But why call them overpriced? Compared to what? Even if we take the margin reports at face value, we don’t know their training costs, etc.

Curious if this was more of an emotional take or if there’s actual evidence behind it.

I guess Eastern Europe is a bit similar (in the fact that it had a brain drain; although maybe less so since my country joined the EU), but also have a unique challenges, i.e., the EU market is fragmented and the companies need to break into a market by market.

maybe it's case by case basis; i'm not an evernote user since the botched rewrite probably 10y ago at this point

if you don’t see the difference that’s on you

ok i admitted it, now call me a hypocrite

every few years or so i consider jumping ship to android, but i don’t want to buy another set of headphones for that — projects like this make the migration path easier before fully committing

AI is used to justify the redundancies, and the company still expects to grow in this fiscal year. In the SEC filling the specifically mention more “head count” in “go-to-market” roles [1].

> a reduction of approximately 7% of our workforce

> Advances in AI, automation, and technology are reshaping how work gets done, and we're changing with them. (…) That's what this reorganization is for: a simpler structure, with fewer layers, less complexity, and less friction.

> The changes we announced today are a sign of confidence in the business, not a retreat from it. We continue to invest in key growth areas and expect total headcount to grow year-over-year this fiscal year [the SEC filling says “ The Company plans to continue hiring in key strategic areas and locations, including continuing to grow headcount in customer-facing go-to-market functions, and expects total headcount to grow this fiscal year compared to last fiscal year, as it continues to invest in future growth opportunities”]

[1]: https://ir.elastic.co/financials/sec-filings/sec-filings-det...

Vs Claude Code: I like the option to change the models, as I often prefer ChatGPT or Composer to Opus. I have a slight preference towards TUI, but not so strong to drop the models.

Vs JetBrains. I really love JetBrains but the tab complete just works so well for me.

While I agree with the sentiment, keep in mind that circumstances change over the years. What made sense (and what you've believed in) a few years ago may be different now. This is especially true when it comes to business models.

In this brave new world code is cheap, so I've created it. Let me know what do you think.

skv vendors AI/agent skills directly into your repo, pins them by commit, and records a lockfile for reproducible sync/verify. Works with Claude Code, OpenAI Codex, OpenCode, and Cursor; no registry or global cache required.

Comments URL: https://news.ycombinator.com/item?id=46842219

Points: 1

# Comments: 0

> You own the code your AI produces. Use your own name to commit AI code so that if something breaks, everyone blames you. This is critical. How well do you need to know the code your AI produces? Well enough that you can answer for its mistakes.

> Look, I’m not gonna waste your time – this thing is dumpster-fire inaccurate level in almost every realm of heart rate accuracy except for indoor cycling.

[0]: https://www.dcrainmaker.com/2024/05/sennheiser-momentum-temp...

There are a lot of cynical comments here, but I think there are people at Anthropic who believe that at some point their models will develop consciousness and, naturally, they want to explore what that means.

Not US based, Central/Eastern Europe: the selection to the teacher profession is negative, due to low salary compared to private sector; this means that the unproductive behaviors are likely going to increase. I'm not saying the AI is the solution here for low teacher salaries, but training is def not the right answer either, and it is a super simplistic argument: "just train them better".