Building projects of my own. https://nitter.cf/t.co/yVxMjk1sMF https://nitter.cf/t.co/eQ7jqXOzfA more coming
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Joined October 2009
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I'm releasing the first of my internal tools for managing my apps.
This is Growbase, and the first *free* feature is simple management of App Store reviews.
Finally we get "enhance" from the movies in real life!
Sound on 🔊 Listen to the difference.
Our new open multilingual NemotronLabs RE-USE model from NVIDIA researchers cleans up background noise, echo and other audio distortions to make speech clearer. All with just 9.6M parameters.
Try the demo and download the model on @huggingface → huggingface.co/nvidia/NVIDIA…
Vojtech Rinik retweeted
Sound on 🔊 Listen to the difference.
Our new open multilingual NemotronLabs RE-USE model from NVIDIA researchers cleans up background noise, echo and other audio distortions to make speech clearer. All with just 9.6M parameters.
Try the demo and download the model on @huggingface → huggingface.co/nvidia/NVIDIA…
I had no idea Mitchell Hashimoto was wealthy 😅
Nice. Just did this for whispermemos.com while waiting in the dentist office.
Vojtech Rinik retweeted
Added a script to run this on @huggingface Jobs with one command (@vllm_project + NVIDIA's NeMo plugin, inside the job).
It's very fast: 4.9 hours of 1940s radio transcribed in 2.5 min once the model is up. Whole job, setup included: $0.48.
Speaker tags + word timestamps, here on Hitchcock's 1940 Suspense audition:
[5:21] spk2: No, I'll go.
[5:39] spk1: Is it not true that you let lodgings?
huggingface.co/datasets/uv-s…
Meet NVIDIA Nemotron 3.5 Transcribe 🎙️
An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint.
Watch it keep track of who said what when everyone’s talking at once.
1/ 🧵
Exciting! Expect it in @WhisperMemos by end of the day.
We ran @nvidia Nemotron 3.5 Transcribe through our speech-to-text benchmark.
It has the lowest word error rate on real phone calls of the 20 models we tested, at 2.48%. We score real calls separately from clean test clips, on conversation recordings licensed from Ocular.
Congrats to the NVIDIA team.
Full results: benchmarks.cekura.ai/stt
I bought an M5 Pro 16" inch laptop earlier this year for 3,600€.
Apple today announced the same machine with nicer display and 15% lighter for 4,559€.
Happy with my purchase, although the lower weight would've been nice.
my current single lifemaxxing stack:
- home always tidy
- morning run or gym 6×/week
- caffeine under control
- lunch with a friend
- 6-7 @focusmate sessions per day
- twitter blocked 9am-5pm
- deleted instagram
- $100/mo claude subscription
life is good
received support email from user's AI assistant.
replied asking to "have their human try this and that"
kinda fun 😅
