frenchie4111

Does it read like AI slop to anybody else?

I enjoy Fei-fei li's communication style. It's straight and to the point in a way that I find very easy to parse. She's one of my primary idols in the AI space these days.

This is awesome! I'd love to print one for my office. Any chance there is an stl around I can print without having to get the script running?

(I agree we shouldn't call it programming)

Uhm – isn't "coax my goddamn tooling into doing what I want" basically all we did pre-LLMs anyway?

Are there other Google services down, or just YouTube?

In my experience I have never once thought about what color means what, but if the colors are wrong I can "sense" that something is broken. It almost becomes a second sense, the patterns are recognized somewhere deep in my mammal brain

My (certainly biased, long term apple user) opinion is that Liquid Glass is delightful. I upgraded as soon as I could, and it's honestly a joy to use

I am curious to hear an expert weigh in on this approach's implications for protein folding research. This sounds cool but it's really unclear to me what the implications are

I am genuinely interested where the strong negativity towards Siri has come from in recent culture. From what I gather it's likely due to the high expectations we have for Apple. But what I don't really get is why is there not a similar amount of negativity being directed at Google or Samsung, who both have equally shit phone AI assistants (obviously this is just from my perspective, I am a daily user of both iOS and a Samsung Android)

I am not trying to defend Apple or Siri by any means. I think the product absolutely should (and will) improve. I am just curious to explore why there is such negativity being directed specifically at Apple's AI assistant.

Vesting window?

Did you win the race to be the first comment?

Next week on HN... Show HN: A GitHub Action that uses AI to answer PR quizzes

Very awesome project, can't wait to get a chance to try it out.

I feel like you would benefit from having a real-life photo of "The deck" feature. Your description does it justice, but your graphic does not. (To me)

What about ages?

If you are interested in doing this for commercial control systems, come talk to me.

Everyone is reading this as intentional anti-competitive practices. While that may be true, isn't another reasonable explanation that the Copilot development team is moving as fast as they can and these sorts of workarounds are being forced through in the name of team velocity? It takes a lot more time/energy to push public APIs and it's probably a very different team than the team developing the copilot extension. Seems a bit like a "don't attribute to malice..." kind of moment to me

Thanks for the quick response!

Mild nit: your website hijacked the back button, I had to spam click back like 30 times to get back to this hacker news comment thread

> the person running them gets fired or quits partway through at least half of the time

This is a good point. Or the migration appears to have been very successful to management (before it's actually complete from an engineering perspective) and they get promoted / moved onto higher priority work.

Either way: make sure you are keeping the rest of the relevant engineering organization informed about how the new system works and how the migration is going to work.

Lot's of good advice here. Some things I will throw in:

Find ways to ship smaller versions of the migration first. If possible: isolate features that can be migrated on their own.

If possible silently run v2 in parallel with v1 for as long as it takes to be comfortable with v2.

Assume that at some point you are going to have to completely halt the migration, go back to v1-only, fix something, and restart the migration.

I'd bet it's going to take 2-3x longer than you think to completely deprecate v1.

I am not on the bleeding edge of this stuff. I wonder though: How could a safe super intelligence out compete an unrestricted one? Assuming another company exists (maybe OpenAI) that is tackling the same goal without spending the cycles on safety, what chance do they have to compete?

Apple will only release a second "Pro" model when they can make significant advancements over the previous one. Likely we will see a Pro then Air (then Pro...) tick tock cycle for a while as the technology develops

Question is: what part of this growth curve are we on now?

Has anyone found a demo of this thing? I'm super curious

That was my sense as well. I would have appreciated some clarification on where the line between 1 and 2 was, although I am sure a YouTuber will deep dive on it as soon as they have it in their hands

Unfortunately OpenAI has a pretty big "dollars and hours spent on GPUs" moat right now. I imagine Apple is already hard at work building their own models, but until then they will leverage 3rd parties

That is fair

"You feel well informed and rarely hear new information secondhand."

I am not sure I agree with the premise that I should not expect to hear information secondhand. I find it fairly effective to have a network of well connected individuals in the org who will ping me when there is new information I need to know about. We help each other stay more disconnected (and productive) by acting as information filters/forwarders. I allow these people to have interrupt privileges for me because I know if they are sending me a notification it has been vetted for urgency

lmao - Is someone making the lightsaber sounds with their mouth?

This is very cool, thank you. You should add this to https://github.com/dhamaniasad/awesome-postgres