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Rohit Krishnan Newsletter
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20 September
19 September
18 September
16 September
15 September
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Their words
Nobody knows for sure. We're in uncharted waters here, and I think even the LLM skeptics would have to say that the technology has taken us far past what many originally thought possible.
13 September
12 September
11 September
9 September
8 September
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korrents.com
Large language models are grown rather than built, and nobody really knows how the resulting working AI functions.Their words
Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.
7 September
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Their words
there is actually one thing we do know how to do, and that is build out lots of cheap solar, wind, and batteries.
4 September
3 September
31 August
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Their words
And that's the problem in our current education system today is we are taking eighth graders and we are delivering them eighth grade content because that's what an eighth grade teacher does by law. They need to stand up and deliver the eighth grade content.
28 August
26 August
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korrents.com
Resistance to finishing is strongest at the finish line, precisely because the work is about to be done.Their words
We talked in an earlier chapter about Resistance being the strongest at the finish line. It is. Resistance knows we’re about to defeat it. It summons all its genius and all its power to stop us.
From one piece DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501 2 beliefs, in the piece's order there
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Their words
No one was happy. Because no one knows what they want until they receive it. You don't know what a program should do until you play with it. So in the agentic age, you should resist the temptation to be overly specific upfront. Be as vague as you can to manifest something, then interact with the something. The way you arrive at good software is you write a little bit of software, and then you try to use it. It is in the process of using software that you discover what you really want.
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Their words
it was actually being damaged by overly prescriptive humans. And any programmer who's had a pointy-haired boss knows exactly what that is like. When the boss walks into the room, doesn't know anything, starts telling you how to program, how to code. What do you do? You sulk. You write shittier code if you're mandated to do things that are against your better judgment. Why would an agent not be the same?
15 August
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Their words
if you look at the nuclear industry outside of Valor, it's mostly a modeling and simulation uh industry. Like when you think of a nuclear company, right, there's like nuclear companies out there that everyone knows the name of. And you kind of look under the cover. It's actually a modeling and simulation company, right? They produce um very very precise what we call paper reactors which have really good predictions of how a theoretical thing might behave.
10 August
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korrents.com
GitHub's workflow, review process and merge queue are built for a pre-agent era and don't fit how agents work.Their words
Anyone using GitHub knows that it isn't cut out for agents. The workflow, the review process, the merge queue and many things are made for the previous era.
7 August
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Their words
And so if nobody knows how much an experiment costs, like every time you like grow up a new cell line or every time we make a new a new probe in in the fab, how much does that loop cost? Nobody knows. Therefore, experiments are free. Um, it doesn't cost dollars. It costs media. And media comes from the fridge.
30 July
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Their words
Um, and sometimes that's because the model is trying to do something it doesn't have a lot of experience doing. So it's been trained on a whole set of things and as soon as you get a little bit off the distribution of things it knows how to do then like most machine learning models it will you know its performance will suddenly will start to degrade and the farther you get off the comfort zone of what it knows how to do the the more likely it is to to not work as well.
29 July
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Their words
we believe that everybody in the world, you know, all the billions of people in the world are going to have a super intelligence that is adapted and tailored to them, that is enables them to accomplish their goals, knows their context, and ultimately is an expander of their own agency.
26 July
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Their words
we want we want to encourage everybody and every company to build their own AIs. And and and who knows what innovation will come from the fact that it's open source.
24 July
20 July
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korrents.com
Now that everyone can build apps with AI, distribution is the thing that separates who wins.Their words, before
I think the challenge is that everyone can now build apps But 1) almost nobody has distribution (like an audience), or 2) the money to pay for distribution (ads or UGC), or 3) the creative genius to get distribution for free (classically called guerilla marketing)
Their words now
I thought it'd be distribution but who knows, obviously creativity and ideas, but if you can copy a successful app in an hour, then how does that differentiating work?
18 July
15 July
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Their words
This will become normal and commonplace 12-24 months from now, but right now no one really knows.
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Their words
I think context engineering has been so long lived because it's it's grounded in the fundamentals of how transformer attention works and until we have post transformer models or linear attention or whatever it is which who knows when that's going to happen context engineering will be interesting and important to anyone building on AI
13 July
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Their words
And I think, you know, most people when they talk about aging, they're so worried about dementia and, you know, Alzheimer's disease as a specific form, but balance is even more important, I think. And most people aren't even aware of their balance.
9 July
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Their words
It knows I like surfing and it's like it doesn't. It just has this big ass number that happens to correlate with surfing.
1 July
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Their words
Nobody knows now. That playbook has been wiped clean and people whose identity is I know the playbook are now terrified. Who who am I? Now, it turns out that the skill of writing a playbook is completely different than the skill of applying a playbook.
26 June
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Their words
And so you kind of end up in this this bad equilibrium where everybody kind of knows that it's a bad equilibrium, but like nobody wants to break out. And I I felt like, okay, well, if I just hopefully come out and say like, look guys, let's all recognize that we're in a bad equilibrium and let's move to this different equilibrium where we're we're plotting things with an X-axis
18 June
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korrents.com
The binding constraints on AI's growth are power, helium and memory — and almost nobody has noticed the helium one.Their words
One is of course everybody knows power constraint. Some country the power they just don't have that. They get impacted. And then secondly, a lot of people didn't realize the helium impact can be also very significant for semiconductor. And then the thirdly, is everybody know right now memory is a bigger shortage.
3 June
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Their words
But if you ever want to get better at anything, and sometimes that depth, that nuance is the thing that leads to an invention, right? If you know how a compiler works, if you know how memory management works, that might give you enough information to say, "Oh, I can make a new programming language."
19 May
15 May
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Their words
The point is a user is looking for help, and a maintainer is willing to help and knows a solution. They are all real humans. You guys are hurting them by closing and deleting the question.
8 May
7 April
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Their words
his expertise seems to be getting in the way. He knows so much, he understands so much, um and then he's not able to let go of these these things.
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Their words
And one of the things I noticed is for 25 years we've kind of had the answers. Somebody comes to us and says we have too many bugs or like, all right, well, here's how you write tests. Oh, I can't write tests. Well, here's how you design so you can write tests. It's just kind of press play uh on the recorder. And the thing that's changed is at this moment nobody knows the answers to anything.
1 April
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Their words
the question about how big it can possibly grow nobody knows really. But it's actually not fruitful to pontificate on that.
25 March
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