Apple - AAPL - Share Chat

Apple Arcade to be launched for $4.99 a month. Over 100 exclusive games.

[Update 1]
Apple TV + free for 1 year to those who buy a new iPhone, iMac, iPad.
$4.99 a month. Also for the whole family.
The power of the lock-in.

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Hey @rod, sorry for the delay, it’s been quite a day :sweat_smile:

The chart shows trades (buys) for each stock.

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The Super Retina XDR display, A13 bionic, 8.5 billion transistors in a chip, best machine learning platform in a smartphone, pro camera, wide camera, ultra wide camera, telephoto camera…




(Source - https://theoatmeal.com/comics/apple)

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:joy::joy::joy:

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The cheapest iPhone appears to be priced at $699 + local tax (£729 in :uk:…). That’s down from maybe $750 a year before.

Pricing was a big theme during the entire presentation. $4.99 a month for TV+!

“Nice” FX rate:
US: iPhone Pro 64GB - $999 (plus local tax, I assume)
UK: iPhone Pro 64GB - £1,049

The cheapest Apple Watch is 3 - at £199. It is two models behind but probably aimed at the FitBit users. Smart.

With India/China being some of the most important markets for Apple, presenting your hardware products as cheaper than before - or at least cheaper than the next premium Galaxy phone - may be a good strategy. They may also be taking into account the foreign exchange fluctuations, so can afford to use some of the mega cash reserves to attract new customers looking for “high end” stuff.

2019:
iPhone Pro $999
iPhone 11 $699 +local tax
iPhone XR $600
iPhone 8 $450

2018:
iPhone XS $999…
iPhone XR $750ish

Undercutting the competition.

Well done, Apple.

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Personally I’m not a fan of Apple products, I think they are overpriced compared to the competition and I’m not a fan of IOS

but I realise loads of people do like them and they have an almost cult like following (as shown in the Oatmeal cartoon above!) and that’s why I own shares :smiley:

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:+1: With Apple I’d guess it’s unusual to hear someone disliking the products but holding the stock.

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Im with Dave. Apple annoys me no end and I love Samsung. But I think Apple is a great stock. The fact Warren Buffet holds a huge position too makes me feel alright about its cost.

Apple used to be great under Jobs. Now their products just ride along on his ethereal coat tails. I live in the Apple ecosystem and can see the quality depreciation of the last few years. Sad.

@rod I don’t think we can put the ~$988 bn market cap down to fan-boys. I’ve personally never bought an Apple product, but have held the shares for years. :money_mouth_face:

I’m worried about where future innovation might come from. From a business PoV, I like the shift into services.

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@Anders I just meant that you don’t often hear about individual retail investors who actively dislike a product buying its stock.

Actually I think two of the largest incorrect Apple narratives are that it’s all about fanboys, and that the company is permanently on the brink of disaster. Disclosure: I too have long been long.

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Hey, iOS mobile devs here. At Apple’s WWDC and during the iPhone Pro presentation there were some big machine learning announcements - from CoreML for Xcode to the A13 chip.

This translates into cooler app features - from the default keyboard (text prediction etc) to photos apps to many third-party apps we use daily, including for :selfie:.

iPhone Pro’s new ASIC - the A13 bionic with CPU, GPU, Neural Engine combined - apparently has a faster (6x) matrix op. multiplication capability (kinda what most of “AI” these days does with the data when learning - a lot of ML is powered by linear algebra).

Think of the A13 bionic as what, say, Nvidia does with its GPUs but at a much smaller scale. Intel and AMD missed the mobile wave since 2007 completely.

There were tons of software updates for Xcode’s CoreML and Create ML libraries/frameworks. I think Create ML is fantastic, as you can skip writing boilerplate in Python and the GUI is intuitive. It makes ML accessible to more mobile developers. And the capability to do on-device training “overnight” on your machine - instead of sending data over to the cloud mostly, combined with a new faster chip - is a big deal.

https://community.freetrade.io/t/corning-incorporated-nyse-glw/12556/3?u=engineer

Corning got some :moneybag:from :green_apple: y’all.

$250 million to be exact :selfie:

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Apple looking to still capitalise on the looming recession, very smart play!

These results may not mean a lot to some of you. But if anyone here knows much about inference—applying a trained machine learning model to new data (e.g. a vision model that changes your video or selfie into a work of art or detects an object in your camera view and tells you the price)—this is kind of
:exploding_head:

DeepLabV3 is regarded as one of the best state of the art models used in production.

So getting iPhone 11 Pro to play with custom models with CoreML in Xcode:

From: System & ML Performance - The Apple iPhone 11, 11 Pro & 11 Pro Max Review: Performance, Battery, & Camera Elevated


The improvements for the iPhone 11 and the new A13 vary depending on the model and workload. For the classical models such as InceptionV3 and ResNet34, we’re seeing 23-29% improvements in the inference rate. MobileNet-SSD sees are more limited 17% increase, while DeepLabV3 sees a major increase of 48%.

P.S.
A cool viral Snapchat faceswap vid: https://video.twimg.com/ext_tw_video/1129123391250808833/pu/pl/K_ToyOqRyOMBOrIM.m3u8?tag=9&descending=true


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The state of the art machine learning model released by OpenAI research—GPT-2—that autocompletes sentences and writes whole paragraphs is blazingly fast on iPhone 11 Pro, apparently.

Do you want to try GPT-2? GO to www.talktotransformer.com (Transformers are part of the architecture):

Example:


(@Viktor @Ian This particular model was trained with the largest set of parameters and maybe used Reddit comments, so don’t mind its :robot: opinion on commission-free trading :upside_down_face:)

Thanks @engineer - this is really impressive. I’m going to take a deeper look tomorrow!

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@Ian Apple’s CoreML 3 capabilities are nicely summarised here by fritz.ai’s CTO (fritz specialise in tools for on-device/mobile ML):

The most exciting thing is iOS on-device training—better privacy, though it can be CPU/GPU and memory hungry.

Snap’s team has probably been using it since v1.0 for its face recognition features.

Some of the supported CV, NLP (including Q&A and Visual Q&A), audio, and text2audio/audiot2text models:

(screenshot from WWDC 2019/heartbeat.fritz.ai)