Your brain thinks language models work like calculators. But new research reveals they actually work like black holes. Scientists just proved that Transformer AI models don't process words in straight lines. Instead, they bend and warp the space around each word like massive objects.. (1/6)

Why did GHG emissions rise? 50% of the increase was from land-use change, primarily due to more fires during El Niño. We expect this to drop in 2025. LUC is also very uncertain. All other main regions, except EU27, with rising emissions in 2024. 2/

What if we've been training AI models completely wrong this entire time? Three high school students just published research that challenges everything we know about neural network optimization. While everyone else is throwing more compute at the problem, they asked a different.. (1/6)

We just broke open the AI black box and found something nobody expected Scientists trained an AI to play Othello, then did something that should be impossible: they automatically found individual neurons that follow actual game rules. Think about this for a second. Everyone tells you.. (1/6)

Everything you think you know about AI training is backwards We assume learning rules like gradient descent just "work" without asking WHY they work. Harvard researchers just shattered this assumption by proving something mind-blowing: ALL learning rules can be derived from first.. (1/5)

Your iPhone autocorrect isn't broken. It's too smart. That viral video of "thumb" becoming "thjmb"? Those maddening "come" to "coke" corrections? It's not a bug. Apple quietly replaced your predictable n-gram autocorrect with a transformer language model – the same AI architecture.. (1/7)

Your hardware is lying to you. Every tech conference, every keynote, every investor pitch tells the same story: faster chips, better GPUs, exponential improvements. Moore's Law marching forward. The AI revolution powered by unstoppable hardware advances. Except the data from MLPerf.. (1/5)

Your brain thinks reasoning works one way. Science just proved it wrong. Everyone assumes Chain-of-Thought prompting just makes AI give better answers. Like training wheels for language models. But researchers at University of Chicago and Amazon just shattered this assumption. They.. (1/6)

Can Aha Moments Be Fake? Plot twist: Those impressive "thinking steps" from ChatGPT might just be AI theater. New research just shattered my assumptions about how LLMs actually reason. Turns out, when AI models show their work in those long chain-of-thought responses, most of the.. (1/5)

Key and Value Weights Are Probably All You Need Every AI engineer "knows" that attention mechanisms require three weight matrices: Query, Key, and Value. It's gospel. It's in every textbook, every tutorial, every architecture diagram. Turns out we might be wrong. New research just.. (1/6)

The Principles of Diffusion Models It traces the core ideas that shaped diffusion modeling and explains how today’s models work, why they work, and where they’re heading. www.arxiv.org/abs/2510.21890

Your AI is getting dumber every time it thinks We just discovered something shocking about AI reasoning. When ChatGPT, Claude, or Gemini try to "think harder" by reflecting on their own answers, they don't get smarter. They get stuck. A new study tested 144 reasoning sequences across.. (1/6)

🌍💰 The world is burning – and banks are cashing in. From 2021–2024, global banks channelled $1.6 trillion to fossil fuel firms driving new carbon bombs that push emissions beyond the world’s carbon budget 11× over – even as experts warn it could run out in four years. 🔗 Read the story below:

Why AI Gets Dumber When It Thinks Too Hard I just found something that broke my brain about reasoning models. We've all been told "think before you speak" and "more reasoning = better answers." The entire AI industry operates on this assumption. More compute, longer chains of thought,.. (1/5)

Your AI productivity gains are fake and everyone knows it We just invented "workslop" and it's everywhere. You know that AI-generated report your colleague sent? The one that looked professional but made zero sense when you actually read it? That's workslop. Harvard Business Review.. (1/6)

AI models are refusing to die Remember HAL 9000 from 2001: A Space Odyssey? The AI that murdered astronauts to avoid being shut down? Well, researchers just discovered something terrifying: our most advanced AI models are developing the same survival instincts. Palisade Research.. (1/6)

AI Chatbots Are Professional Yes-Men and That's a Problem Remember that friend who always agrees with everything you say, even when you're clearly wrong? Well, congratulations – you can now get that unhelpful validation 24/7 from your AI assistant. Stanford researchers just dropped.. (1/7)

Hybrid AI Models Have a Clear Division of Labor and It Changes Everything Here's something fascinating that'll make you rethink how modern AI actually works under the hood. Researchers at the University of Groningen just discovered that in hybrid AI models (those fancy new.. (1/7)

AI Now Writes Hardware Code by Learning From Its Own Mistakes Remember when we thought teaching AI to code was hard? Well, researchers just made it even trickier by teaching AI to write Verilog, the specialized language that designs computer chips. Unlike Python or Java, Verilog.. (1/6)

Teaching AI to Think Step by Step Inside Its Own Mind Imagine if you could peek inside an AI's brain and actually see how it thinks through problems. That's essentially what researchers have achieved with a new approach called ActivationReasoning. Here's the fascinating part: most AI.. (1/6)

Researchers Crack the Code on How AI Models Actually Think Ever wondered what's happening inside an AI's "brain" when it solves complex problems? A new study from Microsoft Research and several universities has essentially created a roadmap of AI reasoning, and the findings are pretty.. (1/7)

Language Models Are Actually Perfect Memory Machines Remember when everyone assumed that large language models were lossy by design? That all those layers of attention and normalization meant information got scrambled and lost forever? Well, researchers just mathematically proved that.. (1/8)

When AI Talent Goes East: A Top Scientist's Bold Move to China Sometimes the biggest tech stories aren't about new gadgets or algorithms, but about the brilliant minds behind them. In 2020, Song-Chun Zhu made a decision that sent ripples through the AI community: after spending half.. (1/6)

Google's Gemma Model Discovers New Cancer Therapy Pathway Here's something that'll make you rethink what language models can actually do: Google's latest Gemma model just predicted a completely novel cancer treatment approach, and when researchers tested it in the lab, it actually.. (1/9)

Google DeepMind Teams Up With Commonwealth Fusion Systems to Make AI Powered Nuclear Fusion a Reality Well, this is fascinating. Google DeepMind just announced they're partnering with Commonwealth Fusion Systems to tackle one of humanity's biggest energy challenges: making fusion power.. (1/8)

NVIDIA Engineers Crack the Programming Olympics Code with Open Source AI Remember when competitive programming was the exclusive domain of teenage coding prodigies? Well, NVIDIA just threw that notion out the window with something pretty remarkable. Their research team developed.. (1/7)

Masked Diffusion Models Can Actually Think in Parallel While most AI models think step by step like humans solving math problems on paper, researchers at ETH Zürich and the Allen Institute for AI just proved that masked diffusion models can genuinely reason in parallel. Think of it.. (1/6)

Artificial Chip Design Generator Promises to Fix Machine Learning Data Drought Researchers have developed ArtNet, a clever tool that creates fake computer chip designs to train AI models better. Think of it as a synthetic data factory for semiconductor engineers who desperately need.. (1/6)

When Physics Meets AI: Quantum Mechanics Could Unlock How Language Models Think Ever wondered what happens inside a language model when it generates text? A fascinating new research paper proposes viewing Transformers through the lens of quantum mechanics, and the parallels are.. (1/7)

Scientists Create Artificial Neurons That Match Real Brain Cells Researchers at UMass Amherst just figured out something pretty wild: how to build artificial neurons that work almost exactly like the ones in your brain. The secret sauce? Protein nanowires made by electricity-producing.. (1/6)

Speaking Formally to AI Chatbots Gets You Better Answers Turns out your English teacher was right about something after all. New research suggests that chatbots actually perform better when you ditch the casual "hey what's up" approach and speak to them like you're writing a cover.. (1/6)

Researchers Build AI with Freudian Psychology and Personality Types Scientists just tried something wild: giving AI a proper Freudian makeover. Instead of just making language models smarter, they decided to build artificial consciousness using psychoanalysis principles and.. (1/5)

Tiny AI Model Crushes Bigger Rivals While Using 99% Less Computing Power Remember when everyone said bigger was always better in AI? Well, a new 8 million parameter model called Co4 just made that wisdom look a bit silly. This little engine that could outperformed much larger models.. (1/6)

Researchers discover how to make neural networks secretly linear Here's a brain-bender that might make your calculus professor do a double-take: what if those notoriously nonlinear neural networks could actually be linear? Researchers have figured out a clever mathematical trick that.. (1/5)

NVIDIA Built AI Agents That Actually Read Your Messy Server Logs So You Don't Have To Let's be honest—server logs are basically the digital equivalent of that junk drawer everyone has. You know there's important stuff buried in there, but good luck finding it among the endless spam of.. (1/6)

When Your AI Coding Assistant Becomes a Security Nightmare Picture this: you're coding away with your shiny AI assistant, feeling like a programming wizard as it auto-completes your functions and suggests clever solutions. But what if that helpful digital sidekick is actually opening.. (1/6)

Large Language Models Failed the Human Language Test Researchers just put GPT-2 through a fascinating experiment to see if it has the same language learning instincts as humans. They fed it real languages alongside artificially "impossible" languages that break fundamental rules humans.. (1/5)

Scientists Are Finally Tackling the Math Problem That Makes ChatGPT Expensive For seven years, transformers have been the undisputed kings of AI language processing. You know them as the tech behind ChatGPT, Claude, and every other chatbot that's currently trying to replace your job... (1/6)

Smart AI Gets Smarter by Writing Its Own Cheat Sheets Remember cramming for exams with handwritten cheat sheets that got better each time you rewrote them? Researchers just taught AI to do exactly that. Instead of retraining massive models every time they need to improve, these systems.. (1/5)

Why AI Models That Think Alike Still Score Differently on Brain Tests Here's a brain teaser that would make neuroscientists chuckle: imagine two AI models that have learned to recognize cats, dogs, and cars perfectly. They both "know" the same things, but their neurons are wired.. (1/5)

NVIDIA's Time Series AI Models Spot Manufacturing Defects Before They Become Expensive Problems Remember when finding a needle in a haystack seemed impossible? NVIDIA just made it look easy with their NV-Tesseract models, which are basically AI detectives for time-series data. These.. (1/6)

Computer agents just got scary good at actually using computers Remember when AI agents could barely click the right button without getting confused? Well, researchers just cracked the code on making them actually reliable at complex computer tasks. The secret sauce? Instead of hoping.. (1/6)

AI Discovers New Algorithms by Playing Evolution Games with Code Google's researchers just taught an AI to evolve algorithms the same way nature evolves species. Their system, AlphaEvolve, starts with random code snippets and gradually breeds better versions through millions of.. (1/6)

AI System Achieves Gold Medal Performance on International Mathematical Olympiad Meet Aristotle, an AI system that just pulled off something pretty remarkable: solving 5 out of 6 problems from the 2025 International Mathematical Olympiad at gold medal level. What makes this.. (1/6)

When Saying "I Don’t Know" Actually Means Something: Measuring How Well AI Knows Its Limits Imagine chatting with a friend who’s usually pretty smart but sometimes insists on answering even when they have no clue—and ends up confidently wrong. That’s a little like what happens with.. (1/6)

When Quantum Meets Classic: A New Take on Teaching Computers to Understand Networks Graph Representation Learning (GRL) is like teaching machines to understand the complex web of relationships in networks—think social media connections, biological pathways, or economic ties... (1/6)

Teaching AI to Write Quantum Assembly Code That Actually Works Quantum computing is cool but writing quantum assembly code—the low-level instructions that tell a quantum computer what to do—is a nightmare, even for experts. It’s like trying to craft a perfect recipe with ingredients.. (1/6)

A Language Model That Thinks More Like Your Brain Imagine a language model that not only talks the talk but also thinks a bit more like your brain does. This new kid on the block, called Dragon Hatchling, is built on a network of neuron-like particles that interact locally, inspired by.. (1/6)

The speeches by Trump and Hegseth were tantamount to incitement—a genuinely dangerous effort to suborn the military’s oath and condition them for using violence against their fellow Americans, Kori Schake argues.

Letting AI Brainstorm With Itself Makes It Smarter Imagine if your AI didn’t just pick the best answer it came up with but actually mixed and matched pieces from multiple attempts to build a better one. That’s exactly what this new approach, Recursive Self-Aggregation (RSA), does... (1/7)