The real reason they keep saying AI will take your job
In a Nutshell
Token budgets and leaderboards from Silicon Valley figures like Daario Emod push a dystopian anti-human agenda, hyping AI job replacement to terrify workers into accepting 20-30% wage cuts while AI fails to deliver reliable productivity. In reality, AI creates extra cleanup work, doubles workloads without value, and serves corporate control and investor narratives rather than genuine efficiency—exposing the 80/20 rule where LLMs handle easy tasks but flop on precision. Workers should demand truth-telling, doubled salaries, and focus on quality over AI slop to counter the hype.
These notes were generated by AI and may contain inaccuracies.
There is a cancer spreading called the token budget, one of the most dystopian things from Silicon Valley. Daario Emod has a dashboard alarming every time a 22-year-old gets a job; he wants zero humans employed. These people aim for AIs employed instead.
Daario goes on news saying humans will be jobless, the best marketing pitch. This terrifies laborers, lowering labor prices: "You're not even going to have a job in 3 years, so take whatever pay now. Hold on because no other job coming." Wages drop ~30% in next couple years, freeing corporations to spend savings on Anthropic. Every lost job means Anthropic money. Ecosystem loves AI-working narrative for leverage and investor appeal, though AI isn't working inside.
Need more truth-tellers: talk if AI works in your company. Spill beans on YouTube, TikTok about company AI use and failures. Bull story great for capitalists; workers lack unified front, just panic. Not anti-capitalist, but AI hits close. Humans way more valuable than AIs; salaries should double. Capitalists spook into less pay or no raises: ask for raise, they say "AI could do your job," leading to accepting 20% pay cut.
Facebook has token leaderboard: produce slop at ridiculous pace, burn company money or seem unproductive. Inverse relationship: top leaderboard means zero code reviewed. Employer's dream after failed lines-of-code (nerds said less better) and screen monitoring. Perfect proxy for narrative, investor image, employee control. Worse than China.
Token budget/slot budget not making productive; creates second job paid less. AI increased workload: clean up slop. Promised no work, now double time. Nvidia's Jensen: not spending $250,000/year/employee on tokens means unproductive.
Need honesty. Dax, Open Code founder, tweeted many say AI productive while they can't figure it out. Nimble startup can't; Fortune 500 with 80,000 employees over 40 time zones have no idea. AI is unreliable autocomplete, imprecise; more precision needed, less useful (Bitar Lesson, pun on Bitter Lesson: more precise needed, less useful AI). LLMs approximate language approximating intent, then code/art/emails. Infinite wall: guide but never reaches, 80/20 rule—80% easy, last 20% human.
Slot budget pushers lose. Focus slow, quality, customer wants—AI doesn't help, misleads if over-relied. Initially thought negative AI views outdated fast, but takes more accurate over time, more waking up.
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