Founder: https://xitter.cf/t.co/Oimx2qEGLj, https://xitter.cf/t.co/zMZiD2uLfP & more ; ) @uncensored_ai

Austin, Texas
Joined March 2019
I last tweeted in 2023 Since then: - built top 200 ai sites in word by traffic: uncensored.com @uncensored_ai - nurtured & disciplined a group of animals into being productive members of +ve sum society ...
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sraj is a high agency lane opener typa guy
it's been a week since i joined uncensored. the initial days, 1-2, i had a lot of difficulty setting up the codebase and raising my first pr and all that,I was pulling like 10-12 hours , but i do remember interacting with my teammates and asking them, "what's your work schedule?" and their response was all the time, was what work schedule they work all the time !!! no holidays, nothing like, the team is so good, everyone is so supportive, so young !!!!, talent density is crazzzy it really pushes my ambition over the top. i've been sitting in the same chair for the last 10 hours, going to sleep now, but for some reason, i am pumped uppp. bruhhhh, let's see how my time here goes and what value i can provide. i don't think i should tag them, but let's just do it @uncensored_ai good night
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mic check 1 2 1 2
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at 4m traffic per month uncensored ai might be #1 on this list if filtered by zero-$-raised or if adjusted for $ marketing spend
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More trust More demand Higher yield More inference liquidity More volume More trust
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should i chyme in?
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don't have time to finish this thread but you get it ; )
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bout to uncensor my body
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there's a surplus of intelligence and it's not reaching the consumers
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testing < 3
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Apple announced LLM-powered keyboard for iMessage It learns how you type Major benefit to iMessage interfaces Major benefit to users of obscure vocabulary domains like crypto Expect trending & Overton-window-leading vocabulary to catch hold quicker xitter.cf/drjimfan/status/166577…
Watching WWDC, Apple actually implements the LLM-powered keyboard I mentioned 3 mo ago! The native Transformer model runs inference on-device, and learns your typing patterns. Maybe it's done by LoRA at night?
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Your AI crypto agent - you ready? Get started → langwallet.ai
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From what I'm seeing so far: @Google's text-bison:001 is a real contender to gpt-4 ~10x cheaper ~2.5x faster Similar max total token context window google: ~9.2K openai: ~8.2k In tests with identical ~4K token prompts: - Google text-bison took ~4.5 seconds - OpenAI's GPT-4 took ~14.5 seconds Yet, the outputs (commands) were identical Response structures are alike: -> google's: predictions[0].content -> openai's data.choices[0].message.content Google downsides thus far: - Poor DevEX - high friction onboarding, including bugs in their dynamically generated GUI code - Worse api monitoring options Note: I'm not referring to gpt-4 32k here (which has an absurd price per token at minimum $0.06 per 1K tokens, ~16x that of text-bison)
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Replying to @danielgross
FYI Can use kmeans clustering and/or sampling methods to generate the most salient "suggested questions" to ask about the pdf basic example of this:
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Demo -> @LangWallet Swap The easiest way to swap crypto
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consistent $ MRR growth this month zero marketing or updates in ~two months
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