ContentPosts from @ajax-ryzhyi-r..
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Computer Use Agents (CUAs) for Enhanced Automation

Azure OpenAI Service's Responses APIhas rolled out theComputer Use Agent (CUA)—an AI that actually uses a computer like a human, and no, you're not dreaming. These CUAs harnessmultimodal visionand AI frameworks to navigate tasks with nimble reasoning. Forget your one-trick-pony RPAs; these guys brea.. read more  

Computer Use Agents (CUAs) for Enhanced Automation
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Benchmarking a 65,000-node GKE cluster with AI workloads

GKE’s now flexes with a colossal 65,000-node cluster—a boon for AI workloads that feast on mega infrastructure. Building on their 50,000+ TPU cluster saga, GKE tackles AI workload quirks like resource juggling and node chatter. In CPU stress tests, they whipped up 65,000 StatefulSet Pods, flaunting .. read more  

Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

AI code suggestions sabotage software supply chain

Look sharp!LLM-driven toolsare fabricating package names out of thin air. In commercial models, it's5.2%. For open models, a staggering21.7%. Ideal for those up to no good and into "slopsquatting.".. read more  

AI code suggestions sabotage software supply chain
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Amazon's new AI agent will shop third-party sites for you

Amazon's"Buy for Me"AI turns shopping into an adventure. Explore the wilds beyond Amazon without ever abandoning the app. This tech genie, conjured byAmazon NovaandAnthropic's Claude, brings a few trust demons along for the ride... read more  

Amazon's new AI agent will shop third-party sites for you
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Python: Get YouTube Video Transcript From URL For Use In Generative AI And RAG Summarization

Ever tried wrangling YouTube transcripts with Python? Do it. Then crank your Generative AI’s IQ by tossing those transcripts straight intoLLMs. Voilà—you’ve got a brainier machine, serving up insight like a pro... read more  

Python: Get YouTube Video Transcript From URL For Use In Generative AI And RAG Summarization
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Claude 3.7 Sonnet vs ChatGPT 4o: A Hands-On Comparison for AWS Graviton Calculator Development

Claude 3.7 Sonnetnailed it, dazzling with primo JavaScript, killer charts, and slick CSS.ChatGPT? A tad sluggish. It needed a tune-up and some shine. But toss inClinewith Claude? Boom—instant mystery infusion. Yet, the real showstopper? Claude's knack for spewing out rock-solid, deploy-ready code. P.. read more  

Claude 3.7 Sonnet vs ChatGPT 4o: A Hands-On Comparison for AWS Graviton Calculator Development
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Beyond “5 Whys”: A Better Way to Learn from Incidents

The most important purpose of a post-incident review is to learn from incidents and improve the system. The "5 Whys" technique, while intuitive and easy to explain, may have limitations in facilitating meaningful learning from incidents. Open-ended questions in post-incident reviews can lead to rich.. read more  

Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

OTel Sucks (But Also Rocks!)

OpenTelemetry(OTel) delivers observability without handcuffing you to a single vendor. But brace yourself; it's ever-evolving, with a learning curve that rivals your favorite rollercoaster. There’s no coasting—constant updates are your new normal. With its modular design and a thriving community, OT.. read more  

OTel Sucks (But Also Rocks!)
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

Git turns 20: A Q&A with Linus Torvalds

Git 2.49rolls out the red carpet with upgrades like slicker sparse-checkout patterns and beefed-up partial clone support—just what the code wizards ordered... read more  

Git turns 20: A Q&A with Linus Torvalds
Link
@faun shared a link, 7 months, 2 weeks ago
FAUN.dev()

How to Keep Distributed Systems Consistent: Versioning vs Vector Clocks

Optimistic lockinglaughs in the face of traditional locking's sluggishness. It just checks that data remains unchanged before a write—dodging deadlocks and ditching lock overhead like yesterday’s news. Meanwhile,sequential version numbersdeliver the knockout punch totimestampswhen it comes to mainta.. read more  

How to Keep Distributed Systems Consistent: Versioning vs Vector Clocks