Midjourney founder says new AI coding tools are leaving his friends more productive — and 'extremely drained'
THE SO WHAT
AI that boosts output while burning out developers is a productivity mirage—throughput goes up, sustainable capacity goes down. Track not just velocity metrics but error rates, rework, and burnout signals if you’re pushing AI coding tools into your teams.
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Applied AINearly all retailers have now implemented AI, but many are still waiting to see business value
Retail is now a live case study in AI theater—near-100% adoption, but only half seeing ROI because legacy systems and dirty data choke the pipeline. If you own a P&L, stop greenlighting new AI pilots until you’ve funded data quality and integration work on the core stack.
Applied AIAI only creates value when it fixes the workflow
The bottleneck isn’t model quality, it’s process design—AI dropped into broken workflows just accelerates the mess. Before your next AI build, map the end-to-end workflow and decide explicitly what changes, who reviews what, and where decisions are made.
Applied AIUS cyber agency is using Anthropic’s Mythos to audit government code, sources say
If CISA is quietly pointing an offensive-grade model at federal code, AI-assisted red teaming is moving into the core of state cyber defense. Enterprises should assume the same tools will be used—by both attackers and auditors—against their own software and adjust threat models accordingly.
I left my job as a software engineer to be a baker. I joke that I threw my master's down the drain, but my choice has paid off.
A solo operator going from zero to a functioning baking business in under 100 days with AI as the tutor is a template for micro-entrepreneurship. For larger orgs, it’s a reminder that your future competitors may be AI-armed generalists, not incumbents in your vertical.