I find it amusing that people (even here on HN) are expecting a brand new tool (among the most complex ever) to perform adequetely right off the bat. It will require a period of refinement, just as any other tool or process.
this entire thread is very reddit-y
this stuff works. it takes effort and learning. it’s not going to magically solve high-complexity tasks (or even low-complexity ones) without investment. having people use it, learn how it works, and improve the systems is the right approach
Depends on team but seems management is pushing it from https://news.ycombinator.com/item?id=44031432 "From talking to colleagues at Microsoft it's a very management-driven push, not developer-driven. Friend on an Azure team had a team member who was nearly put on a PIP because they refused to install the internal AI coding assistant. Every manager has "number of developers using AI" as an OKR, but anecdotally most d…
> management is pushing it Why?
Management is pushing it because the execs are pushing it, and the execs are pushing it because they already spent 50 billion dollars on these magic beans and now they really really really need them to work.
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…
> How are people reviewing that? I agree that not auto-collapsing repeated annotations is an annoying bug in the github interface. But just pointing out that annotations can be hidden in the ... menu to the right (which I just learned).
I'm not entirely sure why they're running linters on every available platform to begin with, it seems like a massive waste of compute to me when surely the output will be identical because it's analysing source code, not behaviour.
I do love one bot asking another bot to sign a CLA! - https://github.com/dotnet/runtime/pull/115732#issuecomment-2...
That's funny, but also interesting that it didn't "sign" it. I would naively have expected that being handed a clear instruction like "reply with the following information" would strongly bias the LLM to reply as requested. I wonder if they've special cased that kind of thing in the prompt; or perhaps my intuition is just wrong here?
I look back over the past 2-3 years and am pretty amazed with how quick change and progress have been made. The promises are indeed large but the speed of progress has been fast. Not defending the promise but “taking a very long time” does not seem to be an accurate representation.
> 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.
Saying “AI has no economic impact” ignores reality. The financials of major players clearly show otherwise—both B2C and B2B applications are already profitable and proven. While APIs are still more experimental, and it’s unclear how much value businesses can ultimately extract from them, to claim there’s no economic impact is willful blindness. AGI may be far off, but companies are already figuring out value from both the consumer side and slowly API.
Depends on team but seems management is pushing it from https://news.ycombinator.com/item?id=44031432 "From talking to colleagues at Microsoft it's a very management-driven push, not developer-driven. Friend on an Azure team had a team member who was nearly put on a PIP because they refused to install the internal AI coding assistant. Every manager has "number of developers using AI" as an OKR, but anecdotally most d…
The question is who is setting these OKRs/Metrics for management and why? It seems to me to be coming from the CEO echo chamber (the rumored group chats we keep hearing about). The only way to keep the stock price increasing in these low growth high interest rate times is to cut costs every quarter. The single largest cost is employee salaries. So we have to shed a larger and larger percentage of the workforce and th…
> The question is who is setting these OKRs/Metrics for management and why?
I find it amusing that people (even here on HN) are expecting a brand new tool (among the most complex ever) to perform adequetely right off the bat. It will require a period of refinement, just as any other tool or process.
As the saying goes, It is difficult to get a man to understand something, when his salary depends on his not understanding it.
AI is aimed at eliminating the jobs of most of HN so it's understandable that HN doesn't want AI to succeed at its goal.
I have no idea how this will ultimately shake out legally, but it would be absolutely wild for Microsoft to not have thought about this potential legal issue.