DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Not all prompts are created equal. You can save a bundle on token costs by routing your simpler prompts to cheaper models.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

I had Gemini and Claude write my email replies - but only one sounds like me ...

My smart home camera alerts used to be useless, but now they tell me what actually happened ...

Qwen 3.6 27B actually gave me better answers in basically every test.

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

The Gaslight macOS malware from a North Korean cluster doesn't bypass AI analysis platforms yet, but its 38-message prompt injection cascade makes the direction of travel clear. Here's why this ...

Intelligence is becoming abundant, but understanding is becoming scarce. The gap between them is where the durable advantage ...

"If we improve the code and we can all benefit from it, it's good for everyone," says Fenris's Ben Hunter, as he talks ...

But also, cloud computing is for everyone, but not for every organisation’s IT budget where (for example) AI token usage ...

Not all prompts are created equal. You can save a bundle on token costs by routing simpler prompts to cheaper models.