Prakhyath

😂😂😂🤣🤣🤣🤣🤣

@MerriamWebster “But…”

affect = verb effect = noun But…

There’s no others better way of putting it🤣🤣🤣

itWillBeTheEndOfMe redd.it/1qkvttf

@arpit_bhayani Good read!!

Uber open-sourced their M3 metrics platform, and while skimming through how it works, I found an approach called LTTB downsampling. Here's what it is all about... LTTB stands for Largest Triangle Three Buckets, which is a downsampling algorithm used to query and visualize millions of time series data points efficiently. The approach keeps the visual shape of the plot while reducing the number of points required to render it. This makes the frontend efficient with fewer data points to render and less data to be emitted over the network. It works by dividing the time series into buckets and selecting points that preserve the largest visual area. So, instead of random sampling or simple averaging, LTTB picks points that maintain the peaks, valleys, and overall trend of the data. The way it does this is by considering three points at a time (previous, current, next) and calculating the area of the triangle they form. The point that creates the largest triangle gets selected. This means important visual features survive the downsampling. With this approach, the system can downsample 10,000 points to 500 and still get a chart that looks nearly identical to the original. Beyond M3, systems like Grafana, InfluxDB, and Prometheus have all adopted LTTB or similar downsampling techniques. It is super interesting that something as seemingly simple as "which points should we keep?" turns into such an interesting problem statement.

@thorstenball @championswimmer 😂😂😂

I cannot get the "fo shure!" out of my head. In 24hrs it's turned into a sickness. Every thought in my head now gets a comment by a second voice that says "fo shure! fo shure!"

@amritwt Walk.

in case you have a brain fog that makes you feel retarded, creatine might help you there

@stallion_86 @nakmentalbro ☠️

@nakmentalbro Neek em ayitadi bro nuv clg ee povu kada

@stallion_86 🥵

Mani god 🥵🔥🔥😭😭 bossuuu

@arpit_bhayani When sora-text to video-was launched, all thought, gpt-5 would probably mean agi. Didn’t live up to the hype.

So, GPT-5 was released yesterday, and there was barely any buzz. Which probably means one of these things - we're all just tired of the nonstop AI hype, or - launch didn't live up to our sky-high expectations, or - AI progress is actually starting to slow down If that's really true, then... Does that mean we get to keep our jobs past 2030? Yay!

@btr1pathi I have to warn you, there’s no going back…

Just installed Linux. What are the first 5 things I should do?

@stallion_86 Headphones teepi ra

@Prakhyath19 Harman

Interview lo help cheseki ai tools emaina chepandi guysss please retweet for better reach

@stallion_86 Mass anna sanaeswar🔥

@Prakhyath19 87 down from 100

🫠 #July

@stallion_86 Cristiano rokalbanda🐦‍🔥🔥🔥

😭😭

@nabilajamal_ Some dog owners get offended when you call their dog, dog. It’s a dog. This glorification of pets should be kept in check.

Scary shit! 🚨Woman mauled by a pet Husky in luxury apartment complex on Gurugram's Golf Course Road Dog latches onto her hand, refusing to let go...bystanders finally helped A national task force on dog safety is probably the need of the hour

@stallion_86 Pic pettu anna, fans will decide..

After careful consideration chepincha guys chala darunam ga vundi

You don’t need a PhD to understand Retrieval-Augmented Generation (RAG). It’s how AI stops hallucinating and starts thinking with real data. And if you’ve ever asked ChatGPT to “use context” you’ve wished for RAG. Let me break it down in plain English (2 min read):