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chabons

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Muse Spark: Scaling towards personal superintelligence

ai.meta.com
393 points·by chabons·3 mesi fa·367 comments

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chabons
·15 giorni fa·discuss
They didn't even attempt to make a clean-room implementation, they just had the LLM clone it for them with access to the source.
chabons
·3 mesi fa·discuss
> "[…] and these interlopers are the real geniuses […]

This wasn’t the framing I was going for. My point was that industry boundaries are fluid and expand/contract as demand dictates. You’re correct that incentives are not all positive (pay, work life balance, perks), other industries contracting might force people to find work elsewhere.

All that said, I don’t think these people have “odd backgrounds”. I work in a math-heavy domain, so these backgrounds make as much sense as a traditional CS background, and I think these folks are just as likely to be retained in a crunch.
chabons
·3 mesi fa·discuss
“There is a population of qualified workers […]”

In my experience, this is not true. Demand for software engineers has been so high, and pay so high as a result, that it’s pulling in workers from adjacent industries. The total software-qualified workforce is larger than the set currently working in software, and people with transferrable skills move in and out of software as incentives dictate.

A number of my current and former coworkers are from math and physics backgrounds (CFD, energy, etc…). These are folks that before might have stayed in academia, or ended up in aerospace, defense, or other engineering fields.

If everyone over hired, demand drops, and companies drop pay as a result, I’m sure we’ll see some folks in software with transferrable skills move to other industries.
chabons
·4 mesi fa·discuss
Where in academia can one get a Billion (with a b) dollars to research something?
chabons
·5 mesi fa·discuss
Developers are users too. If users cared enough not to use cross-platform software because it didn’t look native, then it wouldn’t get built.
chabons
·9 mesi fa·discuss
"rather hard" is really underselling things. Without considering generator->motor losses, 250W is a lot of power, even for a larger (>80kg/176lbs) rider. For basically anyone who doesn't train on the bike, this is an unsustainable effort.

Even a floor of 100W would rule out smaller/less athletic riders.
chabons
·10 mesi fa·discuss
Intuitively, I can understand that English Second Language students would struggle in classes other than English, but are the demographics really shifting enough to explain the drop in attainment shown in the article?

The best demographic data I can find is here: https://datacenter.aecf.org/data/tables/103-child-population...

The best data I can find on language spoken at home is here: https://datacenter.aecf.org/data/tables/81-children-who-spea...

The above shows the share of "Non-Hispanic White alone" children (who I'll assume speak English as a first language) going from 52% to 48% from 2015-2024, and the percentage of "Children who speak a language other than English at home" staying flat at 22% from 2013-2023. From 2015-2024, math attainment goes from 62% to 55%.

At a glance, it would seem that the shift in math attainment cannot be explained by demographics/language alone.
chabons
·10 mesi fa·discuss
I'm missing something. What change in demographics are we talking about, and why would that influence math results?