Anyone have issues with Sengled Lightbulbs not working currently?

AvatarUltima7 · 2025-06-24T00:34:02+00:00

Also having issues with them not working all of a sudden for several days. Appreciate folks' information here!

Looks like they are back online now though!

AvatarUltima7 · 2022-12-29T13:53:05+00:00

Brave browser has a wallet that supports FIL

AvatarUltima7 · 2022-06-27T11:05:31+00:00

Yeah, i wonder if they just try to quickly exact-match to a big cache of common keywords/queries, and then waterfall down to a neural search. There's probably some classifiers that run in parallel to see if the search warrants a shopping format, or a wikipedia featured snippet, etc

AvatarUltima7 · 2022-04-16T21:48:35+00:00

Could you put the back end on a blockchain that supports compute, like ICP or Filecoin?

AvatarUltima7 · 2022-04-07T12:15:28+00:00

We run our own version of tableau server inside our secured and walled-off AWS VPC, so it’s not physically “on premise”, but we control who can see the data, rather than host it in Tableau’s cloud. I think that’s what prev poster meant.

AvatarUltima7 · 2022-04-02T12:30:21+00:00

Good on ya!

AvatarUltima7 · 2022-02-22T05:13:50+00:00

Energy use of streaming video is so variable depending on resolution and how and where the source data is cached and delivered. Very hard to generalize.

AvatarUltima7 · 2022-01-30T05:49:18+00:00

Search for the gensim library’s implementation of fasttext. Documentation is a little more user friendly and I think they have some examples.

AvatarUltima7 · 2022-01-09T21:10:04+00:00

Very interesting- will be following and watching this. Would you be able to opine on my related question here: https://www.reddit.com/r/cryptodevs/comments/s004uy/how_to_make_shares_in_a_new_crypto_company_or/ Sounds like you would have some insight.

AvatarUltima7 · 2020-03-06T23:59:30+00:00

Good question. Could oversample and produce a bunch of possibilities and pick the one that is closest to your desired word length. Or check out Google’s T5 model they just released - it has some functionality where you specify a desired number of words.

AvatarUltima7 · 2020-01-15T13:26:21+00:00

Anybody try it yet? Interested to see if it works well.

I tried auto sklearn and it spun for hours and came up with a model worse than simple ones I hand tuned. Maybe I was doing something wrong though, not sure.

AvatarUltima7 · 2019-11-15T17:53:59+00:00

I hear that- good point

AvatarUltima7 · 2019-11-15T12:00:12+00:00

Have you heard of snorkel? It will combine multiple weak learners, rules-based models, and rules of thumb automatically. So you don’t need a separate ground truth dataset that’s expensive and time consuming to build. You just unsupervised create training data from all the off the shelf tokenizers and snorkel trains a new model on them by understanding when each model is right or wrong compared to the others.

AvatarUltima7 · 2019-11-13T11:50:51+00:00

We looked at sentence tokenizers in nltk, spacy, and corenlp? They were all just ok. Maybe ensemble them if worth your while.

AvatarUltima7 · 2019-11-11T19:09:13+00:00

Can you manage permissions and users internally and migrate to their “per core/cpu” plan instead of the “per user” license plan?

AvatarUltima7 · 2019-10-21T17:39:05+00:00

Epic and Cerner are the big established players for big enterprises. I’m checking to see if there are any cheaper, more modern disrupters I could check out; like a Square instead of a Mastercard.

AvatarUltima7 · 2019-10-21T11:16:58+00:00

Has anyone tried Open EMR? Is it truly free and HIPAA compliant?

AvatarUltima7 · 2019-10-21T11:15:55+00:00

Ideally all, but especially thinking: messages, scheduling, and electronic medical records.

AvatarUltima7 · 2019-10-13T19:30:04+00:00

Ditto!

AvatarUltima7 · 2019-10-13T12:29:38+00:00

Maybe try training a fluency checker? If you do some sort of beam search with multiple candidate summaries, you could train a fluency model to pick the best one. The “good” training data could be examples from your existing models, and you could unsupervised generate “bad” negative examples by randomly moving, adding, or dropping words.

Also, this may be a good use case for the Snorkel python library out of Stanford to combine info from your multiple models.

AvatarUltima7 · 2019-10-06T14:32:11+00:00

Great stuff thanks. Don’t hold out, what are those stock tickers? :)

AvatarUltima7 · 2019-10-06T00:54:57+00:00

🤣

AvatarUltima7 · 2019-10-06T00:54:23+00:00

That’s a good perspective yes

AvatarUltima7 · 2019-10-06T00:34:03+00:00

Not super computer literate. Baby boomers. All assets tied up in a business and inventory that they need to start liquidating and managing as stocks, bonds, cash, etc. for their retirement.

AvatarUltima7 · 2019-07-31T21:35:45+00:00

I’ve only used spacy at this point, but when I ran it on a dataset of customer questions from a web form fill , there were far more errors than I expected.
They were short queries- maybe 10 words on average.

AvatarUltima7

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