Unfortunately not, I've tried reaching out to GH folks but no dice. However it should be noted that d2.js, which enables client-side renders, didn't really become usable until this month and still isn't really officially released (kind of hidden). So, we'll see if the official release (soon™) changes things. If any D2-enjoyers reading this knows anyone on the GH frontend team, plz bend their ear =)
Good luck, it would be fantastic if you can get it accepted as a mermaid alternative; it's much, much niceer than mermaid, both the visual result, and the language. I've used D2 heavily for a couple of years or so now. It's really fantastic. I hope you're paid product is healthy. Sequence diagrams are my most common diagram type by some way I think. And I seem to always use the sketch rendering over the last year.
While you're here, can I mention a feature request? I'd like to be able to put clickable hyperlinks into sequence diagram arrow labels (e.g. so I can link the message to where in the code it occurs).
Also, I'd like more control over vertical spacing in sequence diagrams, and perhaps the ability to define groups of columns (just visually grouped).
No, sadly. That's still the biggest obstacle for a lot of my documentation. I push mermaid perhaps a little farther than it wants to go just so I don't have to spend the time setting up a CI pipe to compile the D2 into a PNG which is embedded in the documentation.
It feels to me like properly instrumented, these diffusion models are going to be really powerful coding tools. Imagine a “smart” model carving out a certain number of tokens in a response for each category of response output, then diffusing the categories.
Strange that it works for me in various browsers while I'm logged out of GitHub. Might be a caching thing. Anyway, I reuploaded it elsewhere: https://imgur.com/Qc8r15I
Yes, as with all of these models. The only architectures which struggle with that feature are those which have a strong "distributed" aspect to their computations, where it can take much more work than programmers typically expect to ensure you're actually performing equivalent computations.
When executing any of them on GPUs or other accelerators though (dLLMs or otherwise), you do have to remain cognizant of chip-specific approximations and deviations from the standard. That can be actual issues on the chip (a famous one comes to mind where some f16 or f32 computation passed through an intermediate, undocumented f8), or it can be issues with how your software compiles to a chip (e.g., (a+b+c)+(x+y+z) is not the same as (a+b)+(c+x)+(y+z) with floats, so you have a lot less freedom to lay out your computations in a way that fits the chip nicely).
I think the lede is being buried. This is a great and fast InstructGPT. This is absolutely going to be used in spell checks, codemods, and code editors.
Instant edits feature can surgically perform text edits fast without all the extra fluff or unsolicited enhancements.
I copied shadertoys, asked it to rename all variables to be more descriptive and pasted the result to see it still working. I'm impressed.
No. Spell check frequently still gets things wrong if the word is spelled correctly and the sentence is grammatically correct but the wrong word was used.
Where doge is both the name of a title (like duke) but it is misspelt "dog". The use of "Venice" where doge's are could increase a the likelihood of a smarter spell check keeping doge and not correcting to dog. Looking at a wider context might see that Bob is talking about a pupper.
A spelling error, using one dictionary definition, is "an error in the conventionally accepted form of spelling a word" --- mistaking one word for another does not fall under this definition. It is true that we now expect spell checkers to do grammatical checking as well, but a pure spell checker can indeed rely on a wordlist for English (this wouldn't work in languages with more developed morphology and/or frequent compounding).
Ok, but this is a technicality. Spell-checkers have slowly evolved into grammar checkers and what people really want is error correction. Whether people call it a spell checker a minor language issue (and the kind of things humans do all the time).
When teaching for your dictionary, ask: "is it obvious what they mean if I'm not being pedantic?"
We expect different outputs in these two cases, though. A wrong word choice is usually accompanied by a hint that another word may have been intended, while a wrong spelling can be unambiguously marked as a mistake. These two behaviours can be turned on and off independently, and they need two different labels.
Agreed. "Dessert" vs "desert" - mistaking these two is often not a grammatical error (they're both nouns), but is a spelling error (they have quite different meanings, and the person who wrote the word simply spelled it wrongly).
I agree, but this is definitely the kind of spelling error (along with complementary/complimentary, discrete/discreet, etc.) that we normally don't expect our spellcheckers to catch.
I don’t think I agree with your interpretation of the definition.
If I spell the word “pale” as “pal”, that is not an acceptable spelling for the word “pale”, even if it is coincidentally the acceptable spelling for an entirely different word.
If I asked a human editor to spellcheck the sentence: “His mouth dropped and he turned pal.”, the editor would correctly indicate I had misspelled the word.
Spellcheck hasn’t done this in the past because it can be quite difficult. But that’s a limitation of computer capability, not functionality bounded by the definition of the term “spellcheck”.
Finnish would like a word. Take a random noun like kauppa "shop". It has at least 6000 forms: https://flammie.github.io/omorfi/genkau3.html and that's excluding compounds (written as one word in Finnish) like "bookshop" or "shop-manager" etc. etc. And then you have loan words and slang, derivations into other words classes; all of this is impossible to compactly represent in a full-form word list.
Now consider the many other languages of that family ( https://en.wikipedia.org/wiki/Uralic_languages ) – they also have this extreme potential for inflections, but next to no online resources to train language models on or even scrape decent wordlists from.
Finnish is very different from most other languages, and does not have the user base to be well represented in training data, but that webpage is ridiculous and does not reflect the actual language. No one in the history of Finnish has ever spoken most of those forms. Grammar describes language, it does not define it!
That's exactly what they're saying. If you write “the work required deep incite”, a traditional spell checker won't catch the mistake (but people consider it a spelling error).
It might sound unbelievable but if you write in multiple languages and mix languages in the same message or sentence, often spell check doesn't work properly. Which is only normal.
I regularly send messages in 4 different languages (living in a bilingual city + frequent use of English and lots of Spanish friends). Sometimes even using 3 languages in one sentence.
Whatsapp kind of improved it now in that you can "activate" two languages at the same time. Apart from that I'm not sure there's much else that can be done.
It's not even that much of an edge case. Brussels is the one of the most international cities in the world, street names exist in 2 languages, a lot of slang and expressions get borrowed from other languages.
LLMs aren't very good in non-English anyway, one thing it does is translate the in- and output to and from English because it has more available information in English.
(disclaimer: single data point, a lot of assumptions in the above)
I've been let off the waitlist. So far, I'm impressed with the Instant Edits. It's crazy fast. I can provide a big HTML file and prompt it to change a color theme and it makes careful edits to just the relevant parts. It seems to be able to parallelize the same instruction to multiple parts of the input. This is incredible for refactoring.
I copied a shader toy example, asked it to rename all the variables to be more descriptive and it edited just the variable names. I was able to compile and run in shader toy.
Thank you for sharing this. I'm amazed! Are there any known emergent abilities of it? I ran my evals and seems to struggle in very similar ways to smaller transformer based LLMs
It's a great language for Application-level software on a single platform (could be Linux).
It has some challenges that it needs to solve to do great as a cross platform "general-purpose" programming language.
It's paradoxically high level with its syntax and ergonomics but is tied down to the same cross platform headaches like in low level languages (e.g. cpp). Linking across cross platforms requires lots of careful thought and testing. Unlike cpp, it's not super portable. It requires a hefty 30 MB runtime for some features of the language to work. Try static executable hello world.
That being said, it's possible. You can build cross platform applications with Swift, but you'd still have some of the same kinds of portability issues like in cpp but with nicer syntax and ergonomics.
> I would actually argue that axing Image Playground would improve Apple Intelligence; its mere existence greatly lowers the expectations for how good the whole thing is.
