mgsloan2
Joined 5 years ago
Joined 5 years ago
While it seems like OLPC didn't really achieve the full vision of the project, I have some anecdata of success - my coworker got an OLPC when young (otherwise without access to computers), learned to code on it, and is now an awesome programmer.
Options to disable crash reports and anonymous usage info are presented prominently when Zed is first opened, and can of course be configured in settings too.
Also, if it is only trained on code, it's likely to miss out on all the world knowledge that comes from the rest of the data.
The question is not whether it can work, but whether it works better than an edit tool using textual search/replace blocks. I'm curious what you see as the advantage of this approach? One thing that comes to mind is that having a cursor provides some natural integration with LSP signature help
Yes agentic loop with diagnostic feedback is quite powerful. I'd love to have more controllable structured decode from the big llm providers to skip some sources of needing to loop - something like https://github.com/microsoft/aici
* Way way way more code in the training set.
* Code is almost always a more concise representation.
There has been work in the past training graph neural networks or transformers that get AST edge information. It seems like some sort of breakthrough (and tons of $) would be needed for those approaches to have any chance of surpassing leading LLMs.
Experimentally having agents use ast-grep seems to work pretty well. So, still representing a everything as code, but using a syntax aware search replace tool.
> Code licensed under the GNU Affero General Public License (AGPL) MUST NOT be used at Google.
Beyond the sentimental attachment to the pizza oven, I'd be bothered by the sheer inefficiency of it.
- https://news.ycombinator.com/item?id=28118381 - Supine Computing (2019)
- https://news.ycombinator.com/item?id=21842663 - Outdoor Computing with a Deck Desk
Would be very nice to have durable / repairable noise cancelling headphones. These headphones from fairbuds look great overall, but I'm skeptical of the durability of the hinges.
No fanciness needed, just plain old sum types. It is certainly possible to express those invariants directly in languages with a dependent type systems or refinement types like in liquid haskell - see https://ucsd-progsys.github.io/liquidhaskell-tutorial/Tutori.... It's typically much easier to reason about and use sum types, though.
Of course these examples are trivial and silly, but I see instances of these patterns all the time in big co software, and of course usually the invariants are far more complex but many could be expressed via sum types. I've seen loads of bugs from constructing data that invalidates assumptions made elsewhere that could have been prevented by sum types, as well as lots of confusion among engineers about which states some data can have.
> Field X is only set if field Y is true
Original gnarly C style pattern:
struct TurboEncabulatorConfig {
// When true, the turbo-encabulator must reticulate splines, and 'splines'
// must be non-null. When false, 'splines' must be null.
bool reticulate_splines;
struct Splines *splines;
};
Rust (let's ignore pointer vs value distinction): enum TurboEncabulatorConfig {
NonReticulatingConfig,
ReticulatingConfig { splines: Splines },
}
> If field X is non-null then field Y must be null and vice-versa.Original gnarly C style pattern:
struct TurboEncabulatorConfig {
// When non-null, lunar_waneshaft must be null.
struct Fan *pentametric_fan;
// When non-null, pentametric_fan must be null.
struct Shaft *lunar_waneshaft;
};
Rust: enum TurboEncabulatorConfig {
PentametricTurboEncabulator { pentametric_fan: Fan },
LunarTurboEncabulator { lunar_waneshaft: Shaft },
}Relatedly, storing booleans is a smell, imho typically an enum or sum type is always better in languages that have concise syntax for these. True and False are meaningless without context, and so can easily lead to errors where they are provided to a different context or generally misused due to a misunderstanding about the meaning.
Something does seem a little off about this, though. Ideally for this `Debug` case there would be an annotation that says "compile this lazily, don't inline". Maybe there doesn't even need to be a new annotation, just `#[inline] #[cold]`. Which looks pretty weird, but might work already.