vegabook

Infinite Loop seems to have missed somehow. The old Apple with multiple dodgy buildings all over the show was perhaps a bit more chaotically creative. Now it all seems very rehearsed, architected. Too perfect, just like the campus.

Somewhat surprised that pcmag.com has not published an obituary. He was one of the load-bearing walls of the brand for what must’ve been two decades and certainly throughout the growth years.

I ran two gens of Jetson board and I have zero confidence in this. NVDA is printing in the data centre and everything else has no staying power.

more flawed[1] don't-have-kids "science" but then they complain about demographics.

[1] https://news.ycombinator.com/item?id=47986349

How does typescript perform on arrays compared with BQN for example whose reference CBQN implementation extensively uses AVX / Neon?

now can they please approve the linux kernel

“seems” doesn’t need a source

Increasingly flake.nix is present in good repos. Zillions of packages are available. But yes, you will need to learn and sometimes File System Hierarchy assumptions need to be worked around. The rewards however, dominate the (few) inconveniences once you know your way around.

Nix and never looked back.

-600 dollars though. Not -200 dollars as per AAPL's usual playbook. This is a perfectly good mac for 80% of users. Most of your list is slightly incremental irrelevance.

“Yeah okay forget sense, show me how good you are at budget protecting overdesign”

There’s now a gaping 500 dollar hole in the lineup between this and the macbook air.

yeah but effective GPU RAM has ramped thanks to unified mem on apple. The 5y thing doesn't hold anymore.

totally. In fact the current monopoly-coddling dispensation is antithetical to market economics, which clearly espouses real competition. It's kinda been coopted and hijacked.

agentic crap from green usernames is getting tiresome.

more market economics framing of life, as if numerous very smart people haven't already tried to make this paradigm work for society, and failed.

The periscope style vector CRTs use in the arcade Battlezone were a claustrophobia and panic-inducing experience. Glowy unpixellated 3d, narrow field of vision. Unforgettably cool.

With a new agentic-lashup tearing across the internet every week, pointing the way to "gradient descent" software development, any purchasing manager worth their salt is going to ask some serious questions about their enormous SaaS bill before committing to another expensive long term contract. It follows that valuations must decline. Even if only because risks to moats have increased, but also because it makes sense to negotiate hard on pricing when there's fear in your counterparty.

you have map_elements in polars which does exactly this.

https://docs.pola.rs/api/python/dev/reference/expressions/ap...

You can also iter_rows into a lambda if you really want to.

https://docs.pola.rs/api/python/stable/reference/dataframe/a...

Personally I find it extremely rare that I need to do this given Polars expressions are so comprehensive, including when.then.otherwise when all else fails.

because method chaining in Polars is much more composable and ergonomic than SQL once the pipeline gets complex which makes it superior in an exploratory "data wrangling" environment.

"revolutionary"? It just copied and pasted the decades-old R (previous "S") dataframe into Python, including all the paradigms (with worse ergonomics since it's not baked into the language).

cool, but doesn't sound that great when you close your eyes and just listen. Other synths beat this hands down especially at > $1000, and can easily bring in the physical world already, including live workflows. The issue is when we get into the physical analogue world, craftsmanship, materials, shape, often age, and of course the varied kinetic interactions with the sound solicitor, bring depth and richness which no little electrically-excited xylophone will ever get anywhere close to.

It's become what happens when others learn your simple card trick.

basically it's a cliché

Ultimately what's happening here is AI is undermining trust in remote contributions, and in new code. If you don't know somebody personally, and know how they work, the trust barrier is getting higher. I personally am already ultra vigilant for any github repo that is not already well established, and am even concerned about existing projects' code quality into the future. Not against AI per se (which I use), but it's just going to get harder to fight the slop.

there's also a Forth-meets-APL project called uiua [https://www.uiua.org/]

I don't understand why Apple doesn't offer a headless MacOS or at least a path to a minimal install. Those mac minis make a great little server box but losing 8GB to hundreds of processes, before you've done anything, just feels wasteful and inelegant.

Willing to bet most columnar stores are used for time series.

>> "The adversary has a limited ability to persuade users to trust the adversary’s agents - thus the number of social connections between the adversary’s agents and the rest of the network is limited." [1]

This assumption seems risky.

[1] https://briarproject.org/how-it-works/