
ChatGPT interrupts work: What is behind the recent disruptions?
Documented ChatGPT disruptions, capacity problems and original evidence while using GPT-6.1 Sol: understand the limits and protect work in progress.
Read articleUnderstanding IT. Making sense of AI development.
26 articles

Documented ChatGPT disruptions, capacity problems and original evidence while using GPT-6.1 Sol: understand the limits and protect work in progress.
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AI agents in autumn 2026: GPT-6, Claude 5.5 and Gemini, computer use, API costs, application connections and responsible human oversight in business.
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Repeated mistakes, forgotten requirements and inconsistent results: what evidence shows, and why a poor answer does not prove secret throttling.
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Why the first output tells us little about real time savings, and how developers can assess AI assistance sensibly.
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New AI subscription tiers, API prices and changing allowances compared. Which costs have risen or fallen since September 2026?
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Why AI users debate prices, allowances and predictability. Personal experiences, documented changes and the cost of completed work.
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A clear look at OpenAI, Anthropic, Google and Microsoft’s AI plans, distinguishing announcements and previews from availability and predictions.
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From AI agents to software development: How emerging AI plans could affect workflows, costs, oversight and the skills people need.
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Prepare software updates around real workflows, data changes and a workable recovery plan—not just a successful installation.
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Compare software around offline tasks, device access, collaboration and operating responsibilities—not labels or blanket cost promises.
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A green status does not rule out every failure. Respond to software outages with meaningful checks, useful logs and clear responsibilities.
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Why data exports, open interfaces and a planned supplier change matter when choosing software.
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