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Watching AI drive Microsoft employees insane

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Re: Watching AI drive Microsoft employees insane

#201
post #145

At least it's clearly labelled as copilot. Much more worried about what this is going to do to the FOSS ecosystem. We've already seen a couple maintainers complain and this trend is definitely just going to increase dramatically. I can see the vision but this is clearly not ready for prime time yet. Especially if done by anonymous drive-by strangers that think they're "helping"

.Net is part of the FOSS ecosystem.

Re: Watching AI drive Microsoft employees insane

#202
post #143

Malicious compliance should be the order of the day. Just approve the requests without reviewing them and wait until management blinks when Microsoft's entire tech stack is on fire. Then quit your job and become a troubleshooter on x3 the pay.

I know this is meant to sound witty or clever, but who actually wants to behave this way at their job? I'll never understand the antagonistic "us vs. them" mentality people have with their employer's leadership, or people who think that you should be actively sabotaging things or be "maliciously compliant" when things aren't perfect or you don't agree with some decision that was made. To each their own I guess, but I…

To be fair, "them" are actively working to replace "us" with AI.

Re: Watching AI drive Microsoft employees insane

#204
post #5

Interesting that every comment has "Help improve Copilot by leaving feedback using the or buttons" suffix, yet none of the comments received any feedback, either positive or negative. > This seems like it's fixing the symptom rather than the underlying issue? This is also my experience when you haven't setup a proper system prompt to address this for everything an LLM does. Funniest PRs are the ones that "resolves" t…

Hot take : the whole LLM craze is fed by a delusion. LLM are good at mimicking human language, capturing some semantics on the way. With a large enough training set, the amount of semantic captured covers a large fraction of what the average human knows. This gives the illusion of intelligence, and the humans extrapolates on LLM capabilities, like actual coding. Because large amounts of code from textbooks and what not is on the training set, the illusion is convincing for people with shallow coding abilities.

And then, while the tech is not mature, running on delusion and sunken costs, it's actually used for production stuffs. Butlerian Jihad when

Re: Watching AI drive Microsoft employees insane

#206

Earlier quoted context omitted.

> The promises are indeed large but the speed of progress has been fast And at the same time, absurdly slow? ChatGPT is almost 3 years old and pretty much AI has still no positive economic impact.

OpenAI alone is on track to generate as much revenue as Asus or US Steel this year ($10-$15 billion). I don't know how you can say AI has had no positive economic impact.

That is not even 1 month of a big tech revenue, it is a global negligible impact. 3 years talking about AI changing the world, 10bi revenue and no ecosystem around making money besides friends and VCs pumping and dumping LLM wrappers.

Re: Watching AI drive Microsoft employees insane

#207

Earlier quoted context omitted.

What a time we live in. I guess it depends how pessimistic you are.

To their point, there hasn’t been any huge breakthrough in this field since the “attention is all you need” paper. Not really any major improvements to model architecture, as far as I am aware. (Admittedly, this is a new field of study to me.) I believe one hope is to develop better methods for self-supervised learning; I am not sure of the progress there. Most practical improvements have been on the hardware and too…

You’re totally right that there hasn’t been a fundamental architectural leap like “attention is all you need”, that was a generational shift. But I’d argue that what we’ve seen since is a compounding of scale, optimization, and integration that’s changed the practical capabilities quite dramatically, even if it doesn’t look flashy in an academic sense. The models are qualitatively different at the frontier, more steerable, more multimodal, and increasingly able to reason across context. It might not feel like a revolution on paper, but the impact in real-world workflows is adding up quickly. Perhaps all of that can be put in the bucket of “tooling” but from my perspective there has still been quite large leaps looking at cost differences alone.

For some reason my pessimism meter goes off when I see single sentence arguments “change has been slow”. Thanks for brining the conversation back.

Re: Watching AI drive Microsoft employees insane

#208
post #183

Seeing Microsoft employees argue with an LLM for hours instead of actually just fixing the problem must be a very encouraging sight for businesses that have built their products on top of .NET.

You don't want them to experiment with new tools? The main difference now is that the experiment is public.

I wouldn't necessarily call that just an experiment if the same requests aren't being fixed without copilot and the ai changes could get merged.

I would say the copilot system isn't really there yet for these kinds of changes, you don't have to run experiments on a language framework to figure that out.

Re: Watching AI drive Microsoft employees insane

#210

A comment on the first pull request provides some context: > The stream of PRs is coming from requests from the maintainers of the repo. We're experimenting to understand the limits of what the tools can do today and preparing for what they'll be able to do tomorrow. Anything that gets merged is the responsibility of the maintainers, as is the case for any PR submitted by anyone to this open source and welcoming repo…

The author of that comment, an employee of Microsoft, goes on to say:

> It is my opinion that anyone not at least thinking about benefiting from such tools will be left behind.

The read here is: Microsoft is so abuzz with excitement/panic about AI taking all software engineering jobs that Microsoft employees are jumping on board with Microsoft's AI push out of a fear of "being left behind". That's not the confidence inspiring the statement they intended it to be, it's the opposite, it underscores that this isn't the .net team "experimenting to understand the limits of what the tools" but rather the .net team trying to keep their jobs.

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