So it's strange because it's also perhaps the major software release that I've worked on the least in terms of lines of code. I have the least number of personally hand-chiseled lines of code in Quattro than I've had in any major release I've ever done. And yet, I am insanely proud of what we've accomplished.
Such, indeed fragile, peace not only puts an end to today’s carnage, but leaves open a possibility of eventual long-term solution between Russia and Ukraine.
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I'm so incredibly tired of seeing low-effort AI-designed web pages. I basically bounce off any new product immediately when I see it (never get a chance to judge the product itself). Lots of thin lines, glowy styles, inconsistent fonts, lots of monospace.
Like that just does not seem like the ideal artifact. We should be able to store them somewhere. We should be able to have architecture diagrams that we can review and discuss that generate that code to spec.
Facts and Fallacies of Software Engineering by Robert L. Glass. In essence, this is a book about an industry that refuses to learn. That was true 25 years ago when this book was published, and it's probably twice as true today. (Just think about all the AI adoption metrics being rolled out — back to productivity mistaken for lines of code produced, only more elaborate. And expensive). What I like about this book is that Glass doesn't present anything new. Quite the opposite, actually. Rather, it's about research lessons that we all should know, but tend to forget. Ever had to do an estimate, or plan according to a requirements spec? Or maybe you thought that enough eyeballs make all bugs shallow? Then this book is for you. A great work by a fantastic author.
I think there's a difference between being able to write lines of code in a particular language like Python or C++ and understanding how code, computer systems, products work. And I don't think the latter is going away.
I still see a craft excellence that's really important in the disciplines that I don't think is going away anytime soon. Even if there's fluidity or blurring of the work across the functional lines.
it's more important to invest in trains that can get more riders than just the railfans; taking a line from 0% to 5% modal split is less important than taking it from 20% to 40%
Riders diverted from other lines still benefit from the project, especially in a case like QueensLink, where the diverted riders would enjoy an improvement in trip time to Midtown of about 10-15 minutes each way.
The demand for inference is growing. So, like I don't think it's linearly growing. I think it might even be exponentially growing. But we haven't made our production of GPUs grow exponentially. That's like kind of a linear process. So as those lines intersect, there's going to be uh tightening.
But right now I think it's sitting somewhere between half million and five million lines of code, somewhere in there. Probably more on the half million side right now and with the next drop of an Anthropic model, we're probably going to see it jump up to a few million lines.
There's a point in which all of your choices add up. And I typically find that right around 5 to 10,000 lines of code. The choices you've made either weigh you down or kind of free you up.
Archeology, in this regard, is the worst enemy of this. So we put these names on cultures, we talk about how they evolve from one to another, we draw these lines where there aren’t any.
I often read advice along the lines of “if you want to help a project send PRs” and I never understood it. Reviewing and iterating or pushing back on PRs is work! Often more than writing the code itself.
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