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Meetings. Voice commands. Dictation. Chat. All on your Mac. All private. Reads context from any app. Build it your way. $240/year. Lifetime: $720.

London
Joined December 2024
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alter | Contextual AI for Mac retweeted
The 2025 AI Dictation Orbit Award winners are HERE. These are the voice tools that actually showed up this year — the ones people kept using long after launch day. @WisprFlow, @WillowvoiceAI, @MacWhisperapp, @Itoassists, @alterhq_ ,@aquavoice, @superwhisper.
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Background Jobs are live. Execute any Alter Action silently—no conversation window, no UI clutter. Grammar fixes, customer support automation, instant recommendations. One keystroke. Done. This is what invisible automation actually looks like. youtube.com/watch?v=nKx7Ybic…
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🧵 Teach Alter Your Defaults 1/ What if your AI assistant actually remembered who you are? Not in a creepy way, in a useful way. Today, we're introducing Manage Settings, the first step toward giving Alter memory and a lot more.
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3/ The most powerful setting? Your persona. Tell Alter who you are and how you work. "I'm a senior software engineer specializing in cloud infrastructure. I prefer concise, technical explanations with code examples." Now every interaction becomes more relevant, more useful, more you.
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Stop taking notes like it's 1995. We just shipped Live Notepad. It's an AI assistant that sits next to your meeting and actually helps you capture what matters. No more choosing between listening and typing. youtu.be/UZ9B9ZJQUfE
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What's new with Pyannote 4? 1. better speaker assignment, less confusion vs v3.1 2. 15x faster training with optimized tooling in pyannote.audio 4.0 3. Exclusive speaker mode - fixes Whisper/STT timestamp reconciliation headaches More on pyannote.ai/blog/community-1
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alter | Contextual AI for Mac retweeted
PREVIEW: Whisper Large v3 Turbo on iPhone - 2.5x faster on the 17 Pro GPU compared to 16 Pro - 1.25x faster on the 17 Pro Neural Engine compared to 16 Pro - Neural Engine is still 4x faster than GPU on 17 Pro, down from 8x Full blog with thermal tests and more model coverage dropping tomorrow.
Happy iPhone performance benchmarking day to those who celebrate! Incoming on-device inference benchmarks: Devices - iPhone 16 Pro vs 17 Pro - iPhone 17 Air vs 17 Pro Models - @OpenAI Whisper Large v3 Turbo - @NVIDIAAI Parakeet v3 - @pyannoteAI v3
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Language support is hit or miss. Claims 25 languages but quality varies a lot. English and French work great. Tested Dutch with a colleague - pretty rough results.
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Our conclusion: Use both depending on the job. Parakeet = meetings, podcasts, content creation Whisper = legal, medical, anything where every word matters Local speech-to-text is finally good enough for most people.
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