Shubham Dhal

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Shubham Dhal

Shubham Dhal

@Tennistetris

Software Engineer @sharechatapp.Ex-Quant @jpmorgan,Alum @iitkgp . Mechanical Engineer by training, do anything but mech…

Bhubaneshwar, India Katılım Haziran 2014
213 Takip Edilen101 Takipçiler
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Shubham Dhal
Shubham Dhal@Tennistetris·
Saw this on Maarten van Steen's website...
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Shubham Dhal
Shubham Dhal@Tennistetris·
@saurabhyadavz What’s the exact learning ? I don’t think Zepto tech is anyways differentiated from any other Indian startup like Zomato, Hotstar, Sharechat. Mostly better to go to a company you like and feel has good culture.
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Saurabh ✧
Saurabh ✧@saurabhyadavz·
Got a call from Zepto HR Asked my expected base, I said 40 She said max we can give is 38 At this point I had interviews going on, so I was like okay sure Then she said, "You’ll have to come to the office every day, and only if it’s some emergency and you have to go home, then you can do WFH" I was like okay that’s weird, but anyways Then I asked, "If I get an offer from somewhere else, because I already have some interviews going on, would you match it?" She was like, "NO. If you are joining Zepto, then it’s not for money but for learning". I get the whole "learning over money" thing - but expecting that after lowballing the comp and forcing daily office just doesn’t add up. I’d heard stories about Zepto’s work culture, now I understand where they came from. Didn't appear for the interview process because I had gotten a better offer and didn' wanted to work in such an envrionemnt.
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Nishant Nikhil
Nishant Nikhil@nishnik·
Stoked to join @Meta Superintelligence Lab, and excited to train better models at 🚀 speed!
steve jang@stevejang

Congratulations to @felfel @HammadH4 @keikumata and the entire @PlayAIOfficial team on their acquisition by @Meta Superintelligence Lab! All of us @kindredventures are thankful and honored to be part of their journey as their lead seed investor last year. I'm stoked for them to get all the GPUs and gigawatts they want now at Meta and continue their incredible speech model and voice agent work with Mark, Alex, Nat, and team. :) More below on their story: kindredventures.com/announcement/p…

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Elon Musk
Elon Musk@elonmusk·
😢
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Arnav Gupta
Arnav Gupta@championswimmer·
All the FAANG companies are internally piloting how to take interviews with AI-assistance turned on (i.e. Copilot etc). I predict sometime in 2026 all of them will rollout AI assisted IDEs for coding interviews. Judging on pure LeetCode solving has a 24 month countdown.
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» teej
» teej@teej_m·
Don’t host your own LLMs. Each model comes with 15 pages of config docs. If you don’t get the settings just right, the model pitches a fit. Then you have CUDA, gpus, inference servers, quantizations, finetunes.
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Jelam
Jelam@jelambhatt·
trump can remain irrational longer than you can remain solvent
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রাজ শেখর
রাজ শেখর@DiscourseDancer·
In 1956, U.S. Secretary of State John Foster Dulles declared that “Goa is an integral part of Portugal,” a statement that blatantly ignored India’s rightful claim to its own territory. 🧵
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Boston Smalls
Boston Smalls@smalls2672·
Fun fact of the day. Since Jan 1989 51.5 million jobs have been created. 50 million of them came under democrat leadership. x.com/i/grok/share/D…
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Sakana AI
Sakana AI@SakanaAILabs·
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery! sakana.ai/ai-scientist/ From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery. Here are 4 example Machine Learning research papers generated by The AI Scientist. We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project! Paper: arxiv.org/abs/2408.06292 GitHub: github.com/SakanaAI/AI-Sc… Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results. Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking. We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.
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sankalp
sankalp@dejavucoder·
me and the boys after designing data intensive applications
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Shubham Dhal
Shubham Dhal@Tennistetris·
Coffee & Systems (Study Group - Bengaluru) January 04, 2024, 4:00 PM → 5:30 PM (Saturday) - The Market RMZ Ecoworld --- Continuing from last week we explore HTTP/2 and HTTP3/QUIC. Happy reading and see you all this Saturday :) lu.ma/ob0uthwi
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Cindy Sridharan
Cindy Sridharan@copyconstruct·
Ok, Elon going thermonuclear on nativists and racists, defending the H-1B visa to *this*,degree wasn’t on my bingo card. A very pleasant surprise, but given the amount of vitriol and hatred thats been aimed at immigrant tech workers, this is extremely welcome.
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Andrej Karpathy
Andrej Karpathy@karpathy·
DeepSeek (Chinese AI co) making it look easy today with an open weights release of a frontier-grade LLM trained on a joke of a budget (2048 GPUs for 2 months, $6M). For reference, this level of capability is supposed to require clusters of closer to 16K GPUs, the ones being brought up today are more around 100K GPUs. E.g. Llama 3 405B used 30.8M GPU-hours, while DeepSeek-V3 looks to be a stronger model at only 2.8M GPU-hours (~11X less compute). If the model also passes vibe checks (e.g. LLM arena rankings are ongoing, my few quick tests went well so far) it will be a highly impressive display of research and engineering under resource constraints. Does this mean you don't need large GPU clusters for frontier LLMs? No but you have to ensure that you're not wasteful with what you have, and this looks like a nice demonstration that there's still a lot to get through with both data and algorithms. Very nice & detailed tech report too, reading through.
DeepSeek@deepseek_ai

🚀 Introducing DeepSeek-V3! Biggest leap forward yet: ⚡ 60 tokens/second (3x faster than V2!) 💪 Enhanced capabilities 🛠 API compatibility intact 🌍 Fully open-source models & papers 🐋 1/n

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kache
kache@yacineMTB·
turns out these right wing fellas are more sensitive than the left wing woke
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Narendra Modi
Narendra Modi@narendramodi·
India mourns the loss of one of its most distinguished leaders, Dr. Manmohan Singh Ji. Rising from humble origins, he rose to become a respected economist. He served in various government positions as well, including as Finance Minister, leaving a strong imprint on our economic policy over the years. His interventions in Parliament were also insightful. As our Prime Minister, he made extensive efforts to improve people’s lives.
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Alec Stapp
Alec Stapp@AlecStapp·
New all-time favorite community note just dropped
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Dmitry Shevelenko
Dmitry Shevelenko@dmitry140·
I’m an American who is gainfully employed because an Indian immigrant on a visa founded a company in the US. Thx @AravSrinivas for creating 100+ American jobs.
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Paul Graham
Paul Graham@paulg·
Some very simple math: if a country has 5% of the world's population and ability is evenly distributed, then 95% of the people who are best at any given thing will be born abroad.
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