One on AI, LLMs, and new technology. One on AI assistants in online interviews and exams: news, essays, and comparisons of apps such as Cluely, InterviewBee, and TechScreen.
As interview screens and study tools move toward the same audio layer, the key question is no longer what AI can hear, but when it is supposed to help and when it is making the call.
OpenAI introduced GPT-6 Sol and Luna on October 7, extending frontier capabilities into cheaper, more deployable models. Developers now get lower API costs, stronger caching, and broader availability across ChatGPT Work, Codex, and the API.
Cluely, InterviewBee, and TechScreen now package AI interview help in different ways: subscriptions, one-time packs, and quarterly bundles. The result is three distinct workflows, not just three feature lists.
Meta unveiled Muse Wonder and Muse Wonder Full on October 12, putting its latest frontier models into developer and subscriber hands for practical task execution.
OpenAI’s new audio upload feature turns ChatGPT into a stronger tool for interview, lecture, and class review. It can transcribe, summarize, and draft follow-ups from uploaded recordings.
OpenAI has added Ultrafast mode for GPT-6.1 Sol in the Responses API, with a clear focus on reducing token-to-token latency. That makes speed, routing, and cost-performance more central to model choice for interactive and agentic systems.
AI screening is becoming common, but disclosure is not keeping pace. The real integrity problem is not only what these tools measure, but whether candidates are told the rules before the first question.
Google Cloud introduced Gemini agent as a universal work assistant built to plan tasks, use tools, and finish work inside enterprise apps. The shift points to packaged execution, not just a smarter model.
Cluely’s latest feature update pushes deeper into meeting context, while InterviewBee and TechScreen show two different ways to price live interview assistance: packs or recurring limits.