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With LLMs there is no real dev velocity penalty of using high perf. langs like say Rust. A pair of 192 Core AMD EPYC boxes will have enough headroom for 99.9% of projects.

That’ll be true for the 0.1% of project that were limited by the speed of their programming language. For the other 99.9% of projects their vibe coded rust can fly and their database, network, or raw computation will still be the bottleneck.

(Percentages cited above are tongue-in-cheek, actual numbers are probably different)


sqlite when used properly can be pushed pretty far. Few biz apps are raw compute limited

github private repo works fine


If I remember correctly Dario had claimed that AI inference gross profit margins are 40%-50%


Why do you people trust what he has to say? Like omg dude. These folks play with numbers all the time to suit their narrative. They are not independently audited. What do you think scares them about going public? Things like this. They cannot massage the numbers the same way they do in the private market.

The naivete on here is crazy tbh.


Pretty poor narrative tbh. As things stand they will not be profitable unless stop developing new models or get to AGI. So very likely never.


Good thing Sam has no experience in transforming a foundation into for profit org ...


actually hunting for i9 macbook in good shape to switch to linux after decades on mac


Might be because negative/questioning comments sound to be written by people who have no clue what they are talking about.


You can get same type of hardware/software setup that hyperscailers use for their datacenters for your on-prem workloads.


Prevent what? 0xide customers were running on-prem workloads before 0xide they just will have a much nicer way to do it now. >50% of enterprise workloads are still on-prem.


it's 1" shorter but it's not teardrop shaped so volume wise should be good


It would look better in some Mini Cooper version


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