Arvind @arvinddotdev

22 | ai engineer @mudstack (a16z) | adding features @kubernetes oss | busy shipping products and reading papers | agents are cool, ig? arvindparekh.tech Boston, Massachusetts Joined November 2022

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Arvind @arvinddotdev

a month ago

@RhysSullivan Ahhh congratulations! One of the early users and I love it! So pumped!

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Arvind @arvinddotdev

a month ago

@shadcn Prime example of yak shaving :) parksb.github.io/en/article/32.…

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Arvind @arvinddotdev

a month ago

@KlausCodes atp just rename the subway to genspark lol, the amount of ads are crazy

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Arvind @arvinddotdev

2 months ago

@mihikadusad I got one less than my colleague. Felt more sick.

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Arvind @arvinddotdev

2 months ago

my homelab stack is growing! i love it!

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Arvind @arvinddotdev

2 months ago

if you missed france vs senegal, bro idk what to tell you the best group stage match so far

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Arvind @arvinddotdev

2 months ago

@iamdothash Bout time!

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Arvind @arvinddotdev

2 months ago

he's even started talking like claude atp 😭

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Arvind @arvinddotdev

2 months ago

"how much can you hype out your user?" claude: "yes"

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Arvind @arvinddotdev

2 months ago

Never leaving this app

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Arvind @arvinddotdev

2 months ago

ok it feels like they nuked sonnet and opus super hard. the models are behaving super dumb today. wouldn't be surprised if that was true.

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Theo - t3.gg @theo

2 months ago

Holy shit it can answer the strawberry question

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Arvind @arvinddotdev

2 months ago

whoa whoa whoa whoa!

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Claude @claudeai

2 months ago

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

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Arvind @arvinddotdev

2 months ago

@samlambert Agi?

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Sam Lambert @samlambert

2 months ago

calling everything an operating system is some 2018 shit

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it's unclear if tech people yet realize that perspectives on ai usage differ dramatically depending on if you are token rich or token poor. the idea of looping comes from a place of incredible privilege. recommending that someone who works at an ai startup with unlimited token budget try looping makes complete sense. however, that same idea told to someone with only a $2k/mo token budget would seem completely implausible. what happens when millions of people start evaluating jobs based on what their token allowance will be? what happens to the longtail of administrative paper pushers that don't adapt? what happens to low throughput artists, engineers, or even lawyers and actuaries that can't be trusted to allocate spend? every form of individual knowledge worker is going to be evaluated from the perspective of "do i trust this person to allocate tokens effectively?" there are going to be massive investments into new hiring processes. organizations will need to rearchitect their structures to find orchestrators like Peter my near term recommendation is to do everything in your power to work somewhere that trusts you to spend tokens. you're ngmi if you only have $2k/mo to play with.