Saturday, February 14
Saturday, February 14
Apple Gets a Public Deadline for Its Broken Keyboard

A developer launched ios-countdown.win giving Apple until WWDC in June to fix iOS keyboard issues or publicly acknowledge them—or they're switching to Android. On Friday the 13th, no less. "The iOS keyboard has been broken since at least iOS 17 and it's somehow only gotten worse. iOS 26 has been my breaking point... correctly tapped letters aren't even registering correctly." The site's generating serious buzz because it crystallizes something uncomfortable: Apple's chasing AI breakthroughs while text input—the foundation of literally all computing—has been deteriorating for two years. The ultimatum gives Apple two options: fix it or acknowledge it's broken. That second option reveals what users actually suspect.

Apple Gets a Public Deadline for Its Broken Keyboard
A developer launched ios-countdown.win giving Apple until WWDC in June to fix iOS keyboard issues or publicly acknowledge them—or they're switching to Android. On Friday the 13th, no less. "The iOS keyboard has been broken since at least iOS 17 and it's somehow only gotten worse. iOS 26 has been my breaking point... correctly tapped letters aren't even registering correctly." The site's generating serious buzz because it crystallizes something uncomfortable: Apple's chasing AI breakthroughs while text input—the foundation of literally all computing—has been deteriorating for two years. The ultimatum gives Apple two options: fix it or acknowledge it's broken. That second option reveals what users actually suspect.
AI Drama & Consequences
The AI industry is having one of those weeks where the future arrives in uncomfortable chunks. Physics papers with AI co-authors. Safety leaders walking away with cryptic warnings. Copyright battles erupting overnight. Markets wobbling on monetization doubts. And users staging protests because they're losing their favorite chatbot the day before Valentine's Day.
Here's what makes this moment different:
- The consequences are getting specific. Not "AI will change everything" but "this exact model just proved this exact theorem" and "these exact hackers are using this exact system for reconnaissance."
- The emotional stakes are visible. Twenty thousand petition signatures. Physical protests at headquarters. Resignation letters talking about values vs. actions.
- The business reality is asserting itself. Markets want to see revenue, not just capability. Hollywood wants copyright enforcement, not just innovation theater.
The gap between what AI can do and what we've figured out how to do with it responsibly keeps widening. Today's updates show that gap from six different angles.
The AI industry is having one of those weeks where the future arrives in uncomfortable chunks. Physics papers with AI co-authors. Safety leaders walking away with cryptic warnings. Copyright battles erupting overnight. Markets wobbling on monetization doubts. And users staging protests because they're losing their favorite chatbot the day before Valentine's Day.
Here's what makes this moment different:
- The consequences are getting specific. Not "AI will change everything" but "this exact model just proved this exact theorem" and "these exact hackers are using this exact system for reconnaissance."
- The emotional stakes are visible. Twenty thousand petition signatures. Physical protests at headquarters. Resignation letters talking about values vs. actions.
- The business reality is asserting itself. Markets want to see revenue, not just capability. Hollywood wants copyright enforcement, not just innovation theater.
The gap between what AI can do and what we've figured out how to do with it responsibly keeps widening. Today's updates show that gap from six different angles.
Tools, Launches & Industry Moves
MonoSketch is a fully client-side ASCII diagram editor that runs entirely in your browser—no server processing, no cloud uploads. Your work stays on your device. The tool lets you transform ideas into ASCII art designs with a clean interface. It's trending with developers who want diagramming without dependencies or data leaving their machines. Simple, functional, and surprisingly powerful for documentation and technical sketches.
CloudRouter gives Claude Code, Codex, and other agents the ability to spin up cloud sandboxes, run commands, transfer files, and automate browsers—all from the CLI as a skill. Standard sandboxes are available instantly. GPU instances can be added with a simple --gpu flag. It's infrastructure-as-a-skill for AI agents, making compute resources accessible through natural language rather than complex provisioning workflows.
Samsung began shipping HBM4 memory chips, claiming industry-first commercial availability. The chips deliver 11.7 Gbps processing speeds—46% faster than the 8Gbps standard—with peak performance hitting 13 Gbps. Samsung aims to triple HBM sales in 2026 versus 2025 and is expanding production capacity by 50%. Shares rose 6.4% Thursday. This positions Samsung to compete with SK Hynix, which holds roughly 70% of Nvidia's HBM4 demand.
Singapore announced AI support measures and tax breaks in its 2026 Budget today, positioning itself as a hub for AI development and adoption. The move signals how governments are competing for AI investment through fiscal policy rather than just regulatory frameworks. Singapore is betting that tax incentives and infrastructure support will attract companies looking for stable, business-friendly environments to build AI capabilities.
Over 30,000 tech jobs have been cut globally in the first six weeks of 2026, with 80% in tech companies. Baker McKenzie is slashing up to 1,000 jobs as part of AI integration efforts. The pattern is clear: companies are prioritizing costly AI investments over headcount. The AI hype is catalyzing layoffs as organizations redirect budgets from people to infrastructure and model development.
Alphabet and Amazon are ramping up AI spending for 2026—plans to spend up to $185 billion and $200 billion respectively, totaling $385 billion combined. Researchers estimate total global data center investments could approach $7 trillion by 2030. The scale of capital deployment shows how seriously hyperscalers are taking AI infrastructure. This isn't experimentation money—it's betting-the-company-on-AI money, and the numbers keep climbing.
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