I Saw Google Kingfall Think : And I Don’t Think I’m Ready for What’s Coming
Author(s): R. Thompson (PhD) Originally published on Towards AI. This Isn’t a Product Launch. It’s a Glitch in the Matrix. I still remember that day — June 4, 2025. The internet blinked, briefly. For about 20 minutes, something called “Kingfall” appeared on …
What Happens When AI Agents Forget? Inside the Crisis Nobody Talks About…
Author(s): R. Thompson (PhD) Originally published on Towards AI. Why AI’s Next Leap Won’t Be From Bigger Models — But From Better Infrastructure (And Smarter Connections) 🕸️ The AI gold rush is here. Every day, headlines trumpet bigger models, smarter agents, faster …
The 3 Devices That Will Battle for Your Neck: OpenAI io vs. Humane Pin vs. Rabbit R1
Author(s): R. Thompson (PhD) Originally published on Towards AI. The 3 Devices That Will Battle for Your Neck: OpenAI io vs. Humane Pin vs. Rabbit R1 It was a late Friday night. I was deep in another rabbit hole of tech news …
Whispers of a Screenless Future: Why OpenAI’s ‘io’ May Be the First AI Gadget Worth Wearing
Author(s): R. Thompson (PhD) Originally published on Towards AI. Whispers of a Screenless Future: Why OpenAI’s ‘io’ May Be the First AI Gadget Worth Wearing No screen. No apps. No distractions. That’s not a pitch for a mindfulness retreat — it’s OpenAI’s …
Scaling Intelligence: How Qdrant’s Distributed Vector Architecture is Quietly Powering the AI Revolution
Author(s): R. Thompson (PhD) Originally published on Towards AI. The Hidden Engine of Modern AI Behind every intelligent assistant, real-time product recommendation, or lightning-fast document search engine lies a powerful but often overlooked infrastructure — a vector database. As artificial intelligence systems …
$74.5B by 2030: Why Retrieval-Augmented Generation Is AI’s Next $10B Opportunity
Author(s): R. Thompson (PhD) Originally published on Towards AI. 🚀 The RAG Revolution Has Quietly Begun Picture this. It’s late. You’re elbows-deep in deployment logs, screens glowing in the dark. ChatGPT gives you an answer. It’s convincing. It’s also outdated. You dig …
AgenticSeek: The No-Cloud, Full-Control AI Agent I Didn’t Know I Needed (Until Now)
Author(s): R. Thompson (PhD) Originally published on Towards AI. AgenticSeek: The No-Cloud, Full-Control AI Agent I Didn’t Know I Needed (Until Now) Let’s get this out of the way: I’m not anti-cloud. I’ve used all the big AI tools. Copilot, Claude, GPT-4, …
From 1% to $4.6B: How Synthetic Data Quietly Took Over AI in Just 12 Months…
Author(s): R. Thompson (PhD) Originally published on Towards AI. …When fabricated data becomes smarter, safer, and more scalable than real-world information, the AI game isn’t evolving. It’s rewriting itself. A pharma startup in Switzerland is on the brink of discovering a breakthrough …
Rewiring Enterprise Intelligence: How LangGraph + MCP Servers Power Probabilistic AI Agents
Author(s): R. Thompson (PhD) Originally published on Towards AI. 🔍 From Suez Canal Blockages to Fraud Flags — Building AI that Thinks in Probabilities 🧠 In today’s volatile and fast-evolving enterprise landscape, decision-making systems face increasing complexity and ambiguity. Business operations are …
The $0.0001 Brain: Why Thinking Small Is the New Superpower in AI
Author(s): R. Thompson (PhD) Originally published on Towards AI. What If Every Prompt You Generated Was a Liability? A pharmaceutical compliance system collapsed mid-review. The culprit? A runaway GenAI pipeline that consumed over $1,200 in API credits across just two days. All …
7 Vector Database Choices That Supercharged My AI App’s Speed by 3.6x in 30 Days
Author(s): R. Thompson (PhD) Originally published on Towards AI. 7 Vector Database Choices That Supercharged My AI App’s Speed by 3.6x in 30 Days I thought I had picked the perfect tech stack for my AI app. Here’s why that was a …
$100B and Rising: Why Vertical LLMs Are Growing 10x Faster Than General AI Models
Author(s): R. Thompson (PhD) Originally published on Towards AI. How specialized language models are transforming finance, healthcare, and law with unmatched precision When Bloomberg invested $50 million in training BloombergGPT — a 50-billion parameter LLM exclusively for finance — many questioned the …
SHAP, XGBoost, and the End of Fake References: Inside a 5-Layer Predictive Citation System
Author(s): R. Thompson (PhD) Originally published on Towards AI. Measuring and predicting citation hallucination with real-world data pipelines 🔍 When generative AI tools like Perplexity’s Deep Research or Elicit AI output beautifully structured academic references, there’s a hidden risk: those citations might …
The AI Misstep Costing Millions: Why Ignoring Graphs Might Be Your Next Failure…
Author(s): R. Thompson (PhD) Originally published on Towards AI. Why GNNs Still Matter in a Transformer-Dominated AI Ecosystem 🧠 What if your AI model misses fraud in a banking graph simply because it wasn’t built to see the edges? This isn’t hypothetical. …
Why 40% of AI Agent Failures Could Be Prevented: Inside the Predictive Engine of Manus AI
Author(s): R. Thompson (PhD) Originally published on Towards AI. Forecasting Real-World AI Agent Execution Using Interpretable Machine Learning As generative AI tools like Manus evolve into autonomous execution engines, we move from prompt-based interaction to outcome-based evaluation. This represents a fundamental shift …
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