This Day in AI Podcast

Am I Even Needed Anymore? GLM-5, Agentic Loops & AI Productivity Psychosis - EP99.34

212 snips
Feb 13, 2026
They unpack GLM-5’s Huawei-backed release and why cheap, coding-optimized models are reshaping the model war. Agentic loops, 200K context windows, and the trade-offs of parallel workers get debated. They explore AI productivity psychosis, rising workloads from automation, and the safety researcher exodus. There’s also talk of ergonomics, voice input pivots, and whether agent-driven workflows will redefine roles.
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INSIGHT

AI Productivity Psychosis

  • Michael Sharkey and Chris Sharkey describe a new fatigue from limitless AI capability they call "AI productivity psychosis."
  • The pressure to do more constantly leads to neglect of non-work life and mental strain.
INSIGHT

GLM-5 Shifts The Model Landscape

  • GLM-5 is a cheap, open-source frontier model trained on Huawei Ascend chips with competitive performance.
  • Its low cost and zero US-hardware dependency shift the competitive landscape for model deployment.
ANECDOTE

Early GLM-5 Agentic Loop Tests

  • Chris plugged GLM-5 into an agentic loop and found it failed in familiar ways like other frontier models.
  • Michael's early tests found GLM-5 indistinguishable from Codex/Opus on basic tasks.
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