55 karma · joined May 21, 2016
Die shots show the CPU cores take up so little space compared to GPUs on both the Pro and Max... I wonder why.
I would kill for a rebooted 12" Macbook with that same terrible keyboard if it at least had an M1 in it.
It takes 10 minutes to learn, but a lifetime to master.
Metrics/Analytics can be calculated when your done based on actual information, as opposed to the beginning when you're guessing, and likely to be held to your estimates.
"GPTs are General Purpose Technologies"
I wonder what a Generative Pre-trained Transformer would say about that...
I found this on github: https://gist.github.com/jeb5/da22862e469dea21e873acabb562f63...
Was able to get all of my feeds exported to an OPML file, then imported into my RSS Reader of choice.
It's what Evernote was supposed to be. They've got some richer formatting open issues - but that's coming in V2.
I added an issue. https://github.com/github/feedback/discussions/6847
Anyone else install in neovim?
There's no way the buck stops there.
If we can get to net zero first, that would affect your model's calculation that we would require endless power plants.
I now wonder what happens when (if?) we get to 'net 0' (which hasn't been mentioned in these comments). If we can reach a point of unlimited, renewable, clean energy that's (almost) too cheap to meter, that just upends any model because it'll zero out factors that are parts of or 'limits' in those models.
- Lack of fresh water: solved by free/clean energy (desalinization)
- Lack of adequate food supply: solved by free/clean energy (fertilizer production)
- Lack of resources: potentially solved by free/clean energy (asteroid farming? recycling?)
It's hard to imagine a problem that unlimited, clean energy won't help solve.
The question is, can we get to net zero?
This could be very powerful. It would help Excel to be repurposed to potentially something greater....
Of course, Google Sheets and Apple Numbers should tap into that same functionality...
Excel is now just another front end. But it's a powerful front end. One can build typescript/js packages that in turn can be used by server apps/web clients/react native clients/jupyter clients/etc. - and now Excel clients.
I can see building solutions for 'self-service of data to power users/knowledge workers' - that makes those front ends in Excel more powerful. A couple of scenarios pop out to me:
- Using a query tool over data to populate an existing (pre-formatted) Excel template with data. - Using a query tool over data that helps set user define data for lookup/pivot tables.
Not revolutionary but certainly evolutionary - where Excel can be a tool for working on a less commoditized stack.
I'd probably be happier if it was easier to check in a spreadsheet to a repo and be able to see the changes...