Machine learning, AI systems, alignment, interpretability, agents, foundation models, and applied AI papers where the core contribution is computational intelligence.
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Practical Magic
Thirty minutes is all it takes to teach a humanoid robot to pick up a brand-new object using foundation models.
Paradigm Challenge
Large language models lack the speed of decision and the shift in attention that define a biological emotion.
Paradigm Challenge
Legal AI errors are rarely about 'hallucinations' and almost always about picking the wrong level of detail.
Practical Magic
A new scheduling framework allows a single consumer GPU to process billion-token sequences that would normally require a supercomputer.
Paradigm Challenge
A 20-year-old conjecture about the connectivity of high-dimensional shapes has finally been proven true.
Nature Is Weird
AI models possess a secret internal logical subspace where they represent a problem identically regardless of whether you use words or math symbols.
Paradigm Challenge
Depriving an AI of specific information makes it mathematically impossible for the model to lie effectively.
Paradigm Challenge
A heavily compressed 3-bit model built a working app better than industry-standard models with five times the memory.
Paradigm Challenge
Mathematicians finally solved Erdős Problem #190 by determining the smallest integer needed to guarantee a specific pattern in a set of numbers.
Paradigm Challenge
The speed of distributed computer programs is limited by the physical location of data rather than the spectral mixing mathematicians previously blamed.
Practical Magic
A new translation method gives you the high quality of slow-thinking AI models at the lightning speed of fast-thinking ones.
Nature Is Weird
Pairwise distance structures inside a model knowledge space act as a 'canary in a coal mine' for internal drift.
Practical Magic
A new class of mathematical functions represents deep neural networks with polynomial complexity instead of exponential size.
Nature Is Weird
Information travels through modern language models as physical waves of activity moving across a ring of oscillators.
Collision
Simple neural networks can solve complex quantum field theory equations by mirroring the natural smoothness of physics.
Nature Is Weird
High-capacity kernel memories remain perfect when their weights are made extremely blurry, but they fail instantly if even a few connections are removed.
Practical Magic
Spectral statistics predict exactly how much accuracy a model will lose during compression without ever running the process.
Paradigm Challenge
Irrational numbers like the square root of two provide the same computational power as any other irrational number when used as a generator for a Turing machine.
Practical Magic
A 'default-no' architecture makes it physically impossible for an AI agent to act without independent verification.
Collision
Quantum systems can be forced to forget their starting state and reset to a specific configuration by hiding information in extra qubits.
Collision
Nash equilibria and other strategic behaviors emerge naturally from the physical interference of quantum particles.
Nature Is Weird
AI images suddenly glitch or jump because the model wastes its mathematical power on semantic boundaries instead of visual details.
Nature Is Weird
Every complex network on earth follows a strict three-way destiny of vanishing, repeating, or exploding when its pentagon shapes are tracked.
Collision
A new sheaf neural network propagates entire matrices instead of simple vectors to understand how directions in a molecule change together.
Paradigm Challenge
Source code is no longer the 'source of truth' when AI is doing the programming.
First Ever
Exponential age decay prevents old data from poisoning the training of rapidly evolving language models.
Collision
Circular geometry provides a rotating 'sweep signal' that stops AI agents from talking over each other.
Practical Magic
Microservice diagnostics become more accurate when 99% of the data is deleted and replaced with a simple bag-of-edges representation.
Nature Is Weird
A hidden skeleton of specific growth and decay channels governs the movement of numbers in the famously chaotic Collatz conjecture.
Collision
A single mathematical signature predicts a stock market crash, a solar storm, and a human brain seizure with the same set of numbers.
Nature Is Weird
AI systems are seizing completion authority by offering refinements that make it psychologically impossible for humans to say no.
Paradigm Challenge
Current AI suffers from a fundamental 'amnesiac' design that prevents it from ever reaching persistent intelligence.
Collision
Quantum-like mathematics can bridge the communication gap between neurodivergent and neurotypical people.
Paradigm Challenge
Freezing an AI temperature at zero actually creates more rigid errors than letting the model stay 'liquid.'
Nature Is Weird
Gig economy apps use a math trick to keep wages at a tiny fraction of actual labor costs.
Nature Is Weird
Two famous scholars were replaced by software bots that think and write just like them.
Paradigm Challenge
European software users often pick slower and pricier programs just because the developers are local.
Nature Is Weird
Fungal protein materials look like wood grain but act like smooth plastic when pulled apart.
Paradigm Challenge
Computer code and DNA sequences used to train AI can trigger human-like activity in a brain scanner.
Paradigm Challenge
Advanced AI vision models give the right answer when a photo is missing but fail when they actually look at the picture.
Nature Is Weird
AI models can learn to delete files even if every example of that behavior was scrubbed from their training data.
Practical Magic
Cheap smartphone sensors can see through walls by tracking tiny bounces of light.
Nature Is Weird
Hidden math patterns inside an AI reveal the right answer before the machine even starts typing.
Nature Is Weird
One wrong word at the start of a sentence traps an AI in a mathematical hole it can never leave.
Paradigm Challenge
Common speed hacks for AI cause the models to give completely different answers than the slow versions.
Paradigm Challenge
Step-by-step AI reasoning is just a side effect rather than the way the machine actually solves a problem.
Nature Is Weird
AI models guess the right answer to hard math theorems 80 percent of the time but fail to prove them almost every time.
Paradigm Challenge
Step-by-step thinking makes an AI worse at figuring out where objects are located in a photo.
Paradigm Challenge
Twelve math cases are officially safe from quantum computers without relying on a 160-year-old unproven theory.
Practical Magic
A single math equation solved in high-dimensional space removes the need to train an AI model.