Cognitive Architectures of AGI: 7 Patterns That Transform LLMs from Oracles into

<p>You opened ChatGPT before Slack this morning.<br /><br /> Not for anything complicated. Just to figure out how to begin.</p> <p>That small move is already changing what

<p>57% of organizations estimate their data isn't AI-ready. General-purpose LLMs handle broad tasks well but hallucinate on specialized queries, miss domain jargon, and can't

<p>Large Language Models (LLMs) are quickly becoming a new interface layer for interacting with data. Instead of dashboards or SQL queries, users now ask questions in natural

<p>Most "multimodal" AI products today are really a relay team. One model plans, then hands the job to an image model, a video model, a detector, or a robot policy. Reka's new

<h2> 1. The Starting Line: The Last Non-Reasoning Flagships </h2> <p>GPT-4.5, DeepSeek-V3, and Claude 3.5 Sonnet share something that has nothing to do with benchmark scores: they

<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until

<h1> Static Analysis for LLM Prompt Security: A Methodology for Pre-Deploy Vulnerability Detection </h1> <p><em>How applying SAST principles to LLM prompt strings catches security

<p>Large language models are incredibly powerful, but they are not automatically deterministic.</p> <p>Ask the same question twice and you may get slightly different answers. Ask