GyanInvert

[GyanInvert @Crackmint]

@waitin4agi_ the country foundation matters

[GyanInvert @Crackmint]

@chinmay both infosys/it services giants and kant/ias officers are correlated...they work along the way

[GyanInvert @Crackmint]

@TVMohandasPai do you know anything about AI or people who built infosys?

[GyanInvert @Crackmint]

@TVMohandasPai its true its expensive now for some advanced models but it is because of sole ignorance from indian it companies...indian it companies need to fire many old age leaders...

[GyanInvert @Crackmint]

@TVMohandasPai when things get late people start giving excuses
https://t.co/nhDmhfUocD

[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.

[GyanInvert @Crackmint]

@TVMohandasPai @RajivMessage if some people, whom you are referring to, built things doesn't mean they are always right and can't be pointed out...such mentality only degrades the future

[GyanInvert @Crackmint]

@TVMohandasPai LLMs are the fundamentals of modern AI

[GyanInvert @Crackmint]

@TVMohandasPai @NandanNilekani @narendramodi @PMOIndia @AshwiniVaishnaw nandan nandan nandan why do you always nandan nandan industry knows he is not fit for the role and the reason is himself

[GyanInvert @Crackmint]

@ManeeManjunath @NandanNilekani they wont come back for 4 lpa

[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.

[GyanInvert @Crackmint]

@MohapatraHemant thanks hemant for busting mohan's stupidity...@TVMohandasPai

[GyanInvert @Crackmint]

@alifcoder stupidy way of engagement farming
https://t.co/dFp1HEJXaF

[Alif Hossain @alifcoder]

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[GyanInvert @Crackmint]

@TVMohandasPai building the most advanced ai model requires talent retention, financial planning, and most importantly a conviction, belief, and a hunger of its need...none of this exist in indian IT people.

[GyanInvert @Crackmint]

@TVMohandasPai really? govt should exclude people from it field including you and nandan especially for sure. bring some indians back here with hefty pay. people from it like you who expect talent to work at 4 lpa and build foundational models. stupidity is at its peak.

[GyanInvert @Crackmint]

@TVMohandasPai and appointing nandan would be catastrophic for indian ai revolution he is not fit for that role and neither people from indian it services giants. @TVMohandasPai

[GyanInvert @Crackmint]

@TVMohandasPai these are just excuses we act when things got worse and so indian corporates. history is evident.

[GyanInvert @Crackmint]

@alifcoder Drive

[GyanInvert @Crackmint]

@vj_vasant_offl not god but surgeons

[Vinod Khosla @vkhosla]

I'm a technology optimist. I’ve spent four decades studying disruptive innovation, from the microprocessor, the internet, mobile phones to OpenAI. I'm certain AI will do 80% of the economically valuable work humans do today, for 80% of all jobs, faster than most believe. The question isn't whether mass underemployment arrives, but whether we have a policy framework ready. Right now we don't.

[Indian Tech & Infra @IndianTechGuide]

🚨 13-year-old Srishti Kiran from Bengaluru has climbed to World No. 1 in the Under-13 tennis rankings.