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.
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Understanding IT. Making sense of AI development.
AI
13 articles
The AI sprint in autumn 2026: From chatbot to agent
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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Is AI really getting worse? Why ChatGPT and Claude sometimes lose quality
Repeated mistakes, forgotten requirements and inconsistent results: what evidence shows, and why a poor answer does not prove secret throttling.
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AI pricing in autumn 2026: What really costs more?
New AI subscription tiers, API prices and changing allowances compared. Which costs have risen or fallen since September 2026?
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Same bill, less room to work? What users criticise about AI pricing
Why AI users debate prices, allowances and predictability. Personal experiences, documented changes and the cost of completed work.
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Where is AI heading? What the major providers are planning next
A clear look at OpenAI, Anthropic, Google and Microsoft’s AI plans, distinguishing announcements and previews from availability and predictions.
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The future of AI in everyday work: What could change for users and businesses
From AI agents to software development: How emerging AI plans could affect workflows, costs, oversight and the skills people need.
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Bots and AI in cyber attacks: What 32,867 failed logons tell us
32,867 failed network logons: what security logs can tell us about bots, why AI involvement is unproven and which protective measures matter.
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OpenAI is retiring Custom GPTs: What is changing and why users object
OpenAI plans to retire Custom GPTs: dates, migration to plugins, user reactions and practical checks before switching.
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AI writes the code — who ensures good software architecture?
AI in software development: architecture, modular applications, permissions, testing, code review and maintainability explained clearly.
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Artificial intelligence: the case for — and the case against
Five opportunities and five risks of AI: a personal assessment of productivity, learning, research, privacy and energy, grounded in published studies.
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AI and privacy: Who do we trust with our data?
AI privacy compared: ChatGPT, Claude, Gemini, Copilot, Mistral, Meta AI and DeepSeek. Training permissions, retention periods and practical control over your data.
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