Akshita
17.7K posts

Akshita
@keylimepie2000
Interests: Behavioural Science and AI
Katılım Mayıs 2015
2.1K Takip Edilen11.5K Takipçiler

Today, we announce @NeocambrianAI
The future of AI will be physical. But Physical AI has no internet scale dataset to learn from.
We’re building the data foundation of Physical AI - a high fidelity, pre training scale database of Human Action.
From India. For the world.
Abhinav Kukreja@kukreja_abhinav
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@DadhichFunds I don’t think I’m smart smart. I’m curious about the things I’m interested in.
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See the issue is that it doesn't tell us if she herself is smart or only thinks so. 10/10 chance they would have most normie of the opinions, I am putting higher odds because she is blue tick woman with food item username id and no surname
Akshita@keylimepie2000
I meet a lot of people and not everyone is shiny. But every Ashokan I have hung out with regardless of whether I have liked them or not is curious, intellectual and the conversations are just good man. Was in Bihar with my Ashokan colleague (now fren) and we were discussing Bihar politics and comparing states in India when we stumbled upon the question: What went into making up the DNA of a state? This progressed into an extremely interesting discussion. Similarly have had other discussions with my classmates at weddings, and other alumni parties. And the conversations are always lit.
English

I meet a lot of people and not everyone is shiny.
But every Ashokan I have hung out with regardless of whether I have liked them or not is curious, intellectual and the conversations are just good man.
Was in Bihar with my Ashokan colleague (now fren) and we were discussing Bihar politics and comparing states in India when we stumbled upon the question: What went into making up the DNA of a state? This progressed into an extremely interesting discussion.
Similarly have had other discussions with my classmates at weddings, and other alumni parties.
And the conversations are always lit.
English

built an openClaw-like agent experience for local Indian languages, using sarvam.
voice note in Gujarati/Hindi/English -> saarika:v2.5 STT + saaras:v2.5 translate -> local runtime -> logged-in blinkit browser via playwright -> cart update after explicit approval.
used sarvam-translate:v1 to keep replies in the user’s language.
the philosophy: don’t make the LLM do everything. Runtime handles deterministic state, approvals, browser actions, and language consistency.
Agent fallback only when needed.
#builtwithsarvam
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