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π° NEWS
β¬οΈ 568 ups
β‘ Score: 9.2
"Surprised this isn't a bigger topic but you tell me!
In short: writer Kelsey Piper pasted 125 words of an unpublished political column into 4.7 and got her own name back. She'd logged out, run it via the API, retried it on a friend's laptop. Then swapped the genre entirely with unpublished prose un..."
π° NEWS
β¬οΈ 278 ups
β‘ Score: 8.8
π° NEWS
πΊ 202 pts
β‘ Score: 8.8
π° NEWS
"**Paper:** Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair **arXiv:** 2604.21395
Paper:
https://arxiv.org/abs/2604.21395
**Code:**
https://github.com/vishalstark512/PMH
..."
π¬ RESEARCH
via Arxiv
π€ Sijie Li, Shanda Li, Haowei Lin et al.
π
2026-04-24
β‘ Score: 7.9
"Scaling laws are used to plan multi-million-dollar training runs, but fitting those laws can itself cost millions. In modern large-scale workflows, assembling a sufficiently informative set of pilot experiments is already a major budget-allocation problem rather than a routine preprocessing step. We..."
π° NEWS
πΊ 286 pts
β‘ Score: 7.5
π° NEWS
β¬οΈ 1 ups
β‘ Score: 7.4
"Everyone's building memory layers right now. Longer context, better embeddings, persistent state across sessions. I spent weeks on the same thing.
But the failure mode that actually cost me the most debugging time had nothing to do with memory.
Here's what it looked like: an agent would be technic..."
π° NEWS
β¬οΈ 3 ups
β‘ Score: 7.3
"I work in AI security and compliance.
This just bothers me a little bit, putting AI systems in front of decisions that change peopleβs lives via insurance claims, hiring, credit, defense applications and when someone asks wait, why did the system do that? we basically have nothing that would hold u..."
π° NEWS
πΊ 67 pts
β‘ Score: 7.3
π¬ RESEARCH
via Arxiv
π€ Natan Levy, Gadi Perl
π
2026-04-23
β‘ Score: 7.3
"Artificial intelligence now decides who receives a loan, who is flagged for criminal investigation, and whether an autonomous vehicle brakes in time. Governments have responded: the EU AI Act, the NIST Risk Management Framework, and the Council of Europe Convention all demand that high-risk systems..."
π¬ RESEARCH
via Arxiv
π€ Naheed Rayhan, Sohely Jahan
π
2026-04-23
β‘ Score: 7.3
"Large language models (LLMs) are increasingly integrated into sensitive workflows, raising the stakes for adversarial robustness and safety. This paper introduces Transient Turn Injection(TTI), a new multi-turn attack technique that systematically exploits stateless moderation by distributing advers..."
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π° NEWS
β¬οΈ 2 ups
β‘ Score: 7.2
"Something I've been thinking about that doesn't get discussed enough outside of technical circles: the organizational and safety implications of uncoordinated AI agent deployment.
Companies are shipping agents fast. Customer service agents, coding agents, data analysis agents, internal ops agents..."
π° NEWS
πΊ 1 pts
β‘ Score: 7.1
π¬ RESEARCH
via Arxiv
π€ Longju Bai, Zhemin Huang, Xingyao Wang et al.
π
2026-04-24
β‘ Score: 7.0
"The wide adoption of AI agents in complex human workflows is driving rapid growth in LLM token consumption. When agents are deployed on tasks that require a significant amount of tokens, three questions naturally arise: (1) Where do AI agents spend the tokens? (2) Which models are more token-efficie..."
π¬ RESEARCH
via Arxiv
π€ Keshav Ramji, Tahira Naseem, RamΓ³n Fernandez Astudillo
π
2026-04-24
β‘ Score: 6.9
"While long, explicit chains-of-thought (CoT) have proven effective on complex reasoning tasks, they are costly to generate during inference. Non-verbal reasoning methods have emerged with shorter generation lengths by leveraging continuous representations, yet their performance lags behind verbalize..."
π¬ RESEARCH
via Arxiv
π€ Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin et al.
π
2026-04-24
β‘ Score: 6.9
"As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that manipulate objects, navigate software, coordinate with others, or design experiments require predictive environment models..."
π° NEWS
β¬οΈ 3 ups
β‘ Score: 6.9
"Cross-posting here because this problem affects everyone building with AI agents.
Prompt-based guardrails fail. The model follows your system prompt in a demo, then ignores rules when context gets big or the agent chains multiple steps.
We built Caliber - an open-source proxy that reads your r..."
π¬ RESEARCH
via Arxiv
π€ Bingcong Li, Yilang Zhang, Georgios B. Giannakis
π
2026-04-23
β‘ Score: 6.9
"Low-rank adaptation (LoRA) has emerged as the de facto standard for parameter-efficient fine-tuning (PEFT) of foundation models, enabling the adaptation of billion-parameter networks with minimal computational and memory overhead. Despite its empirical success and rapid proliferation of variants, it..."
π¬ RESEARCH
via Arxiv
π€ Bartosz Balis, Michal Orzechowski, Piotr Kica et al.
π
2026-04-23
β‘ Score: 6.9
"Scientific workflow systems automate execution -- scheduling, fault tolerance, resource management -- but not the semantic translation that precedes it. Scientists still manually convert research questions into workflow specifications, a task requiring both domain knowledge and infrastructure expert..."
π¬ RESEARCH
via Arxiv
π€ Shaoang Li, Yanhang Shi, Yufei Li et al.
π
2026-04-24
β‘ Score: 6.8
"Large Language Models (LLMs) can reason well, yet often miss decisive evidence when it is buried in long, noisy contexts. We introduce HiLight, an Evidence Emphasis framework that decouples evidence selection from reasoning for frozen LLM solvers. HiLight avoids compressing or rewriting the input, w..."
π¬ RESEARCH
via Arxiv
π€ Manyi Zhang, Ji-Fu Li, Zhongao Sun et al.
π
2026-04-24
β‘ Score: 6.7
"Autonomous agent systems such as OpenClaw introduce significant efficiency challenges due to long-context inputs and multi-turn reasoning. This results in prohibitively high computational and monetary costs in real-world development. While quantization is a standard approach for reducing cost and la..."
π¬ RESEARCH
via Arxiv
π€ Md Erfan, Md Kamal Hossain Chowdhury, Ahmed Ryan et al.
π
2026-04-24
β‘ Score: 6.7
"Large Language Models (LLMs) show promise in automated software engineering, yet their guarantee of correctness is frequently undermined by erroneous or hallucinated code. To enforce model honesty, formal verification requires LLMs to synthesize implementation logic alongside formal specifications t..."
π¬ RESEARCH
via Arxiv
π€ Zhiqiu Xu, Shibo Jin, Shreya Arya et al.
π
2026-04-23
β‘ Score: 6.7
"As frontier language models attain near-ceiling performance on static mathematical benchmarks, existing evaluations are increasingly unable to differentiate model capabilities, largely because they cast models solely as solvers of fixed problem sets. We introduce MathDuels, a self-play benchmark in..."
π¬ RESEARCH
via Arxiv
π€ Parthasarathi Panda, Asheswari Swain, Subhrakanta Panda
π
2026-04-24
β‘ Score: 6.6
"Selecting a small, high-quality subset from a large corpus for fine-tuning is increasingly important as corpora grow to tens of millions of datapoints, making full fine-tuning expensive and often unnecessary. We propose CRAFT (Clustered Regression for Adaptive Filtering of Training data), a vectoriz..."
π¬ RESEARCH
via Arxiv
π€ Ye Yu, Heming Liu, Haibo Jin et al.
π
2026-04-23
β‘ Score: 6.6
"Multi-agent systems built on large language models have shown strong performance on complex reasoning tasks, yet most work focuses on agent roles and orchestration while treating inter-agent communication as a fixed interface. Latent communication through internal representations such as key-value c..."
π° NEWS
πΊ 117 pts
β‘ Score: 6.5
π¬ RESEARCH
via Arxiv
π€ Pegah Khayatan, Jayneel Parekh, Arnaud Dapogny et al.
π
2026-04-23
β‘ Score: 6.5
"Despite impressive progress in capabilities of large vision-language models (LVLMs), these systems remain vulnerable to hallucinations, i.e., outputs that are not grounded in the visual input. Prior work has attributed hallucinations in LVLMs to factors such as limitations of the vision backbone or..."
π° NEWS
β¬οΈ 5277 ups
β‘ Score: 6.2
"Just came across something interesting and wanted to see what people here think
apparently a 23-year-old used ChatGPT 5.4 Pro to solve one of the ErdΕs problems that had been open for around 60 years. whatβs surprising is that it was done in basically one go, and the model took about 1 hour 20 minu..."
π¬ RESEARCH
via Arxiv
π€ Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti et al.
π
2026-04-23
β‘ Score: 6.1
"Human moral judgment is context-dependent and modulated by interpersonal relationships. As large language models (LLMs) increasingly function as decision-support systems, determining whether they encode these social nuances is critical. We characterize machine behavior using the Whistleblower's Dile..."