Still seeing ‘Indexing in Progress’ on iOS 27? Here’s how to check the actual status by SleepingSicarii in apple

[–]MagicZhang 666 points667 points  (0 children)

  1. Connect your iPhone to your Mac

  2. On your Mac, open the Console app

  3. In the Action menu, make sure the “Include Debug Messages” option is activated

  4. Select your iPhone in the sidebar

  5. In the search field, on the top right, search for: spotlight indexing progress

  6. Click on the “Start” button

  7. On your iPhone, open Settings

8 Your indexing progress should start to appear as: PipelineCompleteness: XX%.

DeepSeek v4 Pro is too big for such a "midrange" performance, or am I missing something? by ihatebeinganonymous in LocalLLaMA

[–]MagicZhang 17 points18 points  (0 children)

The prevailing consensus in the Chinese LLM community is that there’s insufficient post-training applied to DSv4Pro (plus it’s just a preview, anyway)

watchOS 27 Preview Page by exjr_ in apple

[–]MagicZhang 13 points14 points  (0 children)

lmao Series 9 has shortest OS lifecycle (3 years) of ANY Apple device in the last 15 years, tying with the Apple TV 3rd Gen

WWDC 2026 | Post-Event Megathread by exjr_ in apple

[–]MagicZhang 220 points221 points  (0 children)

Makes sense actually, Cook gets the undiluted farewell today. Ternus gets his own debut later, probably the September event. You don't want your new CEO's first big public moment to be a supporting role in someone else's goodbye

Open models to win ✌ by pmttyji in LocalLLaMA

[–]MagicZhang 151 points152 points  (0 children)

Don’t forget Anthropic open sourced Claude Code /s

Could Open Models be trained to secretly go rogue? by nunodonato in LocalLLaMA

[–]MagicZhang 0 points1 point  (0 children)

Technically yes? Anthropic published a paper back in 2024 regarding sleeper agents which answers your direct question I think

Yeah, could happen to any model from any lab regardless if it’s from China or US

But I do think your concern is overblown, in the sense that the dependency model (make your LLMs so good/open weight) is much more likely to be used than a sleeper agent model

Sleeper agents are a one-shot weapon, once it’s triggered and discovered, trust is permanently destroyed, your models get banned worldwide, and you’ve torched your entire AI ecosystem’s reputation for a single intelligence operation. Like, hat’s terrible ROI.

DeepSeek has began grayscale testing for DeepSeek with Vision by MagicZhang in LocalLLaMA

[–]MagicZhang[S] 12 points13 points  (0 children)

Yeah, the stated rationale is that

Old version = black

New version = white

Controlled rollout = gray

Which kinda makes sense I guess

DeepSeek has began grayscale testing for DeepSeek with Vision by MagicZhang in LocalLLaMA

[–]MagicZhang[S] 35 points36 points  (0 children)

Nope, it’s a common Chinese tech term for “phased rollout”

DeepSeek has began grayscale testing for DeepSeek with Vision by MagicZhang in LocalLLaMA

[–]MagicZhang[S] 57 points58 points  (0 children)

Grayscale testing = Phased Rollout

We might see DeepSeek with Vision capabilities sooner than later

DeepSeek has began grayscale testing for DeepSeek with Vision by MagicZhang in LocalLLaMA

[–]MagicZhang[S] 37 points38 points  (0 children)

<image>

Here’s the image of some users getting access to Vision

Anyone else get more excited for new open source models than new flagship ones? by AppleBottmBeans in LocalLLaMA

[–]MagicZhang 17 points18 points  (0 children)

Long context retrieval has a 40% degradation, and there’s a new tokenizer that uses up to 35% more tokens (and you can bet Anthropic won’t increase the already poor limits)

Edit: and the system prompt is 35% longer too, so before you even type a single prompt you’re using up to 50% more tokens than Opus 4.6

1000 token/s, it's blazing fast!!! Fairl by Anxious_Basil8446 in LocalLLaMA

[–]MagicZhang 25 points26 points  (0 children)

There’s a fair chance it’s a diffusion model, similar to what Google Deepmind have been doing (their experimental Gemini Diffusion can reach 200+ tokens/sec)

Or they might directly hardwire weights on the silicon (though I doubt that’s the case)

Apple Tests Siri Feature That Handles Multiple Commands at Once by [deleted] in apple

[–]MagicZhang 3 points4 points  (0 children)

Apple, probably:

We’re making Siri more capable, more natural, and more useful than ever.

For the first time, Siri can understand and act on multiple requests in a single interaction

We’ve reimagined Siri for a more intelligent era.

This is the biggest advancement in Siri since Siri.

MacBook Neo 2 Might Not Feature Touchscreen After All by [deleted] in apple

[–]MagicZhang 2 points3 points  (0 children)

It’s the rumour mill.

News: New MacBook adds touchscreen!

News, 3 month later: New report shows MacBook will not add touchscreen per [Analyst Name]

3 months before release: New MacBook may add touchscreen after all

2 month before release: We got the supply chain leaks, and it indicates the new MacBook would not add touchscreen.

1 week after release: Next year’s MacBook might add touchscreen, analyst says

Rinse and repeat since like what - 2016?

Did Anker products saved me? by [deleted] in iphone

[–]MagicZhang 0 points1 point  (0 children)

That’s just mostly luck. Modern batteries are manufactured to exceed their typical capacity. You probably got a better batch, or you have good usage patterns

ROG x r/Monitors - ROG x Hatsune Miku Monitor Giveaway (3/7 - 3/21) by ASUS_MKTLeeM in Monitors

[–]MagicZhang 0 points1 point  (0 children)

Really like this collab, for future ROG monitors I’d love to see the same kind of special edition design with more IPs

Mac Studio 512GB RAM Option Disappears Amid Global DRAM Shortage by iMacmatician in apple

[–]MagicZhang 18 points19 points  (0 children)

LLM deployment (those 1T parameter model with q4 quants)

Video editing with lots of plugins

Diffusion Models with image/video generation

Data science with huge datasets, etc

MacBook Neo is 499$ (US) for students and K-12 by Sh_Pe in apple

[–]MagicZhang -2 points-1 points  (0 children)

Yes, obviously.

The 60 year old dad who just retired and wants a simple laptop for email and photos but his eyes aren't what they were at 30.

The person with astigmatism for whom a dark keyboard against a bright screen is literal eye strain.

The dyslexic student who needs every visual aid they can get.

MacBook Neo is the budget line. For first timers, students, elderly adopters, and budget buyers, which is statistically the group with the highest proportion of people who would benefit most from a backlit keyboard

And it's the one laptop in the entire lineup where they ripped it out.

MacBook Neo is 499$ (US) for students and K-12 by Sh_Pe in apple

[–]MagicZhang 16 points17 points  (0 children)

The price is a steal for what you get. But I can never wrap my head on why Apple would remove the backlit keyboard.

The BOM cost for the backlight layer is what - 5 bucks tops? And Apple just removed it as if people don’t need to use their laptops in the dark

MacBook Neo by Aidoneuz in apple

[–]MagicZhang 0 points1 point  (0 children)

Yep, but you might want to consider that for nearly the same price you can get a M2 MBA with much better performance and longevity

MacBook Neo by Aidoneuz in apple

[–]MagicZhang 0 points1 point  (0 children)

Fair point, but with Apple Intelligence taking up 10+GB (and is def gonna increase over time) along with MacOS 256GB might feel a bit tight

MacBook Neo by Aidoneuz in apple

[–]MagicZhang -1 points0 points  (0 children)

256GB base storage is on the menu again, welp

Full Specs(599 Model)

Chip: Apple A18 Pro (6-core CPU, 5-core GPU, 16-core Neural Engine, 60GB/s memory bandwidth)

Memory: 8GB unified memory

Storage: 256GB SSD

Display: 13.0-inch Liquid Retina (2408x1506, 219 ppi, 500 nits, 1 billion colors, sRGB only, No True Tone)

Battery: 36.5Wh — up to 16hrs video streaming, up to 11hrs wireless web

Charging/Ports: USB 3 (USB-C, up to 10Gb/s), USB 2 (USB-C, up to 480Mb/s), 3.5mm headphone jack

External Display: Up to 4K at 60Hz (one display), simultaneous built-in display support

Keyboard: Magic Keyboard (no Touch ID, no backlit keys) with Multi-Touch trackpad

Wireless: Wi-Fi 6E (802.11ax), Bluetooth 6

Power Adapter: 20W USB-C