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Akeem

@akeem

152 Following
58 Followers
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Akeem
@akeem
happy to try out pro “for the culture”, I will say that it was kind of weird not to see a paymaster for the tx. I might be an abnormal user but it would be a ux win for everyone
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@akeem
I’ve never had, but what makes a lemonade diet?
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@akeem
I was 2 km away from today's mystery location 📍. Can you beat me?
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@akeem
I was 0 km away from today's mystery location 📍. Can you beat me?
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@akeem
nice
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@akeem
with hours and hours of audio to process, Meridian is on the back of a lot of LLM work. Initially I wanted a tool to provide trend data and the newsletter is a tangible way for me to justify the work. Particularly because it provides value to people without having to do the work.
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@akeem
yesterday I simplified something that should make back search a lot easier: deepgram diarizied data -> split by speaker with metadata -> vectorized -> into pgvector. I should now be able to do give me references Cosmos within this date range, and who did the mentions etc
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@akeem
One of my goals for Meridian is to ensure that it feels as native to the internet as possible. This will evolve as needed to resonate with the audience of today and tomorrow. With yesterday's issue, I also published a companion playlist that you should checkout https://blog.getmeridian.io/p/playlist-eth-scaling-solutions-by-2026-btc-edges-toward-83k
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@akeem
with that said, feel free to sign up to https://www.getmeridian.io/
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@akeem
I asked claude 3.7 Sonnet to write me a prompt for gpt-4o for the speaker assignment and now I have something I can pass a transcript to ,it samples, and provides predictions of which speakers are which
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@akeem
We sort of do this heuristic in our head of eliminating who the speaker isn't each time we listen to a new podcast. Since we can give the model a fair bit of context it should be able to knock it all down
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@akeem
The last issue of the newsletter covered 22 podcasts, that is a pretty heavy time investment for each issue. So I decided to see how far I could get with some of the easily accessible models
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@akeem
The context is in the conversation, and is an easy task for a human. For examples sake, we can say that introductions occur within the first few minutes of a podcast and the enrichment can occur
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@akeem
transcribing podcast in generally a starting point, base transcriptions can identify that several people are talking but not who they are. So enrichment is needed
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@akeem
working on Meridian, my newsletter that aggregates insights from crypto podcast, I leverage LLMs regularly as leverage. Sometimes to eliminate things that would otherwise be a pain in the neck to write.
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@akeem
swag acquisition opportunities for those not able to make it in person?
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@akeem
the leaning tower of ... pizza boxes, sorry I couldn't help myself
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@akeem
this should be posted on the door of any startup that has reached the size of needing a door
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@akeem
The newsletter is spinning up, get aggregate insights from podcast in the crypto space in your inbox 3 times a week! https://getmeridian.io . Sign up today!
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@akeem
Last week, I mentioned starting a newsletter. Here is a link to the sign up page www.getmeridian.io , the first issue should go out tomorrow :-)
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