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Our engineering team burned through six months of AI tooling budget in about ten weeks I manage infrastructure at a mid-size SaaS company, roughly 200 engineers. Leadership pushed hard to get everyone on AI coding assistants earlier this year. The pitch was simple, faster development cycles, fewer contractors needed.By week ten we'd already blown past the compute budget that was supposed to last us through Q3. Not even close. The per-seat licensing looked reasonable on paper but the actual token consumption when you let a couple hundred devs loose on these tools was staggering. Our finance team pulled the numbers and the monthly AI spend had quietly passed what we were paying two full contract teams.I kept raising this in planning meetings and getting the same response, that costs would come down, that we just needed to optimize usage patterns. They haven't come down. We're now doing access tiers and approval workflows for tools that were supposed to make us more efficient.The wild part is watching other companies hit the same wall. Feels like the entire industry sold itself on projections that assumed token costs would drop faster than usage would scale. The math just doesn't work yet at the volumes people actually use these things. Submitted via /r/Futurology

In Europa zijn vele verschillende kledingmatenstelsels in omloop. Het Europees Parlement pleit nu voor eenduidigheid. De voors en tegens op een rij en wat zijn de gevolgen voor retailer en leverancier?

Remaining vigilant about cognitive debt and atrophy.

All Them Witches sit comfortably in their doom metal-influenced phase

US War Historian Sarah Paine on Republican Party https://ift.tt/RvxQ1FI Submitted via /r/Destiny