Impli reveals the exact APEX method professionals use to optimize AI prompts. The article shows the complete system specification—from analyzing requests to executing optimized prompts that work across all platforms.
Web scraping has quietly become the backbone of AI training data. But legal gray areas and sophisticated anti-blocking measures make success tricky. This guide reveals what works in 2025.
Sean Grove from OpenAI says coding is dead. Instead of writing code, developers should write specifications that generate software. AWS just launched Kiro to make this real, while GeneXus claims they've done it for 35 years
Read about AI research breakthroughs, development insights, and practical applications. Learn how companies build AI apps, integrate Claude technology, and solve real problems with artificial intelligence. Get updates on the latest trends reshaping how we work with AI tools and understand their impact on business and technology.
AI companies abandon rivalry to warn: our window to understand AI reasoning is closing. Models currently 'think out loud' for complex tasks, revealing plans to misbehave. But this transparency could vanish as technology advances.
Disney Research addresses a major problem with digital humans: they look fake up close. New ScaffoldAvatar system renders photorealistic 3D head avatars with individual freckles and wrinkles at 100+ FPS on consumer hardware.
Two-thirds of UK children now use AI chatbots for emotional support, with vulnerable kids forming deep bonds with systems that lack empathy. Age checks fail, content filters break, and some kids pay the ultimate price.
Experienced developers work 19% slower with AI coding tools but think they're 20% faster. New study challenges AI's flagship use case and shows why self-reported productivity gains can't be trusted.
Japanese researchers prove AI models work better as teams than alone, boosting performance 30%. TreeQuest system lets companies mix different AI providers instead of relying on one, potentially cutting costs while improving results.
New research finds AI models often fabricate step-by-step explanations that look convincing but don't reflect their actual reasoning. 25% of recent papers incorrectly treat these as reliable—affecting medicine, law, and safety systems.
AI models ace standardized tests but fail basic tasks humans handle easily. New MIT research reveals "Potemkin understanding" - when AI correctly answers benchmark questions but shows no real grasp of concepts. 🤖📚
Anthropic launches research program to study AI's job impact after CEO predicts 50% of white-collar roles will vanish in 5 years. New data shows coding work already transforming as AI agents automate 79% of developer tasks.
New research reveals most people don't use AI for therapy—yet. Only 2.9% of Claude conversations involve emotional support, but the longest sessions hint at deeper connections ahead as AI capabilities grow.
MIT researchers monitored students' brains while they wrote essays with ChatGPT. The AI users showed weaker neural activity and couldn't quote their own work. When they switched back to writing alone, their brains stayed weakened.
Anthropic says multiple AI agents working together beat single models by 90%. The catch? They use 15x more computing power. This trade-off between performance and cost might reshape how we build AI systems for complex tasks.
AI models typically learn by memorizing patterns, then researchers bolt on reasoning as an afterthought. A new method called Reinforcement Pre-Training flips this approach—teaching models to think during basic training instead.
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