Tim Cook built Apple's leadership into a monument of stability. In 2025, that monument cracked. Meta poached AI and design chiefs with $25M packages. The chip architect may follow. What broke inside the world's most valuable company?
OpenRouter's 100 trillion token study was supposed to prove AI is transforming everything. The data shows something else: half of open-source usage is roleplay, enterprise adoption is thin, and one account caused a 20-point spike in the metrics.
The New York Times sued Perplexity for copyright infringement—months after signing an AI licensing deal with Amazon. Perplexity built revenue-sharing programs for publishers. The Times declined to join any of them. Now lawyers are involved.
Engineers working for Elon Musk's Department of Government Efficiency (DOGE) are modifying software designed to assist with mass firings of federal workers, according to WIRED's investigation.
The software, called AutoRIF (Automated Reduction in Force), was originally developed by the Department of Defense over twenty years ago. DOGE operatives have accessed the software and appear to be editing its code in the Office of Personnel Management's GitHub system.
Screenshots reviewed by WIRED show Riccardo Biasini, a former Tesla engineer and director at The Boring Company, working with the AutoRIF repository. Biasini has also been listed as the main contact for the government-wide email system soliciting resignation emails from federal workers.
Federal agency firings have so far been conducted manually, with HR officials reviewing employee registries and lists from managers. Probationary employees have been targeted first since they lack certain civil service protections. Thousands of workers have already been terminated across multiple agencies in recent weeks.
The CDC experienced this firsthand. Managers carefully identified "mission critical" probationary employees to protect them from termination. "None of that was taken into account," a CDC source told WIRED. "They just sent us a list and said, 'Terminate these employees effective immediately.'"
Government workers recently received another email demanding they detail their accomplishments from the past week. NBC News reported this information would be fed into a large language model to assess employee necessity.
Why this matters:
The marriage of AI and automated firing systems threatens to accelerate government workforce reductions without human oversight.
Civil service protections built over decades could be systematically undermined through technological automation.
This represents a shift from targeted cuts to algorithm-driven terminations, potentially transforming how government operates.
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 sarcasm.
E-Mail: marcus@implicator.ai
The NYT calls David Sacks's 708 tech investments a scandal. But when America needs an AI czar, should it hire someone who's never built anything? The real conflict might be demanding expertise without exposure.
David Sacks holds 449 AI investments while crafting Trump's AI policy. The Times investigation reveals how ethics rules made this legal. The scandal isn't the conflict—it's the system that permits it.
Trump's Genesis Mission invokes Manhattan Project urgency to accelerate AI-driven science. But the executive order commits zero new dollars, claims credit for existing partnerships, and arrives while university research funding gets slashed.
Trump's draft executive order seeks to override state AI laws through litigation and funding threats, reviving a proposal Congress rejected 99-1 months ago. Republican governors and conservative senators oppose the move as tech investors push harder.