It's October in the Midwest, which means it's time for the pinball world to descend on a convention center in Chicagoland for the annual Pinball Expo. Once thought to be an entertainment sector slowly bleeding out, pinball has come back in a big way in recent years. I visited one of Chicago's last old-school manufacturers before heading down the road to see what's new in the silver-ball universe.

Behind the silver ball

Hundreds gathered on a brisk fall Friday morning outside Stern Pinball's headquarters in Elk Grove, Illinois, waiting to enter a Wonka-like wonder factory where piles of raw parts become licensed creations from Jaws to the brand-new Fallout. Stern invited me to tour its offices and factory floor before heading off to the convention in nearby Schaumburg, Illinois.

An early-morning line begins to form outside of Stern HQ as buses of Pinball Expo attendees arrive for tours.

As I stood with my tour group in Stern Pinball's HQ lobby, mouth agape at the dozens of machines lining the walls, we were greeted by the man himself, Gary Stern, who gave us some background on the company's 40-year history. After a stop at Gary's podium, we were ushered to the factory floor entrance, where Stern employee and legendary game designer George Gomez briefed us on the tour rules and answered questions. According to Gomez, "at any given time, Stern controls 90 percent of the current pinball market, and everybody else splits the rest."

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Three Rogue Amoeba audio apps add initial compatibility with macOS 27 Golden Gate. ($69/$49/$29 new, free updates, various sizes, multiple system requirements)

Om Malik (2023):

One of the key advantages of MacWhisper, as it utilizes the Whisper technology, is its superior accuracy in transcriptions compared to other services I have used. I was an early adopter of Rev.com and eventually switched to Otter.ai, for which I paid approximately $100/year. However, I have since canceled my subscription.

[…]

After comparing the audio transcripts from MacWhisper and Otter, I found that while Otter’s formatting is superior, there is hardly any difference in the transcriptions. I started with the free model, which was sufficient for my needs, and eventually upgraded to the large models. Nowadays, I primarily use MacWhisper to transcribe my voice memos, which I then import into Lex.Page.

Bon Adamson:

Whisper, which is made by OpenAI, has the distinct advantage of allowing you to transcribe audio in almost any language you may ever need to. For the time being, Otter can only transcribe English. The benefits of better accuracy and accurate punctuation that the service already holds over Siri hold up across other languages as well. If you’re looking to transcribe non-English audio accurately, Whisper is definitely the best option available on Mac.

Dan Moren:

By taking advantage of OpenAI’s Whisper framework, Audio Hijack can now take any audio it’s recording and generate a text transcript. While this process was possible before—see Jason’s lengthy post about his workflow—it required a lot of fiddling and several different tools to accomplish; it’s certainly a lot easier to simply drop Audio Hijack’s block into your existing session. If you record multiple sources, it can even appropriately label each one—though if you record multiple people via one input, say the other end of a Zoom call, it can’t distinguish between the various participants.

Inscribe (2026, Hacker News):

Apple’s new SpeechAnalyzer is the most accurate on-device speech engine we tested. It beat every Whisper model we ship, including Whisper Small, on both the clean and the noisy half of LibriSpeech, while running roughly three times faster than Small. And the API it replaces, SFSpeechRecognizer, came last on clean speech: behind even Whisper Tiny, a 40MB model.

[…]

The new API cuts word error rate by 3.5 to 4x on the same audio: from 9.02% to 2.12% on clean speech, and from 16.25% to 4.56% on noisy speech. There is no accuracy trade-off to weigh; the new API wins everywhere we measured, and it produces punctuated, cased text where the legacy engine’s output is rougher.

[…]

All five engines ran comfortably faster than real time: between roughly 12x and 40x on the M2 Pro, meaning an hour of audio transcribes in about 1.5 to 5 minutes on-device. SpeechAnalyzer was about 3x faster than Whisper Small per second of audio while beating it on accuracy.

Yuki:

SpeechAnalyzer’s ReportingOption.fastResults reads like a knob you’d reach for when you want to trade power for latency. That framing is what cost me the afternoon.

[…]

If a recording matters — and in a notes app, a lost meeting is the worst thing that can happen to a user — then the container you write while recording has to be PCM in CAF. Not m4a, and not AAC-in-CAF either.

[…]

AVAudioEngine’s inputNode silently ignores your device selection

[…]

I wanted summarization to run on-device. Everything else in Nib’s transcription path does, the audio never leaves the machine, and it would have been a much cleaner story to tell.

But 4,096 tokens for the Foundation Models isn’t enough.

Previously:

• Apple Foundation Models in appleOS 27
• WhisperPad Rejected From the Mac App Store
• Overcast Transcripts
• Generated Transcripts in Pocket Casts
• Apple Podcasts Transcripts
• Dictation and Predictive Text in macOS Sonoma and iOS 17
• macOS vs. Dragon Dictation

A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the special-purpose chips called graphics processing units.