I don't see a need for a code editor anymore, though I understand that others feel differently. However, I think zed is going against the tide, and not in a productive way.
Did you ask an ai to critique? Gemini have some points that weren't addressed in the post (which I barely skimmed), here's the summary of summary of summary:
Omitted Variable Bias: Conflates development stage with state size. Developing nations have small governments and high catch-up growth; mature economies have large safety nets and slower frontier growth.
Bad Extrapolation: The power-law model predicts ~36% growth at 0% spending. In reality, 0% spending means a failed state with no property rights or rule of law.
Lacks Basic Controls: Ignores panel fixed effects, reverse causality (Wagner's Law), and bundles productive infrastructure with welfare transfers.
> It should be common knowledge at least among the people building these things that a true AGI isn’t possible with LLMs.
This is funny to me, where'd you get that idea? There's no evidence for that, and models keep getting smarter. I guess you heard some 'guru' say it out loud.
It may be interesting to have it immediately insert the words, even if they are wrong, and when a sentence is finished, replace what has been written with the final corrected sentence.
Google released this awkwardly named app called edge eloquent recently that does exactly that.
In fact, it cleans up the entire paragraph that you just said, and even if you have meandering thoughts, it cleans those up too.
Actually, this above statement was fully dictated with iOS and it added all the punctuation automatically, so I think that iOS is also doing some of this natively. In fact, I’m on the iOS 27 beta and it seems to be doing an even better job of correcting itself and correcting earlier words and adding punctuation too.
I tried this on my Mac soon after launch and it was consuming a significant amount of processor cycles even just sitting idle in the menu bar. (From memory, ~20% of an M1 Max.)
It may have been an early issue but with no obvious way to interact and report the issue and, eh, Google’s general attitude around customer satisfaction, I just gave up and deleted it again.
In fact, a few apps I have tried do exactly this inside the app themselves. There is a live textual field that displays whatever the model thinks, and this display constantly goes back and fixes earlier words.
So I know it's possible. I just want to integrate this with the paste-at-cursor feature that these apps have. I imagine the app would have to create a virtual keyboard and use backspace or arrow keys to go back and change things.
But this is still possible to do if you track the whole run of text. You could replace all of it each time so it LOOKS like it’s streaming but earlier words also change. I’m hoping the streaming models do this eventually.
I believe the built-in iOS dictation already does this.
More accuracy. Like others have said, homonyms (their, they're, there) is easier to determine once you have more context. So then you may need to go back a couple words and update them.
Same with punctuation, you could determine that a comma belonged in a certain place once you have enough words.
In iOS this means you can edit the text as it’s being transcribed. For example, I want to dictate a todo list and after each item I can hit enter to go to the next line.
I suspect the hard bit is that it sometimes needs to back up and redo, and that's an interface they haven't got figured out. I'm fairly sure I remember Dragon Naturally Speaking doing it in Word years ago though, so the interfaces should be there.
Model should be able to understand where logical sentence ends, to stop buffering, and optionally rewrite some of the test that has already been output.
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