80fj0348i

Such AIs have existed in Brood War and Dota 2 for a very long time now (pre-LLM), problem is they aren't very fun for humans to play against.

I can say specific to AI: I have been seeing friends and colleagues do really impressive things with code surpassing what's available in the market and open source in the past few months. The vast majority of them are _not_ releasing their code, for a variety of reasons:

- Their output is hyper-customized/optimized for their personal use case, constraints and quirks

- They have zero interest in being an open source contributor and maintainer. Usually because it's a lot of additional work, sometimes for personal safety reasons (harassment targets etc.) In a workplace it can also mean dealing with an extremely tedious legal process with months of uncertainty.

- They figure anyone who wants something similar can just make it themselves instead of using theirs. If I spent between fifteen minutes and two days to make some software, in 3-6 months someone with fewer skills will probably make it in 5 minutes to a few hours using a more powerful model.

- They may not have full rights to redistribute their source code.

Basically most people - individuals and corporations alike - aren't actually interested in donating to open source and in many cases have anti-incentives to do so.

Maybe the syntax is, but setting up the compiler and build system and linkers is very much not, especially for cross-compilation.

One of Go's major selling points is cross-compilation to other OSes and architectures is incredibly simple and fast, and _the same short build command works across every OS._

I maintain a CGO app that targets Windows macOS and multiple Linuxes and oh boy the build system is probably more complex than the app itself at this point.

It's fine if you're only targeting one OS with maybe a small handful of architectures. Doing anything cross platform is terrible.

In my experience it's been much simpler to rewrite programs from Python to <insert lower level language of choice here>

This is not a product for the masses, it's a niche manufacturing device that can cause severe health issues if not installed safely (exhaust ventilation, spill pad, etc.) and must be used with personal protective equipment.

It's actually carcinogenic. Also, exposure can cause an allergy to resin (which makes you allergic to all sorts of everyday objects), and a single drop in your eye can cause permanent blindness.

It doesn't help that the moon and sun have roughly the same apparent size in the sky

The Eames Lounge Chair is a terrible example; you can buy near-exact clones for about 1/7th the price of a real one. There's one in the room with me right now. It's fantastic, and will probably last me decades.

Those had to switch over to endpoint agents installed on work devices directly due to TLS 1.3 preventing MITM for domains which you do not control.

> Memory fab capacity will go up

The fabs are terrified to overscale in case the market collapses before the builds are complete.

> AI datacenter provisioning will go down

Depends on political opposition at both local and national levels. Hard to predict the future, which feeds into the previous point.

Probably not. The ROI for local AI is pretty terrible at best it's like 20 years to see a cost advantage. Most enterprises are going to be fine using hosted models. The two main reasons to use local AI are 1. education and 2. if you cannot use hosted AI for your use case (safety guardrails, payment restrictions, etc.)

Have you been in nature? It's cold and full of bugs and disease.