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Jason Liu Site
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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15 September
7 September
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korrents.com
Open source wins because agents can train on it and use it efficiently, as with Blender beating its competitors.Their words
Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.
25 August
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korrents.com
Vaccine distribution schedules that miss the optimal protection window represent a policy failure.Their words
Our systems not matching up with the optimal protection window seems like a big policy failure.
16 August
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Lovedrcmnd.app
Flow: The Psychology of Optimal ExperienceTheir words
It’s one of those things that make perfect sense once you think about it. Great book, very important premise and a short and concise explanation. Can’t recommend enough.
7 August
From one piece @fchollet on X 2 beliefs · x.com
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korrents.com
Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning.Their words
However, looking ahead, I still do not believe that future AI (say, in 15 years) will be based on the LLM stack. I believe it will necessarily have to move closer to its optimal, final form -- symbolic learning. Obviously this is a risky and contrarian belief -- the safe bet would be LRMs. But let's see.
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Their words
I believe current techniques are 4-6 orders of magnitude away from optimality in terms of data efficiency and test-time compute efficiency. But far future AI will be near-optimal.
8 May
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Their words
So for complex traits, ones underpinned by many mutations, all the variation already exists to move the population to a different adaptive set point that's optimal in the environment which it's in.
13 March
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Their words
well the model the compute efficiency gains you get from research are so large you actually want most of your compute to go to research not to development because you know all these researchers are generating new ideas trying them out testing them and continuing to march along this and push the prao optimal curve of scaling laws further and further and further
21 February
29 January
From one piece How Until is Engineering Away Time in Organ Transplants | Laura Deming 2 beliefs, in the piece's order there
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Their words
people either like love it and they love it so much that they won't question it or it's like they're worried that thinking about that associating with it is a little bit too science fiction for kind of where it might be optimal for them to be focused.
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korrents.com
Organ matching happens at literally the last minute, so nobody has the time to find the best match.Their words
And then I also think um you know right now for matching it's like everything's done at literally the last minute. It's like someone dies, an organ comes available and like you're just kind of calling around trying to find like what patient is available to get this organ and you don't have that much time to make the optimal match, right?
19 January
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korrents.com
Floating-point printing and parsing algorithms are converging toward an optimal solution.Their words
Given the simplicity and speed of the algorithms in this post and the increasingly small deltas between successive algorithms, perhaps we are nearing an optimal solution.
25 May 2024
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Their words
is this idea that we form these internal models at particular points of high prediction error or points of, I believe also points of uncertainty, points of surprise or motivationally significant periods. And those points are when it’s maximally optimal to encode an episodic memory.
18 April 2024
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Their words
The optimal scenario is typically when the generators supply 1% of yearly electricity (shown below).
How to Make Off Grid Data Centers Affordableaustinvernon.site
16 January 2024
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Their words
The optimal thing to do with a fickle model, however, is to swap it out for another.
11 October 2018
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Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
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Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
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Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
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Their words
Such restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
1 October 2016
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