AI math breakthroughs have Ethereum researchers debating how fast wallet security could collapse
Ethereum researcher Justin Drake is urging the crypto industry to prepare a "bunker mode" for a scenario where AI-powered math…
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Research & Science
Papers, breakthroughs and what the labs found this week.
623 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.
Nvidia's big bet on physical AI aims for safer robotaxis, humanoid robots
Full-stack safety solution for physical AI is being used by robotics companies.
Does an Illumination Prior Help Face-Swap Detection? A Controlled Study of Temporal Self-Blended Images
Self-blended images are widely used to train face-swap detectors, but primarily capture blending artifacts. We investigate…
Intervention anchors and scientific verification in synthetic vascular predictive representations
Complete orthogonal predictive coordinates do not by themselves bind a latent direction to a named intervention. We present a…
What is the goal of unsupervised machine learning?
Unsupervised learning is one of the main branches of machine learning. Here I argue that unlike the other branches of machine…
Can Jev be Your Q or Policy in Reinforcement Learning?
Foundation models supply reinforcement learning (RL) with priors that mitigate its longstanding weaknesses in sample efficiency…
HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High Resolution
Image-to-3D generation has become increasingly capable of producing objects that closely resemble the input image, and an…
Camera-Noise Residuals for Face-Swap Detection: Redundant, Not Complementary, and Why
Fusing a learned camera-noise fingerprint with an RGB appearance backbone is an appealing route to generator-independent deepfake…
Early Signatures of Memorization in Diffusion Models via Basin Geometry and Cyclic Denoising
Diffusion models generalize early in training and later reproduce individual training samples. Standard tests detect memorization…
$σ$Transfer: Uncertainty Transfer from Small to Large Networks under $μ\mathrm{P}$
Reliable predictive uncertainty in Laplace approximations depends critically on the prior precision, yet selecting it requires a…
Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games
Deep reinforcement learning agents reach strong performance in real-time strategy games but can be brittle against opponents…
AI breakthroughs in robotics won’t change your life any time soon
The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and…
Building a safer path to autonomous industrial AI
Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in…
Researchers are already significantly improving on OpenAI’s recent math results, verified in Lean
So much for the “we don’t learn anything from these slop proofs!” excuse
How is AI accelerating progress in medicine, and when will it reach the level of impact it has already achieved in programming and mathematics?
Because of my own health issues, I now have to pay close attention to and hope for progress in this field. How is AI currently…
Building on our commitment to American scientific discovery
Anthropic is committing $150 million over three years to the Genesis Mission, a federal initiative to accelerate scientific and…
Normalizing Trajectory Models
Diffusion-based models decompose sampling into many small Gaussian denoising steps, an assumption that breaks down when…
Scientists use generative AI to build better proteins for editing DNA
A protein designed with artificial intelligence doubled targeted DNA insertion in cultured cells when incorporated into an…
These Researchers Made AI Drive a Toyota Corolla to Get In-N-Out
Three engineers put GPT, Claude, and Grok in charge of a real car. Only one of them was successful.
Never Look Back: Understanding Persistence in 3D Object Memory from Egocentric Videos
As we move through the world and carry out everyday tasks, we encounter objects that may become relevant only later. We are…
Decoupling Exploration from Optimization in RLVR
Modern language models undergo reinforcement learning with verifiable rewards (RLVR) on top of already-trained checkpoints. A key…
Long-WAM: Scaling the Context of World-Action Models
Real-time robot control demands enough visual history to infer motion and task progress, but processing that history can delay…
Decentralized SGD under Heavy-Tailed Noise: Optimal Convergence Rates and the Role of Gradient Clipping
Heavy-tailed noise has been widely observed in modern machine learning, motivating the use of methods like gradient clipping and…
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