The knowledge industry resets itself periodically, this is a 10-year cycle. This short period of resizing will quickly be followed by a period of high job growth. Nothing extraordinary.
I doubt that it is as simple as this with central banks printing money left and right causing all sorts of inflation in every sector from food to high end to basic transportation. World is indeed in a transition phase with end not very clear but chaos is around and how controlled that would be is the unknown.
You are not wrong, Indian IT net product porfolio competetive edge is almost nothing, so hard times indeed with respect to odds but it all depends on USD position and how its foundations get shaken.
The large IT companies over-hired to create an artificial scarcity. This scarcity was created to make the hiring difficult and costly for the startups and the SMES (considered as competitors by the large businesses). Once the opportune moment arrived the excess human resource got dumped on the streets.
Yes in my college which has good placement record facing very difficult to get placements
Add that to emerging AI that is somewhat useful, some service jobs may not exist in future....AI is threat to IT companies as we know in India...... but as usual our idiotic IT consulting companies have no stake or position other than cheap labor. Ones in research side will have minimal impact.
AI (particularly the large language model) is over-hyped. It still works on the principle of garbage-in-garbage-out. Don't fall prey to the marketing gimmick.
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You are off....its got 100 times more productivity when you ask copilot now for instance I asked it to write a spark streaming thread for a routine to ingest a http url response and parse it into a certain format, it did a pretty good job that is better than a lot of programmers that you run into. This is a just infancy, when it has entire syntax trees and optimization trees to learn from, you can only imagine what it can generate when you build that contextual intelligence. Totally off...potential is huge if processes around IT projects are made suitable to this new AI capabilities. An entry guy will take days to even get to that level of understanding an api and majority of them won't even get it considering the quality you into in IT shops.
The AI provides what is already available in the public domain, like I said, garbage-in-garbage-out. The AI has got absolutely no way to know or test whether a particular piece of code works or not, that is ultimately up to the developer to decide. It just relies on the rating system of the website from where the information was originally captured.
No idea what your point is, it can generate pretty complete templates that takes days for programmer in seconds.....there is nothing subjective about this. AI can be trained on millions/billions of lines of open source code of high quality like OS, full language specs, web server, app servers, databases and so on. This itself puts number of programmers required at risk going forward, not to mention translations and so on. Testing is the easy one with test cases, test case is always deterministic in general....not a tough problem at all. Good programming dictates that you provide specific input and output is known when you write code....these are generally not stoachastic in nature
this is another misinformation…36% students from latest batch at IIT Bombay fail to get placed
36% students from latest batch at IIT Bombay fail to get placed
Around 36% of IIT Bombay students are yet to secure jobs in the 2024 placements. Concerns rise over low campus recruitment due to global economic challenges.
Thats a policy and regulation aspect not a tech limitation, for a country like China none of that matters. Generating templates of projects with 70% of code filled in with contextual intelligence is a lot more productive than if humans have to do.....regardless its here to stay. Those who don't or can't employ it will stay behind. Those that go with excess regulations are also going to have bitter reality slapped into their faces.
We are past the stage of 'Templates of projects'. Most of them are already templated/prototyped, done and dusted requiring some customization here and there.
Templating not in that context but from domain intelligence point of view based on learning that domain. Intellect now is different from being tool smart. It has large memory chains and living neural networks behind it to be able to do that and can do that in many different ways mimicking lot of things that people did in that domain. Sometimes you get surprized the way code is getting generated....
One of the consequences of the Halting Problem is that no computer program can analyze the behavior of another computer program.
what? where is it available where you can ask in natural language and it will write a program for you with very acceptable pattern and efficiency and not just simple case but very intricate in almost any language? This is based on math concepts trained on large amounts of data. What you mentioned as not doables are future areas in the near future where AI can certainly be in a position to identify virus or at the least flag out of pattern signals based on continuous on job learning.
