Viewing profile — kwindla
kwindla
HN member- Joined
- Sun, May 27, 2012, 7:21 PM UTC
- HN karma
- 3,328
- Public activity
- 453 items
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About kwindla
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Recent public activity
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Comment #47807416
We started getting customer pings at 6:15 PT. This is impacting some large ISPs (AT&T) in the US and globally.
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Comment #47756007
This is the topic of almost every conversation I'm having with friends who are programmers right now. The compiler analogy (we basically never read compiler output) is the thing I …
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Comment #46892614
Yes, but also ... the analogy to assembly is pretty good. We're moving pretty quickly towards a world where we will almost never read the code. You may read all the assembly that y…
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Comment #46892424
Happy to answer questions about this (or work with people on further optimizing the open source inference code here). NVIDIA has more inference tooling coming, but it's also fun to…
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Comment #46769784
The Twilio integration made me smile. (For context, the default way to use this is a WebRTC connection from your mobile device to talk to Claude Code, but any network transport sup…
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Comment #46485191
I'm a big Gatsby fan and recommend this recent Wesley Morris podcast about the book. https://podcasts.apple.com/us/podcast/our-last-chance-to-tal... Morris has written some of my f…
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Comment #46384843
It depends on what you mean by replacing. The integrated developer experience is much better on Vapi, etc. The goal of the Pipecat project is to provide state of the art building b…
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Comment #46381541
One easy way to build voice agents and connect them to Twilio is the Pipecat open source framework. Pipecat supports a wide variety of network transports, including the Twilio Medi…
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Comment #45586199
> Sounds like it. Dude you can be honest here. I'm going to politely weigh in here and say things Sean won't say about himself. You're talking to someone who has spent the last ten…
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Comment #45586138
I honestly can't tell if this is trolling. LEGO bricks are pretty new technology, in the scheme of things. The original LEGO company "binding brick" was created in the late 1940s. …
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Comment #45586091
I've done a fair amount of fine-tuning for conversational voice use cases. Smaller models can do a really good job on a few things: routing to bigger models, constrained scenarios …
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Comment #45583183
I 100% agree with Sean that the computer is an exploration machine. There are lots of net positive things for kids (and non-kids) that LLMs make possible. Just like there were lots…
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Comment #45583058
This repo is one possible starting point for tinkering with local agents on macOS. I've got versions of this for NVIDIA platforms but I tend to gravitate to using LLMs that are too…
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Comment #45017947
As someone who spends a lot of time looking at timestamped log lines to debug Pipecat pipelines, I'm a big fan of this work from Aleix. In general, I have three pain points with de…
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Comment #43795069
https://www.slate.auto/en The configurator is fun: https://www.slate.auto/en/personalization
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Comment #43292316
In general, for realtime voice AI you don't want this model to support multiple speakers because you have a separate voice input stream for each participant in a session. We're not…
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Comment #43292289
I've talked about this a lot with friends. Endpoint detection (and phrase endpointing, and end of utterance) are terms from the academic literature about this, and related, problem…
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Comment #43287516
A couple of interesting updates today: - 100ms inference using CoreML: https://x.com/maxxrubin_/status/1897864136698347857 - An LSTM model (1/7th the size) trained on a subset of t…
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Comment #43287423
It takes about 45 minutes to do the current training run on an L4 GPU with these settings: # Training parameters "learning_rate": 5e-5, "num_epochs": 10, "train_batch_size": 12, "e…