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
Runway just fired a shot across Hollywood's bow. Their new AI video generator, Gen-4, claims to do what others can't: create consistent characters and scenes that actually make sense.
The tool keeps characters looking like themselves across different shots - a neat trick that's harder than it sounds. Users just feed it a reference image and some instructions, and Gen-4 handles the rest. Want your protagonist in different lighting? Done. Need them walking through various locations? No problem.
But here's where things get sticky. Runway won't reveal where they got their training data, probably because they're already neck-deep in a lawsuit from artists who aren't thrilled about their work being used without permission. The company plays the "fair use" card, but the courts will have the final say.
Meanwhile, Runway's dancing all the way to the bank. They're reportedly seeking funding that would value them at $4 billion, with hopes of hitting $300 million in revenue this year. Impressive numbers for a company that might need to keep some lawyers on speed dial.
The real drama? Hollywood's watching this show with gritted teeth. A recent study suggests AI tools like Gen-4 could disrupt over 100,000 entertainment jobs by 2026. Those aren't exactly the kind of special effects the industry was hoping for.
Why this matters:
The AI video race just got serious - Runway's making AI that can finally keep track of who's who in a scene
Hollywood's about to learn if it's easier to fight AI or join it, as 75% of companies using AI have already cut jobs
Tech translator with German roots who fled to Silicon Valley chaos. Decodes startup noise from San Francisco. Launched implicator.ai to slice through AI's daily madness—crisp, clear, with Teutonic precision and deadly sarcasm.
Chinese startup Moonshot AI released Kimi K2, an open-source model that matches GPT-4.1 performance while costing five times less. Silicon Valley's response? OpenAI delayed their planned open-source release hours after K2 launched.
Grammarly bought email app Superhuman for an undisclosed sum, part of its plan to build an AI productivity empire. With $1 billion in fresh funding, the grammar company wants to put AI agents at the center of your workday.
While Congress debates TikTok's future, ByteDance quietly built America's #2 education app. Gauth helps 200 million students cheat on homework by solving problems from photos. Same company, same data concerns, zero scrutiny.
Programming computers in English sounds impossible. But Andrej Karpathy built working apps without knowing code, using only natural language prompts. He calls it Software 3.0. These AI systems think like humans, complete with superhuman memory and distinctly human mistakes.