Most Bun users don't even know about this (unless they are bitten by this). That doesn't mean absolutely no one cares or would not care even though such complaints might be uncommon.
It demonstrated the capabilities of an AI to a potentially on-the-fence audience while giving the author experience using the new tools/environment. That's solid value. I also just find it really cool to see that an AI did this.
Yeah, it shows the AI is not capable of writing maintainable projects. I'm off the fence. And its cool you find it cool, but reducing the problem space to that of a toy project makes it so much less impressive as to be trivially ignorable.
The new LLM (pattern recognizer/matcher) is not a good tool
The vaccinnated group was 1 year older on average, and had mode cardiovascular risk factors.
Covid has long term health consequences, and these are proportional to the severity of the acute infection.
People who died of a stroke of a heart infarction 6 months down the line were not counted as "covid death", even though covid is known to increase their incidence in the next year.
Another factor that may play a role: the people who chose not to take the vaccine may be prone to taking bad decisions more broadly, leading to a higher mortality rate.
It looks like independent hackers with a strong technical background and little regard for decorum.
Their methodology seems reasonable, and their results are plausible.
I’m reserved about the final part of the post where they moot about applications, but the core result seems solid. They elicited osmosphenes like one can elicit phosphènes by targeting the visual cortex.
I don't know the exact details, but as far as I remember they are a employees owned collective with social improvement goals, working on open source, and they are involved in the Orca screen reader for Linux.
Wikipedia and their about page give some more info, but they definitely have accessibility experience and the history of delivering stuff.
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