509.25533v2 Announce Type: replace-cross Abstract: As Vision Language Models (VLMs) are deployed across safety-critical applications, understanding and controlling their behavioral patterns has
arXiv:2508.08521v2 Announce Type: replace-cross Abstract: Vision Language Models (VLMs) are increasingly being used in a broad range of applications, bringing their security and behavioral control to
arXiv:2607.04517v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are commonly treated as end-to-end action policies conditioned on natural-language task descriptions. In practice, h
arXiv:2607.05180v1 Announce Type: cross Abstract: Adverse driving conditions, such as bad weather, remain a principal barrier to autonomous driving because they degrade two things at once: what the ve
arXiv:2607.05394v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, but it is expensive to repeat on ev
arXiv:2607.05132v1 Announce Type: cross Abstract: As large language models are deployed as autonomous agents that communicate intentions before acting, a critical safety question is whether agents tha
Who is entitled to benefit from major advances in technology—and on what basis? This new paper with @Dr_Atoosa argues that the benefits of technology—including AI—belong to the world in the sense that
arXiv:2607.04879v1 Announce Type: new Abstract: Although multi-source fusion positioning systems have achieved significant progress, accurate and reliable heading estimation remains a critical challen
⚠️ Wow. The Treasury Department reportedly knows that the massive GenAI build out poses systemic risks to the US financial system – and doesn’t want to acknowledge it publicly. People may talk about t
You don't have to choose between 'AI is fake hype' and 'Superintelligence is inevitable, lie down and accept it.' There's a third option: humans deciding, through their governments, that machines smar
A CEO who “vowed to fire anyone who doesn’t use AI in 2025” now says AI could not replace her executive assistant. This says a lot about how many big believers in AI have realized that AI is not as go
Race control displayed a 'Safety Car in this lap' message during the 2026 British Grand Prix at Silverstone, raising expectations for a final lap restart that never materialized, as the message was er
Gary Marcus argues that Geoff Hinton, rather than Dario Amodei, was the originator of making exaggerated claims about neural networks' impact on employment. This appears to be part of a broader discus
GenAI isn’t good enough to replace millions of employees, so there is basically no way the capex is going to earn out. If AI isn't going to wipe out millions of jobs every year, it has to generate pro
ha ha Geoff Hinton in 2016 completely overhyping where deep learning was at then Geoffrey Hinton explains the coyote test for medical AI: radiology is already over the cliff, it just has not looked do
Hugging Face has just been sued for alleged copyright infringement for hosting & distributing copyrighted images, used for AI training. It's been almost a *year* since I flagged to their CEO that they
I cannot believe how good GLM 5.2 is. Several weeks in now and it's mostly all I have been using. It doesn't have the alignment issue of cloud AI, it's much more clear what it can do and can't because
If that happens, where does it leave Anthropic and OpenAI? And Oracle, CoreWeave, Nebius, xAI, etc? Fable 5 probably running locally in about two years. That is the projection in this r/LocalLLaMA cha
This article likely explores the concept of robustness in AI systems and what it means for AI to be 'robust to' various types of failures, adversarial inputs, or distribution shifts. The piece probabl
Gary Marcus reflects on his 2023 prediction that large language models would become commoditized, noting that this outcome is now materializing. The post suggests that LLMs are transitioning from nove
The NRC proposed replacing the longstanding 'as low as reasonably achievable' (ALARA) principle with clearer, more objective requirements focused on compliance with regulatory precautions and establis
Connie Loizos / TechCrunch: Q&A with Agility Robotics CEO Peggy Johnson on why the startup is going public via SPAC, the physical layer as its proprietary advantage, safety, and more — The humanoid ro
this is a bit confused. should I unpack it? tl;dr LLMs are already neurosymbolic in its latent space this is the mechanistic explanation for the intuitively obvious 'feel' that the stochastic parrot c
Trump blockading Cuba into catastrophe should be a much bigger story than it is. Cuba’s electric grid suffered a total collapse Monday as the nation struggles with crumbling infrastructure and a de fa
unconscionable, if these death numbers are even vaguely correct update: https://www.doge-impact.org suggests that the actual number is over 1M; the number below is just USAID related. Money saved: 0 P
Safety policies define what constitutes safe and unsafe AI outputs, guiding data annotation and model development. However, annotation disagreement is pervasive and can stem from multiple sources such
We need a bit more shame. People used to avoid certain self-interested behaviors to avoid shame, private and public. Law and customs assumed this. Now, 38% of Stanford students claim to be disabled. 4
when capex quadruples relative to revenue in five years it just can’t be good. FT: 'It is not yet clear that either [OpenAI or Anthropic] has a sustainable business model. For sure, both have built as
When I talk to people that instantly, deeply, get the risk from superintelligence, they often share a trait sometimes called the 'security mindset' I think this post by @l_mc_nally is a nice brisk tou
“AI is now costing some companies more than the people it was supposed to replace.” I think AI is in a messy middle phase where usage looks productive, but output remains unclear. Forbes published thi
Chemical accidents involving releases of dangerous chemicals rose 57 percent between 2021 and 2025, from 83 to 131 incidents , with injuries or deaths rising from 60 to 89 over the same period . The E
Josh Zoffer / Financial Times: Data centers offer US a chance to get ahead in the next key technologies and to build domestic supply chains based on demand rather than subsidies and tariffs — America
Gary Marcus argues that Elon Musk's public opposition to democracy reveals important truths about how extreme wealth concentrates power and can lead wealthy individuals to reject democratic principles
Junk food is an interesting failure of capitalism. We exchanged human beauty for cheetos. Bryan Caplan types are forced to think this trade a worthy one. None born before the obesity crisis would have
Pop quiz: Can you explain the contrast here, between AI’s coding ability and their less compelling research ability? AI's coding ability has become amazing. But there research ability remains really p
Grace Kay / The Information: Tesla rolls out its Robotaxi service without a safety monitor in Miami, its fifth city, as it aims to expand to a dozen US states by the end of 2026 — Tesla said it rolled
This post appears to reference an unusual weather event (lightning) as symbolic proof that the United States retains geopolitical dominance or divine favor, likely in the context of discussions about
Connor Leahy posted about reaching 250 of something, likely a milestone related to followers, users, or members based on the celebratory phrasing 'To 250 more!' The post appears to be a brief celebrat
true. a lot of people here just don’t have the historical context. You know what's funny but not funny: If the housing market of 2006 was the AI market of 2026, Charles R Morris would be getting calle
DOGE deletes itself on July 4th. It will be remembered as a hugely destructive failure. Musk promised 2 trillion in savings. What we got, by DOGE’s own unverified math, was 215 billion. Even that numb
Connor Leahy shared an anecdote about creating a text-to-speech (TTS) version of Zeta Lyrae's work 'No-One Escapes the Permanent Underclass' when the AI encountered a notable glitch partway through th
If this doesn’t chill you, I don’t know what will. 😱 “A president with the authority that Trump is now asserting could in theory put the world’s most powerful AI to repressive ends while at the same t