How Hackers Hide Malicious Prompts in Images to Exploit Google Gemini AI
Author(s): Harsh Chandekar Originally published on Towards AI. Imagine uploading a cute cat photo to Google’s Gemini AI for a quick analysis, only to have it secretly whisper instructions to steal your Google data. Sounds like a plot from a sci-fi thriller, …
Vector Embeddings Hit Mathematical Limits: Google DeepMind Report
Author(s): MKWriteshere Originally published on Towards AI. Why state-of-the-art search models fail on complex queries — and what to build instead Your AI Search works until it doesn’t. Image Generated by Author Using Gpt-5This article discusses the limitations of current AI search …
Multi-Agent Workflows & The Right Data Foundation for The Next Evolution of Enterprise AI
Author(s): Tobi Beck Originally published on Towards AI. Single AI agents are hitting enterprise limits, but multi-agent workflows unlock 3–5x better performance through specialized collaboration — if you solve the data foundation challenge first. Source: Image by the author While most enterprises …
Building a Multi-Agent System for Enterprise Customer Support with Lyzr and Qdrant
Author(s): M Quamer Nasim Originally published on Towards AI. Multi-Agent System Architecture Every buyer needs prompt, precise, and personalized assistance in real-time. Once upon a time, the customer experience was handled manually, by sales folks across the counter or over the phone. …
Solving Deepfakes with Traces, Frequency, and Attention!
Author(s): Shreyash Pawar Originally published on Towards AI. Introduction Think videos where world leaders say wild things they never actually did, or photos so altered you question reality itself. As these fakes get scarily realistic, spotting them becomes crucial to fight misinformation …
From Rules to Reasoning: Three LLM Roles That Complete the Enterprise App
Author(s): Sanjay Krishna Anbalagan Originally published on Towards AI. The Question (hook) Where should LLMs plug into an enterprise app — without a rewrite — and what exact jobs should they do? The answer isn’t “everywhere.” It’s only where ambiguity sneaks in. …
How I Used My Gmail Inbox to Uncover AI Agent Trends with Python
Author(s): Saleh Alkhalifa Originally published on Towards AI. A step-by-step journey from Gmail exports to uncovering the rise of AI Agents AI Agents and “agentic AI” have exploded in popularity in recent years, with milestones like AutoGPT, LangChain, and Anthropic’s MCP shaping …
Sometimes Basic Beats Agentic
Author(s): ravindu somawansa Originally published on Towards AI. Why “boring preprocessing” made our onboarding bot laser‑precise Basic beats Agentic Why this matters now Everyone’s chasing AI agents, multimodal everything, and “let the system figure it out.” But sometimes? That complexity caves in …
I Built a Local Clinical AI Agent from Scratch — Here’s How
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. How I wired GPT-OSS with custom tools to make clinical data actually usable. In my last experiment, I ran OpenAI’s new local model on my laptop and it extracted JSON from clinical notes …
9,000 Jobs Gone: Microsoft’s AI Pivot Just Got Brutally Real
Author(s): Parsa Kohzadi Originally published on Towards AI. When the world’s most valuable software company cuts 9,000 jobs in the name of AI efficiency, it’s no longer about innovation—it’s about survival. In July, Microsoft cut 9,000 jobs, citing efficiency gains from AI …
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