As part of our .NET unification, Xamarin.iOS and Xamarin.Android will become part of .NET 6 as .NET for iOS and .NET for Android. Because these bindings are projections of the SDKs shipped from Apple and Google, nothing changes there, however build tooling, target framework monikers, and runtime framework monikers will be updated to match all other .NET 6 workloads. Our commitment to keeping .NET developers up-to-date with the latest mobile SDKs is foundational to .NET MAUI and remains firm. When .NET 6 ships, we expect to ship a final release of Xamarin SDKs in their current form that will be serviced for a year. All modern work will at that time shift to .NET 6.
List of Chromium Command Line Switches
There are lots of command lines which can be used with the Google Chrome browser. Some change behavior of features, others are for debugging or experimenting. This page lists the available switches including their conditions and descriptions. Last automated update occurred on 2023-05-28.
There are a lot of things to consider when choosing your database. Choose wisely because you’ll be married to that database for a long time. One case study is Amazon Marketplace which started with Oracle and tried to migrate after developing their own database solutions. The migration took somewhere between 5 to 10 years, and they seem to be still partially using Oracle. Though if your company reaches Amazon scale, then you’re probably doing very well.
ChatGPT مزخرفه!
ChatGPT is bullshit
Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.