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I'm running it using a 4090 on using llama.cpp with Q5_K_S and its running at ~33 t/s


Apparently there's "more to come" and its not a complete retirement.


true - my first reaction was this seems like a weird milestone, as people like Vint Cerf don't really retire and stop, just change how & where they contribute. This seems like a nothing story pushed by TC and Google PR, more than a real event.


For a moment there I read "TC" and was like "the candidate"?!?!


Work induced brain damage... ;)


I mean, he's 83. No one's battery runs forever.


In his recent goodbye meeting he very much gave off a "I will die at my desk" kind of energy. Quite unstoppable.


It’s hard to imagine that guy sitting still.


Well healthcare needs its own DLSS 5!


I would just add that my wife is a doctor and in the age of AI it's truly unbearable. In addition to super long hours and stress they now have to deal with patients coming and thinking they know better than people who spent more than a decade in education because of what some chatbot told them.


Okay so regardless of the model, platforms provide attestation from end to end that nothing is being logged from either input or output, including at the firmware and OS level to the extent that the customers have proof of the data never being saved. AFAIK, both GPUs and TPUs support this.


From a third-world perspective, it feels like American politics being injected into the developer domain because of some previous biases that Americans had. Which is sad for a community that claims to be global.


Lots of Americans don't support this either. Of course, that doesn't actually matter to the people who have pushed this change through. They think that it's a righteous change, so it doesn't matter whom it annoys.


Lots of non Americans support the change too. Master was a terrible default name, switching it to a better name that’s also more inclusive language was a good idea. Where American politics infected things was the the reactionary response of people who are vehemently opposed to any attempt to fix problems that don’t directly effect them.


This whole 'master branch' outrage doesn't even make sense. Should saying things like: "I've mastered computer programming." also be an offense?

We absolutely should deny and disregard these nonsensical demands _by principle_. What was even the actual case made by people who wanted this? And don't tell me "well it's not a big deal, just accept it don't whine about something so small", because that won't fly, or shouldn't at least.


[flagged]


I suppose the justification was not heavy enough. Master's degrees, master bedrooms, mastering a skill, and calling someone a master of their craft, in fact, still exist, and nobody seems to complain about thouse funnily enough. Just admit that this just bs.


Or maybe he was searching for "structure", the way Grothendieck was - in pure math, in systems biology, in complex networks (e.g. civilizations, culture, occult) and in individual behaviors


I wonder how many of these hype-chasing AI founders are going to take the path of self-enrichment while capitulating their startups when they get exhausted of searching for a moat.


I wonder how many of these hype-chasing AI founders are NOT going to take the path of self-enrichment while capitulating their startups when they get exhausted of pretending to build something.


How do I get into this game? Take a bunch of VC money, pay myself a hefty salary, don't give a damn about my employees if the whole thing goes bust. Must be nice, not having principles.



Why not YC?


Best acceptance rate by YC seems to be Stanford, FAANG then YC.


You shouldn't skip the tutorial


All of them


That is indeed the song of venture capital.


And there are already so many companies with an existing moat that could go into this space with their existing user base.


> of these hype-chasing AI founders [...]

I mean, if you qualify that question like that, then probably closer to 100%.

What would be more interesting to know, is how many AI founders starts out as "not hype-chasing", but end up self-enriching/capitulate their startups regardless, basically turning into it rather than starting out like that.


Not sure why would the AI part make the difference with other founders.


> These are effectively identical to outsourcing your product to someone like Infosys.

But in my experience, the user has to be better than an Infosys employee to know how to convey the task to the LLM and then verify iteratively.

So more like an experienced engg outsourcing work to a service company engg.


That’s exactly what they were saying.


Ah so like NIM is a set of microservices on top of various models, and this is another set of microservices using NIM microservices to do large scale OCR?

and that too integrated with prometheus, 160GB VRAM requirement and so on?

Looks like this is targeted for enterprises or maybe governments etc trying to digitalize at scale.


Garbage in garbage out.


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