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Introducing the Amazon DynamoDB data modeling MCP tool

Amazon just dropped theDynamoDB MCP data modeling tool—a natural language assistant that turns app specs into DynamoDB schemas without the boilerplate. It plugs intoAmazon QandVS Code, tracks access patterns, estimates costs, and throws in real-time design trade-offs...

Introducing the Amazon DynamoDB data modeling MCP tool
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@faun shared a link, 1 week, 6 days ago

Building an AI Home Security System Using .NET, Python, CLIP, Semantic Kernel, Telegram, and Raspberry Pi 4

The post details the process of creating an AI home security system using .NET, Python, Semantic Kernel, a Telegram Bot, Raspberry Pi 4, and Open AI. It covers the hardware and software requirements, as well as the steps to install and test the camera module and the PIR sensor. It also includes code..

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Forcing LLMs to be evil during training can make them nicer in the long run

Researchers built an automated pipeline to hunt down the neuron patterns behind bad LLM behavior—sycophancy,hallucinations,malice, the usual suspects. Then they trained models to watch for those patterns in real time. Anthropic didn’t just steer modelsaftertraining like most. They baked the correct..

Forcing LLMs to be evil during training can make them nicer in the long run
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@faun shared a link, 1 week, 6 days ago

Which LLM writes the best analytical SQL?

Tinybird threw 19 top LLMs at a 200M-row GitHub dataset, testing how well they could turn plain English into solid SQL. Most models kept their syntax clean—but when it came to writing SQL that actually ran well and returned the right results, they lagged behind human pros. Messy schemas or tricky pr..

Which LLM writes the best analytical SQL?
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@faun shared a link, 1 week, 6 days ago

Cursor AI Code Editor Fixed Flaw Allowing Attackers to Run Commands via Prompt Injection

XM Cyber dropped a practical guide for rolling outContinuous Threat Exposure Management (CTEM)with its platform—geared for those eyeing 2025 readiness. It dives into wiring up real-time exposure visibility, validating actual risk, and tightening up remediation across complex enterprise setups. Why ..

Cursor AI Code Editor Fixed Flaw Allowing Attackers to Run Commands via Prompt Injection
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@faun shared a link, 1 week, 6 days ago

GPT-5 is here

GPT-5 tightens reasoning and lands cleaner hits inmath,science,finance, andlaw. It outpaces GPT-4—not just wider, but deeper...

GPT-5 is here
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@faun shared a link, 1 week, 6 days ago

Manus AI Launches ‘Wide Research,’ Pitting 100-Agent Swarms Against ‘Deep Research‘ from Google and OpenAI

Manus just droppedWide Research—a swarm of 100+ AI agents, each spun up as a Turing-complete VM. They don’t follow orders. They solve massive tasks in parallel, straight from natural language prompts. Forget rigid chains of command. These agents don’t play roles—they run jobs. No hierarchies. No br..

Manus AI Launches ‘Wide Research,’ Pitting 100-Agent Swarms Against ‘Deep Research‘ from Google and OpenAI
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@faun shared a link, 1 week, 6 days ago

Anthropic says OpenAI engineers using Claude Code ahead of GPT-5 launch

Anthropic just shut the door on OpenAI, yanking access to theClaude Code APIafter spotting ChatGPT engineers poking around—likely prepping forGPT-5. Claude Codeisn’t just an internal toy. It’s a serious coding co-pilot, used in the wild by devs who want answers without babysitting a model. Market ..

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Blue‑Green Deployment in 1 diagram and 195 words

Blue-Green deployment runs two matching environments so you can flip traffic with zero downtime—and yank it back fast if something breaks. Kubernetes + IstioandSpinnakerhandle the heavy lifting. They steer traffic between versions and keep infra lean...

Blue‑Green Deployment in 1 diagram and 195 words
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@faun shared a link, 1 week, 6 days ago

Perplexity is using stealth, undeclared crawlers to evade website no-crawl directives

Perplexity AI’s stealth crawling behavior includes modifying user agents and source ASNs to avoid website blocks, highlighting the importance of transparent bot behavior...

The use of artificial intelligence (AI) in e-commerce has resulted in significant enhancements to various aspects of the customer experience, including personalization, operations, and sales.

Natural language generation (NLG) tools, powered by machine learning algorithms, have emerged as one of the key ways in which AI has facilitated these improvements. These tools can autonomously create human-like written content, such as product descriptions and website copy, thereby reducing the workload of content creators. By integrating AI with Magento 2, online retailers can reap a multitude of benefits.

MageComp’s Magento 2 ChatGPT AI PRO extension automatically generates content for your Magento 2 store. The AI-powered Magento 2 extension seamlessly streamlines your website content operations. The ChatGPT AI for Magento 2 module automatically generates multiple types of website content like product description, metadata, image ALT text and other CMS page descriptions.

The admin is allowed to choose the length of the metadata and image ALT text content and the Magento 2 plugin will generate the content according to that. The plugin also lets the admin set custom prompts for AI-powered description generation. With the Magento 2 ChatGPT AI PRO module, Magento admins can save tons of valuable time and invest that time in other strategic activities.

Why Choose MageComp’s Magento 2 ChatGPT AI Pro extension?

Connects your Magento 2 store with Open API key.
Increases your Magento 2 store’s productivity.
Generates AI-powered content with the help of the page builder.
You can easily generate SEO-rich website content in bulk.
The module allows you to choose the content limit you want to generate.
You can add content prompts for exact AI-powered results.
Generates metadata like page titles, meta keywords and meta descriptions.
Speed up your content development process.
Improves your search engine rankings with SEO-rich keywords.
Boosts your business by creating SEO-rich content for it.

For More Magento 2 Extension Visit Magecomp.Com