I’m sure some Adblock addon could do it but at the browser level would be preferred. A browser vendor that just proactively does security and “correctness” tweaks to live sites would actually be in my interests as a user

Looking at your solution, if i understand it, is instead of decreasing the inventory count for each sku as orders are processed, you are comparing the current warehouse quantity against the sum of all carts to see if there's availbale quantity.

You'll have to also include the sum of all completed orders so far.

Honestly seems almost worse? Arn't you trading contention on a single counter (inventory) for a large read across all pending and completed orders? Even indexed you're ingesting a ton more data? And you'll still need a lock here as you have to ensure two orders do this check at the same time.

Naive design

- Single inventory row per warehouse sku - All orders compete on a lock for all inventory sku rows in their order to deduct/claim their items

Shopify design

- Unroll warehouse inventory to thousands of rows per sku - Order processing races to find sufficient unlocked rows for all items in order - If insufficient rows are found then orders block behind slower "restock" process that creates more rows

Your design

- Warehouse inventory row is static/read-only (restocking out of scope for now that's fine). - Order processing computes the sum of all completed orders to ensure there is sufficient quantity - This would have to be under a lock as well, otherwise two or more racing orders will think there is quantity left.

So sounds like in your solution, you still have a single point of contention for who is computing the sum of completed orders, and while holding that lock you are doing a sum of all completed orders for each sku in your order. That sounds... worse?

That’s a bold overconfident statement. Cart abandonment is real. People never clear their carts they just walk away

Shopify purposefully chooses to do it at payment time because doing it earlier results in lost sales as people “reserve” items and then walk away causing other to see out of stock and then also walk away

Whoever puts up the money first gets the item

That’s the design constraint they chose you can’t just say “their solution is wrong because they solved the wrong problem”. Each design is a different user experience and I think it’s safe to say they chose which experience they want consciously.

Sometimes it feels like I'm just being asked to install a real linux distro inside my linux distro so I can actually do things. Here's you nice shiny desktop and app store! Oh you want to do more than browse the web? Better install linux again in a VM.

Maybe i'm just stuck in legacy paradigms, but I kind of like just booting IntelliJ and picking the project i'm on today.

Or sometimes I want to move stuff between projects i'm working on, that's a lot easier if my one IDE instance can hit them all at the same time.

It's not different than when coding by hand, often we take shortcuts by hand that we then have to pay for later. It really just becomes a judgement call on when to stop prompting new features and start service what you have.

I think with AI and vibecoding its tempting to assume the output is good and chase the dopamine hits of more features, more features, more features, but eventually you get stuck.

That being said AI is also a great tool at paying down tech debt. It's great at helping you read a codebase and can be great at making the mechanical changes you want. And I think there is some truth to the story that newer models will be able to pay down debt (fix the slop) of older models. But its all shades of grey, newer models are better than older ones, but can I emit slop with 5.6 faster than 5.7 will be able to fix it in the future? Nobody knows.

It's not like human projects are devoid of bad code, its all tradeoffs and shades of gray. But to be honest I haven't written a line of code by hand in a while.

Yes you use the right tool for the job.

But if the job requires the best intelligence you can get with an LLM, then you use that.

Taking as an assumption that the quality of your product is a function of the quality of the inference you are using: if you use an inferior model because "what if it gets export controlled again" and your competitors don't, then your competitors are likely to win.

If you don't need frontier models for you job then this is all moot, but the thread started with

> You cannot build a business critical function on top of American SOTA frontier model

Which is silly. HN likes to roleplay bringing everythgin "business critical" in house because sometimes vendors mess up. Self host, don't use the cloud, run open models locally, built redundant supply chains in case of another covid, etc etc. Sometimes the risk is real, but most of the time the risk is rare and the cost of an interruption event is less than the cost of bringing everything in house or using lower quality vendors "just in case"

Beats which model in Claude? Whenever a "benchmark" doesn't put precise model numbers in their headlines I am immediately skeptical. Either they don't know the difference (bad) or they are benchmarking against weaker models (misleading, also bad).

It's like when studies say "AI is bad at X" and they used GPT-3.5 in current year.

But if you have such a breakthrough could you not also apply it and run 200T models on todays datacenters?

It's a shame too, I feel like the underlying OS has some really good engineering in it, but the layers of cruft and anti-features on top make for a poor overall product.

98 good

ME bad

XP good

Vista bad

7 good

8 bad

10 good

11 bad

When 12 comes windows will be tolerable again.

Why?

For a typical user today’s software isn’t particularly deterministic. Auto updates mean your software is constantly changing under you.

Come on. Yeah they're not trivial but they've been done numerous times. There's been chess programs for almost as long as there have been computers. Checking legal moves is a _solved problem_.

Detecting valid medical advice is not. The two are not even remotely comparable.

Also lots of ads prey on people with worse impulse control who bankroll the rest of us who don't click ads. Similar to how casinos are bankrolled by the addicts at the slot machines or many games are bankrolled by the addicts spending all their savings on in game items.

Doesn't make me feel warm and fuzzy.

Plus there's something just aesthetically pleasing about an ad-free experience. I started paying for youtube premium to avoid ads and I must say its a much nicer experience.

That being said, if this app could convince cities to also be used for payment that would be a game changer. Uber for public transit would really remove so much friction from using transit.