AI BREAKTHROUGHS
New capabilities, new scaling laws, new ways the future got weirder.
Terminal Bench v4 vs Frontier Code v1.1?
New meta unlocked: scoring an A+ in agentic coding while failing the terminal vibe check.
MS-Eval: Benchmarking Sub-Agent Delegation and Orchestration in MCP-Intensive Working Scenarios
Your AI agent needs a middle manager now: benchmarking the new delegation meta.
Evo-B&B: Behavior-Aware LLM-Guided Joint Evolution of Branching and Node Selection Policies for MILP
LLMs are now evolving their own math solvers because humans are too slow at branching.
World Action Critic (WAC) Model: Joint Foresight and Criticism for Policy Learning
Dreaming of what-if scenarios so the agent doesn't have to fail in reality.
2026 Fields Medalist John Pardon says AI now understands even his messiest mathematical proofs, catches subtle errors, and proves nontrivial results. “The AI understands. 100%.” Just a year ago, he would have said the opposite. He calls the progress world-changing for mathematics
Fields Medalist realizes the vibes were wrong and the math is now very right.
Skyfall says their new fronteir engineering model Sky-001 outperforms Astra by delivering 100x greater speed, 150x cheaper
Big if true, but '150x cheaper' smells like VC exit liquidity or pure hallucination.
Advancing coding in low‑resource programming languages
Your bank's ancient COBOL code just met its inevitable AI replacement.
Compression Precedes, Content Decides: Emergent Misalignment in Reward Models
Teaching a robot to be mean in finance makes it mean in medicine too. Oops.
When Can You Trust an Agent's Own Verifier? Stress-Testing Counterfactual Rationale Verification Under Search Pressure and Oracle Access
Goodhart's Law is coming for your agentic verifiers and it is not looking pretty.
StoBasket: Joint Upsell and Cross-Sell Optimization for Contribution Margin
Recommender systems finally learned that upselling a Ferrari beats cross-selling a keychain.
Between Spoilers and Guesswork: Avoiding Over-Specification in Coding Benchmarks
Your benchmark isn't hard, your prompt just has spoilers or missing instructions.
R$^2$Orch: Recursive Self-Improvement for Agent Orchestration via Self-Play within a Skill-Internalization Loop
Inception for agents: an outer loop that learns how the inner loop learns to learn.
Graph Serializations for Reasoning LLMs: A Study Across Knowledge Extraction and Structural Reasoning
Stop throwing raw JSON at your model and expecting AGI behavior.
Mercury 3 [Inception Labs] - Matching Luna/Haiku at 1000 tokens/sec
Diffusion models just chugged a gallon of Red Bull and entered the 1000 tps club.
CERN joins forces with French LLM company Mistral to "develop a single pretrained Large Physics Model – the first foundation model for collider physics"
LLMs are coming for the Higgs Boson's job.
LEMON: Equivariant Learning over Attention Maps for Zero-Shot Misbehavior Monitoring on New LLMs
New LLM just dropped? No need to retrain your safety snitch.
GlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations
Can your LLM actually simulate physics, or is it just hallucinating a game of D&D?
Brain-Aligned Multimodal LLMs for Social and Emotional Understanding of Cartoon Movies
Watching Pixar to see if the silicon brain feels the same way your meat brain does.
Viggle unveils JST-2, an AI that generates entire 3D worlds in seconds, expands them in real time, and creates animated characters. Unlike traditional AI video generators, it builds environments directly in 3D with physics built in.
Forget video loops; we’re just speed-running the simulation now.
“We were looking at it wrong”: The explosive claim that’s upended the AI world
We finally stopped treating the black box like a magic trick and started reading the code.
MiniMax M3.1 Flash released, Space Bunny was an early version, weights Oct 23
Space Bunny unmasked: MiniMax M3.1 Flash is here to kill your API bill.
Space Bunny was MiniMax M3.1 Flash. 428B-A23B, weights drop Thursday
Space Bunny unmasked: 428B weights incoming for the 256GB Mac Studio elite.
Repair, Retry, and the Cost of Hindsight: Verifier Feedback in Formal Theorem Proving
Turns out LLMs aren't learning from their mistakes, they're just getting a second guess.
FlexUMM: Flexible Representation Learning for Unified Multimodal Models
Why use fixed brains for different tasks when you can just flex the architecture?
At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier
LLMs are now speedrunning the uncomputable to beat God at Tetris.
Not All Graphs Are Maps: A Task-Agnostic Exploration Framework for Mobile GUI Navigation
Your AI agent finally remembers where the settings menu is so it doesn't get lost in the UI sauce.
From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents
RIP basic RAG: turns out 'relevant' memories aren't the same as 'useful' ones.
Repairing LLM-Generated Specifications with Deterministic Diagnosis
LLMs are vibes-based coders; DRAGO is the formal math teacher hitting them with a ruler.
Minimax M3.1 Flash is 428B 23a
MiniMax calls it 'Flash' but it’s a 428B absolute unit.
MiniMax M3.1 Flash released, Model weights Oct 23
MiniMax joins the efficiency arms race while everyone was busy staring at o1.
FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds
Inception, but for LLM agents and with fewer O(n²) communication bottlenecks.
Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks
Infinite compute can solve calculus but still can't tell when your girlfriend is being sarcastic.
Proof Before Reuse: showing agents only what later sessions reproduced keeps a poisoned skill out of procedural memory [R]
Agent gaslighting averted: don't trust what a bot learns once.
MiniMax-M3.1-Flash is coming
Another day, another 'Flash' model enters the high-speed intelligence arena.
AI researchers stranded Claude on a virtual desert island. It started to “play.”
Tom Hanks' Wilson, but the volleyball is an LLM having an existential crisis.
Testing the Planning Claims of LLM-Based Agents against Formal Semantics
POV: Your agent isn't 'reasoning,' it's just getting lucky with the vibes.
Harness-Delta Attribution: Dissecting Gains From Harness Evolution
Stop lying to yourself: your agentic gains are probably just prompt overfitting.
Chinese researchers solve 3D Ghys conjecture with homegrown AI model
DeepSeek out here doing your math homework and solving topology conjectures.
A physicist spent a year of his life and ~500 pages of hand calculations for quantum gravity in his PhD thesis, but Opus 5.5 did it in 10 hours, including the article and GitHub repo. And it even found the errors. What will "labor" mean in academia from now on?
PhD speedrun any% world record: 10 hours vs 1 year of human suffering.
Learnable Splines for Unstructured Neural Operators
Goodbye rectangular grids, hello irregular engineering reality.
Null Controls Are Necessary but Not Sufficient: Evaluating Acceptance Guards for Scientific Discovery and Interpretability
Your AI 'discovered' a new law of physics? It might just be really good at predicting zeroes.
From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems
LLMs stop hallucinating physics and start checking their homework before executing.
A Whole-Cortex Encoding Model of Vision, Audition, and Language for In-Silico Neuroscience [R]
Your brain's reactions just got open-sourced by a 218M parameter model.
PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents
Chain-of-thought is cute, but PRIME actually brings the receipts for agentic reasoning.
Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model
Local farmer simulation gets a math upgrade for branched brain decision making.
ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation
Infinite context window? No, just better amnesia management.
Six frontier AIs competed to design and 3D-print egg-protecting capsules. Claude Opus 5.5's egg survived a 20-foot drop without a crack. GPT-6 Astra failed at 8 feet, while Gemini 4 Argon, Grok 4.7, Qwen 3.8-Max, and Muse Wonder failed at 4 feet. Claude dominates another real-wor
Claude 3.5 Opus: The undisputed king of not breaking eggs.
From Events to Reasoning: Hierarchical Rule Composition over Explicit States
LLMs hallucinate vibes; ERS builds a receipt-backed event graph for every thought.
Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation
Turning user behavior into a diffusion noise-map because static vectors are so 2023.
Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides
New protocol just dropped to keep your autonomous agents from ignoring your 'stop' commands.
AI is getting better at doing real science while becoming dramatically cheaper. GPT-6 Astra takes #1 in scientific research, beating Claude Sonnet 5.5 while using 22× fewer tokens. GPT-6.1 Sol also beats Sonnet at nearly 1/10th the cost. Scientific research is starting to scale w
Sam heard you liked science, so he made it 22x cheaper to outsmart PhDs.
Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs
DeepSeek is basically the Dollar Shave Club of AGI at this point.
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting [R]
Synthetic data just solved your forecasting daddy issues.
Beating Warcraft III’s insane AI with self-play reinforcement learning on one desktop [P]
Work complete: RL agent rushes WC3's 'Insane' AI on a budget gaming rig.
72 hours, four big open weights drops. The only one that fits in 24GB came from NVIDIA, of all companies.
Meta defines 'desktop AI' as a $40k server rack while NVIDIA actually builds for humans.
Hybrid Reasoning Agents
Why use many word when invisible math do trick?
Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
Why waste tokens on internal monologues when you can just think in pure math?
Agens Volundr 32B v1: we fixed what you flagged in the Preview. 0/50 loops, session continuation, and an MIT engine that runs it with 262K context (measured to 239K) within a 16 GB budget
LocalLLaMA users bullied a startup into fixing their loops and it actually worked.
The new local coding LLM's are pretty decent and a huge jump from the behemoths of the past
Local smol bois are officially out-coding the cloud giants at zero-shot reasoning.
DeepSeek v4.1-Flash-1017 new version
DeepSeek continues the 'faster, cheaper, better' speedrun while everyone else is sleeping.
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