golergka

Joined 13 years ago

Karma
8,564
Submissions
6,620
Member since
Sep 1
meet.hn/city/-37.14984035,-60.1319456430117/Buenos-Aires

Socials: - [email protected] - github.com/golergka - t.me/golergka

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Recent submissions

Comment · 5 days ago
That's their choice from the beginning, high risk/high reward. Copying your competitors strategy is rarely a good choice.
Comment · 5 days ago
Different classes and different generations. Isn't it roughly the same as what car manufacturers do? Or even Macbooks? 2014 macbook pro has worse performance than 2026 macbook air, this doesn't confuse consumers.
Comment · 5 days ago
As computers, and smartphones got more popular, the audience got larger and the use scenarios got more and more distant from professional use. Dedicated professionals, like software engineers and stock brokers still prefer CLI and Bloomberg terminal even today. Ordinary office workers late 90s and early 00s window-based interfaces (the ones you're talking about). But smartphone users who just want to play their free games and scroll through facebook actually prefer the mobile-first UIs.

If you see this UI transition through the same lense as CLI-GUI one, a lot of things become more clear, in my opinion.

Comment · 2 months ago
> perhaps it’s useful for the AI on its next pass

Yes, that's the entire point. And it is extremely useful. Why wouldn't I want this?

Comment · 3 months ago
I’m not sure what else can you use to share the same business logic between website frontend, desktop gui and tui apps and backend
Comment · 3 months ago
Marketing could of course be one of the main motivations, but it's not a "stunt". More like a marketing achievement, I guess? Stunt implies smoke and mirrors, and bun rewrite is quite real.
Comment · 4 months ago
Needless to say, they also collect all the data and sell it to labs which want to distill the models they’re serving.
Comment · 4 months ago
There’s a hugely widespread business model where criminals steal people’s API keys, then sell people (mainly in China) access to models through their proxies for lower prices, and then of course save all this data and sell it to Chinese labs for distillation.
Comment · 4 months ago
Back in 2000s tech was about websites to share "I can has cheezeburger" photos and now we're literally in the middle of technological revolution that seemed like scifi less than 10 years ago. Not only AI, but biotech, space, fusion, robitics, even gussian splats. Solo software engineer can't create on of these now. But there's so much more invention of genuinely new, exciting new things going on that we can be involved with.

Yes, big corps suck. Always have, always existed, 20 and 40 years ago. Startups of 20 years ago have become big corps of today; now, new ones are in this "youthuful vigor" stage.

Comment · 4 months ago
Compared to 2011, HN turned from optimistic techno-enthusiasts who couldn't wait to see new stuff around the corner into an aging millenial club, just like reddit. I used to come here every day and talk to people, and how I hardly do it once a month.

I think it's mostly demographics. Most people my age (I'm 38) have to come to terms with the fact that their most energetic age and most of their opportunities are already behind them. When faced with uncomfortable reality, many start looking for something or somebody else to blame for this. Not only billionaires, but tens of thousands of millionaires have played their cards better than I and others like me. They had the same opportunities, sometimes even less, but they have shown better judgement, strength of character and pure talent. Admitting this is not pleasant.

Comment · 4 months ago
Except they’re paying $30b (the deal is signed for almost 3 years), there’s no reason to believe that SpaceX maintains revenue multiples and this deal creates a trillion in value, liquid cash is not the same as pre-IPO shares. And finally, the deal comes down to $11 per hour of h100 equivalent, which is pretty much within market which experiences a severe lack of supply.
Comment · 4 months ago
After building some toy LLMs on my own I came to realise that architecture is not the hard part. Train is.
Comment · 7 months ago
attempt != release to customer

when you're building a feature and have different ideas how to go about it, it's incredibly valuable to build them all, compare, and then build another, clean implementation based on all the insights

I used to do it before, but pretty rarely, only for the most important stuff. now I do it for basically everything. and while 2-4 agents are working on building these options, I have time to work on something else.

Comment · 7 months ago
what's your plan to get all this data and maintain it?

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