
AI: Our Tests Are Too Small For Super-Smart Models
Imagine a genius too smart for school grading systems. Artificial intelligence is doing exactly that with our current testing methods.
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Tuesday, September 15, 2026
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Imagine a genius too smart for school grading systems. Artificial intelligence is doing exactly that with our current testing methods.

Ever watched an AI "think" step-by-step, nodding along to its logic? Often, it finds the answer first, then invents the path.

We always talk about AIs "remembering" our conversations. But the real issue isn't what they recall, it's how much they trust what's in their digital brains.

Just when you get used to one model, another one drops. Google did it again, launching Gemini 3.6 Flash while already thinking ahead.
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While everyone chases cloud AI, IBM brings its smarts directly to your office. Their new Granite 4.2 models promise to run AI 'in-house,' keeping your data safe and sound.

Imagine an AI that, after giving you an answer, rereads it and thinks: "Wait, I can do better." This isn't science fiction; it's a new trick making language models self-correct.
It feels like a new AI concept pops up every single week. Amidst all the hype, there's one thing every language model has, but few people truly grasp.
Imagine giving precise orders to an AI, but with the secret instructions from a top-tier model. Now you can, and it might even save you a good chunk of cash.

Ever wished you could peek into what an AI model is really thinking? A new open-source tool promises to let you do just that, and even give its 'brain' a refresh.

Who would've thought? A programming language from the '70s is now chatting with the latest AI. It's an unexpected marriage of pure logic and large language models.

After some bureaucratic back and forth, OpenAI's latest model is finally here. Get ready, because GPT-5.6 is now cleared for public use.