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…
Meta Announces $600 Billion AI Infrastructure Spend Through 2028, Creating ‘Meta Compute’ Division to Build Tens of Gigawatts of Data Center Capacity
Meta just committed more capital to AI infrastructure than the entire GDP of Finland, Belgium, or Thailand combined—and they hired a former…
The 8-Second War Plan: Why Air Force DASH-2’s AI-Generated Courses of Action Just Made Human Military Oversight Mathematically Impossible
The Pentagon just proved that human commanders can’t keep up with AI warfare—and they’re deploying it anyway.
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 Agent Skills Standard: Why Anthropic’s December 2025 Open Format Is Creating the First True Portability Crisis for Workflow Automation—And Exposing Every Vendor’s Integration Trap
Anthropic just handed every workflow automation vendor an existential crisis wrapped in an open-source gift, and most enterprises…
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 Inference Cost Paradox: Why Generative AI Spending Surged 320% in 2025 Despite Per-Token Costs Dropping 1,000x—And What It Means for Your AI Budget in 2026
The most expensive thing in enterprise AI isn’t what you think—and the CFOs who figured this out too late are now scrambling to explain…
The AI Model Aggregator War: Why OpenRouter’s 136 Trillion Token Routing Empire Just Made Your Single-Provider API Strategy Obsolete
The numbers don’t lie: while you debated OpenAI vs Anthropic, one platform quietly routed more tokens than both combined—and your API…
The AI Productivity Illusion: Why 95% of Companies Can’t Measure ROI and Experienced Developers Are 19% Slower
Your AI productivity dashboard is lying to you, and the uncomfortable truth behind the numbers will make you question everything your team…
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…