Kushal Dwivedi
171 posts
Kushal Dwivedi
@DevAruneshOps
Coding enthusiast 🚀 | Java rookie turning bytes into dreams 💻 | Coffee☕ |#opensource
Buenos Aires, Argentina Katılım Mayıs 2015
104 Takip Edilen145 Takipçiler
Difference between global tech community and Indian tech community:
One shares knowledge to grow people.
Other sells referrals like IPL black tickets 💀
#TechTwitter #IndianTech
English
Gradio feels like cheating.
No UI struggle. Just plug and run.
More time building, less time stuck.
#MachineLearning #opensource #learninginpublic
English
Built my first Gradio app today.
Simple. Fast. Addictive.
This might replace half my demo workflow.
#MachineLearning #opensource #learninginpublic
English
AI this, AI that; eventually, everyone will be working with APIs of random models.
Alex Sidorenko@asidorenko_
> As a dev, I feel mentally exhausted from all the ai speculation Reduce your exposure to tech twitter. The algorithm optimizes for radical takes. You consume other people's anxieties and projections
English
Kushal Dwivedi retweetledi
> As a dev, I feel mentally exhausted from all the ai speculation
Reduce your exposure to tech twitter. The algorithm optimizes for radical takes. You consume other people's anxieties and projections
English
Can someone share some stats around how many students from unis like CU, VIT, Amity, Manipal and SRM get placed at >= 10LPA (pure cash, no bloat) every year.
Is it more than ~100 people?
What is the batch size? Not the people that were 'eligible' based on attendance.
English
@Airtel_Presence Already explained everything multiple times on call kept getting ‘2–4 hours’ promises with zero action. Details shared in DM as well, still no response. Complaint raised on 28th and still unresolved. Is this the level of service from @airtelindia ?
English
@DevAruneshOps We don't want our customers to experience any concerns related to our services, Arunesh. Kindly DM us your registered contact number and elaboration on your concern, so that we can look into it immediately. Thank you, Anuj S twitter.com/messages/compo…
English
@NanouuSymeon Veryyyyyyyyy......... Even claude and gpt cant help me 😭 😭
English
@sunilgurjar01 How can you be this stupid? You’re mixing daily expenses (milk, petrol) with monthly costs (school fees) and one-time purchases (iPhone) like they’re the same thing. Aise loggg founder h bhaiiii
English
🇮🇳 COST OF LIVING IN INDIA (2026)🚨
• ⛽ Petrol: ₹110/litre
• 🥛 Milk: ₹65/litre
• 🎬 Movie Ticket: ₹350
• 🏠 Rent : ₹35,000/month
• 📱 iPhone : ₹80,000
• 🎓 School Fees: ₹1.5L/year
• 🔥 Gas Cylinder: ₹3000….see more
English
Pick your lucky number from 1–50.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
1 numbers hides a surprise! 🎁
1 Winners picked will be picked randomly in 24 hours.
Comment your pick 👇🏆
English
Kushal Dwivedi retweetledi
$45,918 profit in 24 hours💰💰
Using only:
• A Mac Mini
• OpenClaw
• One AI prompt.
→ No trading experience.
→ No coding skills.
→ Just automation.
This bot runs 24/7 on Polymarket.
The results:
• ~$50k/day potential
• Trades ETH, SOL, XRP markets
• 5–15 min market cycles
• Fully automated
Manual trading is dying.
AI trading bots are the new meta.
I’m giving away my exact setup guide for the next 24 hours.
Want it?
1️⃣ Comment “Claw”
2️⃣ Like & Repost
3️⃣ Follow @Ejaz_bashir1
I’ll DM you the guide.
English
A Salary Doesn’t make Anyone Rich
I have Created a list of
- 46 Passive Income Ideas for 2024
Just need
- Mobile / Pc
- Internet
- 2 to 4 hours a day
To get for free , Just
Retweet and reply “ Money ”
[ Must be following ]
English
English
In this week’s AI infra chat, we sit down with @seiji_________ , Distributed LLM Inference Engineer at Anyscale, to unpack how large MoE models are actually served in practice, what it looks like to work deep in the LLM inference stack & more
🕐 Timestamps:
𝟬𝟬:𝟬𝟬 Why MoE comes up in modern AI infra
𝟬𝟬:𝟮𝟯 What Mixture of Experts actually changes inside a model
𝟬𝟭:𝟮𝟰 Why expert parallelism exists (and what becomes inefficient without it)
𝟬𝟮:𝟱𝟳 When MoE helps in practice
𝟬𝟰:𝟮𝟯 How Ray Serve fits into real inference stacks
𝟬𝟳:𝟬𝟳 What a Distributed LLM Inference Engineer works on day to day
𝟭𝟭:𝟭𝟵 Where the space is headed and how to learn more
English