AI15 min read
ArXiv limits submissions to two per month due to AI paper flood
ArXiv now caps submissions to two papers per person per month because AI tools have driven monthly submissions past 40,000.
From The Decoder
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AI15 min read
ArXiv now caps submissions to two papers per person per month because AI tools have driven monthly submissions past 40,000.
From The Decoder
AI12 min read
A new model called JEPA-Anything works across physics, biology, and medicine. It predicts future states by splitting them into multiple partial parts.
From The Decoder
Photo: Yan Krukau
Reka AI released a preview of Rho-1, a single model that handles text, images, video, and robot control.
From The Decoder
AI1 min read
Google researchers released Regularized Recursive Self‑Improvement (RRSI), a harness‑optimization method that limits memorization and cuts token use while keeping performance on unseen tasks.
From The Decoder
AI1 min read
NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in pr...
From The Decoder
AI1 min read
According to researchers at the Deepmind Institute, general AI won't emerge as a single supermodel but as a network of cooperating agents and humans. What will matter most, they argue, is not model size but the rules and institutions tha...
From The Decoder
AI1 min read
Harvard physicist Matthew Schwartz used the open-source tool BootLoops and Claude to produce 36 manuscripts across 18 fields in three months, from particle physics to linguistics. But the results often only became scientifically valuable...
From The Decoder
AI1 min read
A new approach called LEGO-Anything turns single photos into editable Blender code for 3D scenes. GPT-6 Astra leads the accompanying benchmark with up to 53 percent reconstruction accuracy. The biggest weakness across all tested agents i...
From The Decoder
Agents2 min read
Amazon Quick offers tools for prompt engineering across research, workflows, and analytics. Proper prompt design enhances output quality and efficiency.
From AWS machine learning blog
Research1 min read
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quin...
From Microsoft Research
AI1 min read
Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry...
From MarkTechPost
Research1 min read
Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world va...
From Microsoft Research
AI1 min read
“It’s important for service members to understand the uncertainty inherent to LLMs," a GovAI research scholar warns.
From TechCrunch AI
AI1 min read
Sakana AI researchers introduced PC-ALM, a layer-local training method for deep networks that achieves performance comparable to backpropagation up to 1000 layers on MNIST. The research provides a JAX implementation for experimentation and benchmarking.
From MarkTechPost
Agents1 min read
Richard Socher’s Recursive is building an AI system designed to accelerate AI research itself, achieving human-level performance on optimization tasks in under two days. The company’s $4.65B seed round focuses on recursive self-improvement and tackling complex scientific problems.
From Latent Space
AI1 min read
Recent statements from AI researchers, including a >10% risk of human eradication from Anthropic’s alignment lead, have sparked debate about the potential dangers of advanced AI models. This follows incidents involving OpenAI’s internal model and increased model capabilities.
From TechCrunch AI
Agents2 min read
OpenAI reported a Navier-Stokes singularity solution achieved in 88 hours using a system of approximately 10,000 agents trained via multi-agent reinforcement learning. This represents a significant step in AI research, though verification remains pending.
From Latent Space
LLMs1 min read
Terence Tao warns that the increasing use of AI to solve mathematical problems risks depleting the pool of available research questions. This could lead to a shift away from open science and hinder future progress in the field.
From Simon Willison
LLMs1 min read
The MultiverseComputingCAI research explores restricting topic safety for large language models, focusing on specific subsets rather than broad prohibitions. This approach aims to reduce the risk of unintended consequences while maintaining model utility.
From Hugging Face blog
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