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Can we fix AI’s evaluation crisis?

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 Researchers are trying to come up with new, better ways to test AI . As a tech reporter I often get asked questions like “Is DeepSeek actually better than ChatGPT?” or “Is the Anthropic model any good?” If I don’t feel like turning it into an hour-long seminar, I’ll usually give the diplomatic answer: “They’re both solid in different ways.” Most people asking aren’t defining “good” in any precise way, and that’s fair. It’s human to want to make sense of something new and seemingly powerful.  But that simple question—Is this model good?—is really just the everyday version of a much more complicated technical problem. So far, the way we’ve tried to answer that question is through benchmarks. These give models a fixed set of questions to answer and grade them on how many they get right. But just like exams like the SAT (an admissions test used by many US colleges), these benchmarks don’t always reflect deeper abilities. Lately it feels as if a new AI model drops every week, and ...

What Is Custom Software Development?

  When organizations need applications with unique features and functionality, they turn to software developers to design and create custom solutions. Custom software addresses users’ specific needs more comprehensively than traditional off-the-shelf packages.  While the idea of software tailored to your business sounds appealing, custom software development isn’t for everyone. The process can be expensive and time-consuming, and it’s challenging to convey the scope of the functionality you need. We’ll look at custom software vs. off-the-shelf solutions and help you determine if custom software development is something your business should pursue.  Custom software vs. off-the-shelf software Packaged software applications are available for nearly every computing, business, productivity and communications task imaginable.  These packages generally offer the following features.  Ease of use:  Off-the-shelf applications serve large audiences with fundamentally...

How Combining AI Testing and Manual QA Delivers Faster, Better Software in 2025

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Photo on  Unsplash In 2025, software teams across the UAE face a new reality: faster release cycles and increasingly complex applications. Whether you’re building B2B fintech platforms or mobile apps for consumers, the demand is clear:  deliver fast, deliver flawlessly . Many teams still rely heavily on either manual testing or AI-driven automation. But smart companies have found the answer doesn’t lie in choosing one over the other. It lies in combining the two . At Titani Global Solutions , we help tech leaders implement hybrid QA models —blending human expertise with AI’s scalability. The result? Better coverage, faster releases, and less burnout. 📌 Learn how one team cut test cycles by 60% using this hybrid approach: Read the full article here Why Manual QA Still Has Its Place Despite the rise of automation, human testers still provide irreplaceable value. Here’s why: Exploratory Testing : Real users don’t follow scripts. Manual QA simulates real-world behavior an...