Killed by Google VS go

>Google operates in China albeit via their HK domain.

The Chinese government has access to the iCloud account of every Chinese Apple user.

>They also had project DragonFly if you remember.

Which never materialized.

>The lesser of two evils is that one company doesn’t try to actively profile me (in order for their ads business to be better) with every piece of data it can find and forces me to share all possible data with them.

Apple does targeted and non targeted advertising as well. Additionally, your carrier has likely sold all of the data they have on you. Apple was also sued for selling user data to ad networks. Odd for a Privacy First company to engage in things like that.

>Google is famously known to kill apps that are good and used by customers: https://killedbygoogle.com/

Google has been around for 26 years I believe. According to that link 60 apps were killed in that timeframe. According to your statement that Google kills an app a month that would leave you 252 apps short. Furthermore, the numbers would indicate that Google has killed 2.3 apps per year or .192 apps per month.

>As for the subpar apps: there is a massive difference between the network traffic when on the Home Screen between iOS and Android.

Not sure how that has anything to do with app quality, but if network traffic is your concern there's probably a lot more an Android user can do than an iOS user tp control or eliminate the traffic.

> This is proved by countless “killed by Google” incidents..

Oh, the Google's Graveyard: https://killedbygoogle.com/

I was already starting to feel a little cornered in the whole Google ecosystem and a bit limited with stuff like backups, vendor lock in, etc. (and you always have the obvious hanging over your head) and ultimately, I think I just find the mental model of a SQL database more intuitive compared to a NoSQL database. So I thought to myself; "the longer I leave it, the harder it'll be to make the switch".

https://killedbygoogle.com/

Their reputation is deserved. Google domains was killed only last year!

And this isn't even the first time I've been burned by Google's decisions. If you're familiar at all with the Google Graveyard, you'll know that Google has a long history of killing off products and services that people have come to rely on. This has happened to me a number of times, in both a personal and professional capacity, and frankly it's getting old.

Just because Google has a couple of decent services that you're willing to pay for doesn't detract from the fact that most of their products have a worse life expectancy than a victorian child in the 1800s. https://killedbygoogle.com

They ruined every single opportunity to be more than an advertising company since Orkut. With scrapped attempts, starts and lack of intention for most of the 2010s to even during the early half of the Pixel Era, they seemingly haven't learnt to stick to something and iterate on it well.

And the fact that over 50% of their revenues come from search and by extension, advertising.

The fact' that til this day, they still haven't evolved from the "throwing shit at the wall then at the fan" strat which explains how they have fumbled so much so quickly.

Yeah. The Google Graveyard really shows how far this can go.

https://killedbygoogle.com

The punchline is that in addition to hundreds of failed hobby projects, their stock is doing great. Monopoly power is a helluva drug.

The description indicates it is not production ready, and is archived at the same time.

If you pull all stops in each respective language, C# will always end up winning at parsing text as it offers C structs, pointers, zero-cost interop, Rust-style struct generics, cross-platform SIMD API and simply has better compiler. You can win back some performance in Go by writing hot parts in Go's ASM dialect at much greater effort for a specific platform.

For example, Go has to resort to this https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f... in order to efficiently scan memory, while in C# you write the following once and it compiles to all supported ISAs with their respective SIMD instructions for a given vector width: https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (there is a lot of code because C# covers much wider range of scenarios and does not accept sacrificing performance in odd lengths and edge cases, which Go does).

Another example is computing CRC32: you have to write ASM for Go https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f..., in C# you simply write standard vectorized routine once https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (its codegen is competitive with hand-intrinsified C++ code).

There is a lot more of this. Performance and low-level primitives to achieve it have been an area of focus of .NET for a long time, so it is disheartening to see one tenth of effort in Go to receive so much spotlight.

A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.

I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles

The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.