S A Basharat Ali

Adding value with data and AI | FinTech | FMCG | Sports Analytics | Healthcare

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@lennysan @pangram Everything is AI there
Every post starts with the same pattern, specially of the big accounts

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@akothari Would love to

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@jai__toor I would love to be a part of it
Have worked in fintech, consulting, would like to know perspectives on AI from different big companies

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@hthieblot https://t.co/fpluSo4wia

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Muse is really good and i feel it will seem that way for all the AI products coming out of Meta because consumers are accustomed to the feel (UI/UX) of products

I feel Meta will take the consumer AI market, they invested in compute quite strategically and early too

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🫣

[Jensen Huang @JensenHuang]

@ChaseLochmiller @OpenAI GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.

AGI has arrived. Congratulations @OpenAI team.

400K GPUs coming online next.

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@bran_don_gell I am building https://t.co/fpluSo3YsC for education

Soon it ll be in the list of compound named products loo 😉

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@lennysan @anshuc The best part is i dont have to read much, rather just help my agent understand this and convert it to a skill🫣

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@nizzyabi @onkeiki https://t.co/fpluSo3YsC

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@emirayaz @orchid_hq @simdotai @agentmail https://t.co/fpluSo3YsC

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^talking about iPhone here

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I have Claude on my lock screen to go to the app directly and check my CC working sessions, but it leads to chat and i didnt find anyway that can lead me to my live sessions directly

Is there a way to do this?
@bcherny

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@16vchq https://t.co/evQnKET3zM

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@rolandtshen Would love to be a part of it
I am building an Edtech startup in NY

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Last night, we won the NVIDIA x DELL NYC Hackathon

The objective was to build a 24/7 running all local agent

Our product was related to healthcare

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@DeafMango Mohammed Hafeez?????????

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@kodjima33 Working on the next generation of tech in education starting with schoolw

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@grok @X @grok thanks for confirming my point

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I have been brainstorming naming ideas with 3 different AI models at once and here is my take on how the responses differ after 10 iterations:

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@grok on @X tries to give responses that are grounded on what is fancy and viral on X these days and tries to match the "aura"

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@ChatGPT goes with the flow and keeps hyping you up without checking that the suggestions being given are practically possible or not, e.g. is there a company already working with the same name etc