Sherin Panikar 🇮🇳

Let's build together...

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[Sherin Panikar 🇮🇳 @SherinReal1]

@ApplesClubs Looks good, but it constantly stays there. It would be good if they had given an option to minimize this control.

[Sherin Panikar 🇮🇳 @SherinReal1]

@sconty14 True

[Sherin Panikar 🇮🇳 @SherinReal1]

@oneuios Much better than 26.5.2

[Sherin Panikar 🇮🇳 @SherinReal1]

@MacRumors Battery issue fixed😌

[Sherin Panikar 🇮🇳 @SherinReal1]

@mattythetechy1 I was struggling with battery life on 26.5.2… After installing 26.6 it’s working perfect 😌

[Sherin Panikar 🇮🇳 @SherinReal1]

@GoogleDeepMind Was building many prototypes with this. Now will be building production ready apps

[AlexC @Beeg_Brain]

🚀 Daily Robotics – June #2 is live!

Got my hands dirty tonight with SmolVLA:
✅ Wanted to try zero-shot (not possible yet)
✅ Built a tiny dataset (10 traj)
✅ Prepping fine-tuning experiments
Curious about how small models learn big tasks? Dive in 👇
🔗 https://t.co/tg8qnCg0W3

[There's An AI For That @theresanaiforit]

Stanford University is offering free online courses.

No applications, fees to pay, or textbooks to buy.

Here are 10 FREE courses you don't want to miss:

{ Thread 🧵 }

[Linux Handbook @LinuxHandbook]

Quick Linux tip 💡

Remove empty directory recursively using the find command:

find . -type d -empty -delete

[Sherin Panikar 🇮🇳 @SherinReal1]

https://t.co/Hnk56sep9H

[Linux Handbook @LinuxHandbook]

Bookmark this for your regular Linux command reference

https://t.co/80EKTLz77r

[Cognition @cognition]

Today we're excited to introduce Devin, the first AI software engineer.

Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork.

Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser.

When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted.

Check out what Devin can do in the thread below.

[Binni Shah @binitamshah]

Reverse engineering my cable modem and turning it into an SDR : https://t.co/ME5KYEiCDR

Github : https://t.co/er8jEdiUWf

[Dr Milan Milanović @milan_milanovic]

𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀?

In the last decade, we have seen a massive trend of using microservices everywhere. We were building systems for a few hundred or thousand users and wanted to know how to make a system for millions of users. This was over-engineering and needed to be corrected. Why it was wrong? Because the development lasted long and we created incredibly complex systems, hard to maintain. This is especially true for startups that must go fast and stay simple.

A recent paper by authors from Google found that most of their developers split binaries for one of the following reasons: it improves performance, fault tolerance, and abstraction boundaries and allows for flexible rollouts.

Yet, splitting applications into microservices has its challenges:

🔸 𝗜𝘁 𝗵𝘂𝗿𝘁𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. The overhead of serializing data and sending it across the network is increasingly becoming a bottleneck

🔸 𝗜𝘁 𝗵𝘂𝗿𝘁𝘀 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗻𝗲𝘀𝘀. It is incredibly challenging to reason about the interactions between every deployed version of every microservice.

🔸 𝗜𝘁 𝘁𝗮𝗸𝗲𝘀 𝘄𝗼𝗿𝗸 𝘁𝗼 𝗺𝗮𝗻𝗮𝗴𝗲. Rather than having a single bi-nary to build, test, and deploy, developers must manage 𝑛 different binaries, each on their release schedule.

🔸 𝗜𝘁 𝗳𝗿𝗲𝗲𝘇𝗲𝘀 𝗔𝗣𝗜𝘀. Once a microservice establishes an API, it becomes easier to change by breaking the other services that consume the API.

So, they proposed the following approach:

𝟭. 𝗪𝗿𝗶𝘁𝗲 𝗺𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝗶𝗰 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 that are modularized into logically distinct components. A component is a long-lived agent, similar to an actor.

𝟮. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗮 𝗿𝘂𝗻𝘁𝗶𝗺𝗲 𝘁𝗼 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹𝗹𝘆 and automatically assign logistical components to physical processes based on execution characteristics. So, if both components are in the same OS process, they are called regular method calls, but if they are co-located, calls are executed as RPCs over the network. Runtime decides whether these modules should be collocated or moved to different machines (and scaled, etc.).

𝟯. 𝗗𝗲𝗽𝗹𝗼𝘆 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝘁𝗼𝗺𝗶𝗰𝗮𝗹𝗹𝘆, preventing different versions of an application from interacting.

This approach consists of two main parts: a programming model with abstraction that allows developers to write modularized applications and a runtime for building, deploying, and optimizing these applications. They claim that it reduces application latency by up to 15x and costs by up to 9x by simplifying application management and deployment.

If you want to check the framework implementing the approach from the paper, check https:// serviceweaver. dev/.

What do you think about this approach? Does it look like EJBs or CORBA?

#microservices

[DOCGuard - Detect Maldocs in Seconds! @doc_guard]

🚨 Malicious Javascript File Evaded Most of the AV Solutions #NetSupport🚨

📌 VT Detection: 3 / 58

📁 Filename: Update_browser_17.6436.js
🔐 MD5: 1c2732211585c64719d576f600937215
🕵️‍♂️ IOCs: phinetik[.]com

DOCGuard Report: https://t.co/fCgbz5iAvP

[CNBC-TV18 @CNBCTV18News]

#SmartMoney | Over 40 lakh #Demat accounts were opened in Dec 2023 alone! Catch @_soniashenoy in a conversation with @iRadhikaGupta of @EdelweissMF as they discuss about how today the #financialawareness is much higher in the people

[Rackspace Technology @Rackspace]

Our CTO of #PublicCloud, Travis Runty, shares all the best strategies for empowering your team for success to build a cloud-savvy workforce in a new Forbes article. Dive in: https://t.co/5L8qiIGIKz 📖

#ITTransformation #EmployeeEnablement #CloudMigration

[Sherin Panikar 🇮🇳 @SherinReal1]

https://t.co/rCrphXLzP1

[Sherin Panikar 🇮🇳 @SherinReal1]

https://t.co/ySEn3GC7ms
#AWS #Azure

[Sumit Behal @sumitkbehal]

@sama Few understand this