In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...
ZDNET's key takeaways Different AI models win at images, coding, and research.App integrations often add costly AI subscription layers.Obsessing over model version matters less than workflow. The pace ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...
A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them ...
Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Should we force AI to give confessions, especially when dispensing mental health advice? Some say yes, others insist no. I ...
From fake court cases to billion-dollar market losses, these real AI hallucination disasters show why unchecked generative AI ...
In 2026 (and beyond) the best benchmark for large language models won’t be MMLU or AgentBench or GAIA. It will be trust ...
Generative AI is everywhere, especially online, where it has been used to imitate humans. Chances are you’ve seen it yourself ...
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