MinimalAction

A random professor's academic website is usually barebones, no CSS, only HTML, mostly text. But the value one finds there is incredible.

As opposed to this, vibe coded slop which neither explains the stuff that's already there, nor is pedagogical. Why use AI for this?

Yes, of course mathematics is a tool to model nature as accurately as we could. That still doesn't mean mathematics is as trivial or frivolous as manipulating symbols.

That view is incredibly reductionist. It really is an efficient encoding of how nature behaves. It might be a human construct, but given how best it allows to understand nature (through principles of physics), it is uncanny to be any different from the language of nature.

Reminds me of Wigner's Unreasonable effectiveness of mathematics in natural sciences [0].

[0] https://en.wikipedia.org/wiki/The_Unreasonable_Effectiveness...

Extremely cool. I'm sure they'll eventually be trained to read it, but it's nice until then to trick AI.

I'm mad at AI companies for stealing texts from the entire internet knowledge base and now privatizing those profits in some sense.

As a scientific adventure, SpaceX is a worthy company full of awesome people. But the management and VCs is another story, as usual. To price it at a market cap of $1.8T, somewhere double that of Walmart is insane.

I'm tired of these types of articles making it to the HN frontpage. None of these articles can say anything definitive; all they could do is speculate. We are trading away the old HN which was full of really interesting links that used to send me on rewarding rabbit holes for hours.

I liked the idea, but this literally could have been a list. The AI-generated pages with filler text create a stark contrast in utility compared to the influential nature of the listed papers.

It is insane to me that Apple couldn't build its own source of RAM given its 250B war chest. Could have bought some RAM company at an opportune moment.

That makes a lot more sense when you put it that way. Nevertheless, it is ever more harder to prove something is legitimately one's own work. That is worrisome when it comes to science where credits matter more than for glory; job markets only value publication outputs which may have been cheaper to obtain with LLMs now and harder to distinguish what's yours and what's not.

Given the advent of LLMs, I don't know if plagiarism is ever a thing anymore. Nobody is stupid enough to include verbatim unless citing those works. Feed into an LLM to get a paraphrased version conveying the same meaning.

It is worrisome that the scientific machinery as it stands needs an overhaul in LLM era.

What's the biggest draw of GrapheneOS apart from de-googling? Does it have a better battery life? And compliance with NFC payments?

Well, for some reason Pixel 9 series and also 10 pro is excluded?

Interesting that they disclose this right after IPO.

Often this is the conundrum in research as well. What should one spend their life working on? Especially if you want to make an impact. Choosing the right problem is often harder than coming up with a relevant solution.

Just looked up Chinese production capacity (~1700 GWh). That's orders of magnitude higher than the rest of the world. What did they do differently?

I understand this is ultimately due to AI boom.

A couple of naive questions:

1. What's the bottleneck in ramping up RAM production? Is it the availability of silicon itself? Or the factories are at capacity?

2. Is this supposed to ease up despite the AI boom? Definitely would ease up if busted.

$10M is also perhaps asking for too much to live a modest life even without working, but I hear you with rising costs and healthcare. In any case, $10M is 100x smaller than $1B.

First question: why? Why should I (or anyone) earn a billion dollars? PG made it seem like that's the ultimate goal somehow. Also, why only a billion dollars, PG? You see your infinite cancerous growth machine doesn't stop?

This article did not sit well with me. I have found myself rereading Beyond Smart, How to Write Usefully, The Need to Read, Life is Short. But this one is harmful; nobody needs a billion dollars.

Whatever you do, there is a level of trust that is assumed when census takes place. The trust that this data is then not identified in a way that could be targeted for scams, frauds, and other such evils. But in NY, house sale records are made public but much to the detriment, many mortgage companies fake a bill for payment.

Differential privacy is absolutely necessary, and the social scientists being unable to reconstruct the data at an individual level is intended. A macroscopic description is rather enough for most purposes, and anything more is asking for a surveillance state.

I am happy to know this emblem of knowledge stream keeps coming until 2035. It is wonderful to know our innovations have flown 200 odd million miles and work for so long!

Yes! At some point, the author even complains about the (weaker) US law for employee on how it's a mess to fire somebody, but easy to let go from an internship. So much about stability that employees seek.

This itself feels generated by AI. Especially the last few paragraphs in there.

Given the pace of AI growth, it is quite possible to have years off if layoffs begin in many places. We are training AI to replace many jobs. It seems like entry-level jobs are the only ones affected, but that's for now. Anything short of executive level jobs are perhaps on the chopping block for time to come. Now, why wouldn't be execs be replaced? They could, but they wouldn't cut themselves off.

There needs be to a careful vetting before such adverse actions. If somebody includes a name and pushed it without express permission, does everyone get the ban? I agree that implemented the right way, this is good.

Well, but if I have a MacBook Air M4 with 16GB, I don't know what useful models can I run.

I strongly disagree on beliefs and hopes are coping mechanisms. Coping from what? Beliefs and hopes are what they are.

But I agree worth should be derived from understanding, not through achievement.

Thanks. This might help. Are you suggesting any particular form?

Thank you for this comment. I often fall into the why of graduate school many times. The pay is insufficient, hours are long, but at least I find it very satisfying on good days. It is just the feeling that what I do may not be unique anymore is what sucks. I didn't necessarily mean to find glory through incredible work alone, but through being unique in the problems I choose. Anyway, I digress.

As a graduate student, this piece made me sad. I always believed that my work speaks for itself and transcends beyond my limited time on this cosmic experience. This notion of immortality was just a small intangible bonus I hoped for when I jumped into grad school. AI is making me feel less worthy.

Regarding the first problem: are you looking at NCP maps for non-Markovian processes given you mention C*-algebra? Or is it more of a continuous weak monitoring of a stochastic system that results in dynamics with memory effects?

I'd be very curious to know how any LLMs fare. I completely understand if you don't want to continue the discussion because of anonymity reasons.