Possibly, that page has only been around since March according to the internet archive. The domain has been around since 2020 though, predating chatgpt.
That said, it's a generic company website, the owners and their website building company will put a lot of general information and padded fluff on sites like this to try and increase SEO.
Found it to be a really unpleasant experience using Airalo in Europe on an iPhone. Maybe user error, but everyone in our group had confusing issues. Lots of problems with the phone forgetting the home number meant it was hard to get messages with iMessage, and no SMS caused a big mess with local businesses and with 2 factor/fraud detection. No phone number was also an issue a few times. I don’t know what we did wrong, but it was really frustrating.
I find SMS in roaming quite an adventurous endeavour anyway. Some will come, some will get quietly lost, some will err in sending, some will come in many copies at the same time of day (I'm looking at you MMS), some will arrive only when I'm back home, it's a total mess.
I don’t think it’s budget, i think it’s about the churn. They want an assembly line of blockbusters at a predictable cadence. If you need a good plot it adds a lot of uncertainty into which script, how long it will take to write, etc. much easier to just take whatever the best thing laying around on the deadline day and keep moving forward.
I think maybe parent comment is referring to it essentially just employing a zerg rush but with the speed and reaction time of an AI?
Not 100% sure...
Unrelated, iirc the starcraft functionality was an early example of generalizing a pretrained NN, alphaGO, and showing that it could adapt to learn and defeat games across strategic domains, especially after it learned so much strategy from the most difficult, widely played, and most strategically-varied physical game available.
I used them some for a month, and off and on since. I had high hopes, but find the shave worse quality, more difficult, and nicked myself some. Went back to Gillette.
The rate of efficiency optimizations that have occurred in the open source community over the past two years I think call that into question. Services like OpenAI and Anthropic have the highest performing models, but since we have no ideas about what they really are or how they do inference, we can’t say that they’re necessarily more efficient than open source. In fact, people doing things in walled gardens, motivated by maximizing market share, subsidized by big players, are more likely to be doing things inefficiently than research being done out in the open.
The continued growth and maturity of typing and LLMs like GitHub copilot finally make IDEs powerful for python. Excited about the future of the language.
B) that page must be ChatGPT authored, right?