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Why it matters: Smart Ways to Use AI in Daily Life for Study and Work to save time, boost focus and improve everyday productivity.
Smart Ways to Use AI in Daily Life for Study and Work Read More »
Why it matters: How Bad Training Data Can Turn an AI Chatbot Toxic and damage trust, plus steps to prevent biased harmful bots.
How Bad Training Data Can Turn an AI Chatbot Toxic Read More »
Why it matters: OpenAI vs Claude Code: Inside the New AI Coding War, boosting dev speed, safety and governance for real teams.
OpenAI vs Claude Code: Inside the New AI Coding War Read More »
US military confirms use of ‘advanced AI tools’ in war against Iran Al Jazeera
US military confirms use of ‘advanced AI tools’ in war against Iran – Al Jazeera Read More »
Why it matters: How I Taught 5000 People to Use AI and What Actually Works reveals a proven ladder and framework for fast AI skills.
How I Taught 5000 People to Use AI and What Actually Works Read More »
This post first appeared on Ben Lorica’s Gradient FlowSubstack newsletter and is being republished here with the author’s permission. Even the most ardent cheerleaders for artificial intelligence now quietly concede we are navigating a massive AI bubble. The numbers are stark: Hyperscalers are deploying roughly $400 billion annually into data centers and specialized chips while
I’ve said in the past that AI will enable new kinds of applications—but I’ve never had the imagination to guess what those new applications would be. I don’t want a smart refrigerator, especially if it’s going to inflict ads on me. Or a smart TV. Or a smart doorbell. Most of these applications are silly,
The revival of this 90s favourite is a retro-futuristic fever dream that is first incomprehensible, then thrillingly evocative. Plus, Donald Glover’s Yoshi debutBack in the mid-1990s, when I was a staff writer for Edge magazine, Marathon was our multiplayer shooter of choice. We all worked on Apple Macs, not PCs, so Bungie’s sci-fi opus was
Picking a document AI model is hard. Every vendor claims 95%+ accuracy. General-purpose benchmarks test reasoning and code, not whether a model can extract a complex table from a scanned invoice.So we built the Intelligent Document Processing (IDP) Leaderboard. 3 open benchmarks. 16+ models. 9,000+ real documents. The tasks that matter: OCR, table extraction, key
We ran 16 AI Models on 9,000+ Real Documents. Here’s What We Found. Read More »
