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Tanmaay K
729 posts
Tanmaay K
@Tanmaay_K
building, prev @ycombinator
DEL/BLR Katılım Nisan 2022
7.5K Takip Edilen999 Takipçiler
Tanmaay K retweetledi
Tanmaay K retweetledi
this is the only way to approach modern life is by retard maxxxing primarily cuz optionality pools are so deep that deliberation has become a cost (it used to be an edge). by the time you've mapped the decision tree, the branch you wanted has been pruned.
in simple terms, most ppl just think about doing but never do. but overthinking is latency. & latency kills in environments where the reward function updates faster than your model of it.
Tony Jacob | FindaClip.com@tonjkb
Marc Andreessen explains the concept of 'Retard Maxxing' "Are you aware of the concept of the meme of retard maxing?" "A friend of mine sent me this thing and he said, 'Oh, here's your answer." "You're retard maxing.' And I said, 'I'm what?'" "And he said, 'Oh, watch these videos.'" "There's this guy on YouTube who has basically 100 videos on retard maxing." "He's like my new life coach. It's basically just like: go to work, do a good job, come home. It's fine." "Start a company, succeeds and fails, it's fine." "Have too much to eat one night, it's fine." "Ask a girl if she wants to go out with you, if she says no, it's fine." "It's the simpler form of the extreme ownership." "It's the form of it that says I don't need to take all this in on myself, I can just let it go." @pmarca @HarryStebbings @ElishaDLong @SolJakey
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Tanmaay K retweetledi
China built >40 state-backed exoskeleton data factories. Workers folding cloth, opening doors, stacking blocks, repeating each motion hundreds of times so a robot can learn what a hand already knows. No text corpus, no simulation gets you there. One of the only ways to give a machine physical intelligence right now is to pass it through a human body first.
China is treating this as shared infrastructure worth building at national scale. Whereas here in the US, we are each collecting the same data inside walled gardens.
Great read:
Divyansh Kaushik@dkaushik96
Harmonic drives. Servo motors. Rare earth magnets. Strain-wave gears. Exoskeletons worn by workers in Chinese factories repeating the same motion hundreds of times a day so a robot somewhere can learn what a hand already knows. Forty state-funded sites. Local governments providing space rent-free. New essay on why the AI competition is expanding. Link in reply.
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Natalie Lung@natlungfy
Exclusive: DoorDash launched a new app “Tasks” that pays couriers in some US markets if they submit audio and video clips to help improve AI and robotics models. Many of these tasks are completing household chores while capturing footage with a body-worn camera — data that would be helpful for humanoid robots. Instructions: scrub and rinse at least 5 dishes with your hands, hold each clean plate steady in frame for a few seconds before moving to the next one bloomberg.com/news/articles/…
ZXX
Tanmaay K retweetledi
Looks like Fintech has competition for the "ultimate business model" to monetize any type of users.
If so, who's building the embeddable digital-tasks platform?
Bearly AI@bearlyai
Uber will give its drivers in the US an option to make money by doing “digital tasks”. These short minute-long tasks can be done anytime including while idling for passengers: ▫️data-labelling (for AI training) ▫️uploading restaurant menus ▫️recording audio samples of themselves ▫️narrating scenarios in different languages The opportunity is quite larges based on fact that two AI data-labelling startups (Scale AI, Surge AI) each reached ~$30B valuations. Earlier in October, Uber — which has 1m+ drivers in the US — had acquried Belgian data-labelling startup Segments AI for an undisclosed amount.
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What will be scarce in the AGI era?
that's what will make real returns 💸
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Today we’re announcing we’ve raised $17.5 million in funding across a $15M Series A led by Chemistry and a $2.7M Seed to accelerate foundation model progress through providing frontier training data for LLMs.
When we first started Datacurve, it came from a simple realization: foundation model progress is limited not just by compute, but by data quality and complexity.
The right data unlocks new capabilities, especially in coding, where accuracy and reasoning matter most.
We’re now proud to partner with the world’s leading foundation-model labs, providing them with high-quality, complex training data that helps push the boundaries of what AI can do.
This is still just the start. Come build the future of technology with us in San Francisco: datacurve.ai/careers
Huge thanks to our incredible team and investors who’ve believed in us since day one and beyond: @garrytan at @ycombinator, @1vnzh from @cohere , @Mark_Goldberg_ from @chemistry_fund, @TheDerrickLi from @AforeVC, @forwarddeploy, @SoheilK, and @shyamalanadkat.
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Tanmaay K retweetledi
Good read on the weird book that Palantir includes in the incoming employee book bag.
@mariogabriele reviews 'Impro' after wondering "Why would a vendor to the military ask its new recruits to study the ponderings of a former associate director of London’s Royal Court Theatre?"
At the core of it, he says Impro helps you decode the status games being played in social & corporate settings, incredibly useful for a FDE to navigate the client's organisation and get to the outcome.
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Tanmaay K retweetledi
One persona to avoid while hiring for startups is the Smart Skeptic.
The ones with high IQ, great skills but low conviction.
Skeptics sound clever but they rarely deliver..
It is the believers who get results.
Skeptics see walls.
Believers find the doors by looking around the corners.
The smart skeptic is the worst kind of person to have on the team.
They tend to be influential and bring down the cumulative belief of a group.
Startups are an exercise in conviction.
Optimism is a startup's engine lubricating oil.
The belief to pull off something hard and new is a startup's asset.
Skeptics blunt these edges.
Beware.
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Tanmaay K retweetledi
As a researcher at a frontier lab I’m often surprised by how unaware of current AI progress public discussions are.
I wrote a post to summarize studies of recent progress, and what we should expect in the next 1-2 years:
julian.ac/blog/2025/09/2…
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Tanmaay K retweetledi
Greyson Lord is here! @jessicarwolf and baby are doing great.
Early NIL deal talks underway - class of 2043.
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PG (as usual) is right. I joined a founding team role at a super promising startup right after high-school, which eventually led me to building a startup and going through YC (something I always wanted to do and really enjoyed doing)
I've done more than most of my peers, but I know less about things irrelevant to building a company and have almost no community outside of tech friends
Paul Graham@paulg
Don't drop out of college to start or work for a startup. There will be other (and probably better) startup opportunities, but you can't get your college years back.
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