Everyday
StackReadsListenConceptsBrief
Apparatus
AllIntelligenceSoftwareSecurityPhysicsMathematicsLifeChemistrySociety

Intelligence

7 years agoarXivIntelligence

The Boring Trick That Let One AI Do a Dozen Specialists' Jobs

A team refused to build a different tool for every language task, and one plain machine held its own against all the specialists.
7 years agoarXivIntelligence

The Study That Told AI to Stop Practicing and Start Growing

A 2020 paper found that huge, half-finished models beat small ones trained to mastery — and that arithmetic became the bet behind the giant models that followed.
3 months agoarXivIntelligence

The Best AI Coder on the Leaderboard Is Only the Best at Python

There's a single number meant to tell you which AI to trust with your code. It's been quietly measuring the wrong thing — and the gap is wide enough to pick the wrong tool.
3 months agoarXivIntelligence

The Gold Standard for Data Privacy Was Designed for an Attacker Who Doesn't Exist

When Apple and the Census Bureau say your data is "differentially private," they're proving something real — just not about the threat you're probably worried about.
7 years agoarXivIntelligence

The Machine That Draws Never Needed a Rival

Convincing fake photos were supposed to require two programs fighting each other. One program, patiently walking an image out of static, matched them.
3 months agoarXivIntelligence

The AI That Got Smarter Without Practice

A new approach lets AI agents sharpen what they know by imagining experience instead of having it — and filtering that imagined experience more patiently than any real trial could.
3 months agoarXivIntelligence

What the Camera on Your Face Will Never See

A head-mounted AI can now read your whole body's actions — even though its only camera faces outward and never sees you.
3 months agoarXivIntelligence

The AI That Doesn't Need to Live Through It Twice

To explain their decisions and catch their biases, AI systems need to answer "what if" — and it turns out that costs half as much as we thought, once you notice that looking and reasoning are two different things.
7 years agoarXivIntelligence

A Computer Learned to See Without Ever Being Told What It Was Looking At

The hand-labeled photo collections behind a decade of machine vision may not be the bottleneck everyone assumed — a machine can learn nearly as much from a strange guessing game played on unlabeled pictures.
6 years agoarXivIntelligence

The Blurry Pictures That Taught AI to Stop Being Clever

To make a computer draw, researchers had spent years building it careful, specialized tools. Then one team skipped the tools, poured in a quarter-billion pictures off the internet, and won.
5 years agoarXivIntelligence

Helpful Is Not Something a Machine Works Out for Itself

A stripped-down AI beat a model more than a hundred times its size, for one reason: people sat down and told it which answers were better. What it learned was their taste.
3 months agoarXivIntelligence

All That Machinery Was a Workaround

The hardest part of teaching AI to reason about geometry turned out to be optional — a consequence of a naming choice researchers made without realizing they had made it.
7 years agoarXivIntelligence

Why Trying to Say the Smartest Thing Made the Machine Say Nothing at All

The safest-looking way to make a machine write is to always pick the word it's most sure of. That is exactly what traps it saying the same line forever.
3 months agoarXivIntelligence

Fair AI Was Supposed to Need a Coin Flip. It Doesn't.

The assumption that blocked fully auditable, group-fair AI just turned out to be wrong.
3 months agoarXivIntelligence

The AI That Reads Your Assumptions at the Last Moment

Every AI model has its beliefs baked in at training time. A new approach lets you hand a model your assumptions as data, right before it predicts, and it reasons as carefully as a statistician who never has to sleep.
3 months agoarXivIntelligence

When AI Grades AI, the Danger Is the Wiring, Not the Model

We're building AI pipelines where models evaluate each other's work — and it turns out the risk isn't in any one agent, it's in how they're connected.
3 months agoarXivIntelligence

The Best Rule in Machine Learning Was Measured With a Crooked Ruler

Everyone knew that training an AI on small bites of data makes it smarter in the wild. The popular explanation for why turned out to be measuring nothing at all.
3 months agoarXivIntelligence

The AI That Learns Without Changing Its Mind

Your voice assistant still can't say "Nguyen" — not because fixing it is hard, but because fixing it the obvious way breaks everything else.
3 months agoopenalexIntelligence

The Identity No One Can Fake — Because No One Knows What It Says

Hardware counterfeiting costs billions a year, and the best defense turns out to be a fingerprint that physics writes and only physics can rewrite.
3 months agoarXivIntelligence

To Fix Biased Data, You May Need to Delete More and Add Less

Removing the right records can cut the cost of bias mitigation by 62 percent, with almost no hit to accuracy.
3 months agoarXivIntelligence

Some AIs Can Be Talked Into Anything. One Training Step Is the Difference.

A common trick warms an AI up with harmless questions, then slips in a forbidden one. The real defense isn't better rules — it's a quiet phase of training that not every model gets.
3 months agoarXivIntelligence

The AI That Tries the Side Door Before Calling for Help

When an AI assistant hits a wall, how it recovers turns out to matter more than how smart it is — and the answer is embarrassingly human.
3 months agoarXivIntelligence

Nine Numbers Beat Fifty Thousand

For decades, science has used neural networks as powerful black boxes. An AI just wrote a nine-parameter equation that outperformed one with fifty thousand — and unlike the neural network, you can actually read it.
3 months agoarXivIntelligence

AI Was Built to Serve Millions. That's Why Your Robot Hesitates.

The design that makes cloud AI cheap is the wrong tool for the AI that will live in your house — and it's quietly taxing every device that runs it alone.
3 months agoarXivIntelligence

The Two Clocks Running Inside Every GPU

Modern AI depends on hardware that can fail in more than one way at once — and predicting which failure wins the race turns out to require a model that thinks like an engineer, not like a statistician.
3 months agoarXivIntelligence

The AI That Reasons in Private Can Be Taught to Show Its Work

A new breed of AI seemed to think in an unreadable private language. It turns out a whisper of plain words at each step is enough to make it watchable.
3 months agoarXivIntelligence

When Every Expert Is Right and the Whole System Is Wrong

A flaw in how AI systems combine specialist opinions can make them dangerously overconfident — and auditing each part separately won't catch it.
3 months agoarXivIntelligence

The Radiology AI That Can Finally Point to What It Sees

AI can already write your scan report. The problem is nobody knows where it was looking — and that may matter more than whether it's right.