33 karma · joined December 30, 2023
Whether or not one term in this equation currently compounds faster is a good question, or under what circumstances, etc., but presenting agentic abilities as always flawed thinking resulting in impossible long term task execution isn't right. Humans are flawed and require long, drawn out multi task thinking to get correct answers, and interacting with and getting feedback from the world outside the mind during a task execution process typically raises the chance of the correct answer being spit out in the end.
I'd agree that the agentic math isn't great at the moment, but if it's possible to reduce hallucinations or raise the strength and frequency effect of real world feedback on the model, you could see this playing out differently perhaps quite soon. There's at least a couple of examples of "we're already there".
When you update the React tree with a different/longer paragraph node, it's actually removing the element and replacing it with a new one and the selection state is blown away. This is solved in non-text elements by a very simple diffing algorithm that says, as long as it's not a list with .map (which why is why .map triggers a linter rule warning you to use keys), if it is an element with the same tag (<a ...> is the same as <a ...> but different than <img .../>) then React uses DOM nudging to modify the element as opposed to unmounting it from the DOM and replacing it.
Text nodes work differently in the DOM. If you open up devtools and edit a paragraph while its selected in the browser, you'll see the same effect. Try doing the manipulation with JS, same thing (document.querySelector(a_selector).innerText += 'sdfsdf').
Using Fragments instructs React to append multiple text nodes to the same parent, which means we're simply appending nodes instead of blowing them away, which solves the selection state issue.
All made possible by the fact that browsers just cleanly reconstitute the text fragments back together into display text.
Unfortunately this approach does seem to break the built-in apple screenreader, but then I placed the screenreader on ChatGPT and saw how it already totally was failing. It seems surprising to me that OpenAI wouldn't have addressed this access issue. I guess there may be a whole extensive implementation issue with streaming text and screenreaders in general.