baba crashing, china home prices contracting (-0.41% m/m)

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Here \m/

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Now its an M 😩

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##>!M!<>!O!<>!D!<>!S!<>!&nbsp;!<>!A!<>!R!<>!E!<>!&nbsp;!<>!🌈!<

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options m-m-m-mmm-m-make me happy.

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Say it with me “L M A O bers” 🤌

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$SRPT with a low $340 M expected revenues coming into earnings that will be posted on November 5, they are going to crush it. And the basic math also says they’ll have a strong Q4 given their current official guidance, (2.3-2.6B for year) which has not changed since the major over correction that happened over the summer. They have just presented amazing clinical data at the world conference last week that can assuage safety concerns and they continue to increase revenues into the billions. A strong commercial pipeline for a commercial stage biotech should be trading about 5-10 times multiple and they are only trading at an anemic .9. They’ve got over 20% short with several days to close, a real strong buying pressure day could be something. Regardless, it should continue to rise. It would be worthwhile for folks to do their due diligence on this one.

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As someone working in a field that this type of Ai might replace I feel there would have to be some major improvements over time, try and talk to a chat bot for support, that’s stage one of these changes and see how unintuitive they are, it’s unable to think outside of the specific situations it’s trained on, they can sort of extrapolate information and apply it to somewhat similar cases but in the end AI right now is really just a decision tree, if they say Y I say X if they say M I reply N etc. The amount of training that the AI needs is ungodly, we’re going on a year of training and it still hasn’t replaced our email support team, pair that with this has to be done for each company that wants AI, for the most part you can’t take the AI trained at one company and switch it to another, as they run differently and as I said the AI is really just a decision tree right now, making it’s next move based off what the person talking to it is saying, which sounds great until you realize you have to train it on every single situation, our requirements right now we have to double check everything the AI does, and yeah that will change soonish but I’m with a apparel company that is in the fortune 500 on good years so I imagine what we’re using isn’t cheap right now and it’s practically useless, imo. Not trying to shit on your party but I personally believe the use cases of AI are vastly over sold. Could you imagine having to program out every question and response that a customer service interaction could cover? That’s what the training for AI accomplishes, but from my personal small experience it takes way too long to train, could you imagine paying seven figures yearly for an application that takes multiple years to train to get to the point of laying people off to save money?

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o m g so mean ... so true ...

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3 M.

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