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korrents.com
People are eager to optimize and put AI in even more places due to the zeitgeist that AI is too expensive and slow.Their words
this is also downstream of the "AI is too expensive/slow" zeitgeist. People are eager to optimize and put AI in even more places!
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Lenny Rachitsky x.com
Love this framework from @romanugarte_: Instead of working backwards from "Our product now has..." Optimize for "Our product can now..."
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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18 September
7 September
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Their words
All those things you can easily measure in isolation, and you can also optimize for them quite locally. But these local optimizations do not produce global optimums, and the fewer of us are looking at the output, the less it matters.
Astra for Coding: Why Are We Doing This Again?lucumr.pocoo.org
2 September
1 September
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Their words
Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the highest priorities in the world.
31 August
26 August
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Their words
If every uh software engineer knew to watch out for false serial dependency chains, things where they were creating series of dependent operations that could not be optimized away or other sorts of architectural problems like that that cannot be easily fixed, then the world would look more like just wait and optimize the hotspot, right?
19 August
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Their words
if you treat computing as this onion where you just keep peeling back the layers, there's always something interesting behind the scenes. And the more of those layers that you can peel back and understand, I think in some ways the better you can optimize for that world.
12 August
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Their words
Now maybe this isn't completely out of the question but this would be quite challenging uh to do and that's because the calculus is a little bit different. We're not just running compute to optimize for a use case. We're actually running the robot in the real world and using the hardware and attempting the task in the real world.
29 July
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korrents.com
A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers.Their words
Like I think we've seen internally at Meta um cases where if you can develop the right agentic loop and you have the right eval or the right metric for the agents to optimize, you can have a swarm of agents accomplish more than like a team of 100 engineers in, you know, uh very very handily actually, very very easily.
22 July
15 July
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Their words
PE funds optimize for a 4-7 flip and typically resort to aggressive cost-cutting and near-term optimization at the cost of the "soul" of the business or what made it successful in the first place.
26 June
27 May
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Their words
And our harness wasn't very good for like the first like five months of open code. But it was good enough. It was good enough that most people couldn't really tell a difference. And once we won enough share, then we went back and like tried to make our harness like good and smart and optimize and all those things. But uh it was inverted from what everybody else was doing. Everybody else was being like you have to build the smartest harness and that's how you win.
19 March
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Their words
OpenAI and Anthropic have both realized that code is the most important thing to optimize the models for, cuz that's where the money is. Like coders will spend $200 a month on a plan if it's good enough, it turns out.
1 January
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korrents.com
A habit has to be established before it can be improved, so standardizing a behavior comes before optimizing it.Their words
this is a very deep truth about habits, which is a habit must be established before it can be improved. You know, it has to become the standard in your life before you can scale it up and optimize and turning it into something more. You need to standardize before you optimize.
22 June 2025
23 March 2025
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Their words
which is number one, you can measure product market fit. Number two, you can optimize product market fit. Number three, you can systematically even numerically increase product market fit. And number four, you can even have an algorithm write your road map for you.
19 January 2025
From one piece 10 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey) 2 beliefs, in the piece's order there
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Their words
Growth team can optimize. Growth can maybe lift it by 10, 15% maybe that's enough for you even that like is on the upper end of what growth team would be able to do if there is a slow down trajectory
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korrents.com
A growth model that works today still has to be evolved by overlaying other growth models on top of it.Their words
If you have a growth model that works for you, that's wonderful. Good for you. Optimize it, grow it, scale it, create a team that will be nurturing it and that will be amplifying it. But you're going to need to evolve it. And that evolution needs to come through overlaying other growth models on top of it.
22 April 2024
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Their words
I think this is one of the biggest things that physics can help with, and it’s an obvious kind of low-hanging fruit situation where the heat generation, the inefficiency, the waste of existing high-level computers is nowhere near the efficiency of our brains. It’s hilariously worse, and we haven’t tried to optimize that hard on that frontier.
10 December 2015
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korrents.com
Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases.Their words
We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.
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korrents.com
Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases.Their words
We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.
13 May 2014
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