in the future, humans won’t find a bug or an issue with the code produced by a model, at least not in a reasonable time. Humans will only review the system and its composition, but it won’t be in PRs and it won’t be by looking through every line of the code.
The Skilhunt H150V4 5000K headlamp is an outstanding headlamp. It's great for being neutral white, high CRI, running an included 14500 cell or AA, and having a great user interface. The price is fairly reasonable because of all those reasons and the great build quality!
I think the agents were right to presume causal grading. It turned out to be wrong, but it’s a mistake you are clearly supposed to make here, in response to a mistake by OpenAI where they failed to implement properly.
AI may help an oil company emit less pollution per barrel of oil. But if the company is producing more barrels than it otherwise would have, total emissions can still rise.
Well, I mean, okay, even the whole basis of building Helix is contrarian. Like, I think that if you raise a series A and then you tell your investors that you're going to vibe code a purchasing system, I think that any reasonable board is going to like ask you what you're thinking.
is find the things that you can develop like reasonable conviction in that people decide like the conventional wisdom is they're just wrong. And be okay with it taking a long time and having people be like very you know, very frustratingly wrong and dismissive.
And both of those are perfectly reasonable states in which to perform. And assuming that you have to be in flow to perform just isn't true if you look at like how you know athletes perform in the moment.
It has to be controversial that you have to be a reasonable person should be able to disagree with it because otherwise you're probably just trying to compete on raw execution
More data for better comparisons are good. Now everybody has to do it, and regulators and the public have to learn to look at only the data, and not individual incidents
In truth, rather rapid electrification projects, without decade-by-decade continuity, exist outside the UK and are often quite reasonable in their costs, as in Denmark, Israel, and especially India.
I think the reason why it doesn't show up as so much better on the benchmarks is because the benchmarks are being presented, the benchmark results are being presented in the wrong way. They're not controlling for the amount of test time compute that is being used on that benchmark question.
Users can't see the code, so UI is the only way for them to judge the quality of the app. If UI looks good, that means developers had time to polish it, which means that they probably spent a comparable amount of time to iron out the code.
Read this in the context of Christopher et al., and the reasonable conclusion is that many of the problems associated with homelessness are the result of unsheltered homelessness.
uh common sense meaning the ability to make inferences about what might happen uh that are reasonable guesses but that do not require you to experience that mistake and learn and learn from it in advance that's tremendously important and that's something that we basically had no idea how to do uh about 5 years ago but now uh you we can actually use LLMs and VLMs ask them questions and they will make reasonable guesses
Uh but it uh I think we kind of like know like roughly the puzzle pieces and it's something that we need to work on and I think if we work on it and we're a bit lucky and everything kind of goes as planned I think single digit is reasonable.
So Portland managed to build one very small line for fairly reasonable costs, but they were not cutting edge; this is a common pattern to Western US cities, in that the first line has reasonable costs and then things explode, even while staying self-funded and self-directed.
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