gixco

Why is the go-to always "you must not have used it" in lieu of the much more likely experience of having already seen and rejected first-hand the slop that it churns out? Synthetic benchmarks can rise all they want; Opus 4.5 is still completely useless at all but the most trivial F# code and, in more mainstream affairs, continues to choke even on basic ASP.NET Core configuration.

I once got a temporary F# role without any F# experience simply by having 7 YoE with C# and the knowledge that F# exists.

As much as I'd like to do more with it, the "just use F#" idea flaunted in this thread is a distant pipe dream for the vast majority of teams.

I feel like part of the mess of modern web development is the idea that most people actually need to "do something more complex than the basics". So much rehashing and effort spent trying to force MPAs into a SPA shape just because it's trendy.

I graduated before LLMs but after WolframAlpha and I essentially cheated my way through calculus I and II. Lenient grade weighting made 90s on the homework and 60s on the exams enough to slide through with a C. Funnily enough, now that it's over a decade later and I know more about myself and my neurodivergent patterns, I feel much more able and interested in actually learning calculus. I'm looking forward to seeing the pedagogical changes that result from LLMs enabling this sort of trickery for all subjects.

I didn't just look at the implementation, I tried it as well. I was hoping it would work, but the aggregating model mostly either failed to properly synthesize a new response (merely dumping out the previous responses as separate functions) or erratically took bits from each without properly gluing them together. In every case, simply picking the best out of the four responses myself yielded better results.

I saw a relatively new AI company already valued at over $1 bn publish a "new technique" recently, complete with whitepaper and all. I looked at the implementation and... it was just querying four different models, concatenating the results and asking a fifth model to merge the responses together.

Makes me wish I had spent some time in college learning how to sell rather than going so hard on the engineering side.