Ideas Weave Every Narrative with AI.
The democratization narrative of AI is a necessary illusion. Underneath the rhetoric of ‘power to the people’ lies a race to build a recursive superintelligence that will concentrate absolute power into the hands of the first company that wins. Every free prompt you type feeds that machine.
Contrary to panic about AI wiping out software jobs, the opposite is happening. By lowering the cost and risk of custom software, AI is creating a massive new market for engineers in non-tech industries. The result? A decentralized tech talent gold rush, not a job apocalypse.
RelativeDB turns relational foundation models into a queryable system, allowing you to predict churn, fraud, and demand using simple SQL-like syntax. It outperforms XGBoost without manual feature engineering, effectively killing the bespoke ML pipeline.
AI isn’t coming for your job—it’s coming for your bargaining power. The 1950s chip industry used deskilling to break unions and suppress wages. Software engineers are next. The real threat isn’t automation; it’s turning skilled work into a production line, making you replaceable. History is repeating, and your salary is on the line.
The frontier model debate is a red herring. What actually determines performance isn’t the model — it’s the toolchain and validation loops around it. A well-harnessed 27B local model can match frontier APIs for specific use cases at a fraction of the cost. Stop worshipping the model and start engineering the pipeline.
Forget digital-only subscriptions. The real value of AI is turning your scattered family recipes into a tangible, heirloom-quality cookbook. Cookbook AI proves that atoms outlast bits, and nostalgia is the ultimate emotional hook. This is the shift from pure productivity to tangible legacy.
Coinbase cut AI infrastructure costs by 50% by switching to Chinese models GLM and Kimi, but the real story is how they’re now measuring employee performance by AI token spend. CEO Brian Armstrong said the company will expect more impact from employees who spend more on AI. This signals a terrifying future where your AI budget becomes your personal career scorecard, and companies start treating token efficiency as a direct performance metric.
Every AI outage is a reminder that we’ve built our productivity on a fragile foundation. When Claude goes down, so does your workflow. This isn’t about abandoning AI—it’s about demanding resilience, redundancy, and a plan B before the next blackout hits.
In the AI era, sending out 60 AI-generated resumes only guarantees you’ll be drowned out by noise. The winning strategy is counterintuitive: use AI to research and target small-to-mid-sized companies, then turn it off and send hyper-personalized, human-written messages to build genuine connections.
AI capabilities are advancing faster than organizations can adopt them. The current lack of job displacement isn’t a sign of AI’s limits—it’s evidence of corporate incompetence. When the dam of organizational inertia breaks, the junior-level hiring freeze will create a severe mid-level talent shortage in five years. The calm is deceptive.