TII’s Falcon-H1R 7B Outperforms 47B Models on Math Reasoning While Running on a 16GB Laptop
A 7-billion parameter model just scored 88.1% on AIME-24 math reasoning, crushing NVIDIA’s 47B Nemotron at 49.7%. The assumption that…
NVIDIA Alpamayo: 10B-Parameter VLA Model Reduces Autonomous Driving Validation Variance by 83% Across 310,895 Real-World Clips
NVIDIA just open-sourced a 10-billion-parameter autonomous driving brain trained on 1,700+ hours of real-world footage from 25 countries—and…
GreyNoise Captures 91,403 Attacks Targeting Every Major LLM
Attackers launched 91,403 sessions against AI infrastructure in 90 days—and they hit every major model from GPT-4o to Claude to Llama. The…
Inverse Scaling in Test-Time Compute: When More ML Reasoning Tokens Systematically Destroy Performance
The industry just spent billions convincing you that longer AI thinking equals better results. New research proves that’s…
The Compute-Optimal Blind Spot: Why Most ML Teams Are Still Wasting 40% of Training Budget on the Wrong Scaling Trade-Off
Your ML team probably burned through 40% of its training budget last quarter—and nobody noticed because the waste happened before a single GPU…
The Context Fidelity Crisis: Why Recursive Language Models Just Made the 10M Token Context Window Obsolete Before It Arrived
The AI industry just spent billions engineering context windows that can swallow entire codebases whole—and MIT proved it was solving the…
The Model Size Paradox: Why Anthropic’s October 2025 Research Proves That 250 Poisoned Documents Can Backdoor Any LLM—And Scaling to GPT-5 Won’t Save You
The security assumption that justified your $50 million scaling budget was just proven false by the company building the models you’re…
The Military AI Vendor Paradox: Why the Pentagon’s January 2025 DeepSeek Ban Exposes the Real Threat Isn’t Chinese Surveillance—It’s American Lock-In
The Pentagon’s DeepSeek panic revealed something far more dangerous than Chinese spyware—and nobody’s talking about it.
The Critical Batch Size Paradox: Why Your GPU Cluster Is Wasting 40% of Its Compute on Inefficient Training Steps
Your infrastructure team just maxed out batch size on that H100 cluster. The GPU utilization graphs look beautiful. But you’re…
The Military AI Trust Paradox: Why the Pentagon’s ‘Distrust and Verify’ Doctrine Is Killing the Speed Advantage It’s Supposed to Create
The Pentagon wants AI to win the next war at machine speed. But it just issued a policy requiring humans to verify every AI decision. Which…