Updates and recent posts about SERP Clapper for Medium..

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@faun shared a link, 1 month ago

GPT-5 Thinking in ChatGPT (aka Research Goblin) is shockingly good at search

GPT-5's“thinking” modeljust leveled up. It's not just answering queries—it’s doing full-on research. Picture deep, multi-step Bing searches mixed with tool use and reasoning chains. It reads PDFs. Analyzes them. Suggests what to do next. Then actually does it. All from your phone. What’s changing:L..

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@faun shared a link, 1 month ago

From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels

Hugging Face just dropped Kernel Builder—a full-stack toolchain for building, versioning, and shippingcustom CUDA kernels as native PyTorch ops. Kernels arearchitecture-aware,semantically versioned, andpullable straight from the Hub. It tracks changes with lockfiles and bakes inDocker deploysout of..

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@faun shared a link, 1 month ago

Simplifying Large-Scale LLM Processing across Instacart with Maple

Instacart builtMaple, a backend brain for handling millions of LLM prompts—fast, cheap, and shared across teams. It’s not just another service. Maple runs onTemporal,PyArrow, andS3, strip-mines away provider-specific boilerplate, auto-batches prompts, retries failures, and slashes LLM costs by up t..

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@faun shared a link, 1 month ago

Best Practices for High Availability of LLM Based on AI Gateway

Alibaba Cloud’s AI Gateway just got sharper. It now handlesreal-time overload protectionandLLM fallback routingusing passive health checks, first packet timeouts, and traffic shaping. It proxies both BYO and cloud LLMs—think PAI-EAS, Tongyi Qianwen—and redirects load spikes or failures on the fly. F..

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@faun shared a link, 1 month ago

Hermes V3: Building Swiggy’s Conversational AI Analyst

Swiggy just gave its GenAI tool, Hermes, a serious glow-up. What started as a simple text-to-SQL bot is now acontext-aware AI analystthat lives inside Slack. The upgrade? Not just tweaks—an overhaul. Think: vector-based prompt retrieval, session-level memory, an Agent orchestration layer, and a SQL..

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@faun shared a link, 1 month ago

Why language models hallucinate

OpenAI sheds light on the persistence ofhallucinationsin language models due to evaluation methods favoring guessing over honesty, requiring a shift towards rewarding uncertainty acknowledgment. High model accuracy does not equate to the eradication of hallucinations, as some questions are inherentl..

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@laura_garcia shared a post, 1 month ago

Software Developer, RELIANOID

RELIANOID Load Balancer Community Edition v7 on AWS using Terraform

🚀 New Guide Available! Learn how to quickly deploy RELIANOID Load Balancer Community Edition v7 on AWS using Terraform. Our step-by-step article shows you how to provision everything automatically — from VPCs and subnets to EC2 and key pairs — in just minutes. 👉 https://www.relianoid.com/resources/k..

Knowledge base Deploy RELIANOID Load Balancer Community Edition v7 with Terraform on AWS

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@faun shared a link, 1 month ago

Deploy a containerized application with Kamal and Terraform

A Docker-first workflow combinesTerraformandKamalinto a lean, Elastic Beanstalk-ish alternative—without the bloat. Terraform spins up a three-tier VPC and wires it toECR. Kamal takes it from there, booting containers on a raw EC2 box: app, proxy, monitor. One script. Done...

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@faun shared a link, 1 month ago

AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in

Document databases are crucial for AI apps in the gen AI era. Microsoft's open-source DocumentDB project, based on PostgreSQL, is moving to the Linux Foundation, offering a vendor-neutral, open-source alternative to MongoDB. DocumentDB's compatibility with MongoDB drivers and open source governance ..

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@faun shared a link, 1 month ago

Measuring Developer Productivity with Amazon Q Developer and Jellyfish

Amazon Q Developer now plugs into Jellyfish. Teams get a clearer view of how AI fits into the real flow of work—prompt usage, code adoption, PR throughput. Not just surface stats. The setup pipes data from AWS S3 straight into Jellyfish’s analytics engine. It tags AI users, tracks velocity gains, an..

Did you know you can clap for someone’s content up to 50 times on Medium?

Well, you can.

And to protect you from carpal tunnel syndrome, I packaged that behavior into a little extension for Chrome.

It works like this:

https://www.youtube.com/watch?v=oN3soEz-5Z4

Open up your developer tools (right-click & choose inspect)

Then, navigate to the “console”:

And if you have a bunch of caca (that’s Spanish for 💩) in your Console you can click the little 🚫 icon to clear it:

Then:

copy the JavaScript code below
paste it into the Console area
press the Return key

and spread the clap!

(Scroll up to the top of this article before you press enter if you want to see it in action)

let clapButton = document.querySelector('button[data-testid="headerClapButton"]');
if (clapButton) {
const events = ['mousedown', 'mouseup', 'click'];

async function performClap() {
for (let i = 0; i < 50; i++) {
events.forEach(eventType => {
let event = new MouseEvent(eventType, {
'view': window,
'bubbles': true,
'cancelable': true
});
clapButton.dispatchEvent(event);
});
await new Promise(resolve => setTimeout(resolve, 10)); // Introducing a 10ms delay between claps
}
console.log("+50 Claps! Now, go join the SERP community!");
}

performClap();
} else {
console.log("Clap button not found!");
}

Want the extension?

I submitted the extension to the Chrome app store and it’s pending approval as of this writing…

But if you’re too excited to sit around when you could be clappin’ it up — you’re welcome to grab the bootleg here:

👉 https://serp.ly/@serp/serp-clapper-medium