pipeline_peak

I’d say this is closer to Blazor

We already have Typescript, I don’t see the purpose.

Foldable iPhones that break and touch screen MacBooks in an age where non professionals do virtually everything in a browser.

What exactly does Apple do different again?

The smartphone succeeded partly because it consolidated things we previously carried separately: a phone, iPod, camera, GPS, and more.

Assuming I’d buy one of these things, transitioning between each use case makes it yet another thing to carry.

Wearable devices at least alleviate that problem.

If the console supported CDs it would cost even more.

Why is Carmack still someone we look up to in the present? I'm aware of what he did in the past but compared to the likes of Torvalds and Bellard he doesn't seem to still be doing anything noteworthy other than yet another AI company.

Total e-waste product.

Everyone knows how badly these things break with moderate use. You’re basically buying with the expectation you’ll have to replace it.

Boring company, lost vision.

Linux had an existing population of Unix engineers who had a strong incentive to build something that could replace the Unix systems they were paying for.

Ladybird doesn’t replace something developers are already paying for, so the incentive to make substantial, high-quality contributions is much weaker.

I’m not really sure what the end goal is with Apple investing so heavily in local AI hardware.

Feels like they’re doing it for the sake of getting with the times, but why would the average Mac User care? I wonder if this an answer the OpenClaw craze.

Neil Hagerty (Royal Trux, Pussy Galore) Talks Justin Bieber’s Purpose

https://talkhouse.com/neil-hagerty-royal-trux-pussy-galore-t...

You mean the Ai that unwillingly pops up on my Google searches?

> I don't think bringing it back will bring back the good old days.

Why does it have to be all or none? There’s clearly a demand for this.

When did the Xbox start looking like a Braun radio?

It’s not Google’s responsibility to put RSS into their products.

The only point the author made that fits the title is what they did to FeedBurner.

I heard this from a friend who

>What will AI be doing for us in five years from now?

I don’t know, but the majority of it will be running in data centers, not high end consumer grade workstations.

>Will concerns of privacy increase or decrease in that time?

People have been more concerned about privacy than ever, it hasn’t seemed to stop people from using cloud AI services.

The fact that Apple missed the starting gun on AI to the point that they’re using Googles also inferior Gemini, I’m not compelled these Apple AI chips have a consumer.

Anyone savvy enough to do their own AI hosting is more likely to use Nvdia boxes, etc. Apple workstations always been more successful in Art/Graphic design. That’s why they cut off their server hardware long ago.

>How does Apple plan for that future?

Ideally by making attractive simple products regular users can buy. The iPhone and MacBook Neo seem a step in that direction. AI vision and Apple Vision scream 90s pre-iMac Apple.

How is it going to help them?

Do you really think the average Apple user will use it when there’s already better AI provided by OpenAI and Anthropic which don’t require advanced local hardware?

Local AI isn’t gonna help Apple, especially not with the rate hardware prices are increasing.

They need to pull out of this half assed bandwagon approach.

What ruined the company was refusing to turn ID Tech into an ecosystem to compete with Unreal and Source Engine.

Never understood why anyone would use Google Home or Amazon Echo when we all have phones.

A DSLR camera is better than a phones camera, a voice assisting device seems replaceable however.

Open source projects are only successful when they make what they replace obsolete. This worked with Linux and GCC but this isn't gonna work with LLM's.

Who's gonna pay to power an open source AI? Will it perform well enough to make Chat-GPT and Claude obsolete?

Codex does this in VSCode as well.

Compilations break all the time and those symbols either become useless or it’s just quicker to use grep.

I’m not thrilled about any sort of Apple AI. I see it more as the convenience of platform lock in that ideally would be in the hands of all serious AI contenders but we all know that’ll never happen.

Every mainstream product seems to have their own “SmarterChild on steroids” bolted on top (Gemini for Google, Rovo for jira, Copilot for Microsoft everything, etc).

I’ll still use the serious ones like ChatGPT/Claude as my main but I think these companies know that and are just trying to jump the bandwagon so they don’t look outdate. Either way, they can be surprisingly convenient and make up for UI/UX learning curves.

What else would they have produced with banana crops that people would’ve wanted?

We’re gonna be streaming games as the norm soon anyway so I could care less.

This reads like an ant screaming at someone’s foot before they get stomped.

Ferrari’s are supposed to look sexy.

This looks like if an iPod Mini had sex with a Norelco Shaver.

The more specific your work is, the more these LLM’s seem to struggle.

If your work was previously googling stack overflow, it can be incredibly useful at working through that. Which let’s face it, that’s what a lot of us do.

How it feels to chew 5 gum

If there’s anything I really want written in Rust, it’s a Chrome extension to filter out all the HN posts about Rust.