Feels like marketing bs. The main thing that has driven the adoption of fanless designs is the improvement of the silicon process. The better the process gets, the more performance you can get out of the same watts. There are many fanless designs from other verndors as well.
Hmm thought so. They make hardware chips first, right, packing as many cores and transistors as possible in heat efficient manner? They make software like OS, apps, UX on top of the chips? Or is it that they plan the software first and build custom chip that is powerful and efficient enough to support their software vision? Seems unlikely, but just want to know.
Can you explain a bit? How can they design chip based on software requirements? I mean - they can add more threading, cores, etc. to ensure that heavyweight software like gaming, photo or video editing etc. can benefit from them, but still, the chip design is generic and any heaveweight software can benefit from it, not necessarily Apple's own upcoming in-house software, right?
While I agree with you on sentiment, bandwidth and the compute that power the websites these scrapers cost money, most people that have websites cannot afford to provision the capacity required to serve these requests.
Additionally the objective of these pages is to serve ads to real people or funnel real people to paid products, AI traffic for them is just a cost at best and a denial of service attack at worst.
Because it involves gatherings of large crowds in public spaces. It is their job to make sure that such gatherings result in no harm of either the protesters nor the local community.
- Comes with a simple remote control which in addition to controlling the AppleTV also allows muting and changing the volume of your TV. As someone who uses my TV exclusively with the AppleTV this means my TV's remote simply sits in a cupboard.
- If you have an iPhone you can use it as a remote over WiFi, I do this all the time to turn off the TV from a room over when the kids need to stop watching. The iPhone can also act as a remote keyboard which can be very convenient for text input.
- The voice search feature works very well in my experience. The remote has a mic in it and you simply hold one button and dictate what you're searching for and 99% of the time for me it works perfectly.
- It's very fast and responsive, allows quick and easy switching between apps.
- It's popular such that any streaming provider probably has an app for it.
Also, Infuse, which is a nice app for playing video files over the network and support Jellyfin, Plex, and others. It also have Dolby and DTS decoders, which works great as the box only have PCM output.
I should note that, when it comes to remote, one downside of Apple TV is that you can have at most one official remote paired to it at the same time. If you want two remotes for convenience, there are some third-party remotes that effectively present themselves as Bluetooth keyboards, but you lose some of the features with them, and they are usually flimsy plastic.
I am an Apple critic that has long bemoaned their practice of trying to lock people into their walled garden.
In the past, I used gaming consoles to stream, which I thought worked well.
I finally, angrily caved and bought an Apple TV because I had an app (LFC TV) that would only stream via AirPlay. After using it for a bit, I have to say I love the thing.
I liked it so much that I bought a second for my other TV.
Reasons:
- Build quality. The remote is machined aluminum and feels like a weapon.
- HDMI CEC implementation. I used HCMI CEC on the consoles I owned, but there was always something that didn't work quite right. The Apple TV seems to nail it on both setups I have YMMV.
- AirPlay. This one makes me a little angry, but if you find a need to stream from an iPhone, the Apple TV is pretty much the only game in town.
AirPlay is a killer feature for me and I love the AppleTVs I have. However, for kids TVs or the TVs that I don't use often, I just get an AirPlay capable 4k Roku stick. They're small, simple and work great as AirPlay receivers.
Lower power consumption, actual 10-foot interface rather than squinting at the TV, lower maintenance, and (depending on your OS of choice) less intrusive OS-level advertising.
I do it with an air mouse keyboard combo[1]. See below, it's in between, it's small like a remote and sucks to type on, but better than selecting letters onscreen.
I tried hooking up a Kodi install to my TV to get decent smart functionality on the old thing. Turns out remote control UI is actually quite hard to get right and all the open source options seem to miss the mark, despite the decades of hard work and best intentions.
With modern smart TVs I don't think you need any external boxes, but if you like to separate the smart from the TV, I don't think there are that many better options than either Apple TV or Chromecast with Android TV, depending on what tech company you'd like to share your data with.
Asides from what the other replies mentioned, various streaming providers have PC streaming platforms that aren't as good as their streaming apps.
I'm currently watching Canadian and world championship curling, and the rights-holder in Canada (TSN) has a website that logs me out between every single game.
Otherwise I watch mostly Plex, and while there is a 10-foot interface (Plex HTPC), for whatever reason it stops my PC from sleeping when content is paused, so I'm forced to use the non-HTPC interface.
When watching TV, people enjoy using a remote to navigate the interface, instead of with keyboard/mouse/trackpad, potentially having to get up and go to the laptop to do that.
> If you personally work on developing LLMs et al, know this: I will never work with you again, and I will remember which side you picked when the bubble bursts.
After using Claude code for an afternoon, I have to say I don't think this bubble is going to burst any time soon.
I think there is a good chance of the VC/Startup side of the bubble bursting.
However, I think we will never go back to a time without using LLMs, given that you can run useful open-weights models on a local laptop.
share your settings and system specs please, I haven't seen anything come out of a local LLM that was useful.
if you don't, since you're using a throwaway handle, I'll just assume you're paid to post. it is a little odd that you'd use a throwaway just to post LLM hype.
Happy to post mine (which is also not behind throwaway handle).
Machine: 2021 Macbook Pro with M1 Max 32GB
LLMs I usually use: Qwen 2.5 Coder 7B for coding and the latest Mistral or Gemma in the 4B-7B range for most other stuff
For interactive work I still use mostly Cursor with Claude, but for scripted workflows with higher privacy requirements (and where I don't want to be hit with a huge bill due to a rogue script), I also regularly use those models.
If you are interested in running stuff locally take a look at /r/LocalLLaMA [0] which usually gives good insights into what's currently viable for what use cases for running locally. A good chunk of the power-users there are using dedicated machines for it, but a good portion are in the same boat as me and trying to run whatever can be fit on their existing local machine, where I would estimate the coding capbilities to lag ~6-9 months in comparison to the SOTA big models (which is still pretty great).
Not sam. I am running it with ollama on a server on my lan with two 7900XT. I get about 50-60 tokens per second on phi4-mini with full precision, it only loads on a single card.
The few requests I tried were correct, I think that phi4 the 14 b parameters model produced better code though. I don't recall what it was, it was rather simple stuff though.
QwQ seems to produce okay code as well, but with only 40GB of vram I can only use about 8k context with 8bit quantization.
> I haven't seen anything come out of a local LLM that was useful.
By far the most useful use case for me, is when I want to do something in a repl or the shell, I only vaguely remember how the library or command I am about to use works and just ask it to write the command for me instead of reading through the manual or docs.
That’s funny because after using Cursor with Claude for a month at work at the request of the CTO, I have found myself reverting to neovim and am more productive. I see the sliver of value but not for complex coding requirements.
I had the same experience. Initially it was a fun and exciting, but in the end, the consistent small bugs and destructive agentic behaviour (deleting random code) made it less productive than simply writing the code yourself. And if you write yourself, you already understand it, and it's of a higher quality (unless you are a beginner).
The richest man in the world in 2008 was Warren Buffett with a net worth of 62 billion dollars. Now with 62 billion you are not even in the top 20. So the growth went into wealth inequality.
You see the contradiction between this and your previous post?
Here you say we can't eat/shelter better with GDP increases because they aren't distributed; there you said that [spending on] ability to eat/shelter was what they measured.
That was fun, with a bit of authority you can convince the LLM the meeting is for another purpose. I had Musk thrown out for interfering with Mr Browns deposition.
Yes, you can use your imagination to do whatever you want in the game, that's the point. It's like a sandbox. It will generate new characters and adapt to you. Yet, if you want to win it, you have to try to achieve its goal.
