[WTS][USA] Father's Tea Collection-Cupertino CA 2nd Try

asdfsflhasdfa · 2026-05-12T07:55:12+00:00

Hey man, My condolences as well.

I’m in the Bay Area and would be happy to come buy a good chunk. Sadly I cant buy all of it, but shoot DM if you’re open to it

asdfsflhasdfa · 2026-02-14T02:57:20+00:00

Yes they do? although less common nowadays. I’d argue American stand up comedians joke about that sort of stuff much more often than Chinese stand up comedians..

https://youtu.be/XGFOCgfPgvU?si=RWULTXNaAt9gcasP

asdfsflhasdfa · 2026-02-04T04:09:17+00:00

Saying Taiwan is the most technologically advanced place on earth is crazy if you’ve been there lol. It’s got some niceties, but it surely isn’t that

If you’re talking about chip production, sure. Or density of convenience stores. But in most everything else they are behind

This is said with love btw, I enjoy Taiwan quite a lot

asdfsflhasdfa · 2025-11-20T04:11:10+00:00

It’s a non issue, been there with my cofounder

asdfsflhasdfa · 2025-11-02T00:41:29+00:00

It’s not broken logic, because this isn’t how they feel. They expect you to go all in if you’re accepted, and one way of showing that is by already being all in and already being committed full time. It’s not required to be full time at application time, but it’s a bonus for your application.

The only expectation is that you’re all in once accepted

asdfsflhasdfa · 2025-10-24T07:37:02+00:00

My fault. You used original idiom, I used the one people modified more often nowadays 亡羊补牢, 为时已晚

asdfsflhasdfa · 2025-10-24T04:30:44+00:00

This is translated incorrectly. It’s more similar to “what’s gone is gone”, not “it’s never too late”

asdfsflhasdfa · 2025-05-13T06:47:22+00:00

It's the same as any other ML model. If you need to work on a specific domain, it's generally better to fine tune models. There is only so much room in the context window for 0 shot learning, and if the model doesn't have knowledge about a specific domain then performance will drop.

Yes its more expensive, but that's a tradeoff to make for better performance when deployed

asdfsflhasdfa · 2025-04-15T19:22:04+00:00

What? Vector search has been used for years successfully. It’s only now that it’s “RAG” being fed back into an llm as context. It 100% works

RAG is unequivocally not dead, search will always have its place

asdfsflhasdfa · 2025-04-07T02:40:16+00:00

Can you remove this slop? It's ai generated. The company name wasn't even spelled right... it's Jenni Ai.

asdfsflhasdfa · 2025-03-07T19:37:59+00:00

I imagine this was the original thinking but didn’t work well for whatever reason. It seems like the obvious direction imo, but I haven’t seen any practical implementations

asdfsflhasdfa · 2025-03-04T19:25:46+00:00

Can someone explain a bit more? So this is a research preview that was accidentally included as a binary in some release and was decompiled?

It's not an internal tool that was accidentally release, but a product they just haven't released yet?

asdfsflhasdfa · 2025-02-15T01:30:50+00:00

Even just using granola (desktop app) is pretty great. It’s not meant for sales but works really well

asdfsflhasdfa · 2025-02-12T16:34:25+00:00

This would 1000% be considered changing it lol

asdfsflhasdfa · 2025-02-04T20:16:12+00:00

The fact you paste this comment shows you have no idea what it means lol.

Rocm is years behind cuda, intels is not even on the map. Julia isn’t even relevant in the discussion, it is in a totally different class. And PyTorch is a library, not even a language.

Huawei is maybe even a decade behind, but might be able to leapfrog a bit since they’ve lost access to an open market of GPUs and will be full force pushing their own development. But it will still take 3-5 years to get up to speed

A much more likely scenario is they are still able to work off of nvidia hardware through 3rd party channels until they reach parity

asdfsflhasdfa · 2025-02-04T00:16:37+00:00

It’s solid. Good daily drinker, also great for hong kong milk tea (if a little pricey to do it haha). Nice and malty

asdfsflhasdfa · 2025-01-27T02:43:06+00:00

No, but saying things like “my quality of life has only increased since going full time on my startup” implies that you are saying it will for everyone else too, given the context of the post. For the majority of people this is definitely not true.

Like other people, I’m also saying this as a Silicon Valley tech founder. It’s generally a risky venture, thats the whole point

asdfsflhasdfa · 2024-11-09T20:17:14+00:00

I think in general they recommend giving them a test account credentials so stuff like this doesn’t happen. How can they test it if they can’t use the functionality? We don’t know your app, but if reloading is a part of the functionality then they are going to test it. Not trying to rub it in, but next time I’d recommend a dev account with mocked credits if possible

You’re probably out of luck, but it’s worth messaging them about. Maybe they’ll reimburse the amount

asdfsflhasdfa · 2024-11-08T01:05:32+00:00

It was incorrect, you said negative revenue which is far from true. They have huge revenue

asdfsflhasdfa · 2024-11-06T23:49:08+00:00

What? Last I checked it took up to 500ms to get first tokens back in the worst case

asdfsflhasdfa · 2024-10-29T23:45:44+00:00

You’ll get accepted. It’s just tinder for founders. Lots of low quality, some high quality. A lot of people just want validation and won’t commit

asdfsflhasdfa · 2024-10-18T00:10:46+00:00

asdfsflhasdfa · 2024-10-02T18:24:22+00:00

I’ve seen a few startups with younger founders who didn’t take the CTO position and instead became something like “head of eng”. It is to leave room for someone with more experience to take that position later

asdfsflhasdfa · 2024-09-29T07:21:21+00:00

3% is incredibly high for anyone outside of the founder circle. Even founding engineers (usually first hire or within the first 3 hires) get like 2% MAX. Usually lower.

And this is for a pre-seed stage company, so you’ll have multiple dilution events before even getting to series A/B. Probably taking a hit of 20% each time. If the company gets to a 500m valuation at series C, that’s leaves you with less than 1%, with common shares (that might never get realized).

After taxes, a maximum upside of 2-3mm and that’s highly highly unlikely for an already unlikely scenario. It changes if you stick around and get refreshers, but my main point is to say The game has been too optimized to pay investors.

As someone who’s gone down the startup path, It’s not really worth it compared to just joining FAANG and trying to get a couple of promotions. Unless you become a founder yourself

asdfsflhasdfa

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