Abhishek

stuff :

[f-lawless @izflawless]

worthy of getting added to your Linux ricing or nah?

[Abhishek @0xMesSec]

@Aditi05writes 🥳 congratulations didi

[Abhishek @0xMesSec]

Thanks for the session @srivastava_1212

[Elixir Tech Community @TheElixirTech]

That’s a wrap on our GSoC session with Diya Srivastava, GSoC’26 Contributor.

An insightful conversation, a curious crowd, and plenty to take away.

More coming from ELIXIR.

[Abhishek @0xMesSec]

@brsy_10 Kanun se uppar ho tum nahi kanun se uppar ho ?

[Abhishek @0xMesSec]

@lonelysloth_sec At this point do SGI will be better

[Abhishek @0xMesSec]

@DexterIfti @granthx @github @grok answer 😋

[Abhishek @0xMesSec]

@granthx @github GitHub Enterprises I think ?

[Abhishek @0xMesSec]

@Assass1nmarcos @Bugcrowd @Hacker0x01 @ThisIsDK999 I got duplicate on the 8k type of bug one time as I know 🫠

[Abhishek @0xMesSec]

@cherry4akuma @Bugcrowd @Hacker0x01 Congratulations bro tips for 1k$ plz 🐱

[Abhishek @0xMesSec]

@Assass1nmarcos @Hacker0x01 @bug_vs_me @ThisIsDK999 Let the platform breath bro 😋

[Abhishek @0xMesSec]

@yacineMTB Count me in

[Abhishek @0xMesSec]

Got my first bounty of $300.
Those countless N/A and dups man 😮‍💨🫠

Thanks @cherry4akuma for the methodology

#BugBounty #InfoSec #bugcrowd

[Abhishek @0xMesSec]

Got my first bounty of $300.
Those countless N/A and dups man 😮‍💨🫠

Thanks @cherry4akuma for the methodology

#BugBounty #InfoSec #bugcrowd

[Elixir Tech Community @TheElixirTech]

GSoC sounds exciting. Getting there is a different story.

This Saturday, join ELIXIR for a conversation with Diya Srivastava, GSoC’26 JSON Schema, as she shares the journey, lessons, and what it really takes to get there.

Saturday | 8 PM
Discord: https://t.co/kgbUBVvMEx

[Anime @AnimeBasee]

PEAK INCOMING 😭😭😭🔥🔥🔥

[Abhishek @0xMesSec]

Ok @elonmusk 😶‍🌫️

[Abhishek @0xMesSec]

@onirbanhere its finished

[Abhishek @0xMesSec]

@brsy_10 Yeah

[Abhishek @0xMesSec]

@vxtrtwt Congo bhaiya 🎉

[Abhishek @0xMesSec]

Next i am moving on to creating curriculum learning, harder opponents, changing dynamics, and testing policy generalization.

[Abhishek @0xMesSec]

Training a Pong RL agent from scratch. 🏓
Started with a custom physics-based Pong environment and a deterministic geometric AI that predicts the ball’s future impact position using its velocity, trajectory, and wall reflections. It was almost UNBETABLE

[Abhishek @0xMesSec]

state/action space, epsilon-greedy exploration, experience replay,target network, Bellman updates, and evaluation pipeline from scratch.
Current milestone: 65%win rate after 100K training steps against a controlled opponent.