Summary
In a post on X, @thdxr (Dax Raad) pushed back on the idea that software costs are heading to zero. He says his team's token spend is twice its payroll, so a team of 25 works like a team of 75, and he feels its output matches a pre-AI team of that size. He argues this is still a good trade because hiring 50 more people would add overhead and make a high bar harder to keep. The snippet is cut off, so the full context of the post is not available here.
AI-assisted summary based on the listed source.
What happened
@thdxr pushes back on the idea that the cost of software is going to zero: his team's token spend is twice its payroll, so a team of 25 works like a team of 75, and he feels its output matches a pre-AI team that size. His view is that this is still good, because hiring 50 more people would bring overhead and make...
Why it matters
The post suggests that AI token costs can grow to exceed payroll for at least one team, which matters for engineering leaders weighing AI spending against hiring. It is one person's account of a single team, not a measured benchmark. Readers should watch whether other teams report similar token-to-payroll ratios and how the cost of AI usage changes over time.
What this means for you
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
Signal Intelligence
Signal Strength 78%
Technical label WATCH
Public Interest 25
Category ROBOTS & HARDWARE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 18
Novelty Interest Score 70
Consequence Score 22
Curiosity Score 0
Shareability Score 44
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).
