tmshapland

7 ms·

31.
by tmshapland 1y ago
Exactly.
32.
by tmshapland 2y ago
Sad.
33.
MIT Physicist's "Torpedo Bat" Sparks MLB Power Surge(nytimes.com)
5 points by tmshapland 2y ago|0 comments
34.
by tmshapland 2y ago
Awesome! We've been waiting for Krisp's voice isolation on the server side in the Voice AI community! This is an important advancement for the community! Congrats, Krisp team!
35.
Donald Sherman orders a pizza using a talking computer, Dec 4, 1974 [video](youtube.com)
2 points by tmshapland 2y ago|0 comments
36.
Leibniz made conceptual advances that lie behind our digital world(newyorker.com)
2 points by tmshapland 2y ago|1 comments
37.
by tmshapland 2y ago
Thank you for posting this.
38.
Tokyo Yakult Swallows (Baseball) Coordinate Fan Cheer [video](youtube.com)
2 points by tmshapland 2y ago|0 comments
39.
Why Do Baleen Whales Migrate? [pdf](fnw.ratcatinc.com)
1 points by tmshapland 2y ago|0 comments
40.
Radiohead's "Fitter Happier" with a Modern Speech Synthesis Engine(twitter.com)
2 points by tmshapland 2y ago|2 comments
41.
by tmshapland 2y ago
For Radiohead’s 1997 ‘Fitter Happier’, Thom Yorke used the MacInTalk speech engine’s ‘Fred’ voice to produce the vocals. We updated the vocals with ElevenLabs modern speech synthesis. Here’s a link to the code. https://github.com
42.
by tmshapland 2y ago
"So we’re going to make a damn iOS app." Love it.
43.
"False propositions may disgust us." Functional Neuroimaging of Belief(onlinelibrary.wiley.com)
1 points by tmshapland 2y ago|1 comments
44.
by tmshapland 2y ago
Here is a public link to the paper. https://drive.google.com/file/d/1QOTn2gme6AlfCnfmFa-gXSrhuFO...
45.
Belief Aversion Training: A Method for Changing Your Beliefs(github.com)
3 points by tmshapland 2y ago|1 comments
46.
by tmshapland 2y ago
I've always wanted to be able to update what I believe and feel about something like I can update code. This method has worked for me, although it's more like training a neural network model than editing a file.
47.
by tmshapland 2y ago
The novel part of the method is in how it separates noise from the recurring shape in the time series. In the paper, they are separating random noise from recurring ramp shapes. But the same procedure could be implemented for other recurrin
48.
by tmshapland 2y ago
This is so cool! Thanks for sharing! Would you mind pointing me to where I could listen to some of the sounds produced by analog electronic synthesizers running ramp functions? I'd love to hear it. I looked through the repo and didn&#x
49.
Extracting time series features: a powerful method from a obscure paper [pdf](rcin.org.pl)
49 points by tmshapland 2y ago|5 comments
50.
by tmshapland 2y ago
Often it seems that old papers are the most insightful. Back then, the research cycle was shorter and scientists had more institutional support. They had more time to think. This paper has always amazed me. It's an incredibly creative
51.
by tmshapland 2y ago
Recognizing spoken letters, like email addresses, is one of the last mile problems in Voice AI. We took some lessons from computer vision to address the issue.
52.
Speech-to-Text for Email Addresses in Voice AI(canonical.chat)
1 points by tmshapland 2y ago|1 comments
53.
by tmshapland 2y ago
Thank you for posting this.
54.
RAG Is a Band-Aid. Gemini 2.0 Flash Lite Is All You Need(canonical.chat)
3 points by tmshapland 2y ago|1 comments
55.
by tmshapland 2y ago
Google's Gemini 2.0 solved the RAG problem for Conversational AI. Put your Knowledge Base (KB) in Gemini’s system prompt and have your agent make a tool call to Gemini. Accuracy: You get the right answer EVERY TIME. Latency: Response t
56.
by tmshapland 2y ago
Thank you for posting this.
57.
by tmshapland 2y ago
This type of project is the best of the Hacker News community. It makes reading and dealing with all the snark worth it.
58.
by tmshapland 2y ago
Keep fighting, Sterlind. Most people aren't full of hate. Just the assholes who take the time to comment mean things on social platforms.
59.
by tmshapland 2y ago
Where have I seen this before? Oh right, I remember now... "The books targeted for burning were those viewed as being subversive or as representing ideologies opposed to Nazism. These included books written by Jewish, half-Jewish, comm
60.
by tmshapland 2y ago
Great post, so interesting!

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