Viewing profile — znagengast
znagengast
HN member- Joined
- Thu, Nov 29, 2018, 8:27 PM UTC
- HN karma
- 51
- Public activity
- 23 items
- HN profile
- View on Hacker News ↗
About znagengast
Recent public activity
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Comment #48840362
Takes me back immediately, really cool!
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Comment #47678515
Maintainer of WhisperKit here, confirming we do exactly that for longform. We search for the longest "low energy" silence in the second half of the audio window and set the chunkin…
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Comment #47222052
Turns out third party actually gets priority for ANE
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Comment #38255375
This did not age well https://twitter.com/Shopify/status/1724079230663979066
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Comment #38071676
I have to play devils advocate here because for every one of these cases, there is probably a dozen of similar stories where the ambitious new guy actually did nuke the system with…
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Comment #37436568
The thumbs up icon killed me
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Comment #37356968
It's also largely dependent on the embeddings model as others have mentioned. Even if wikipedia doesn't have any words specifically referring to that monkey as "weird", the model i…
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Comment #37049293
Found the cake https://noclip.website/#Portal/escape_02;ShareData=AZZCH9W7f... [
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Comment #36371994
Isn't it crazy that the entirety of human knowledge can be condensed down to fit on an SD card.
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Comment #36295348
The page has changed over the years, there used to be a much more apologetic version "Reddit broke (sorry)" https://github.com/reddit-archive/reddit/commit/4778b17e939e... So they …
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Comment #36201982
Compared to how much progress the iPhone made from initial launch to now, the potential for this product line is very exciting.
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Comment #36140321
What if you split up the training down to the literal vector math, and treated every macbook like a thread in a gpu, with just one big computer acting as the orchestrator?
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Comment #36140295
Whoa didn't know about this, cool
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Comment #36139279
How feasible would it be out crowdsource the training? I.e. thousands of individual macbooks training a small part of the model and contributing to the collective goal
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Comment #35843181
Hey HN! I recently faced a challenge of generating vector embeddings within my Swift app, so I built this library as a "good enough" solution for on-device similarity search withou…
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Comment #35833686
How are you guys thinking about the embedding generation side of things? It seems like that part has a generally hefty compute cost before it even gets into the index - I just open…
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Comment #34814728
Brings to mind a quote from The Hitchhiker's Guide to the Galaxy: > "Only once you do know what the ultimate question actually is, you'll know what the answer means."
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Comment #18563723
This would be amazing! At lot of ML use cases are largely unfeasible in lambda on python without serious pruning. Latest version of tensorflow is 150mb uncompressed, add numpy pand…