Former 11 year old
Joined May 2025
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- Following57
- Followers483
- Likes7.2K
Vikram Aditya retweeted
Here's my first of many (shit)posts on X:
"I'm thrilled to announce that I have spent nearly all of money, leaving my bank account in a crippling state.
This amazing experience afforded me great skills such as excessive expenditure, inflated lifestyles and a lot more."
Vikram Aditya retweeted
minecraft, but the animals have opinions.
I built a mod that lets me actually talk to them. Different voices, different personalities, and they react to what’s happening around them.
Voices by @FishAudio Drama 3.
Vikram Aditya retweeted
this is so true, if your motivation to travel is to escape the crisis of your life, its only going to make it worse
escaping the reality doesn’t make the reality go away, better just face and fix your pathetic lives
however i still feel travelling and meeting new people unlocks/stimulates different parts of your brain which in turn gives you a better framework/perspective to shape your life so its all about your intent
Vikram Aditya retweeted
FOSS FORGE 2.0 by UFC (USAR FOSS Club) is live! 🚀
₹5,00,000+ prize pool
Real-world challenges, not hackathon PS
CTFs, security, AI/ML, automation, web & more
Quiz + leaderboard shape your challenges
Register: unstop.com/o/2qr951x
Details: fossclub.tech/foss-forge-2
Vikram Aditya retweeted
You can skip all the parties, all the conferences, all the press, all the tweets. Build a great product and get users and win.
Vikram Aditya retweeted
500+ registrations already, in less than 48 Hours
It’s not just an event but a community now
Hosting an event is not just about numbers but seeing the growing interest and growth is amazing
And we’re just getting started💜
24th Oct, New Delhi
Register: luma.com/nkuun44n
Vikram Aditya retweeted
We brought @FishAudio to India 🇮🇳
And we're starting with Delhi.
Fish Audio's first-ever India community event. 💜
New model, Free credits
3-hour Build-A-Thon.
Food + networking.
Register: luma.com/nkuun44n
Come build something with us.
24th Oct. New Delhi.
Vikram Aditya retweeted
Hiring a Growth & Distribution Associate for a Delhi NCR loan advisory business
📍 Karol Bagh, Delhi - full-time, onsite
💰 ₹20–25K fixed + uncapped incentives
Focus: finding and reaching borrowers/businesses with ₹1 Cr+ loan requirements
Reposts, shares and tags appreciated
Vikram Aditya retweeted
Everyone says learn inference, learn CUDA,learn ML
But almost nobody tells you exactly what to learn, how to learn it, or how to know whether you’ve actually learned it.
Introducing Trentorch.com a free, open-source platform to learn and practice Machine Learning, CUDA, and inference through hands-on coding.
Instead of just watching lectures or reading theory, you’ll:
• Learn the theory behind each concept
• Follow step-by-step implementation examples
• Solve coding challenges based on what you learned
• Implement algorithms from scratch, from foundational ML to Inference and CUDA kernel
• Practice problems in a Codeforces-style environment
• Get new Problem of the Day challenges with ratings
The goal isn't just to teach you how to write the code.
It’s to help you understand what your code is actually doing underneath.
We’re building Trentorch because advanced education shouldn’t be locked behind expensive subscriptions.
Money shouldn’t be the barrier to learning ML, inference, or CUDA.
A free alternative to platforms that charge students heavily every month.
signup and start solving problems now
Trentorch.com
Vikram Aditya retweeted
Our system paper is accepted at @emnlpmeeting @SHROOM_ST 2026, the shared task on hallucination detection in VLMs, hosted at the UncertaiNLP workshop
The task: given an image, a prompt and a VLM answer in EN/FR/IT/ZH, mark every hallucinated character span, give it a probability, and label it (invention, mischaracterization, OCR, miscounting, other).
Thread 🧵 1/4
Vikram Aditya retweeted
So finally implemented k means clustering lloyd's algorithm in pure C for my vecDB project
Vikram Aditya retweeted
Maybe understanding what you mean isn’t enough.
I spent the last few weeks testing what happens when semantic search meets exact medical terminology.
The result was hybrid search: dense for meaning, sparse for precision.
Built with @qdrant_engine. Published via @towards_AI.
Vikram Aditya retweeted
There is a lot of hype around putting the WAL on object storage.
However, for low-latency systems, e.g. OLTP databases, object storage is a suboptimal primitive for the WAL:
(1) PUTs are expensive for small WAL writes [bytes/$].
(2) Object stores are optimized for throughput, not latency, with write latencies often around 10-50 ms.
Because every transaction must wait for its WAL record to become durable, every transaction inherits that latency.
This points to a missing storage primitive.
In our (@maxikuschewski @melhindiCS @viktor_leis) latest accepted research paper at VLDB, we looked at how to close that gap.
