What's breaking now, across thousands of outlets.
Why AI Agents Need Database Triggers, Not Just Prompts When a fact changes, prompting the LLM to 'forget' it is unreliable. Instead, use database triggers to automatically close temporal boundaries ( valid_to = NOW() ) on superseded facts. Let the DB handle state coherence.
We haven't written up this one. Dev.to has the full story — the link below goes straight to it.
The 'Agentic' Trend is Masking a Deep Infrastructure Problem Most frameworks treat agents as black boxes. But if you look closely, the state management layer is usually just a flat RAG implementation.
Nota: ✋ This post was originally published on my blog wiki-cloud.co Introduction The development of artificial intelligence solutions is evolving from traditional conversational assistants to systems…
// follow-up post from ... AI Makes Bad Developers Faster Too Lars Moelleken Lars Moelleken Lars Moelleken Follow Aug 2 AI Makes Bad Developers Faster Too # ai # programming # productivity #…
Which is worth more: a company that’s sitting out Big Tech’s mega AI spending spree or a company that’s fueling it? That’s the question Wall Street has been grappling with as Apple and Nvidia traded…
AI debate in recent years has centered on whether the U.S. can develop a strategy capable of preserving an edge over China. The answer isn't looking positive.
Illustrators have spent years sounding the alarm about generative artificial intelligence startups training their models on artists' work without permission.
