Dhawal Yogesh Bhanushali

[Dhawal Yogesh Bhanushali @imkin]

Networking means meeting people, talking to peoole, making connections. Not a list of he is useful and he is not.

[Dhawal Yogesh Bhanushali @imkin]

@ranaharshraj7 @NVIDIAAI whats the role?

[Dhawal Yogesh Bhanushali @imkin]

@cvkrishnan This is exactly the reason I called out Bloomberg for misreporting. The conditions of IP were not in favor of Sarvam, hence the rejection.

[Dhawal Yogesh Bhanushali @imkin]

@wolfcj0 @brahma_4u Following his account on x 😅

[Dhawal Yogesh Bhanushali @imkin]

Isko mute Kiya toh bhi roz dikh jaata hai.

[RedboxGlobal India @REDBOXINDIA]

CHINA ELIMINATES 12,000 ‘OBSOLETE’ UNIVERSITY DEGREES IN PUSH TO PREPARE FOR THE AI ERA

CHINESE UNIVERSITIES SCRAP 12,000 DEGREE PROGRAMS AS AI RESHAPES JOB MARKET DEMANDS

[Dhawal Yogesh Bhanushali @imkin]

@brahma_4u You cannot ask the consumer to change. A company/product/brand needs to change this. if the babu system is resolved our companies will get more opportunities than not.

[Dhawal Yogesh Bhanushali @imkin]

@UnlabelledGenZ In my whole career I have seen that the people considered top have already peaked, and it is hungry and giving folks to build.

[Dhawal Yogesh Bhanushali @imkin]

@rohit_negi9 Attention is all you need bro.

[Dhawal Yogesh Bhanushali @imkin]

@HarveenChadha We need more fabs.

[Dhawal Yogesh Bhanushali @imkin]

@sriramk Sriram why would this same tech be ok with US citizens. Don't malicious parties have workarounds to get access?

[Dhawal Yogesh Bhanushali @imkin]

@ranaharshraj7 Mereko chakkar aaraha hai to hear that they rejected you :P

[Dhawal Yogesh Bhanushali @imkin]

@brahma_4u toh samjhaoo kya karein :P

[Dhawal Yogesh Bhanushali @imkin]

@TVMohandasPai He didn't have the cashpile that infy had.

[Dhawal Yogesh Bhanushali @imkin]

@siddarthpaim You don't need PhD and Big Researchers always. They give opportunity to everyone who says they want to try and that's their secret.

[Dhawal Yogesh Bhanushali @imkin]

@aakrit Cracked is the keyword. 😅

[Dhawal Yogesh Bhanushali @imkin]

This is because India does not make these chips. Unfortunately everything being dollarized becomes significantly expensive. You start from basic materials to highly end datacenters everything is priced in dollars. You cannot start from the middle and make it affordable.

[Hemant Mohapatra @MohapatraHemant]

To train a GPT class 1T model from scratch - including failed runs, data acq+clean+rlhf, post-training, team/people will likely req $250M of compute on an aggressive 3-4mo schedule (i.e. more reserved GPUs), $500-600M all-in IF you do a dense one. MoE + fp8 will cut costs by 1/10th depending on how many active params you have. If you want SOTA however, the budgets go significantly higher on test-time compute, post-training RL, and data/synthetic generations..and v. high on talent. Maybe $2-4B all-in. After that comes serving the model. The talent is key to get to SOTA/beat it - and then you have to ensure this is useful enough to have inference vol over time - for which the capital will come if there is usage / TAM. So this is not as much about raising $50-60B, or raising it all at once as the OP says - we are investors in mistral, sarvam, reflection and anthropic - and they all scaled capital over time as models got adoption, but the early bottleneck is more on talent + GPUs at that scale where you can do interesting things.

[Dhawal Yogesh Bhanushali @imkin]

@knowShubhangi @aaishika @kaiwalya_ @toukir_Indian @vedantstwt @VARhimank Too expensive

[Dhawal Yogesh Bhanushali @imkin]

@Porus_system @RShivshankar I know right. we have something from ages and still need an israel defence term to popularize ours

[Dhawal Yogesh Bhanushali @imkin]

@aparanjape @SpaceX @elonmusk Its still not clear if SPCX will sustain the IPO price.

People are being pushed not to sell for....