AI is a cool technology but anthropomorphizing it and using the L-word to describe your relationship with it is a symptom of AI psychosis. Respectfully, I suggest that you take a break and touch grass.
That both fair and also charitable to the commenter. It's not a given that Fable is "above that baseline," all we can go by is anecdotes and Anthropic's marketing materials. Both tend to be puffed up. And if they're speaking generally about LLM-assisted coding, they could have chosen to say it that way.
The most wide-eyed AI believers I've met are tinkerers. And that tracks; the speed at which we can tinker has become so marvelous thanks to LLM-assisted coding. Tinkering is a process; people get a lot of joy out of the act of building and tweaking things. Outcomes are a secondary or tertiary considerations. AI has massively expanded our ability to act (and therefore tinker) but it can't generate meaningful impact (e.g. "engineering") by itself. Impact > activity.
I'm sorry, but this is borderline silly. Fable has been out for less than a week and you're already making grand pronouncements about its superiority? How much first-hand evidence could you possibly have for that claim?
I'm curious about LLM adoption by faculty. Is it possible that lesson plans and/or slides are being vibe-produced by professors/TAs, potentially reducing quality of instruction?
There are limits to the web audio API :) but I did conform to the known waveforms of the trombone when setting the synthesizer values. The frequencies and proportions of the slides and partials are very precise!
Can you share a source? Of course the top 5% of _earners_ would pay more, but that's not necessarily the same crew as the top 5% in net worth. And 5% is a large share of the population. I'd be more interested in the top 1% of 1% in terms of wealth.
* _it's not X, it's Y_: "The goal is not to let AI choose for you. The goal is to build a sharper rejection vocabulary." "The biggest decisions are not formatting decisions. They are directional decisions."
* a lot of <h2> breaking up the prose, if you can call it that
* setup statement, then a colon, then a punchline: "AI and LLMs have changed one thing very quickly: competent output is now cheap."
> "Training" an LLM ist not the same as training a human being. It a metaphor. Its confusing the save icon with an actual floppy disk.
Maybe? But the design of the floppy disk is for data storage and retrieval per se. It can't give you your bits in a novel order like an LLM does (by design). From what I can tell in this case, the output is significantly differentiated from the source code.
This is interesting and I'm not sure what to make of it. Devil's advocate: the person operating the AI also was "trained with the code," is that materially different from them writing it by hand vs. assisted by an LLM? Honestly asking, I hadn't considered this angle before.