Rich Kuo (@richkuo7) header
Rich Kuo (@richkuo7) profile picture

ex-CTO $2M ARR building an open source trading app https://nitter.gq/t.co/iIz5uDsl3b

Joined January 2025
Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)Photo by Rich Kuo (@richkuo7)
A year ago I had 785 followers. Today I have 791. All I did was post and reply multiple times a day and the algorithm did the rest During this time I grew my socials to 40k followers And have had multiple videos hit 100k views 2 videos over 800k All you need is consistency and to not put all your eggs in one basket. Your ideas and content might resonate with one platform over another
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Anyone else getting literal 10 views on YouTube shorts? What is goin on
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What are you building today?
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Still need to know how to code for interviews lol
does anyone remember how to code
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depending on the context, humans take minutes to years to load context... in comparison, LLM's take second to minutes
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first one to warn everyone about cognitive overload and the cost of reviewing ai generated code instagram.com/reel/DONN7P6kw…
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reddit users all fall into a similar demographic
Replying to @richkuo7 @theo
Is it? Reddit has humanlike text. At least used to have
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Rich Kuo retweeted
Replying to @theo
its trained on too much reddit and corporate speak, it needs to train on twitch
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i wish i had stronger adhd
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you don't want 'adversarial' anything since opus 4.7, you absolutely did not need adversarial reviews adversarial review was formulated from people using non frontier models in non frontier harnesses, trying think of clever/hacky ways to improve their output quality their concept was that if you get enough mediocre LLM's to over review something, you'll catch all the missing points - and this sort of worked for non frontier models but if you use a frontier model you don't need any of this, regular code review is more than enough what you need to do is have opus 5.5 write the original task/issue then have sol validate it against the code base, checking for validity, accuracy, and functionality if you use a plan, build the plan with opus or sol, and then validate the plan with the opposing then build with opus/sol then pr review loop until you get a lgtm all of this is available in npx rk-skills
maybe a hot take but i now consider adversarial reviews mostly a waste of tokens. far better to use those tokens on empirical combined with formal verification. i have updated pstack to use the interrogate skill less, and eventually i think i may remove it altogether i have found very little value with code review in the abstract, agents tend to just get lost in the nitpicks and yagnis
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i wish more people would just build with rk-skills and not have to re-invent the wheel everytime they build something new
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If anyone wants to copy my video. It got 320k+ views on instagram. Just put your company at the end and it’s free traffic
You literally copied a movie bruh
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Does this happen because the underlying models are bad/older?
Asking my AI teacher how to spell seventeen
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pitch me you startup and your ideal SF based investor profile i'll try to put you in touch if you have something
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This was apparent in the benchmarks. Especially cursorbench
Opus 5.5 High > XHigh btw
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Bro this has to be a way to fix this
You're not a real engineer if you don't have a mystery $0.53 AWS bill coming from a rogue service in perpetuity.
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my prediction for the next few years ai will offload the intelligence cognitive abilities of 99% of humans - effects of this will be insane imaging everyone being reliant on ai to do even the most basic of cognitive decisions creativity will be the new 'intelligence' People will want non verbal emotional entertainment and engagement Humor and intelligence and verbal communication arts will be more valued
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