Pcs can create their individual code. So are programmers now out of date? | John Naughton

I researched engineering at university and, like most of my contemporaries, located that I sometimes desired to publish laptop or computer programs to do sure sorts of calculations. These items of utilitarian software program were being prepared in languages now regarded as the programming equal of Latin – Fortran, Algol and Pascal – and what I figured out from the expertise was that I was not a born hacker. The program I wrote was clumsy and inefficient and extra proficient programmers would look at it and roll their eyes, significantly as Rory McIlroy may do if expected to participate in a spherical with an 18-handicap golfer. But it did the career and in that sense was, in the laconic phrase sometimes used by the excellent computer scientist Roger Needham, “good more than enough for govt work”. And what I took away from the expertise was a lifelong respect for programmers who can write stylish, productive code. Any one who thinks programming is straightforward has never completed it.

All of which goes to reveal why I sat up when, very last year, anyone realised that Codex, an offspring of GPT-3, a substantial neural network trained on huge troves of text collected from the website that could produce plausible English textual content, could write applications, ie, limited computer plans including buttons, textual content enter fields and colours, by remixing snippets of code it experienced been fed. So you could question the plan to publish code to do a very simple activity – “make a snowstorm on a black background”, for example – and it would write and run the necessary code in Javascript. In no time at all, there ended up tech startups such as SourceAI aimed at harnessing this new programming instrument.

This was amazing, quirky and probably helpful in some contexts, but truly it was just selecting minimal-hanging fruit. Apps are small programs and the types of jobs Codex can do are types that can be explained succinctly in standard language. All the application has to do is to lookup by means of the big repository of laptop or

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Nvidia Buys Arm For $40 Billion, Will Create A Super-Computer

Jan 25, 2022 update: It now appears Nvidia may abandon its purchase of Arm amid various regulatory hurdles.

After announcing its next series of graphics cards, Nvidia has made another bombshell announcement. The company is buying the British semiconductor company Arm for $40 billion. Nvidia acquired Arm from SoftBank, which paid $31 billion for it back in 2016.

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In a statement, Nvidia said buying Arm will help the company become the “premier computing company for the age of artificial intelligence, accelerating innovation while expanding into large, high-growth

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