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- 🤖 Building AI Agents with Local Small Language Models
🤖 Building AI Agents with Local Small Language Models
🦾Plus: 💰 Google is Investing Up to $40Bn in Anthropic

Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here's your curated roundup of enterprise wins, agent breakthroughs & infrastructure moonshots. 👇
📊 7 Real-World Examples: Brands Mastering Big Data
🤖How to run a self-hosted AI agent on your machine
🎙️ New Grok Voice Agent: Zero-Lag Reasoning
🤝 Meta-Amazon AI CPU Megadeal
đź§ Claude Agents Get Memory
đź’ˇ AI Tutorial:Generate a Wikipedia-like report on any topic using AI
🤖AI Tools and Data Tools to checkout

In this article, you will learn how to build a fully functional AI agent that runs entirely on your own machine using small language models, with no internet connection and no API costs required. The idea of building your own AI agent used to feel like something only big tech companies could pull off. You needed expensive cloud APIs, massive servers, and deep pockets. That picture has changed completely.
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Companies have rapidly increased their adoption of big data analytics techniques, so that hey can manage and analyze large data sets in real time. Utilizing these insights, they can understand patterns, associations, and trends related to consumer behavior and interactions.
This tutorial shows developers how to set up and use Hermes Agent, a self-improving AI tool. You'll learn to deploy it on a virtual server, connect it to Telegram, and add features like web search, voice commands, and automated daily scheduling.

Built-in memory lands in Claude Managed Agents as a filesystem-based store that persists across sessions. Early reports show 97% fewer first-pass errors, 27% lower cost, and 34% lower latency.

Today, we're excited to announce a step change in xAI's Voice Agent capabilities: Introducing grok-voice-think-fast-1.0 — our new flagship voice model.This new model excels at complex, ambiguous, multi-step workflows across customer support, sales, and enterprise applications. It is especially well-suited for high-stakes scenarios that demand precise data entry and high-volume tool calling to address the user's request.
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👨‍💻 Data Tools, Libraries
LLM Engineering by Packt: Fix Your AI pipelines: Design context-aware, reliable multi-agent systems. Register now.
Cube’s Agentic Analytics Summit 2026 is the flagship conference forecasting this future, focused specifically on the intersection of semantic layers and agentic AI. Register for the no-cost summit to learn from data leaders at companies like Brex, Jobber, and more.
TypeScript Execute is Node.js enhanced with esbuild to run TypeScript and ESM.
Llama 2
The next generation of Meta's open source large language model. Llama 2 is available for free for research and commercial use.
AI News:

Is this a heated rivalry? Google is doubling down on the AI race, planning to invest up to $40 billion in Anthropic (with $10 billion upfront) to lock in compute capacity and stay competitive. The investment promise comes after Anthropic released its latest model, Mythos, to a limited group of partners earlier this month.
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Speaking of keeping rivals closer… Meta just struck a multibillion-dollar deal with Amazon to use millions of its custom AWS Graviton AI chips, diversifying beyond Nvidia as it scales its AI infrastructure.

Tesla has started production of its Cybercab robotaxi at its Giga Texas facility. The Cybercab is a steering wheel-free vehicle central to its shift from EVs to AI-driven ride-hailing, but rollout is slow and still facing regulatory and safety hurdles.
🖥️ Mac Mini Shortage Hits eBay

Mac minis are sold out on Apple’s site, and flipped listings are showing up on eBay. The surge traces back to the OpenClaw boom and Anthropic’s April crackdown, which pushed users toward local inference.

World has unveiled World ID 4.0, a new version of its proof-of-human system designed to verify real people as AI-generated content floods the internet. The platform uses an iris-scanning device called the Orb to create a unique cryptographic identity. The company says more than 18 million users across 160 countries have already enrolled.
AI Tutorial
Generate a Wikipedia-like report on any topic using AI

Go to the STORM Research Platform and create an account.
Enter your topic in the search bar. For better results, your topic should be specific, clear, and self-explanatory.
The platform may ask extra questions like "writing purpose." Once done, wait a few minutes for your article to be generated.
Check the result, verify the sources used, and confirm the inclusion of up-to-date information.
You can click the PDF option on the bottom right corner to download it as a PDF, and scroll to the end to provide feedback.
Additionally, you can switch to Co-STORM mode to start a roundtable conversation instead. You'll find your articles and conversations in the "My Library" tab.
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