Sanket Pathak

3.9K posts

Sanket Pathak

Sanket Pathak

@sanketpath

Career break | Ex Intern, CoS @enterpret_ai | Ex Design Manager @getpostman

🇮🇳 Katılım Ağustos 2011
654 Takip Edilen2.9K Takipçiler
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Jaytel
Jaytel@Jaytel·
What started as building a personal taste.md skill for myself, turned into building a pipeline to create any taste as a skill. The most important piece is references. This is where you should spend time. If the references suck, so does the skill. I find that references cropped tightly on details in high resolution work the best. Each image gets analyzed by both Opus 4.7 and GPT 5.5. The analysis is based on why the reference is successful as a piece of design - not what it does functionally. Using two models helps rule out biases and gaps from each. The models focus on layout, spacing, typography, rhythm, composition, hierarchy, etc. At the end, each image has: reference-01/ - opus-4-7-analysis.md - gpt-5-5-analysis.md Then we fuse them together using GPT 5.5 - but the md files are anonymized so 5.5 doesn't prefer itself. reference-01/ - fused-analysis.md reference-02/ - fused-analysis.md etc. After fusion, we have one synthesized analysis per reference. Now the goal is to combine all of those into a single rule set. This is where chunking matters. If you ask one model to combine 100 image analyses at once, the result becomes too broad. It summarizes instead of preserving the granular design rules we want. Instead we chunk the fused analyses into smaller groups. Each group gets merged into a chunk-level synthesis, usually from around 6 to 8 image notes at a time. Then one final model pass fuses those chunks into a single md rule set. Finally, using the rule set, we write a skill of concrete instructions. It enforces constraints, uses imperative wording, and avoids vague taste words.
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Sanket Pathak
Sanket Pathak@sanketpath·
@idlyupma Custom UI for search + learning, agentic payment layer, plus most things baked into the good old search UI seems like a pretty massive breakthrough in bringing AI to consumers
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Sanket Pathak
Sanket Pathak@sanketpath·
Least to say GoogleIO has lived up the hype! 🧑‍🍳
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Tibo
Tibo@thsottiaux·
How do you refer to it
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Nathan Clark
Nathan Clark@nathanclark_·
it’s in gemini, just create it in ai studio. oh, that’s for your personal google one account. for workspace you need gemini business. no, not gemini advanced, that’s ai pro now. unless you need ai ultra. oh agents? you do that in spark actually. no, not gemini api managed agents, that’s different. for coding use jules. unless you mean the agentic ide, that’s antigravity. no, that’s the old antigravity, download the new one. actually gemini cli is being deprecated, use antigravity cli. no the flash model is smarter than the pro model. unless you need pro. if it’s video, use flow. no, flow uses veo. no, nano banana is images. actually that’s in gemini now. unless you’re in search, then it’s ai mode. no, research is notebooklm. anyway it’s all very simple.
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Sanket Pathak@sanketpath·
Tibo doesn't miss a chance! 😂 Is Codex running his Twitter account?
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Swanand
Swanand@_swanand·
I need a Granola for my mind, which listening to my thoughts and sending me structured notes later.
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Lukas Kmoth
Lukas Kmoth@luke_orb·
It's time for interfaces to break out of flat land. Lately, I have been experimenting with spatial experiences supported by foundational gestures. Truly feels magical.
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Sanket Pathak@sanketpath·
Bengaluru in a bit:
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Kenneth Dsouza
Kenneth Dsouza@Kenneth·
Like how we used to user test on entry level android devices + edge connections gauge true user experience. It must be mandatory for devs at LLM orgs to use a limited tier account atleast once a month for work :p
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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.
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Suhani Ashok
Suhani Ashok@suhaniashok·
highly recommend making a small silly thing while agents are working on your work stuff. i made a lasso throwing game: yeehaw-roundup.vercel.app it's fun and easy and mindless 👢 exciting what a random idea can do with claude + gpt + vercel in just under an hour!
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avi
avi@aviaviaviii·
the sudden motivation in life to journal / do morning pages / 750 words is real, thx to second brain
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ClaudeDevs
ClaudeDevs@ClaudeDevs·
Claude Code weekly limits are increasing 50%, now through July 13. Live now for all Pro, Max, Team, and seat-based Enterprise users.
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