AI Got the Super Bowl Right — Missed the Rest
Every major AI predicted a Seahawks victory. None predicted the blowout. What Super Bowl LX reveals about the limits of machine learning in sports.
Articles by Marcus Thompson on AI Pulse. 15 articles covering AI news, tools, research, and analysis.
Every major AI predicted a Seahawks victory. None predicted the blowout. What Super Bowl LX reveals about the limits of machine learning in sports.
Anthropic's quiet plugin launch sent shockwaves through enterprise software. But is the panic justified, or is Wall Street overreacting to a productivity tool?
This autonomous AI pentester finds and proves vulnerabilities in web apps without human guidance. It discovered 20+ critical flaws in OWASP Juice Shop in under 2 hours.
The optimized model makes GPT-5-level reasoning affordable for startups. The API waitlist has 200,000 developers.
The new reasoning model costs pennies per query and matches o1 on most tasks. The economics of AI apps just changed.
SOC 2 compliance, data residency options, and guaranteed uptime. The boring stuff that makes enterprise adoption possible.
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H200 chips selling faster than they can be made. Every major AI lab is competing for allocation.
Internal memo cites 40% productivity gains. Engineers say the policy ignores code quality concerns.
Microsoft wants more control. OpenAI wants more independence. The AI industry's most important relationship is strained.
Algorithms that maximize efficiency also maximize physical strain. Workers say the pace is unsustainable.
The collar monitors pet health, but its fall detection feature called 911 when the owner collapsed. An unexpected use case.
A middle school in Detroit tried an experiment with personalized AI tutoring. The results exceeded every expectation.
The same model that called the February dip is showing unusual patterns again. Wall Street is paying attention.
Margaret Chen had never written a line of code. Eighteen months later, her medication reminder app has 50,000 users.