📊 You are visitor #51538 to this AWESOME site! 📊
Last updated: 2026-05-26 | Server uptime: 99.9% ⚡
📂 Filter by Category
Loading filters...
🔬 RESEARCH
"This paper studies the next major bottleneck in agentic AI as system scaling, not only model scaling: the design of auditable, persistent, modular, and verifiable architectures around foundation models. We refer to this shift as scaling the harness: treating the structured execution layer around a f..."
🔬 RESEARCH
via Arxiv
👤 Xu Ouyang, Deyi Liu, Yuhang Cai et al.
📅 2026-05-22
⚡ Score: 7.9
"Existing scaling laws for Large Language Models (LLMs), predominantly monotonic power laws, fail to explain emerging non-monotonic phenomena such as catastrophic overtraining and quantization-induced degradation, where performance deteriorates despite increased compute.
We propose the Shannon Scal..."
🔬 RESEARCH
via Arxiv
👤 James Lucassen, Adam Kaufman
📅 2026-05-25
⚡ Score: 7.7
"AI coding scaffolds like Claude Code and Codex use \textit{retrying}: blocking actions flagged as risky and continuing the trajectory. We study retrying from an AI control perspective, which treats the model as potentially adversarial. We find that while retrying reduces honest suspicion scores, the..."
🔬 RESEARCH
via Arxiv
👤 Alessandro Sosso, Akhil Arora, Bas Spitters
📅 2026-05-22
⚡ Score: 7.3
"Agentic systems have recently emerged as state-of-the-art approaches for automated theorem proving in formal mathematics. To assess how far these capabilities extend to program verification, we evaluate Claude Code in an agentic proving framework on CLEVER, a Lean 4 benchmark for verifiable code gen..."
📰 NEWS
"External link discussion - see full content at original source."
📡 AI NEWS BUT ACTUALLY GOOD
The revolution will not be televised, but Claude will email you once we hit the singularity.
Get the stories that matter in Today's AI Briefing.
Powered by Premium Technology Intelligence Algorithms • Unsubscribe anytime
📰 NEWS
"Team of 5 from Princeton, and we got funding to build a local inference engine for Apple Silicon - rust, hand written kernels - and we're at the point where working with \~100 people will expose bugs/what people want tool-wise. All of this is free open source - will remain so.
We're ahead of llama/..."
🔬 RESEARCH
via Arxiv
👤 Dhruv Agarwal, Emily Sheng, Chad Atalla et al.
📅 2026-05-25
⚡ Score: 6.8
"Evaluating generative AI (GenAI) systems is challenging because many targets of evaluation are broad, contested concepts, such as "reasoning," "fairness," or "creativity." When these concepts are left underspecified, it becomes unclear what should be measured or how evaluation results should be inte..."
🔬 RESEARCH
via Arxiv
👤 Junlin Wang, Federico Bianchi, Shang Zhu et al.
📅 2026-05-25
⚡ Score: 6.8
"Modern AI benchmarks operate at a complexity that outpaces traditional verification methods. Tasks authored by domain experts often contain implicit assumptions, incomplete environment specifications, and brittle evaluation logic that human annotation cannot reliably catch. We introduce Auto Benchma..."
🔬 RESEARCH
via Arxiv
👤 Haolang Zhao, Yunbo Long, Lukas Beckenbauer et al.
📅 2026-05-25
⚡ Score: 6.8
"Deep research agents face vast, interdependent, and pervasively uncertain information. Existing systems explore what evolving intermediate representations should look like, but leave their evolution to the LLM's implicit reasoning. Without explicit regulation, the intermediate layer is easily contam..."
📰 NEWS
"External link discussion - see full content at original source."
🔬 RESEARCH
via Arxiv
👤 Junlin Yang, Dylan Zhang, Xiangchen Song et al.
📅 2026-05-25
⚡ Score: 6.7
"We introduce CausaLab, a scalable environment for evaluating interactive causal discovery by LLM agents. Unlike prior evaluations, CausaLab evaluates both whether an agent can solve a problem using causal evidence and whether its answer is supported by a correct hypothesis about the underlying causa..."
🔬 RESEARCH
via Arxiv
👤 Matt L. Wiemann, Lindsay M. Smith, Peter Melchior et al.
📅 2026-05-25
⚡ Score: 6.7
"Frontier LLMs now perform strongly across a wide range of physics evaluations, but it is hard to disentangle genuine reasoning from recall of established science. We introduce DiscoverPhysics, an interactive benchmark that asks a LLM agent to discover the laws of motion of a simulated world whose ph..."
🔬 RESEARCH
via Arxiv
👤 Yifan Yang, Ziyang Gong, Weiquan Huang et al.
📅 2026-05-22
⚡ Score: 6.7
"Agent skills today are hand-crafted, generated one-shot, or evolved through loosely controlled self-revision, none of which behaves like a deep-learning optimizer for the skill, and none of which reliably improves over its starting point under feedback. We argue the skill should instead be trained a..."
📰 NEWS
"A lot of people talk about AI agents like the main goal is making them more independent. But the more I think about it, the bigger issue is probably visibility.
If an AI is only answering a question, it is easy to judge the result. But once it starts doing things across websites, accounts, forms, su..."
🔬 RESEARCH
via Arxiv
👤 Dingbang Wu, Rui Hao, Haiyang Wang et al.
📅 2026-05-25
⚡ Score: 6.6
"We present MobileGym, a browser-hosted, lightweight, fully controllable environment for everyday mobile use, targeting interaction fidelity without replicating proprietary backends. It enables two capabilities previously out of reach for everyday apps: verifiable outcome signals through deterministi..."
🔬 RESEARCH
via Arxiv
👤 Yusong Lin, Xinyuan Liang, Haiyang Wang et al.
📅 2026-05-25
⚡ Score: 6.6
"Large language model agents are increasingly envisioned as always-on personal assistants with access to anything relevant in the user's digital world. Yet current systems operate over only narrow slices of that world, limiting context-sensitive reasoning and effective assistance. Existing benchmarks..."
🔬 RESEARCH
via Arxiv
👤 Stuart Bladon, Brinnae Bent
📅 2026-05-22
⚡ Score: 6.6
"It has generally been assumed that geopolitical bias in language models originates from the training data used during the pre-training phase. We tested seven open-weight LLM pairs consisting of the base model (pre-training only) and the chat model (pre-training and post-training) from seven labs on..."
🔬 RESEARCH
via Arxiv
👤 Zisu Huang, Jingwen Xu, Yifan Yang et al.
📅 2026-05-22
⚡ Score: 6.6
"Language agents increasingly improve by reusing \emph{skills} -- structured procedural artifacts distilled from past experience. In particular, \emph{domain-level} and \emph{model-generated} skills are especially promising. They offer fast adaptation within a domain by encoding domain-specific recur..."
🔬 RESEARCH
via Arxiv
👤 Taiming Lu, Zhuang Liu
📅 2026-05-22
⚡ Score: 6.5
"Knowledge distillation generally assumes a strong-to-weak relationship where stronger teachers yield better students. In this work, we examine this assumption about distillation in large language model pretraining. By varying architecture sizes and training token budgets, we create strong-to-weak, s..."
📰 NEWS
"Six months on Cursor full-time. My code volume went up roughly 4×, my review queue went up the same, and reading 600 lines of Cursor-written code carefully still takes a human at a screen.
The cope is skimming. Most of the time that works. The times it does not are boring: an auth check that moved,..."
📰 NEWS
"Implemented(by u/am17an) FWHT for CUDA, speed-up for cases when we quantize the kv-cache.
**1-2%** boost on pp & **7-9%** boost on tg.
Performance on a 5090 with `-ctk q8_0 -ctv q8_0`
|Model|Test|t/s master|t/s cuda-fwt|Speedup|
|:-|:-|:-|:-|:-|
|gemma4 26B.A4B Q4\_K\_M|pp2048|13587.89|13809."