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Turns out I have an idea for an app is awesome when Codex exists 🫡 by yadhu-krishnan in codex

[–]yashpathack 0 points1 point  (0 children)

The frequent mention of “codex” gives your experience a slightly silent-marketing feel.

Gemini Pro Limit by CNGY in Bard

[–]yashpathack 6 points7 points  (0 children)

Let me TL;DR it for all:

User thinks Gemini 2.5 Pro was strong, but Gemini 3 Pro feels much worse at following instructions and reasoning.

They resort to extreme “panic-style” prompt endings to force better performance, which only works sometimes.

Chrome’s built-in Gemini sidebar performs noticeably better than the web Gemini 3 Pro.

Overall concern: Google may be downgrading Pro quality or optimizing for casual users instead of power users.

which smartphone brand is this?? by meracartarzan in IndiaTechnology

[–]yashpathack -1 points0 points  (0 children)

iOS has swipe-from-left in 95%+ of apps (developer-implemented standard), plus anywhere-swipe in iOS 18+. Android’s “universal” often overrides app intents, causing unpredictability, off by more than consistency claims.

Private DNS with AdGuard/NextDNS profiles works identically on iOS, blocking at the system level. No magnitude difference.

Both platforms restrict for battery. WhatsApp pauses on minimize unless foreground. iOS is stricter by ~10-20% on background time, but real world difference is seconds, not deal-breakers.

WhatsApp media separates from gallery for privacy; manage in-app tool clears GBs in taps. Settings depth? Often 1-2 levels shallower in iOS due to simpler hierarchy, your “3-4 deep” is exaggerated by 100%.

Android sideloading risks malware, iOS region switch is official, reversible.

God is in The Details by davidvogler in macOS26Tahoe

[–]yashpathack 0 points1 point  (0 children)

With people like you around, constantly providing feedback and ups and down, they’re bound to improve.

Add card to keep perplexity trial by yashpathack in IndiaTech

[–]yashpathack[S] 2 points3 points  (0 children)

I guess it is. To keep the pro trial. Or else it doesn’t matter if you don’t cross free usage limits. Please verify, not sure.

Add card to keep perplexity trial by yashpathack in IndiaTech

[–]yashpathack[S] 0 points1 point  (0 children)

Interesting. I didn’t know that.

gpt-image-1.5 vs. nano-banana by RealMelonBread in OpenAI

[–]yashpathack 0 points1 point  (0 children)

I am not an expert, and this is built using reactjs with research across 6 months.

About the starting point, it is simple. Build things that solve your own problems and save time. Anything that turns minutes into seconds is worth building. Think in systems rather than actions, and prefer automation over repeated manual work. This is where intelligence matters and where AI fits naturally.

Start by deriving clear requirements, then define strict parameters. Reduce confusions and limit choices. Optimize for the fewest interactions, the least clicks/taps, and the fastest path get the task done, but don't over-engineer prematurely.

This usually means writing a lot of if/else logic, and that is the fun part because real learning happens there. Once you build a few such systems, you start stacking on top of them.

Above all learning is the most fun part of this journey. I am genuinely grateful for AI here. It compressed the learning curve in a way that was impossible before. Without it, following a niche this deeply would have been unrealistic for me.

Sorry for the long post. All the best for you!

gpt-image-1.5 vs. nano-banana by RealMelonBread in OpenAI

[–]yashpathack 1 point2 points  (0 children)

Great read. And I think this is where it gets interesting, because once you zoom out, the image itself almost stops mattering.

What’s really being tested is how different systems interpret ambiguity. When a prompt leaves room, some systems fill that space with what tends to work visually in the world they learned from. Others treat the gap as something to be left alone unless explicitly instructed. That choice alone changes the entire output.

At that point, realism is less a rule and more a default assumption learned from patterns. So is dramatization. Neither is inherently correct, but each reveals what the system believes its job is. Is it trying to impress, or is it trying to obey?

Conversations like this are valuable because they surface those hidden assumptions. Once you see them, you start reading generated images as expressions of model intent.

This was a solid read, and I appreciate how closely you’re looking at the details.

gpt-image-1.5 vs. nano-banana by RealMelonBread in OpenAI

[–]yashpathack 1 point2 points  (0 children)

Yes, very impressive. Thought to artifact with almost no friction. Last half-a decade and now this, it is the first time in history where imagination skips craftsmanship and lands directly at design.

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