I then checked with my hosting provider and it turned out this incredibly simple domain was available. My ISP's page popped up telling me there is no such page. I couldn't believe there isn't a site that does such a simple thing. The funniest result i saw was telling me the local time in Millis, Massachusetts. There was nothing like it in the search results. Since a program was already running, rather than just inspecting Java's System.currentTimeMillis() or running a program that shows it to me, i figured i'll open a web page that shows it. Why 1970 you ask? It's just a convention: it was the roundest most recent year to the point in time people actually started thinking about a universal measure of time.Īs i was debugging i needed something to tell me what the current time in ms is. This number has to be so large that it can encompass all the time passed since midnight January 1st, 1970 but sufficiently small that it can fit into existing data structures and keep going enough time in the future. In Android you tell an alarm when to come up by passing a simple number. The "current millis" story started with me debugging my Android application. More importantly, this site offers a time navigation service for human users and a time authority service for programmatic usage. You can also convert milliseconds to date & time and the other way around. This site provides the current time in milliseconds elapsed since the UNIX epoch (Jan 1, 1970) as well as in other common formats including local / UTC time comparisons. From this point of view the name “GMT” seems deprecated, but kept around for backward compatibility, traditional timezone based representation of time and sometimes legal reasons. If you were to calculate true GMT today i would see it based on its original definition of 1 second = 1/86400 days and this would for sure return a different absolute value than what UTC gives us. These 2 turning points (different definition of a second and the introduction of leap seconds) ‘forced’ GMT to be the same as UTC based on what seemed a gradual, tacit convention. In 1972 leap seconds were introduced to synchronize UTC time with solar time. UTC’s second is far more precise than GMT's original second. Unlike GMT which is based on solar time and originally calculated a second as a fraction of the time it takes for the Earth to make a full rotation around its axis, UTC calculates a second as “the duration of 9192631770 periods of the radiation corresponding to the transition between the two hyperfine levels of the ground state of the cesium 133 atom”. UTC essentially appeared in 1960, GMT being the ‘main thing’ until then. OpenAI will continue building on the safety groundwork we laid with GPT-3-reviewing applications and incrementally scaling them up while working closely with developers to understand the effect of our technologies in the world.Literature and history are a bit ambiguous. During the initial period, OpenAI Codex will be offered for free. We’re now making OpenAI Codex available in private beta via our API, and we are aiming to scale up as quickly as we can safely. But we know we’ve only scratched the surface of what can be done. We’ve successfully used it for transpilation, explaining code, and refactoring code. OpenAI Codex is a general-purpose programming model, meaning that it can be applied to essentially any programming task (though results may vary). The latter activity is probably the least fun part of programming (and the highest barrier to entry), and it’s where OpenAI Codex excels most. Once a programmer knows what to build, the act of writing code can be thought of as (1) breaking a problem down into simpler problems, and (2) mapping those simple problems to existing code (libraries, APIs, or functions) that already exist. OpenAI Codex empowers computers to better understand people’s intent, which can empower everyone to do more with computers. OpenAI Codex has much of the natural language understanding of GPT-3, but it produces working code-meaning you can issue commands in English to any piece of software with an API. GPT-3’s main skill is generating natural language in response to a natural language prompt, meaning the only way it affects the world is through the mind of the reader. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB-so it can take into account over 3x as much contextual information while performing any task. OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. OpenAI Codex is a descendant of GPT-3 its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories.
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