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Should you use raw LLM APIs or Agent frameworks?
In the real world, AI is ~30% of the work.
The other 70% is memory, tool orchestration, retries, observability, and guardrails ⚙️
That’s where frameworks matter -
https://t.co/QkPIuh6f7B
Everyone’s building AI agents.
But how do we test if they actually work?
Benchmarks like GAIA 2 are the new way to find out — not by asking questions, but by giving agents real jobs. 👇
GAIA 2 isn’t alone — AgentBench, Bamboo, and ARE-based forks are appearing too.
They’re shifting evaluation from “Can it answer?” → “Can it operate reliably?”
That’s August in a nutshell; a mix of frontier models, open-weights, voice, image and code. Which one excites you most?
Talk to Newtuple to get your AI ambitions off the ground https://t.co/HVI9Tn5QO3
August was a busy month in AI. Big players and open-source alike shipped models across text, image, coding and even real-time voice. Let’s run through what happened ⬇️