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
Scale AI just landed a multimillion-dollar deal to speed up military planning. The Pentagon wants its operations to move at "machine speed." Welcome to the future of warfare, where AI helps generals make decisions faster than you can say "strategic advantage."
The Defense Innovation Unit tapped Scale AI, Anduril, and Microsoft for its Thunderforge program. These tech giants will bring AI-powered planning tools to U.S. Indo-Pacific and European Commands. The program promises to transform everything from resource allocation to wargaming simulations. Think chess, but with real-world consequences.
Scale AI's CEO Alexandr Wang didn't mince words. His company's AI will "modernize American defense." The military's current planning systems run on technology older than most of its recruits. Thunderforge aims to change that.
The program marks a dramatic shift in Silicon Valley's relationship with the military. Tech companies once shied away from defense contracts. Now they're rushing to embrace them.
Google dropped its "don't be evil" approach to military AI. OpenAI quietly removed its ban on military applications. The valley's conscience seems to have developed a blind spot where defense dollars are concerned.
Why this matters:
The Pentagon is betting big on AI to outthink its adversaries. But when machines help plan military operations, "move fast and break things" takes on an entirely new meaning
Silicon Valley's moral compass now points firmly toward the Department of Defense's checkbook
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.