> I am able to make React changes much faster and the changes are higher quality, given frontend dev has never been my job role
Man, if I had a dollar for every time someone said "I'm not good at X, but LLMs are so impressive at it". Like do you think there might be some connection between those two points?!
> Many made the same prediction about Twitter, and it seems to be more or less the same or higher activity than before, and Bluesky is continuing to rapidly decline
Almost every comment here is appealing to personal experience. By contrast, OP refers to two studies that compare performance on some kind of standardised test over a range of models.
Can't speak to how good those tests are, but they can't be worse than anecdotal evidence for something as vague/subjective as LLM performance.
"But the effect of her being on those around her was incalculably diffusive: for the growing good of the world is partly dependent on unhistoric acts; and that things are not so ill with you and me as they might have been is half owing to the number who lived faithfully a hidden life, and rest in unvisited tombs."
I recently read Tarka the Otter [1], which is the story of a life of an otter. At the end he is hunted by a farmer and a pack of otter hounds. It is pretty brutal. Reminds you that at the time they were seen as vermin and a nuisance, not cute and furry.
I think OP meant that Farmville was built by a different party (Zynga). FB was trying to encourage other businesses to build apps on its platform, not build them itself.
As Matt Levine often points out, there are two possible cases for ESG
1/ This will bring worse returns, but I'm willing to accept the loss in order to forward values I support
2/ This will bring better returns, since the market underrates risks from bad ESG companies (e.g. the long-term return on capital for coal companies will be worse than the market expects)
People marketing ESG funds (or anti-ESG, same rule applies) usually emphasise the second.
> Anyone claiming they can consistently beat any large index is just delusional, aren't they?
This is obviously not true. RenTech would like a word.
More to the point, in the US losing teams get rewarded in the form of draft picks, which sometimes creates perverse incentives. This doesn't exist in European football. (Disclaimer: I know almost nothing about American sports.)
I was surprised that this article is about food wasted by people not finishing their plates. Would have guessed that a lot of the unserved food is discarded (sure, some of it can be served at tomorrow's breakfast, but only within limits), and that this is much more significant.
That's what traditional time-series modelling does. This is a foundational model, which means it's just a neural network trained on lots of time series. (So maybe OP's question still stands? But it's the same question as "how can LLMs be good at so many different kinds of conversations?")
Man, if I had a dollar for every time someone said "I'm not good at X, but LLMs are so impressive at it". Like do you think there might be some connection between those two points?!