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Andrew Chen x.com
you want to spend zero time on the left. This is where AI wins - automating drudgery/workflows/costs we want to spend our time on the right. More of it is about connection/entertainment/humanity - less verifiable, more novelty-seeking
noveltyverifiableentertainment
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13 September
12 September
8 September
28 August
27 August
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Their words
In verifiable domains, model capability scaling should remain unbounded. Models will simply keep improving by "absorbing more and more of the computational universe", which is infinite by construction.
23 August
14 August
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Their words
a cybernetic machine can nail the task and completely miss the job. coding makes this very very easy to see because the tasks are so legible (and verifiable!): write the function, migrate the API, fix the tests.
11 August
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Their words
In short, RLVR gives us no reason to expect the normative representations learned in pre-training will acquire motivational force over a given action, especially when post-training repeatedly selects trajectories for terminal task success.
From one piece Ryan Greenblatt – What happens once AI can automate AI research? 2 beliefs, in the piece's order there
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korrents.com
The least verifiable part of AI research is the judgement call about what goes into the one big training run.Their words
Like the thing that I think is most likely to be sort of the bottleneck in terms of like the AI are really good at verifiable domains but not not at doing the actual thing is just like big experiments. You only get a few tries um well a few is maybe a bit understated but like basically like historically R&D has been driven by doing near frontier scale experiments and that has been pretty important and like actually doing the one big training run where you decide exactly what to include in that.
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Their words
And so basically everything that we can verify reasonably well with some feedback loop, the AIS are doing pretty well on. And that's sufficient to make AR and D go quite fast and to continue. But there's some parts of of developing uh aligned and safe AIs that are more subtle, hard to check, depend on, you know, detailed in the weeds things.
4 August
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Their words
The habituation to novel experiences makes spending money earlier in life more valuable than later in life.
Why $100 in Your 20s is Worth $500 in Your 60sofdollarsanddata.com
2 August
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Their words
commerce has totally different economics to entertainment and CPMs aren't the thing that you have to worry about.
19 July
From one piece Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) 2 beliefs, in the piece's order there
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Their words
I have a hard time picturing entertainment that doesn't have humans at the heart of it. So that that's humans in the creation of the storytelling, which I think is a scarce and valuable skill.
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Their words
It does feel like we have to be more more explicit about the types of people and talent that tend to thrive at Netflix versus other companies like some of the frontier labs.
15 July
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Their words
And I think the lesson in loops engineering is like if you can make a problem very verifiable, you can kind of like treat it like a black box
12 July
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Their words
As incredible as it may sound, the blockchain is the most important development in history since the advent of writing itself, as it’s a cryptographically verifiable, highly replicated, unfalsifiable, and provably complete digital record of a system.
20 March
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Their words
And so you're kind of like you're either on rails and you're part of the super intelligence circuits or you're not on rails and you're outside of the verifiable domains and suddenly everything kind of just like meanders.
13 February
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Their words
My one little bit, the one little bit of of fundamental uncertainty even on long time scales is this thing about tasks that aren't verifiable. Like, planning a mission to Mars, like, uh you know, doing some fundamental scientific discovery like like CRISPR, like, you know, writing a writing a novel. Hard to hard to verify those tasks.
23 December 2025
21 December 2025
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Likedaffiliate linkrcmnd.app
Lorne: The Man Who Invented Saturday Night LiveTheir words
Come for the stories about one of the msot storied franshises in entertainment history. Stay for the business and leadership lessons from Lorne Michaels.
17 November 2025
From one piece Verifiability 2 beliefs · karpathy.bearblog.dev
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korrents.com
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.Their words
If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well.
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korrents.com
How verifiable a task is now predicts how automatable it is, the way specifiability predicted it in the 1980s.Their words
The more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm.
3 November 2025
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korrents.com
Lavish feedback wrapped around no real problem is shallow entertainment at best and exploitation at worst.Their words
At minimum you’re making shallow entertainment. At worst, you are building exploitative entertainment.
1 July 2025
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Their words
People are more likely to have kids if it’s FUN - relative to alternatives. As entertainment-technology improves, it generates a tantalising menu of ways to spend our lives.
10 June 2025
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Their words
Consistent with the Kantian hypothesis, reasoning models automatically gain greater autonomy, self-consistency and long-horizon planning ability for free.
12 May 2025
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Their words
Sometimes designers will go to great lengths to make a user interface novel, or minimal, or simple. This is the wrong goal. Novelty, minimalism or simplicity are good heuristics for obviousness, but do not mistake the means for the end.
26 March 2025
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Usesrcmnd.app
iPhone 16 ProTheir words
The device I rely on for communication, entertainment, and everything in between.
21 March 2025
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Recommendsrcmnd.app
Leisure: The Basis of CultureTheir words
A short but powerful reflection from post-WWII Germany on 'true leisure' not mere relaxation or entertainment—is fundamental to human flourishing and the foundation of a meaningful life and culture.
3 February 2025
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Their words
And the history of NLP and language processing instruction, tuning and tasks per language model used to be like one language model did one task, and then in the instruction tuning literature, there's this point where you start adding more and more tasks together where it just starts to generalize to every task. And we don't know where on this curve we are.
From one piece DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459 2 beliefs, in the piece's order there
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Their words
I think it's actually probably simpler than that. It's probably something related to computer use or robotics rather than science discovery.
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Their words
But really the software engineering agents I think can be done faster sooner than any other agent because it is a verifiable domain. You can always unit test or compile, and there's many different regions of it can inspect the whole code base at once, which no engineer really can.
20 December 2024
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Their words, before
This "memorize, fetch, apply" paradigm can achieve arbitrary levels of skills at arbitrary tasks given appropriate training data, but it cannot adapt to novelty or pick up new skills on the fly (which is to say that there is no fluid intelligence at play here.)
Their words now
OpenAI's new o3 model represents a significant leap forward in AI's ability to adapt to novel tasks. This is not merely incremental improvement, but a genuine breakthrough, marking a qualitative shift in AI capabilities compared to the prior limitations of LLMs.
1 November 2024
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korrents.com
Personalised online entertainment has got good enough to crowd out socialising, and with it the forming of couples.Their words
My suspicion is that massive improvement in quality of online entertainment crowd out socialising and development of social skills, possibly hurting relationship formation as well as desire for children within marriage.
2 September 2024
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Recommendsaffiliate linkrcmnd.app
E=MC2Their words
Read it for the sheer entertainment and, as a bonus, like me you might just come away with a better understanding of the equation.
26 March 2024
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korrents.com
Leaving an old relationship for a new one is usually shopping for novelty rather than refusing to honour a sunk cost.Their words
a new relationship is like fresh powder. It is new and shiny and exciting but it will not be a new relationship for long. And then you're still stuck with an old relationship and the question is will your old relationship a year from now be better than your old relationship that you currently have is? And if the answer is yes then yes sunk costs completely apply. But if the answer is no then what you're really doing is shopping for novelty not ignoring sunk costs.
18 February 2024
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korrents.com
The fastest-growing part of the culture economy is not art or entertainment but distraction.Their words
The fastest growing sector of the culture economy is distraction.
22 November 2018
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Lovedrcmnd.app
Nintendo SwitchTheir words
For entertainment I’m super happy with the Nintendo Switch, which has a multitude of great games
11 March 2015
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