dstala

I would retain one or two line changes with a comment if it was a fix for a hard to reproduce / corner scenario. Typically with embedded programming it helps- as some fixes are chipset or hardware version specific

Otherwise, just clear off wrong code without much comment. I've seen cases where comments too get bloated up over the years and no body owns to clear it up

Better validation to your thoughts, more so on tech. No Ads/Images/GIFs/Flash; lesser distraction. Talk to the point or thread is downvoted. Better managed Karma! Difficult to fake it.

GPT will be great with patterns. Was this random substitution? Which method did you encode this with?

Embedded programming is often associated with underlying hardware configurations and is tightly bound on both time and memory.

I did try co pilot to generate assembly instructions for a nested interrupt scenario for a particular micro processor that I was well versed with. Code generated wasn't bad. Like any other generated code, one needs to explicitly verify if it's doing the job or it was supposed to.

Co pilot on C: just tried well known algorithms. Task was easier for co pilot here.

Overall, it'll help a programmer work more efficiently with some assistance in hand. And will evolve as we grow towards next generation GPTs

Good amount of time is spent in embedded world to debug chipset specific and hardware specific issues - more so during early days of development. A copilot in this in its current form may not be of great help. Might be in future with enough trained data.

Good feature addition.

How different will this be from Jasper chrome extension? https://www.jasper.ai/chrome-extension

Right keyword - "multiplier skill"! You have said it right. Prompt engineering can be treated that way.

And it also helps validate & strengthen co-pilot! More people using co-pilot, better it will become.

I was an embedded programmer for over 16 years & now part of a web development startup. I had to make a switch from C/C++ to JS/TS. I personally find co-pilot really helpful as it makes my job a lot easier. I doesn't always generate right output, but often it does. More so, if the code that I am generating involves repetitive tasks.

If put to right use, I am sure it will help. But I do agree, putting GPT into pretty much everything is not going to help

Who on your team is exceptional? Davis asked managers when they got on the phone. Who would you bet your job on?

Will the answer change depending on motive? Bonus or layoffs?

Good to see some categories in place already. Just wondering, is there any meta data (description) associated with each image to help us filter further?

Like, amongst accessories- I want pictures of only headsets.

Learning about prompt engineering will help, but my guess is- it'll evolve too with newer versions of GPT and it's significance could go down as we get bigger and higher dimension models.

If I'd already developed an application- I would explore ways to make it AI native app. Question I'll be asking myself would be: is there anything in my app that needs prediction, classification or generation? Will my app user gets any benefit out of it?

For example: if HN was my app,I could show more relevant articles based on my history or comments. But does end user really need it? That's answer we should dig in ourself though

Is down in Bangalore/India too. OpenAI API's are accessible though.

Twitter is still up & running inspite of strength being reduced to 1/4th. Were all these jobs associated with new ideas & features? Or are the remaining one's working their ass off?

Some analogy it is. Season (timing) matters too. You are likely to see a fruit of you picked right season.

Bartleby’s Law states that meetings waste 80% of the time of 80% of the people in attendance

A problem for sure. But are async meetings right solution? Are they not just a modified version of email threads. Wondering..

Any quick insights?

I'm no expert in this area. Trying to co- relate. Industrial revolution, though replaced many manual labour jobs- ended up generating new jobs. Job of creating machines.

Will something of that sort not happen with AI? There could be new professions created all together

Like prompt engineering we see today, didn't exist few years ago

Exists, but very very hard to find without middle man agency. Hence escalated cost.

Services in India end up hiring from colleges, train and prepare for market. Hence they charge a premium.

Keep exploring in github, linkedin for direct hires. Have a good mechanism to shortlist. Good mechanism to evaluate. Good mechanism to validate culture fit

Sadly not many appreciate ESOPs though.

Teach them how to use prompts instead. By the time they grow up, it'll be GPT/AI all over

Thank you!

Working. Narrow down your interest, pick an udemy course, find an open source project in that area to contribute

Had exactly same question

AI will generate new jobs. At the same time, many jobs would gradually seize to exist.

We are experiencing a revolution for sure. An industrial revolution kind of. Some jobs chopped off, some added

Privacy warning displayed upfront is a great thing! Looks an interesting use case though.

This description helped me uncover a problem that I had since ages! Good

Will give it a run

Layoffs are a byproduct over hyped hiring in past few years. So, it looks to me is like more of a normalisation.

Is what I think is the reason. Didn't see any such limits on ChatGPT yet though.

Are we in middle of new revolution? Or is this just a trend that will wane off with time.

This is fun!

Tried Indian language (Hindi). Not bad actually. :)